Degree: Master of Engineering, M. Eng.
Program Length: 1 to 2 Academic Years
Established: 2013
Number of Alumni: 26 (F=4)
Language: English
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/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 problem?
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 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.
Program Pathways
This program has 2 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 Pathways
Coursework: 42 credits
- Core Course: 11 credits
- Specialized Course: 18 credits
- Elective Courses: 7 credits
- Research-Courses: 6 credits
Research-Activities: 12 credits
- Thesis 12 credits
Research-based Pathways
Coursework: 12 credits
- Specialized Course: 6 credits
- Research-Courses: 6 credits
Research-Activities: 12 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 Courses:
Advanced Algorithms and Data Structures 2 credits
Object-Oriented Programming 2 credits
Mathematics for Machine Learning 1.5 credits
Probability and Mathematical Statistics 3 credits
Discrete Mathematics 1.5 credits
Artificial Intelligence 2 credits
Specialized Course:
Neural Network and Deep Learning 4 credits
Machine Learning 3 credits
Computer Vision 3 credits
Natural Language Processing 3 credits
Data Mining 2.5 credits
Information Security 2 credits
Elective Courses:
IT Project Management 2 credits
Entrepreneurship 2 credits
Database Design and Administration 2 credits
Software Engineering 2.5 credits
Functional Testing and Quality Assessment 1.5 credits
Human-Computer Interaction 2 credits
Privacy and Data Protection 2 credits
Study Program
Research Areas at M-ECS
Artificial Intelligence
- Applied Machine Learning and Deep Learning
- Computer Vision and Computer Graphics
- Natural Language Processing
Information Security
- Information Security and Application Design
- Blockchain and Smart Card Information System
- Medical Information System
- Decentralized Identity System
Research Labs
Lab of Computer Vision and Natural Language Processing
- Khmer Ancient Script/Hand Written text recognition
- Air-written text recognition for Khmer characters
- Smart door using Computer Vision + DL
- Face mask detection
- Crop growth prediction
- Crop disease detection
Lab of Information Security and Application Design
- Blood bank information system
- Smart ID card system
Lecturers
Asst. Prof. 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
Email: dona@itc.edu.kh
Asst. Prof. Dr. KONG Phutphalla
Researcher at Research Innovation Centre, ITC
Part-time Researcher at Cambodia Academy of Digital Technology
Lecturer at Department of Information and Communication Engineering, ITC
Research focus: Machine learning, Deep Learning, Computer Vision, Computer Graphics
Email: phutphalla@itc.edu.kh
Asst. Prof. Dr. TITH Dara
Part-time Researcher and Lecturer at Department of Information and Communication Engineering, ITC
Lead Researcher at Information Security and System Design Laboratory, ITC
Research focus: Information Security and Application Design, Blockchain and Smart Card Information System, Medical Information System, Decentralized Identity System
Email: tith.dara@itc.edu.kh
Asst. Prof. Dr. PHAUK Sokkhey
Head of master program Data Science
Lecturer and researcher at Department of Foundation Year, Institute of Technology of Cambodia
Research interest: Applied Mathematics and Statistics, Data Mining, Machine Learning, Artificial Neural Network, Data Analysis, Predictive Modeling, Statistical Learning, Dimensional Reduction, and Educational Data Mining
Email: phauk.sokkhey@itc.edu.kh
Dr. MUTH Boravy
Mathematics Teacher for foundation year at Institute of Technology of Cambodia, ITC
Research interest: Particle Transport Theory and Code Development, SMR: Small Modular Reactor Design and Analysis, Material Science: Shielding Material
Email: muthboravy007@gmail.com
Mr. HENG Rathpisey
Coordinator of the master program of Computer Science
Lecturer at Department of Information and Communication Engineering, ITC
Research interest: Machine learning, Deep Learning, Natural Language Processing
Email: rathpisey@itc.edu.kh
Ms. TANN Chantara
Lecturer at Institute of Technology of Cambodia
Research interest: Partial Differential Equation (PDE numerical solver), Image Processing
Email: tannchantara23@gmail.com
Mr. CHAN Sophal
Lecturer & Researcher at Department of Foundation Year, ITC
Research interest: data analyst, data mining, data science, deep learning, AI, machine learning
Email: sophalcamchan38@gmail.com
Mr. PEN Chentra
Lecturer at Institute of Technology of Cambodia, ITC
Email: pen.chentra@itc.edu.kh
Mr. PHOK Ponna
Lecturer of Mathematics, Institute of Technology of Cambodia (ITC)
Email: ponnaphok@gmail.com
Mr. TAL Tong Sreng
Lecturer at Department of Information and Communication Engineering, ITC
Email: tongsreng@itc.edu.kh
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
Admission
Application is opened started from May until September.
An applicant must have following qualifications:
Baccalaureate or Equivalent Diploma
Engineer’s Degree or bachelor’s degree in computer science, Information Technology or related fields
Certificate of English Proficiency
Minimum GPA of 2.5 on 4.0 Scale
Tuition Fee
According to the Announcement of Graduate School of ITC 2024, the tuition fee is 1200 USD per year or 650 USD per semester.
More Information
Graduate School:
Office: B-105, ITC, Phnom Penh
Telegram: https://t.me/itc_graduate_school
Email: graduate@itc.edu.kh
Facebook: www.facebook.com/itcgraduate
Coordinator of M-ECS Program:
Mr. HENG Rathpisey
Email: rathpisey@itc.edu.kh
Telephone: (+855) 96 63 11 221
Others