Data Science

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Program Description

The Master of Engineering of Data Science (M-DAS) degree program uses real-world problems and situations to prepare graduates for roles as strategic thought leaders who leverage predictive modeling to drive decision making. Students will develop in depth understanding of the key technologies in data science and business analytics: data mining, machine learning, visualization techniques, predictive modeling, and statistics.  Students will practice problem analysis and decision-making. Students will gain practical, hands-on experience with statistics programming languages and big data tools through coursework and applied research experiences.

Program Info

Degree: Master of Engineering, M. Eng.

Program Length: 1 to 2 Academic Years

Established: 2022

Language: English

Why This Program?

Upgrading your skills and expertise in data literacy to respond to the demand in the age of data era and digital transformation
Contributions and applications to real-life problem scenario
Scholarship and internship opportunities

Who Should Apply?

Are you…

Passionate about data?
A listener and thinker who would love to understand and solve business problem?
Having technical skills for coding and analyzing data?
Holding a bachelor’s degree in related fields of science, engineering, business related fields who want to upgrade their data literacy skills?

Then this program is for you.

M-DAS Curriculum and Program Pathways

Research Area in M-DAS

Applications of Data Science in

Health Care
Finance and Banking
Educational Data Mining
Remote Sensing
Computer Vision
Logistic and Supply Chain
Agriculture
Data Science for Sustainable Development Goals (SDGs)

Our Lecturers

Asst. Prof. Dr. PHAUK Sokkhey

Lecturer of Department of Applied Mathematics and Statistics (AMS), ITC

Coordinator of Master Program of Data Science, ITC

Research focus: Machine learning, Data Analytics, Educational Data Mining (AI for Education), Data Science for Sustainable Development Goals (SDGs), and Predictive Modelling

Email: phauk.sokkhey@itc.edu.kh

Asst. Prof. Dr. SIM Tepmony

Director of Graduate School, ITC

Research focus: Applied Mathematics, Statistics, Economics, and Machine Learning

Email: tepmony.sim@itc.edu.kh

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

Dr. HAS Sothea

Lecturer of Department of Applied Mathematics and Statistics (AMS), ITC

Research focus: Applied Mathematics, Statistical Learning, Machine learning, Deep Learning, and Atmosphere Science

Email: hassothea.math@gmail.com

Dr. NEANG Pheak

Lecturer of Department of Applied Mathematics and Statistics (AMS), ITC

Research focus: Applied Mathematics, Statistics, Data Science, Machine Learning, Graph Theory

Email: neang.pheak@itc.edu.kh

Mr. OL Say

Lecturer at Department of Applied Mathematics and Statistics (AMS), ITC

Research focus: Applied Mathematics, Cryptography, Data Analytics, Programming and Web Development

Email: ol.say@itc.edu.kh

Mr. NHIM Malai

Lecturer at Department of Applied Mathematics and Statistics (AMS), ITC

Research Interest: Biostatistics, Data Analytics, Statistics, Data Science, Machine Learning

Email: nhim.malai@itc.edu.kh

Dr. MUTH Boravy

Lecturer at Department of Applied Mathematics and Statistics (AMS), 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. YOU Vanndy

Lecturer at Department of Information and Communication Engineering, ITC

Research Area: Cloud Computing

Email: you.vanndy@itc.edu.kh

Mr. Sophal

Lecturer at Department of Applied Mathematics and Statistics (AMS), ITC

Data Science and AI coach at SabaiCode

Data Science Consultant at ACLEDA

Research focus: Machine learning, Deep Learning, Computer Vision, Data Mining, and Artificial Intelligent

Email: chan.sophal@itc.edu.kh

Mr. TENG Chanto

Visiting lecturer at Department of Applied Mathematics and Statistics (AMS), ITC

Data Science Researcher and lecturer at CADT

Research focus: Machine learning, Deep Learning, Data Mining, and Artificial Intelligent

Email: tengtito@gmail.com

Mrs. THONG Laksmey

Visiting lecturer at Department of Applied Mathematics and Statistics (AMS), ITC

Project Manager at VSTECS Cambodia

Research focus: Machine learning, Deep Learning, Data Science, Logistics and Supply Chain Management, and Business Management

Email: laksmeythong1995@gmail.com

Career Opportunities

The graduates may pursue their career paths in both academics and professionals:

Data Scientist
Data Analyst
Machine Learning/AI Engineer
Data Architect
Data Engineer
Business Analyst
Data & Analysis Manager
Statistician

Others

M-DAS Brochure

M-DAS_Roadshow(12 August-2024).pdf

M-DAS Orientation Slides

Admission Info

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.

DEPARTMENT ADDRESS

Department of Applied Mathematics and Statistics,
Room F-103, Building F, Institute of Technology of Cambodia, Russian Federation Boulevard, Phnom Penh, Cambodia

GRADUATE SCHOOL

Graduate School of ITC,
Room B-105, Building B, Institute of Technology of Cambodia, Russian Federation Boulevard, Phnom Penh, Cambodia
Email: graduate@itc.edu.kh

CONTACTS

Coordinator of M-DAS Program:

Asst. Prof. Dr. Sokkhey PHAUK

Email: phauk.sokkhey@itc.edu.kh

Telephone: (+855) 12 93 93 10

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