On October 28, 2023, the Youth Union and Student Union of University of Information Technology (UIT) held their year-end conference to summarize the activities of the Youth Union, the youth movement, and student activities during the academic year 2022-2023. During this conference, the Faculty of Computer Engineering and the Department's Youth Union were recognized and rewarded for their outstanding contributions and achievements throughout the year. The Faculty of Computer Engineering received a commendation from the University's Board of Directors and, notably, a flag of commendation for their "Positive Contributions to Youth Union and Youth Movement Activities" for the academic year 2022-2023. The Department's Youth Union was honored with a commendation from the University's Student Union Executive Committee for their "Positive Contributions to Student Union and Student Movement Activities" for the same academic year. Additionally, many individuals who are members of the Faculty Computer Engineering Department's Youth Union and Youth Union leadership received commendations from various organizations, including the Ho Chi Minh City Youth Union Committee, the University's Board of Directors, the University's Student Union Executive Committee, and the University's Student Union for their excellent achievements and positive contributions to the youth and student movements at VNUHCM - University of Information Technology. These accolades serve as a clear testament to the collective efforts and dedication of the Computer Engineering Department's Youth Union and the individuals who are members of the Youth Union leadership. They continually strive to improve themselves, bring practical and positive values to their fellow members, students in the department, and embody the spirit of "Comprehensive - Creative - Service." We extend our best wishes to the Computer Engineering Department's Youth Union and all the members who are part of the Youth Union leadership, as well as the collaborators and volunteers associated with the Youth Union. May you continue to achieve even greater success, spreading more values and positive messages throughout the academic year 2023-2024. Hạ Băng - Collaborator, Information Technology University Communication Team English version: Phan Huy Hoang

University of Information Technology is pleased to announce the extension of the application deadline for direct admission and evaluation into the Master's and Ph.D. programs for the second intake of 2023. Available Programs and Quotas: 1. Information Technology: Course Code 8 48 02 01, Quota: 68 2. Computer Science: Course Code 8 48 01 01, Quota: 78 3. Information System: Course Code 8 48 01 04, Quota: 57 4. Information Security: Course Code 8 48 02 02, Quota: 40 Application Deadline: until the end of November 8, 2023. Eligibility Criteria for Application: proficiency in a foreign language through one of the following qualifications: A degree obtained from full-time foreign institutions where the language of instruction is the same as the foreign language tested, and is recognized by the authorized agencies in accordance with the current regulations A degree in English, French, Russian, German, Chinese, Japanese, or Korean. A degree earned from institutions where the program is conducted in a foreign language, recognized by the Ministry of Education and Training or Viet Nam National University Ho Chi Minh City (VNUHCM) A degree earned within the last two (02) years, meeting the foreign language proficiency requirements for Master's degree applicants amd possessing language proficiency certificates upon completing undergraduate studies. One of the B1 certificates issued by training institutions authorized by the Ministry of Education and Training to organize exams and issue certificates that meet the language proficiency requirements for admission to Master's degree programs. Certificates equivalent to level 3 or above on the 6-level Foreign Language Proficiency Framework used in Vietnam, recognized by the Ministry of Education and Training and VNUHCM for Master's degree applicants and level 4 or above for PhD applicants. These certificates are valid for two (02) years from the date of issuance to the application deadline. Required Documents: 01 Direct Admission Cover Sheet (as per the template)/Evaluation Admission Cover Sheet (as per the template) 01 Direct Admission Application Form (as per the template)/Evaluation Application Form (as per the template) 01 Copy of Bachelor's degree certificate (authenticated) 01 Copy of Bachelor's degree transcript - Vietnamese (authenticated) 01 Copy of Proof of language proficiency: If a language certificate is provided, no authentication is required. If a Bachelor's degree certificate is submitted, it must be authenticated.  01 Health certificate (obtained from district clinics, valid for 12 months) 01 Academic CV (as per the provided template) Copy of Certificate confirming the status of top graduate (if applicable) Supplement transcripts (for closely related fields) Certificate of policy beneficiary (if applicable) Two 3x4-size photos (with name and date of birth) Academic achievements, research papers, and scientific publications (if applicable) APPLY VIA THE ONLINE FORM: http://bit.ly/2lT5vFy and send the hard copy of your application to: Department of Graduate Studies - Science Technology (Room A106)-University of Information Technology Quarter 6, Linh Trung Ward, Thu Duc City, Ho Chi Minh City. Phone: (028) 37252002-110. Office of Graduate Studies Management 7-9 Nguyen Binh Khiem Street, Ben Nghe Ward, District 1, Ho Chi Minh City. Phone: (028) 66735861. Hotline: 0918 302 372 (Ms. Minh)  Email: qlsdh@uit.edu.vn. Website: http://www.uit.edu.vn or http://www.sdh.uit.edu. For more information, visit: https://sdh.uit.edu.vn/bai-viet/thong-bao-vv-gia-han-thoi-gian-nop-ho-so-du-tuyen-trinh-do-thac-si-trinh-do-tien-si-dot-2 Ha Bang - Media Collaborator, University of Information Technology Translation: Nhat Hien    

1. Objectives of the training program 1.1 General goals Training Master of Science with solid basic knowledge and expertise, and professional practice skills; have a comprehensive and systematic thinking method, the ability to approach, organize and solve scientific and technical problems related to the field of Information Security; At the same time, have the ability to communicate and work effectively in multidisciplinary teams and integrate in an international environment, and have the knowledge to continue studying at the doctoral level. To meet the social need for human resources with high professional capabilities in the field of Computer Networks and Information Security, the goal of the graduate training program in Information Security is to train masters with political and moral qualities; have general knowledge and research methods on Information Security; have the ability to work independently and creatively; Able to discover, research and solve common or specialized practical problems; Able to impart knowledge in the field of Information Security. 