Faculty of Computer Science & Information Technology

The Master of Data Science programme provides opportunities for degree holders in both science and non-science streams to learn the foundations in the science of big data and to offer them skills in this emerging discipline.

Please refer to our FAQ for further details.

Benefits

This programme allows students who wish to strengthen their career prospects in data science to acquire in-depth knowledge and skills to analyse, visualize and transform vast quantities of data in differents fields into valuable insights.

Career Opportunity

Data Scientist
Big Data Analyst
Machine Learning Engineer
Webometrician
Mining Analyst
Data Modeler
Data Architect/Engineer
Qualitative Analyst

Course Structure

COURSES MODULE (42 Credit Hours)
CORE COURSES (24 Credits) + ELECTIVE COURSES (8 Credits) + DATA SCIENCE RESEARCH PROJECT (10 Credits)

CORE COURSES (24 Credits)

Core Courses

Research Methodology

Principles of Data Science

Data Analytics

Programming for Data Science

Data Mining

Machine Learning for Data Science

Big Data Management

ELECTIVE COURSES (8 Credit Hours)
Please select two (2) subject elective only:

Elective Courses

Parallel and Distributed Computing

Big Data Applications & Analytics

Network and Security

Numerical Optimization

DATA SCIENCE RESEARCH PROJECT (10 Credit Hours)

(Note: Not all courses will be offered every semester; the actual courses offered will depend on the availability of staff and the number of registered students).

Entry Requirement

For admission into the Master of Data Science programme, applicants must have at least:

A Bachelor’s degree with Honours in Science stream with a minimum CGPA of 3.0 or equivalent; or
A Bachelor’s degree with Honours in non-Science stream with a minimum CGPA of 3.0 or equivalent with work experience in related fields for at least three (3) years; or
Other qualifications approved by the University Senate.

International applicants are required to have:

At least IELTS Band 6 (Academic) or TOEFL score of 550 (paper based) / 213 (computer based) / 80 (Internet based) if their first degree is from a university where English is not the medium of instruction.

Intake Schedule

Universiti Malaya has two intakes per year, in March and in October.
- This programme is a full-time mode, with classes held from 6-9 pm on weekdays only.

Programme Coordinator
Associate Professor Dr. Kasturi Dewi Varathan
kasturi@um.edu.my
(603) 7967 2512

Fees

Local
International

Master of Data Science (Coursework)