MASTER PROGRAM
MAJOR: INFORMATION TECHNOLOGY
SPECIALIZATION: INFORMATION TECHNOLOGY
CODE: 8480201
(1) Overview
Master in Information Technology will provide students with insight knowledge and skills in Computer Science and their up-to-date applications to facilitate our works and comfort our lives. After completing this graduate curriculum, learners are able to become successful managers in organizations and enterprises in IT, capable staffs of research and teaching at institutes, universities and colleges specializing in IT. This program meets the higher education needs from graduated students in IT in general and other specific domains such as Computer Vision, AI and Data science.
(2) Program Objectives
Master in Information Technology graduates will be equipped with advanced knowledge in professional expertise, the ability to design, implement, deploy and manage modern IT systems. Attendees are also provided with the necessary skills to apply into IT applications. Additionally, through the curriculum, we offer graduates opportunities to access new sources of knowledge of the world to develop their self-study and research abilities to prepare a solid foundation for PhD course.
Once finished the program, graduates would be dynamic, creative, adaptable to modern working environments and enhance their employment prospects in the increasingly competitive regional labor markets, thereby making valuable contribution to national economic and social development, national defense, and international integration.
(3) Major contents
The master's degree program in Information Technology consists of 60 credits (TC) listed in the following table:
|
No |
Code |
Course name |
Credit |
|||||
|
Text |
Number |
Total |
LT |
TH/ TN/TL/ BTL/TiL |
||||
|
I. General knowledge section |
6 |
4 |
2 |
|||||
|
1 |
TH |
501 |
Philosophy |
3 |
2 |
1 |
||
|
2 |
TA |
502 |
English |
3 |
2 |
1 |
||
|
II. Basic knowledge section |
8 |
4 |
4 |
|||||
|
2.1. Compulsory courses (2 modules) |
4 |
2 |
2 |
|||||
|
3 |
ITKH |
503 |
Scientific Research Methods |
2 |
1 |
1 |
||
|
4 |
ITMA |
504 |
Advanced Software Analysis And Design |
2 |
1 |
1 |
||
|
2.2. Elective modules: choose 4 credits (02 modules) out of 10 credits |
4 |
2 |
2 |
|||||
|
5 |
ITGD |
505 |
University teaching methods |
2 |
1 |
1 |
||
|
6 |
ITQL |
506 |
Management in Science |
2 |
1 |
1 |
||
|
7 |
ITPP |
507 |
Programming Language Principles |
2 |
1 |
1 |
||
|
8 |
ITCA |
508 |
Advanced Computer Architecture |
2 |
1 |
1 |
||
|
9 |
ITAD |
509 |
Analysis and design of algorithms |
2 |
1 |
1 |
||
|
III. Specialized knowledge section |
30 |
15 |
15 |
|||||
|
3.1. Compulsory courses (07 modules) |
14 |
7 |
7 |
|||||
|
10 |
ITAI |
510 |
Advanced Artificial Intelligence |
2 |
1 |
1 |
||
|
11 |
IPNLP |
533 |
Natural language processing |
2 |
1 |
1 |
||
|
12 |
ITBD |
534 |
Big data analytics |
2 |
1 |
1 |
||
|
13 |
ITKB |
513 |
Advanced Knowledge based systems |
2 |
1 |
1 |
||
|
14 |
ITPM |
514 |
Information Project Management |
2 |
1 |
1 |
||
|
15 |
ITIS |
515 |
Information Security |
2 |
1 |
1 |
||
|
16 |
ITCV |
516 |
Computer Vision |
2 |
1 |
1 |
||
|
3.2. Elective modules: choose 16 credits (08 modules) out of 34 credits |
16 |
8 |
8 |
|||||
|
17 |
ITPP |
517 |
Parallel programming |
2 |
1 |
1 |
||
|
18 |
ITSA |
518 |
Advanced software architecture |
2 |
1 |
1 |
||
|
19 |
ITSW |
519 |
Semantic network |
2 |
1 |
1 |
||
|
20 |
ITDT |
520 |
Metadata |
2 |
1 |
1 |
||
|
21 |
ITDM |
521 |
Data mining |
2 |
1 |
1 |
||
|
22 |
ITES |
522 |
Expert system |
2 |
1 |
1 |
||
|
23 |
ITFL |
523 |
Fuzzy logic and applications |
2 |
1 |
1 |
||
|
24 |
ITDL |
524 |
Deep learning |
2 |
1 |
1 |
||
|
25 |
ITML |
525 |
Machine Learning |
2 |
1 |
1 |
||
|
26 |
ITTQ |
526 |
Testing and software quality assurance |
2 |
1 |
1 |
||
|
27 |
ITCC |
527 |
Introduction to Cloud Computing |
2 |
1 |
1 |
||
|
28 |
ITDS |
528 |
Distributed system development principles and models |
2 |
1 |
1 |
||
|
29 |
ITHC |
529 |
Human - Computer Interaction |
2 |
1 |
1 |
||
|
30 |
ITSP |
530 |
Digital signal processing |
2 |
1 |
1 |
||
|
31 |
ITBT |
531 |
Introduction to Blockchain Technology |
2 |
1 |
1 |
||
|
32 |
ITOS |
532 |
Open-source systems |
2 |
1 |
1 |
||
|
33 |
ITCN |
511 |
Advanced computer network |
2 |
1 |
1 |
||
|
IV |
Internship |
7 |
|
|
||||
|
|
TTTN |
|
Graduation internship |
7 |
|
|
||
|
V |
Graduation thesis |
9 |
|
|
||||
|
|
ĐATN |
|
Graduation thesis |
9 |
|
|
||
|
Thesis |
60 |
|
|
|||||
(4) Career prospects
Master of Information Technology graduates can enter roles as developers, leaders and managers in IT agencies in charge of IT such as: Software Companies, IT Solution providers, IT Incorporations, etc., as well as in departments related to Software development, AI research and development, Data analysis companies, IoTs companies, etc.; lecturers, researchers in universities, colleges, research institutes related to the field of Information Technology.
(5) Duration: 2 years (4 semesters)
(6) Total Credits: 60