1.2 Specific goals The specific goal of the Information Security master's program is to equip students after graduation: - Have in-depth knowledge and grasp new technological knowledge about the Information Security industry; Have a synthetic thinking method and apply technological knowledge to solve scientific and technical problems related to the field of Information Security to meet the practical needs of society. - Have skills to detect and model problems and apply knowledge, modern technical tools, and practical skills to solve posed problems. - Have skills to work in a multi-industry, multi-field and international application environment, meeting the requirements of projects in the Information Security industry, while being aware of and complying with regulations in the Information Security industry. job. - Have the ability to work independently and creatively; Be able to discover, research and solve common or specialized practical problems 1.3 Perspectives on building training programs The University of Information Technology applies theoretical training linked to practice to create Information Security experts who can adapt to the development of science and technology. The Information Security master's level training program is built according to research orientation and application orientation, specifically: Research master's training program: provides learners with in-depth knowledge of the industry and in-depth scientific research methods, learners have full skills in critical thinking, creative thinking and independent research to proactively explore and develop new scientific perspectives, ideas, and treatises on scientific issues or scientific experiments, and be able to perform work in research and teaching positions. teaching, consulting and policy planning or other positions in the field of training; can continue to participate in doctoral training programs. The allocated time focuses heavily on research and thesis writing time. The research results are presented in a scientific article about the results of the master's thesis by the student as the main author; Research-oriented master's degree program provides learners with in-depth knowledge of the field and appropriate scientific research methods to be able to independently research and develop scientific perspectives and theories, can initially form scientific ideas, discover, discover and test new knowledge; Able to perform work in research, teaching, consulting and policy making positions or other positions in the field of training; can continue to participate in doctoral training programs; Application-oriented master's training program helps learners improve professional knowledge and professional skills; have the ability to work independently and creatively; Have the ability to design products, apply research results, discover, and organize the implementation of complex tasks in professional activities, promote and effectively use specialized knowledge in implementation. Specific jobs, suitable to actual conditions at agencies, organizations, and economic units; You can learn some additional basic industry knowledge and research methods according to the requirements of the doctoral training industry to continue participating in the doctoral training program. The program is designed and built based on: - Recommendations of the computer organization ACM (Association for Computing Machinery). - The approach to building curriculum is CDIO. - Refer to graduate training programs in the field of Information Security of member schools of National University of Ho Chi Minh City. Ho Chi Minh and Hanoi National University. - Refer to postgraduate training programs in Information Security from universities around the world such as: · London Metropolitian University, UK · Monash University, Australia 1.4 Job opportunities after graduation After graduating, students can take on specialized positions in information security such as: - Security and safety administrators, information security solution integration experts, information security development experts, information security lecturers and researchers. - Director of information security, head of information security department. - Researcher at institutes, centers, research agencies or teaching at universities and colleges. - For research-oriented and research-oriented master's training programs, the academy can continue. 2. Requirements for learners To study the Master's program in Information Security, students must comply with the admission regulations below. Right industry, suitable industry, close industry, and different industry from Information Security industry No. Group Industry 1 Right industry, approriate industry Computer Networks and Data Communications, Information Security Computer Science, Information Technology, Software Engineering, Information Systems, Computer Engineering at the VNUHCM - University of Information Technology 2 Close industry Computer science, Software technology, Information systems, Computer engineering, Informatics, Applied informatics, Management information systems, Management informatics, Industrial informatics, Math-informatics, Mathematics -Computer control, Information processing, Information engineering, Geographic information system. 3 Different industry Other industries Regulations to supplement knowledge List of additional subjects: No. Subject ID Subject title Credit Theory Practice 1. IT002 Object-oriented programming 4 3 1 2. IT003 Data structures and algorithms 4 3 1 3. IT004 Database 4 3 1 4. IT005 Introduction to computer networks 4 3 1 5. IT006 Computer architecture 3 3 0 6. IT007 Operating system 4 3 1 Total credits 23     Subjects belonging to the right industry or appropriate industry do not need to learn additional knowledge. Subjects in the close industry must learn additional knowledge. Determining additional subjects will be based on the student's transcript compared with the list of additional subjects. Subjects in other industries: specialized units consider each specific case. 3. Training time, number of credits required Training period: 02 years. Teaching activities at the master's level are carried out in two main semesters in each school year and the school's summer semester, with the services of the library and related units. The entire program takes 24 months (including thesis defense time) and is divided into 5 stages. - Phases I, II, III, IV: about 4 months/phase. - Stage V: about 8 months. Total required credits: 60 credits. 4. Type of training program Type of training program: Regular Training form: Focused training combined with the use of online training technology including general knowledge, basic industry knowledge and specialized knowledge. The training program is divided into the following orientations: - Research direction - Research orientation - Application orientation 5. Training program Total credits to accumulate: 60 credits, of which: - General knowledge: 7 credits Philosophy: 3 credits Mathematics: 4 credits · English: Calculated separately (0-7 credits depending on the student's English level) - Basic knowledge and specialized knowledge: 28 credits (research), 35 credits (research orientation) or 41 credits (application orientation) Compulsory courses: 9 credits · Elective courses: 19 credits (research), 26 credits (research orientation) or 32 credits (application orientation). - Master thesis: Research: 25 credits Research orientation: 18 credits Application orientation: 12 credits Ratio of knowledge block: KNOWLEDGE BLOCK NUMER OF CREDITS NOTE Research Resesarch Oriented Application Oriented General knowledge Philosophy 3 3 3   Mathematics 4 4 4   Fundamental and specialized knowlegde Fundamental knowlege 14 14 14   Specialized knowlegde ≥ 14 ≥ 21 ≥ 27   Thesis 25 18 12   Total ³ 60 ³ 60 ³ 60 Learners are allowed to accumulate over 60 credits  

1. GENERAL INTRODUCTION 1.1 Academic training objectives: Master of Science in Information System (IS) is built and implemented to meet social needs of the high-ranked workforce in IS who is with proper political view in mind, dignity and physical well-being, excels in IS’s fundamental and depth knowledge, able to organize and apply IT application in developing professional and management activities in socio-economic organizations. Learners are provided with fundamental and in-depth knowledge, concrete methodologies, methods of analyzing, designing systems; analyzing skills, synthesizing, making solution, developing critical thinking in order to do research and solve popular problems of the field. Learners access the latest achievement in IS; are able to apply the IS achievements practically, have the ability to do research and develop at a high level. The Master of Science in IS program is categorized into 03 types: researching Master of Science program, research orientation Master of Science, and application orientation Master of Science. Researching: it provides learners with in-depth knowledge of IS, intensive scientific research methods; skills of critical, creative thinking and independent ability while doing research so that learners can proactively explore and create their personal opinion, idea and scientific treaty or scientific experiments; they are able to work as researchers, teachers or apply for professional positions in IS; or they continue their education in the doctoral degree program. Research-oriented: it provides learners with in-depth knowledge of IS and appropriate scientific research methodology so that they can work independently and organize researching; conjure up scientific idea in their mind; they can work in research institutes and teach at universities; they continue their education in the doctoral degree program. Application-oriented: through the program, learners improve their professional knowledge and skills; work independently and creatively; analyze designs, implement a system of information, employ a research outcome for professional activities. Learners are required to study additional fundamental knowledge and research methodology in case they continue their doctoral degree programs. 