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KLI

Master's Data Malaysia

Master of Science in Data Science

at Kuala Lumpur International University · Kuala Lumpur

Duration
18 months
Tuition / year
RM 38,000
Intakes
January, March, May, July, September, October
Study mode
Full-time

01 Overview

About this course

A postgraduate data science degree combining coursework in analytics and machine learning with an industry-based research project.

The programme is delivered at Kuala Lumpur International University in Kuala Lumpur and is taught in English. Assessment combines coursework, group projects and examinations, with a substantial individual project or dissertation in the final stage. Students are supported by academic staff throughout, and the careers team advises on placements, internships and graduate applications.

02 Curriculum

What you study

  1. 01 Statistics for Data Science
  2. 02 Data Wrangling and Visualisation
  3. 03 Machine Learning
  4. 04 Database and Data Warehousing
  5. 05 Predictive Analytics
  6. 06 Data Ethics and Governance
  7. 07 Dissertation or Consultancy Project

03 Admissions

Entry requirements

A recognised bachelor's degree in a related subject, normally with a minimum grade average. Applicants from a different academic background may be considered where relevant professional experience is evidenced.

Institution-specific requirements: Foundation entry requires completed secondary education. Bachelor's entry requires a pre-university qualification meeting the stated grades, or completion of a recognised foundation or diploma. Master's entry requires a relevant bachelor's degree with the stated minimum CGPA.

English language

IELTS 5.5–6.0 or TOEFL iBT 60–80 depending on level. Applicants who completed prior study in English may be exempt, and an internal placement test is available.

04 Costs

Fees and intakes

Tuition per year
RM 38,000
MYR
Course length
18 months
Full-time

Indicative fee per academic year. Confirmed in your offer letter.

05 Afterwards

Where this leads

Graduates typically move into data analysis, business intelligence, machine learning engineering, analytics consultancy, and research roles across finance, health and technology. Graduates also progress into doctoral research or senior specialist roles.

Career outcomes depend on individual performance, work rights in the country of study, and labour market conditions at the time of graduation. We help students plan realistically rather than assume a specific outcome.

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