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Master of Engineering in
Computer Science
Computer Science
Program Description
This program aims to provide the essential skills to develop human resources in the current trends of research and development of computer science fields that emphasize the need of using Artificial Intelligence (AI) applications and Information Security. The program is delivered over two academic years and covers a wide range of topics in the study of AI and data security. These may include, but not limited to, machine learning, deep learning, computer vision, natural language processing, blockchain technology, information security and application design, smartcard information system to name but a few.
Why this Program?
- Upgrading your skills and experiences in the fields to meet the future demand in the age of digitalization and Industry 4.0
- Contribution in the research for the country and humanity
- Scholarship Opportunities (Internship and PhD abroad)
Who should apply?
Are you...
- A critical thinker who enjoys working with intelligent system?
- An individual who enjoys solving challenging problems?
- Having strong curiosity in the research of AI and Information Security?
- Holding a bachelor’s degree and want to upgrade your skill to the next level?
Then this program is for you.
Program Pathways
Course-Research Pathway: this pathway is for students who are interested in pursuing career in professional job and academic job as researchers. The students in this pathway will only do the thesis only.
Research-based Pathway: this pathway is for students are interested in pursuing career only in the academic area as researchers. The students in this pathway will be required to produce publication and do the thesis.
Program Curriculum
Both Course-Research and Research-based pathway has total of 54 credits for graduation. However, each pathway has different curriculum organizations as described below
Course-Research Pathway
| Coursework | 42 Credits |
|---|---|
|
Core Course |
11 Credits |
|
Specialized Course |
18 Credits |
|
Elective Course |
7 Credits |
|
Research Course |
6 Credits |
| Research Activities | 12 credits |
|---|---|
|
Thesis |
12 credits |
Research-based Pathway
| Coursework | 12 credits |
|---|---|
|
Specialized Course |
6 credits |
|
Research Course |
6 credits |
| Research Activities | 42 credits |
|---|---|
|
Primary Research Proposal and Defense |
9 credits |
|
Details Research Proposal and Defense |
3 credits |
|
Seminar |
3 credits |
|
Presentation in Scientific Conference |
3 credits |
|
Journal Publication |
6 credits |
|
Thesis |
18 credits |
List of Courses
Core Course
Advanced Algorithms and Data Structures
Object-Oriented Programming
Mathematics for Machine Learning
Probability and Mathematical Statistics
Discrete Mathematics
Artificial Intelligence
Specialized Course
Neural Network and Deep Learning
Machine Learning
Computer Vision
Natural Language Processing
Data Mining
Information Security
Elective Course
IT Project Management
Entrepreneurship
Database Design and Administration
Software Engineering
Functional Testing and Quality Assessment
Human-Computer Interaction
Privacy and Data Protection
Credits
2
2
1.5
3
5
2
4
3
3
3
2.5
2
2
2
2
2.5
1.5
2
2
Study Program
- Course Research Pathway
| Year 1 | |||
|---|---|---|---|
|
Semester 1 |
Semester 2 |
||
|
Course/Activity |
Credit |
Course/Activity |
Credit |
|
Advanced Algorithms and Data Structures |
2 |
Discrete Mathematics |
1.5 |
|
Object-Oriented Programming |
2 |
Computer Vision |
3 |
|
Mathematics for Machine Learning |
1.5 |
Natural Language Processing |
3 |
|
Probability and Mathematical Statistics |
3 |
Data Mining |
2.5 |
|
Artificial Intelligence |
2 |
Information Security |
2 |
|
Research Methodology |
2 |
Elective Course 1 |
Min. 2 |
|
Machine Learning |
3 |
Internship |
3 |
|
Total |
15.5 |
Total |
17 |
| Year 2 | |||
|---|---|---|---|
|
Semester 1 |
Semester 2 |
||
|
Course/Activity |
Credit |
Course/Activity |
Credit |
|
Scientific Communication |
2 |
Master Thesis and Defense |
12 |
|
Project Management for Researcher |
2 |
|
|
|
Neural Network and Deep Learning |
4 |
|
|
|
Elective Course 2 |
Min. 2 |
|
|
|
Total |
10 |
Total |
12 |
- Research-based Pathway
| Year 1 | |||
|---|---|---|---|
|
Semester 1 |
Semester 2 |
||
|
Course/Activity |
Credit |
Course/Activity |
Credit |
|
Specialized Courses |
Min. 7 |
Primary Research Proposal and Defense |
9 |
|
Research Methodology |
2 |
|
|
|
Graduate Seminar 1 |
1 |
|
|
|
Total |
10 |
Total |
9 |
| Year 2 | |||
|---|---|---|---|
|
Semester 1 |
Semester 2 |
||
|
Course/Activity |
Credit |
Course/Activity |
Credit |
|
Scientific Communication |
2 |
Presentation in Scientific Conference |
9 |
|
Project Management for Researcher |
2 |
Journal Publication |
6 |
|
Detailed Research Proposal and Defense |
3 |
Master Thesis and Defense |
18 |
|
Graduate Seminar 2 |
1 |
|
|
|
Graduate Seminar 3 |
1 |
|
|
|
Total |
9 |
Total |
27 |
Research Areas
| Artificial Intelligence | |
|---|---|
|
|
|
|
|
|
| Information Security | |
|---|---|
|
|
|
|
|
|
|
|
Career Opportunities
The graduates may pursue their career paths in both academics and professionals:
- Machine Learning/ Data Science/AI Researcher
- NLP/Computer Vision Researcher
- Machine Learning/AI Engineer
- Data Scientist
- Data Analyst
- Software Engineer in Information Security and Decentralized System
- Information Security Researcher
Lecturers
Dr. VALY Dona
- Researcher at Research Innovation Centre, ITC
- Lecturer at Department of Information and Communication Engineering, ITC
- Head of Computer Vision and Natural Language Processing Laboratory, ITC
Research Focus: Machine learning, Deep Learning, Natural Language Processing, Computer Vision
Dr. KONG Phutphalla
- Lecturer at Department of Information and Communication Engineering, ITC
Researcher at Cambodia Academy of Digital Technology
Research Focus: Machine learning, Deep Learning, Computer Vision
Admission
Application is opened started from June until September.
An applicant must have the following qualifications:
v Baccalaureate or Equivalent Diploma
v Engineer’s Degree or bachelor’s degree in computer science, Information Technology, or related fields
v Certificate of English Proficiency
v Minimum GPA of 2.5 on 4.0 Scale
Download application form at: https://bit.ly/itcmaster2022-23
Tutition Fee
According to the official announcement of the Graduate School of ITC for academic 2022-2023, the tuition fee is 1200USD per year or 650 USD per semester.
More Information
Graduate School of ITC:
- Office: B-110, ITC
- www.facebook.com/itcgraduate
- https://t.me/itc_graduate_school
- graduate@itc.edu.kh
Coordinator of the program:
- Mr. Heng Rathpisey
- rathpisey@itc.edu.kh