1.2 Study period of time and compulsory credits: Type of Training: Full-time Period of time: 2 years. According to the Circular No.15/2014/TT-BGDĐT by the Ministry of Education and Training, learners who graduated from universities in IS and with the accumulated credits of at least 150 credits, they are entitled to having a quicker period of time from 1 to 1.5 years. Total accumulated credits: 60 credits, including: General knowledge: 7 credits Fundamental and professional knowledge: 28 credits (researching), 35 credits (research-oriented) or 41 credits (application-oriented) Compulsory modules: 9 credits. · Elective modules: 19 credits (researching), 26 credits (research-oriented) or 32 credits (application-oriented). Thesis: Researching: 25 credits. Research-oriented: 18 credits. Application-oriented: 12 credits. 1.3 Viewpoint in the making of the program Information System is the field of researching and application of IT in socio-economic systems. UIT has applied theories into reality to produce IS experts who can react well with the socio-economy development. This program is tailored and developed on: Professional Associations’ recommendation: Association for Computing Machinery: "Curriculum Guidelines for Undergraduate Degree Programs in Information Systems" 2010 Communication of The Association for Information Systems: "Model curriculum and guidelines for graduate degree programs in information systems" . 2010 This IS training program was referred from prestigious universities both in Vietnam and overseas, such as: VNUHCM - University of Science. VNUHCM - University of Technology. University of Technology – Vietnam National University Ha Noi City. National University of Singapore. The University of Arkansas (USA). Carnegie Mellon University (USA). University of California, Los Angeles (USA). The University of Melbourne (Australia). UIT’s Master of Science program in IS was tailored by combining the above list of reference so that learners are free to select one out of 3 majors involving IS Management, IS Administration and Business Analysis. 1.4 Competency and Job vacancy Learners graduating with the Master of Science degree in IS get higher competency to apply for a job vacancy to be: Specialists to analyze, design, install IT projects to meet different needs of application in organizations and enterprises. Researchers at Institutes, Centers; teachers at Universities and Colleges. Chief Information Officers, database administrators. IT specialists in Business Analyst Specialists take charge of planning projects, making policy on IT development, providing consultancy, proposing solutions, constructing and maintaining IT projects. For research, and research-oriented programs, learners can continue their doctoral training programs. 1.5 The subjects on the entrance examination Test at the entrance examination includes three subjects: Fundamental subject: Mathematics for Computers. Professional subject: Fundamental IT. Foreign language: examination takers choose one of the following languages: French, Russian, German, Chinese and Japanese. An examination taker must register a foreign language at a university’s testing center. In case the foreign language which he / she registers is not included in the examination at that university, they can register at any of VNUHCM’s foreign language testing centers during the VNUHCM’s entrance examination for Master program to take that selected foreign language. In case both of VNU-HCM and the university do not have the examination for his / her registration of foreign language, the candidate must prove that he / she meets all conditions for exemption of foreign language examination that is prescribed in UIT’s regulations on the enrollment of Master and Doctoral degrees. 2. TRAINING PROGRAM Total accumulated credits: 60 credits, including: General knowledge: 7 credits Philosophy: 3 credits Mathematics: 4 credits English: excluding (0-7 credits, depending on learners’ English proficiency) Fundamental and professional knowledge: 28 credits (researching), 35 credits (research-oriented) or 41 credits (application-oriented) Compulsory modules: 9 credits. Elective modules: 19 credits (researching), 26 credits (research-oriented) or 32 credits (application-oriented). General elective subjects: 15 credits (researching), 19 credits (research-oriented) and 21 credits (application-oriented). Elective modules: 4 credits (researching), 7 credits (research-oriented) and 11 credits (application-oriented). Thesis: Researching: 25 credits. Research-oriented: 18 credits. Application-oriented: 12 credits. Rate for the amount of knowledge: AMOUNT OF KNOWLEDGE CREDITS REMARKS Researching Researching- oriented Application- oriented General knowledge Philosophy 3 3 3   Mathematics 4 4 4   Fundamental And Professional knowledge Compulsory modules 9 9 9   General electives modules >=15 >=19 >=21   Elective professional modules >=4 >=7 >=11   Thesis 25 18 12   Total 60 60 60 Learners are allowed to accumulate over 60 credits

1. INTRODUCTION Doctorate in Information Technology program at the University of Information Technology- VNUHCM is taken charge by the Department of Science and Engineering Information. The content of the academic training program is updated based on the mission and objectives of the training of the field, compared with the training programs in the field of information technology (IT) at the Vietnam National University Ho Chi Minh City as well as some other universities in the region and in the world. 1.1 Academic training objectives: The general objective of the doctorate in IT training program is to train scientists in the field of IT with a high level of theoretical and practical ability, scientific thinking and independent research, to have the ability to create, to discover and solve new problems in science, technology and scientific research, to have access to and solve scientific problems. 1.2 Viewpoints for building academic training programs The doctorate in  IT training program is developed in the direction of self-study with the guidance of the scientific instructor and the specialized unit in charge; To attach importance to training methods and habits of scientific research and development of creative thinking in detecting and solving professional problems.      The program is designed and built based on: · Refer to doctoral programs in information technology and communication of university members of Vietnam National University-HCMC and Hanoi National University. · Associate doctoral program between Hanoi University of Technology and Sydney University of Technology. · Refer to the IT graduate programs of universities in the world such as: Virginia Tech University, USA University of Technology, Sydney Queensland University of Technology, Australia 1.3 Form and time of academic training: The duration of doctoral training for holders of master's degrees is 3 years of continuous training; for those who have graduated from university but have not got a master's degree in relevant fields is continuous 5 years. If postgraduate does not follow the continuous training and is accepted by the University; postgraduate’s training and research programs must have the total study time and study as stipulated above of which at least 12 months at the training establishment to carry out the research project. In this case the training time is one year plus for each subject. 