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Master of Data Science (Coursework)

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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.

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 students registering).

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

University of Malaya has two intakes per year, in February and in September.
- This program is a full-time mode, with classes held from 6-9 pm on weekdays only.

Coordinator Programme
Assoc. Prof. Dr. Vimala Balakrishnan
vimala.balakrishnan@um.edu.my
(603) 7967 6377

Fees

Fee Structure for Citizen
Fee Structure for Non-Citizen

Last Updated: 31/01/2020