2.  APPLICATION OBJECTS     Doctoral degree in IT from 2014 3. TRAINING REGULATIONS The doctorate program in IT of the University of Information Technology is based on: · Regulation on doctoral training issued in conjunction with the Decision No. 25 / QĐ-ĐHCNTT-ĐTSĐH dated 15 April 2014 of the President of University of Information Technology (abbreviated as training regulation of the University of Information Technology) ). · Regulations on training doctoral level, according to Decision No. 1020 / QĐ-ĐHQG-ĐH&SĐH on 10/09/2010 of the Director of VNU-HCM. · Regulation on doctoral training issued together with Circular No. 10/2009 / TT-BGD & DT dated 07 May 2009 of the Ministry of Education and Training; and Circular No. 05/2012 / TT-BGDDT dated 15 February 2012 of the Ministry of Education and Training amending and supplementing Circular No. 10/2009 / TT-BGDDT, effective from 2/4/2012 4. LEARNING OUTCOMES Graduates of doctorate programs in IT must meet the following requirements of learning outcomes (LO): 4.1 Knowledge · LO 1: Having advanced, comprehensive and IT knowledge · LO 2: Having independent research thinking, creativity, mastering core values, important in learning, developing principles and doctrines of IT majors. · LO 3: Having the knowledge, ability to detect or know the organization of work, professional, directly solve the scientific problems in the field of IT. Having knowledge in integrated IT systems or inter-IT related systems. 4.2 Skills · LO 4: Be skilled in detecting, analyzing complex issues and providing innovative solutions to problems. · LO 5: Personal skills in logical thinking, independent research, creative and lifelong learning. · LO 6: Having communication skills, national or international group formation and effective team leader. · LO 7: Highly capable of presenting, presenting (in the form of articles, conference reports, undergraduate and graduate teaching) science issues in the IT field. · LO 8: Good English skills, able to communicate, discuss with scientists, experts in English in the field of IT. Can write scientific reports, specialized reports. · LO 9: Having the capacity to synthesize collective intelligence, to lead the profession, to handle issues of international scale. 4.3 Attitudes · LO 10: Awareness of civic responsibility; Have proper professional attitude and ethics. · LO 11: Be responsible, able to work independently or as a team player with professional conduct. 4.4 Capacity and position of employment: After graduation, the doctorate in IT: High knowledge and proficiency, grasp new IT technologies. Have the ability to lead in the IT field that has been trained. · Have creative ability to perform task; Self-directed, adaptable to the IT environment. · Have ability to self-study, accumulate knowledge, experience to improve the level. · Have ability to analyze and evaluate conclusions about expertise and some complex issues in the IT system. · Have ability to plan IT systems, coordinate and promote collective intelligence. · Have ability to improve and evaluate IT activities at medium scale. · Have ability to lead the research team and apply new and multidisciplinary knowledge to develop IT products and applications in enterprises, research institutes or consultants, senior experts in organizations. · Have ability to analyze practices to identify suitable designs for an integrated IT system. Be able to teach undergraduate, postgraduate programs in IT 5. CURRICULUM Pursuant to the Regulation on doctoral training of universities. IT, postgraduates  must do the following three parts of the training program: Part 1: Additional modules. Part 2: Ph.D. theses, Ph.D. theses, general essays. Part 3: Scientific research and doctoral dissertation. 5.1) Part 1: Additional modules Additional modules are available for postgraduates who do not have a master's degree or have a master’s degree in the relevant field, which will help them to have sufficient knowledge and expertise to perform their duties.      Postgraduate does not have a master's degree and must study the supplementary basic subjects and the specialized subjects in the IT master curriculum in the current IT sector, not including the philosophy subjects to complete the IT master's degree courses.     Postgraduate holds a master’s degree in the relevant field, and then compares it with the existing master’s thesis. Postgraduate must study the missing subjects of the basic and specialized subjects in the IT master program. The list of supplementary subjects will be based on the current IT master's degree program as well as the Doctoral Entrance Examination.      Completion of additional modules is 5.0 or higher. 5.2) Part 2. PhD theses, doctoral theses, overviews 5.2.1 Doctorate modules The purpose of the doctoral modules is to help postgraduate to update new knowledge in the field of specialization; improve the theoretical level, research methodology and ability to apply important and essential research methods in the field of research. Including 12 credits are 6 compulsory and 6 elective credits.      Completion points for doctoral degrees are 7.0 or higher.      In addition to 6 required credits, professional units and supervisors are based on the thesis's research to select elective subjects (6 credits) for postgraduate. List of IT PhD degree programs: No. Subject code Module name Credits Compulsory module 6 1. IT3001 Scientific research methodology 3 2. IT3002 Advanced software technology 3 3. IT3003 Modern networking and communication technology 3 4. IT3004 Modern computer technology 3 5. IT3005 IT system management 3 6. IT3006 Information security and confidentiality 3 7. IT3007 Knowledge technology and data 3 Selective modules 6 8. IT3008 Distributed algorithm 3 9. IT3010 Speech recognition 3 10. IT3011 Advanced topics in game theory and applications 3 11. IT3012 Advanced topics in coding 3 12. CS3101 Advanced Artificial Intelligence  3 13. CS3103 Intelligent problem solving and application 3 14. CS3105 Modern human-machine methods 3 15. CS3112 Advanced Data Mining 3 16. CS3113 Retrieve information 3 17.   Or elective subjects in the current MSc curriculum 3 Note: Required doctoral courses or other optional doctoral courses are available upon request of the Scientific Advisory Board. 5.2.2 Doctorate theses     Postgraduate must complete 3 PhD papers (2 credits / thesis) before the scientific council established by the College of Technology (3 x 2 credits = 6 credits). The doctoral thesis requires postgraduate to update the new knowledge directly related to the subject of postgraduate, improve the capacity of scientific research, help postgraduate to solve some contents of the thesis. Completion of Ph.D. topics is 7.0 or higher.      Postgraduate must register for doctoral studies in accordance with its research direction with the approval of the instructor and the specialized unit. List of in-depth directions suggested in doctorate thesis: No. Code Intensive direction Credits 1 IT3101 Advanced knowledge representation 2 2 IT3102 Intelligent information system 2 3 IT3103 Image processing and visual computing 2 4 IT3104 Social network analysis 2 5 IT3105 Demonstration of space time data 2 6 IT3106 Ontology represents resources in teaching and learning 2 7 IT3107 In-depth software testing 2 8 IT3108 Data mining is based on raw file systems 2 9 IT3109 Modern information system security 2 10 IT3110 Randomized Kalman-Bucy-Stratonovich filtering 2 11 IT3111 Robot Manipulation: computer control - robot 2 12 IT3112 Processing video data 2 13 IT3113 Ecommerce Data Mining 2 14 IT3114 Online audio signal processing 2 15 IT3115 Wireless sensor network 2 16 IT3116 Speech recognization 2 17 IT3117 Information security on mobile devices 2 18 IT3118 Information processing and analysis system 2 19 IT3119 Mobile positioning using Wifi 2 20 IT3120 Network security and optimization 2 21 IT3121 Computer vision 2 22 IT3122 Computer graphics and visualization 2 23 IT3123 Database management and data warehouse 2 24 IT3124 Spatial information system 2 25 IT3125 Analysis on big data 2 26 IT3126   Parallel processing on big data 2 Note: Other doctoral dissertations are updated at the request of the Scientific Advisory Board. 5.2.3 Overview essay      Postgraduate must conduct an overview of the research situation and issues related to the thesis, the essay requires the postgraduate to demonstrate the ability to analyze, evaluate, compare with the research. The authors of the theses and the foreigners are closely related to the dissertation topic, addressing the remaining issues, pointing out the issues that the thesis should focus on studying and solving. The overall essay score is 7.0 or higher.      Postgraduate conducts the essay report after completion of the doctoral dissertation and needs to successfully defend the essay review before submitting the dissertation.  5.3) Part 3. Scientific research and doctoral dissertation      Postgraduate must defend the dissertation thesis and be approved by the council of science and technology before the thesis.      The doctoral dissertation must find new results, not duplicate the research of others, solve a whole scientific problem, is a unique scientific research, accurate, honest, bright Create in the field of research, contribute theoretically, contain new knowledge or solutions that are valuable in developing, increasing the scientific knowledge of the field of research or solving creative problems. It is set up with a science or social practice, and abide by intellectual property laws of Vietnam and internationally. The main contents and research results of the dissertation must be reported at specialized scientific conferences; published in at least two articles in independent scientific journals, scored by the State Council Professor, included in the list of scientific journals prescribed by the training institution for each training specialty. Encourage postgraduate to post in reputable international scientific journals listed at http://science.thomsonreuters.com/mjl/ or post them on the international scientific journal proceedings published by International prestige publications.      Postgraduate successfully defended the thesis before the specialized unit council and the board at the University level as required. 6. PLAN OF DEMO TEACHING The duration of the doctoral program is two semesters in each school year and summer semester, with service from the library and the relevant units.      All doctoral degree programs for master degree holders are 3 years of continuous study; for those who have graduated from university but do not have a suitable master's degree is 5 years of continuous study are required. The instructional plan is divided into 10 phases, each period of 6 months.      Pursuant to the Regulation on doctoral training of University of Information Technology, expected time for postgraduate to complete the module: Part 1. Additional modules: 24 months. Part 2. Ph.D. modules, PhD topics, review essays: max. 24 months. PhD degrees. PhD topics. Overview essay. Part 3. Scientific research and doctoral dissertation: Scientific research: 24 months research. Ph.D thesis: done in 12 months.      Pursuant to the Regulation on doctoral training of the University of Information Technology, expected plan as: Stage Academic year Knowledge blocks Accomplishment 1 1 Additional modules Attend the corresponding graduate class. Supervisor and professional unit propose subject and submit to the President for decision. 2 3 2 4 5 3 Compulsory module (6 credits) Proposal of Professional unit 6 Selective modules (6 credits). Proposal of Professional unit and Supervisor 7 4 Doctorate program 1 (2 credits). Doctorate program 2 (2 credits). Approval of Supervisor and Professional unit 8 Doctorate program 3 (2 credits). Approval of Supervisor and Professional unit Start doing scientific research. Start the Essay Overview Postgraduate performs the overview dissertation, successfully defends the overview dissertation prior to submission doctorate dissertation 9 5 Continue to do scientific research. Started the doctorate dissertation The doctorate dissertation is proposed by the professional unit and the President considers the decision. 10 Continue to implement and defend the dissertation. .The professional unit organizes the committee of dissertation defense for postgraduate 7. GRADUATION CONDITIONS To qualify for graduation, postgraduates must meet the following requirements: · Complete additional modules if they do not have a master's degree or have a master’s degree in the relevant field. Completion of Ph.D. theses, Ph.D. theses, overview essays. Completion of scientific research and doctoral dissertation. · Must publish at least two articles in the independent scientific journal (within the list of articles are recognized Assoc.Prof., Prof.), reflect the research results of the thesis.  

1. INTRODUCTION Master of Science in Information Technology program at the University of Information Technology- VNUHCM is taken charge by the Department of Science and Engineering Information. The content of the academic training program is updated based on the mission and objectives of the training of the field, compared with the training programs in the field of information technology (IT) at the Vietnam National University Ho Chi Minh City as well as some other universities in the region and in the world. 1.1 Academic training objectives: Training the master's degree in IT to help learners to supplement, update and improve IT knowledge; strengthen interdisciplinary knowledge between the IT industry and other sectors; have in-depth knowledge in a certain science field in the IT industry and the skills to apply knowledge to research and apply to professional practice; have ability to work independently, creative thinking and have ability to detect, solve problems in the IT industry. In order to meet the social needs of highly qualified human resources in the IT field, the objective of the IT academic training program is to train masters of political virtue; have general knowledge and research methods in IT; have the ability to work independently and creatively; be capable of detecting, and researching, solving common or specialized practical problems; have ability to transfer IT knowledge. 1.2 Capacity and position of employment after graduating: After graduation, having the ability to undertake: Working in a company (CTO, CIO, CEO, Senior Engineer, ...); Researching in Research & Development departments; · Having ability to plan, project, organize, administer and manage information technology projects in agencies and enterprises; Having ability to undertake research in R & D; Teaching at IT universities; Having ability to develop research at PhD level. 1.3 Form and time of academic training: Form of training: Regular Fulltime Mode of training : Centralized training incorporates online training technology including general knowledge, branch background knowledge and specialized knowledge. The academic training program is divided into two orientations: Orientation of research: provide learners with in-depth knowledge of the IT industry and appropriate scientific research methods so that they can independently study and develop their opinions, scientific hypothesis, initially can form scientific ideas, discover, explore and test new knowledge; be capable of performing work in research, teaching, consulting and policy making positions or other positions in the IT sector; to be able to continue to participate in doctoral degree programs in IT. Orientation of application: helps learners to improve their professional knowledge and skills in professional activities; Have the ability to work independently and creatively; to be possible to design products, apply research results, discover and organize complex tasks in professional activities, promote and effectively use IT knowledge in real work, to perform specific tasks, suitable to practical conditions at agencies and organizations. Time of training: 02 years 2. LEARNING OUTCOMES     Graduates of learner masters programs in IT must meet the following requirements of learning outcomes (LO) 2.1 Knowledge LO 1 : To have advanced knowledge in the field of IT training towards the application and access to new technologies. LO 2 : To have ability to think systematically, self-study in issues related to specialized areas such as research, development, simulation, design and implementation of applications and systems in the field of IT. LO 3 : To have the ability to undertake the duties of an IT specialist such as Chief Technical Officer (CTO), Chief Information Officer (CIO), Chief Executive Officer (CEO), Senior Engineer; to have the ability to undertake research in R & D, teaching positions at specialized technical schools, and to have the ability to develop in-depth research at the doctoral level. LO 4 : To have the ability to plan, project, organize, administer and manage IT projects. To have the ability to survey, analyze, evaluate and solve IT problems in agencies and companies. 2.2 Skills LO 5 : Having technical, skillful presentation clearly. Having skills in accomplishing complex, regular, and irregular tasks. LO 6 : Having ability to apply new technologies into IT projects and projects. Having independent research skills to develop and test new solutions. LO 7 : Having a scientific approach, a strategic vision and to propose solutions to problems in IT. 2.3 Qualities, attitudes LO 8 : A sense of civic responsibility, proper attitudes and ethics. Be able to work independently or in team work. LO 9 : Have a lifelong learning sense, working science. 2.4 Capacities LO 10 : Have ability to update in-depth knowledge, grasp new technologies in IT, lifelong learning; LO 11 : Have ability to research and apply new and multidisciplinary knowledge in developing IT products and applications; LO 12 : Well performing in research at development departments, teaching positions in IT fiels, and capable of developing research at the doctoral level. LO 13 : Have ability to detect and solve problems in the professionally trained, proposing valuable initiatives. LO 14 : Have ability to adapt to a highly competitive environment. LO 15 : Having the capacity to lead expertise to handle major issues, protect and take responsibility for professional conclusions. Have ability to develop and evaluate plans in highly competitive environment. LO 16 : Have the capacity to promote collective wisdom in management and professional activities. 3. CURRICULUM 3.1 Knowledge blocks Brief overview of training modules: Knowledge blocks Type of programs Research Orientation Application Orientation General knowledge Philosophy 7 credits 7 credits Mathematics Basic knowledge and specialization knowledge Basic knowledge ≥ 11 credits ≥ 11 credits Specialization knowledge ≥ 27 credits ≥ 32 credits Graduation Graduation thesis 15 credits 10 credits Total number of credits accumulated at the end of the course ≥ 60 credits ≥ 60 credits 3.2 Curriculum frame No. Subject code Subject name Credits number Credits Theory Practice I. General knowledge 7 1. PH2001 Philosophy 3 3 0 2. MA2001 Mathematics 4 3 1 II. Basic knowledge (Select at least 11 credits) ≥ 11 3. IT2001 Scientific research methodology in IT 2 2 0 4. IT2002 Advanced software technology 3 2 1 5. IT2003 Modern networking and communication technology 3 2 1 6. IT2004 Modern computer technology 3 2 1 7. IT2005 IT system management 3 2 1 III. Specialization knowledge If you choose the research orientation path, you must choose at least 27 credits If you choose the application orientation path, you must choose a minimum of 32 credits Research orientation Application orientation ≥ 27 ≥ 32   A. Subject Group on Information Security 8. IT2006 Information security and confidentiality 3 2 1 9. IT2007 Advanced topics in Computer Security 3 2 1 10. IT2028 Secure wireless mobile network 3 2 1 11. IT2009 Security analysis for network protocols 3 2 1 12. IT2010 Evidence on computers and networks 3 2 1 13. IT2025 Information theory 3 2 1 14. IT2029 Advanced malware analysis techniques 3 2 1   B. Group of subjects in Information Technology and Management 15. IT2011 Advanced database 3 2 1 16. IT2030 Advanced geographic information system 3 2 1 17. IT2031 Decision support systems 3 2 1 18. IT2015 Enterprise Resource Planning 3 2 1   C. Subjects groups in Embedded Systems 19. IT2018 Programming system with Java 3 2 1 20. IT2019 Human-machine interaction 3 2 1 21. IT2020 Embedded systems 3 2 1 22. IT2021 Advanced digital signal processing 3 2 1 23. IT2032 Internet technology of modern things 3 2 1 24. IT2033 Hide information on digital and application data 3 2 1 IV. Graduation thesis (thesis choice in the direction of research or thesis in the direction of application) 25. IT2022 Thesis in the direction of research 15 15 0 26. IT2023 Thesis in the direction of application 10 10 0 TOTAL ≥ 60               Attention: · Basic subjects may be changed to specialized subjects after having accumulated 11 credits. · Basic / specialized subjects can be supplemented through the professional advisory council of the professional unit. · Specialized subjects may be selected in a Master of degree in Computer Science with a maximum of 10 credits. 4. PLAN OF DEMO TEACHING The duration of the master's degree program is two semesters in each academic year and summer semester of the University, with the service of the library and its related units. The whole program is conducted in 24 months (including the thesis defense period) and is divided into 5 phases. As follows: Phase I, II, III, IV: about 4 months / stage. Phase V: about 7 months. No. Subject code Subject name Credit numbers Stage Credits Theory Practice I. General knowledge 7   1. PH2001 Philosophy 3 3 0 I 2. MA2001 Mathematics for IT 4 3 1 I II. Basic knowledge (common to 2 directions, open 4/5 subjects to at least 11 credits) ≥ 11   3. IT2001 Scientific research methodology in IT 2 2 0 I 4. IT2002 Advanced software technology 3 2 1 I 5. IT2003 Modern networking and communication technology 3 2 1 II 6. IT2004 Modern computer technology 3 2 1 II 7. IT2005 IT system management 3 2 1 II II. Specialization knowledge (choosing between research orientation or application orientation) Research orientation Application orientation   ≥ 27 ≥ 32 8.   Elective subject 1       II 9.   Elective subject 2       II 10.   Elective subject 3       III 11.   Elective subject 4       III 12.   Elective subject 5       III 13.   Elective subject 6       III 14.   Elective subject 7       IV 15.   Elective subject 8       IV 16.   Elective subject 9       IV 17.   Elective subject 10 (if choosing research orientation)       IV 18.   Elective subject 11(if choosing application orientation)       V III. Graduation Research orientation Application orientation   19. IT2022 Thesis in the direction of research 15 15 0 V 20. IT2023 Thesis in the direction of application 10 10 0 Total credits accumulated for the entire course ≥ 60                   Attention: The 1, 2 and 3 elective subjects… will be selected by the professional unit, based on the survey results of leaners each course. After the completion of the Basic Knowledge section, there will be introductory sessions, orientation and instruction for learners to choose the research orientation or application orientation. 5. GRADUATION CONDITION: To qualify for graduation, learners must meet the following requirements: - Research orientation: Credit must be accumulated at least 60 credits, of which: General knowledge: 7 credits. Basic knowledge: minimum 11 credits. Specialized knowledge: a minimum of 27 credits. Have at least one published scientific paper. Successfully defend graduation thesis 15 credits - Application Orientation: Credit must be accumulated at least 60 credits, of which: General knowledge: 7 credits. Basic knowledge: minimum 11 credits. Specialization knowledge: minimum 32 credits. Successfully defended graduation thesis with 10 credits - Satisfy English language requirements according to the current regulations of Vietnam National University – HCMC.  

1. INTRODUCTION 1.1 Academic training objectives: Doctorate training helps learners to master theory, high level of education, ability to work independently, creativity and ability to detect and solve problems in specialized training. The curriculum must ensure core knowledge for the Computer Science, and bring into play the strengths of the specialization of the University’s Computer Science, including: knowledge and machine learning; Natural language processing. Postgraduates have the background and depth of knowledge, have a solid methodology and are able to apply the modern achievements of the Computer Science to the practical needs of the society, have the ability to research and develop at a high level, as well as be able to play a leadership role in management and contribute positively to the advancement of science and technology. The curriculum provides learners with in-depth knowledge of the disciplines, specializations and scientific research methods so that they can independently study and develop their views and scientific theories, formulate scientific ideas, discover, explore and test new knowledge; Having the ability to work in research, teaching, consulting and policy making positions or other positions within the fields of major. The program also helps learners to improve their professional knowledge and skills; Having the ability to work independently and creatively; Be capable of designing products, applying research results, discovering and organizing complicated tasks in professional activities. 1.2 The viewpoints on building academic training programs The doctoral program in Computer Science is oriented towards research with the guidance of the scientific supervisor and the specialized unit in charge of management; To attach importance to training methods and habits of scientific research and development of creative thinking in detecting and solving professional problems. 1.3 Training duration: To comply with Article 3 of the Doctoral Training Regulation issued together with Decision No. 25 / QĐ-ĐHCNTT-ĐTSĐH dated April 15, 2014 of the President of the University of Information Technology. 2. CURRICULUM 2.1   Additional modules Additional modules are available for postgraduates who do not have a master's degree or have a master degree in the relevant field, which will help them to have sufficient knowledge and expertise to perform their duties. Postgraduate does not have a master's degree, but has to take supplementary courses in basic and specialized subjects in the current master program of Computer Science, not including philosophical subjects to complete the master's degree programs of Computer Science. Postgraduate holds a master's degree in Computer Science, then compares it with the existing MSc scoring board. Postgraduate must study the missing subjects of the general module and major module in curriculum of MSc of Computer Science. The list of additional subjects will be based on the current MSc program in Computer Science and the Doctoral Entrance Examination. 2.2   Doctorate modules, doctorate theses, general essay 2.2.1 Doctorate modules The purpose of the doctoral degree is to help postgraduates to update new knowledge in the field of specialization; improve the theoretical level, research methodology and ability to apply important and essential scientific research methods in the field of research. 2.2.2 Doctorate theses The Doctoral degree (PhD) requires postgraduates to update new knowledge, depth in majors, breadth of related fields and directly related to the subject of postgraduates, help to improve research capacity of graduates; help postgraduates solve some contents of thesis topic. Each postgraduate must complete 03 doctorate theses, each thesis including 2 credits. Postgraduates must register to conduct the research in accordance with their research direction with the approval of instructor and professional unit. 2.2.3 General essay Postgraduates must carry out an overview of the research about situation and issues related to the topic of the dissertation. The essay requires the postgraduates to demonstrate the ability to analyze and evaluate existing research works of authors at home and abroad which are intimately involved in thesis topics, addressing outstanding issues, pointing out the issues that the dissertation should focus on research. Postgraduate conducts, reports the essay after completion of the doctoral dissertation and needs to successfully defend the essay review before submitting the dissertation. 2.3   Scientific research and doctoral dissertation 2.3.1 Scientific research 1. Scientific research is a mandatory task of a postgraduate during the study of doctor dissertation implementation. Once a learner has a master's degree or a 24-month master's degree with a college-only graduate student, postgraduate compares it with the scientific development of his / her research orientation, update and supplement the research proposal at taking the doctorate entrance examination for protection at a review board for the outline of doctorate dissertation proposed by the professional unit and the President to consider and decide. 2. Depending on the characteristics of the research area, the professional unit has different requirements for evaluating the current state of knowledge, technological solutions related to the doctorate dissertation subject, investigative requirements, and experiments to supplement the data, required scientific reasoning and solution design, experiments from which postgraduate can reach new knowledge, new solution. These are important facilities for postgraduate to write doctorate dissertation. 3. The content and scale of scientific research must be consistent with the objectives of the doctorate dissertation. Depending on the characteristics of the dissertation research project, the University and the supervisor can create funding conditions, facilities and laboratories for postgraduate to complete necessary research. Postgraduate must ensure the truthfulness, accuracy and novelty of its scientific results, and comply with the provisions on intellectual property of Vietnam and international. 4. The time of scientific research is arranged during the time of doctorate training. If due to objective or subjective reasons, the research cannot be completed within the expected time, postgraduate can apply for extension of time study. Expenses for long-term training shall be covered by the postgraduate, or may be provided by the applicant for support if conditions permit. 5. The University and the professional units facilitate postgraduates to lead or participate in the implementation of scientific research topics at all levels presided over by the University and related to the field of doctorate dissertation topic of postgraduate. 2.3.2 Doctorate dissertation The doctoral dissertation must be a creative scientific research of the postgraduate themself, finding new results, not duplicating others' research, solving a whole scientific problem, being a unique scientific research, accurate, honest, innovative research that contributes theoretical contributions, contains new knowledge or solutions that are valuable in developing, increasing knowledge. the science of the field of research or creative solving of the problems posed to a science or social practice, to comply with intellectual property regulations of Vietnam and internationally. The doctoral dissertation does not exceed 200 A4 pages (excluding annexes), of which over 50% is the presentation of research results and arguments of postgraduate. The main contents and research results of the dissertation must be reported at specialized scientific conferences; published in at least two articles in journals, independent scientific conferences, reviewed by the State Council for grading, included in the list of scientific journals and scientific conferences which are suitable for major of doctoral training. Postgraduates must protect the dissertation before the specialized unit council and the University board as required. 3. ACADENMIC TRAINING PLANNED EXPECTATION All doctoral degree programs for master degree holders are 3 years of continuous study; for those who have graduated from university but do not have a suitable master's degree are 5 years of continuous study are required. Year Doctorate modules, doctorate theses, general essays Scientific research 01 Study at least 02 - 03 doctorate modules Report back to the outline Perform 01 - 02 doctorate theses Postgraduates undertake scientific research and post works throughout the academic training period. 02 · Continue to study 01 - 02 doctoral modules to ensure that they meet the required number of credits · Continue to carry out 01 - 02 doctoral dissertations to ensure 3 full PhDs Overview report 03 · Report at least two academic reports to prepare for the dissertation. · Complete a doctoral dissertation to protect doctoral dissertation at level of specialized units.

1. Introduction 1.1 Academic training objectives: Master's degree training helps learners to master theory, high level of practice, ability to work independently, creativity and ability to detect and solve problems in specialized training. Master's programs must ensure the core knowledge of the environment, and bring into play the strengths of the specialization of the school's environment sciences, including: knowledge technology and machine learning; Natural language processing; Computer vision Learners have the basic knowledge and deep knowledge, have a solid methodology and have the ability to apply the modern achievements of the computer sciences to the reality to meet the high demands of the society, able to study and develop at high levels, as well as to be possible to play a leadership role in managing and actively contributing to the advancement of science and technology. The training is conducted according to research oriented and application oriented, particularly: Research-oriented curriculum: to provide learners with in-depth knowledge of the discipline, specializations and methods of scientific research so that they can independently study and develop their views. science, initially able to form scientific ideas, discover, explore and test new knowledge; be capable of performing work in research, teaching, consulting and policy making positions or other positions in the branch or specialized field; be able to continue to participate in doctoral degree programs. Application-oriented training: to help learners improve their professional knowledge and skills in professional activities; Having the ability to work independently and creatively; be able to design products, apply research results, detect and organize complex tasks in professional activities, promote and effectively use specialized knowledge in the implementation specific tasks, suitable to practical conditions at economic agencies, organizations and units; be able to learn some additional basic knowledge and research methods as required by the doctoral degree to further participate in the doctoral degree program.  Basic knowledge and expertise is set at the center, creating conditions for learners to increase their motivation to study, to help students develop knowledge, improve professional capacity, ability research and application in practice. 1.2 Form and time of academic training: The form of training is 24 months (02 years) 1.3 Viewpoints for building academic training programs The Master of Science (MSc) degree program in Computer Science must be aimed at serving the objectives of training, providing in-depth knowledge of Computer Science, leading learners to study professional knowledge or can be proficient to serve the needs of the society. Basic knowledge and expertise is set at the center, enabling the trainees to increase their motivation to study, to help them develop knowledge, Research and application in practice. Learners in Computer Science are able to integrate into higher education and international studies. 1.4 Output standards The Master of Science (MSc) Program in Computer Science will provide learners with the basic knowledge and skills they need, as well as the international learning environment. The goal is to help learners after graduating be able to work in a high-tech environment, both in Vietnam and abroad. Learners will also be trained in scientific research methods, creativity, and ability to continue to study and research in advanced environments around the world. 1.4.1 Knowledge - The knowledge is concentrated in the areas of development of intelligent systems and knowledge base, image processing, natural language processing and human interaction, along with a number of related fields. These are fields that are currently worldwide interested in research and development. - For research orientation: Knowledge of Computer Science, along with the improvement of knowledge on scientific research methods so that learners can continue to study and study at higher level. - For application orientation: Graduates can apply the specialized knowledge of the KHMT to solve problems in reality, serving the increasing needs of human beings. 1.4.2 Skills - Besides mastering the practical skills, learners also have the skills to analyze, design, argue and experiment in a systematic and scientific way for large complex problems. - Self-study, research, creative skills to solve complex problems. 1.4.3 Qualities, attitudes - Strictly obey the law, comply with regulations in the profession in the field of information technology, especially respect copyright, intellectual property. - To actively work for the common interests of the community, for the cause of development of the information technology in Vietnam. - Self-study and self-improvement. 1.4.4 Capacity and position of employment - Be able to participate in development projects, exploitation and management of information systems, especially intelligent systems, problem solving systems of high complexity; be able to scientifically approach new issues in information technology; Ability to communicate professionally in English. - For research orientation : After graduation, the Master of Science in Computer Science has the capacity to self-study and organize research; be able to continue research at the doctoral level; be able to work in universities and research institutes, and be able to broaden their knowledge of other relevant fields in the IT industry through select courses. - For application orientation: Having the capacity to apply the results of the Computer Science to the real economy towards the knowledge economy as well as being able to play a leading role in developing and contributing positively to the development. of science and technology. 2. CURRICULUM 2.1 Knowledge blocks Knowledge blocks Number of credits Note Research Orientation Application Orientation General Knowledge Philosophy 3 3   Mathematics 4 4   English     According to the learning outcomes standards Core Knowledge Compulsory 8 8   Scientific research methodology 2   Research Orientation Select following specialty ≥ 12 ≥ 12   Free choice ≥ 16 ≥ 23   Graduation thesis 15 10   Total ³ 60 ³ 60 Learners can accumulate more than 60 credits 2.2 ACADENMIC TRAINING PLANNED EXPECTATION   Subject code Subject name Note Module 1 (4 months) PH2001 Philosophy   MA2001 Mathematics for computers CS2101 Knowledge and application technology CS2102 Algorithms and problem solving methods Module 2 (4 months)   Narrow options subjects Learners choose to study ≥ 12 credits   02 free electives   Module 3 (04 months)   04 free electives - Learners choose the modules to ensure complete the sufficient credits under the program. - Learners choose the research orientation, prepare thesis and submit after this module is finished 2.3 Research Orientation   Subject code Subject name Note Thesis Implementation Stage (15 credits) CS2205 Scientific research methodology   CS2501 Graduation thesis (15 credits) - Learners carry out the graduation thesis. - Publishing scientific articles 2.4 Application Orientation   Subject code Subject name Note Module 3 (04 months)   04 free electives - Learners choose the modules to ensure complete the sufficient credits under the program. - Learners choose the research orientation, submit the thesis after this module is finished Thesis Implementation Stage (10 credits) CS2503 Graduation thesis (10 credits) - Learners carry out the graduation thesis.