Make an enquiry
Master’s degree

Master of Mathematics

Universiti Tunku Abdul Rahman (UTAR)
DurationFull Time: Min 1 year - Max 4 years; Part Time: Min 2 years - Max 6 years
Study ModeFull-time/Part-time
LocationSelangor
IntakesFebruary, June, October
CampusSungai Long Campus
Local tuition feesContact institution
International tuition feesContact institution
Programme StructureConventional with Blended Learning (physical and online classrooms)

About the programme

The Master of Mathematics encompasses the study of applied mathematics, statistic and financial modelling to solve mathematical and real life problems. the programme is designed to meet the rapid changing needs and challenges of the education, manufacturing, banking, insurance, finance and investment-related industries.

Entry requirements

Academic Requirement

  1. A Bachelor's Degree in the field or related fields with CGPA of 2.50 and above or equivalent as approved by the Senate; or
  2. A Bachelor's Degree in the field or related fields with CGPA of 2.00 and above but less than CGPA of 2.50, or equivalent as approved by the Senate subject to rigorous internal assessment.
  3. Candidates without a Bachelor's degree in the related fields or relevant working experience must undergo appropriate prerequisite courses determined by UTAR and meet the minimum CGPA set out in (1) & (2).

Language Requirement

  • IELTS: 5.0 (CEFR Level B1)
  • TOEFL Essential (Online): 7.5 / TOEFL iBT Score: 40
  • PTE Academic / PTE Academic (Online): 47
  • MUET Band 3.5

What you’ll study

PROGRAMME STRUCTURE

  • STOCHASTIC MODELLING - 3 Credit
  • STATISTICAL INFERENCE - 3 Credit
  • RESEARCH METHODS IN MATHEMATICAL SCIENCES - 3 Credit
  • LINEAR MODELS - 3 Credit
  • MODERN NUMERICAL METHODS - 3 Credit
  • DATA VISUALISATION TECHNIQUES - 3 Credit
  • ADVANCED MATRIX ALGEBRA - 3 Credit
  • PROJECT - 10 Credit
  • ELECTIVES - 9 Credit

ELECTIVE* - CHOOSE 3 COURSE(S)

  • PREDICTIVE MODELLING
  • PROGRAMMING FOR DATA ANALYTICS
  • DESIGN OF EXPERIMENTS AND QUALITY ENGINEERING
  • SAMPLING TECHNIQUES
  • APPLIED STOCHASTIC PROCESSES
  • GENERALIZED LINEAR MODELS
  • APPLIED MULTIVARIATE ANALYSIS

*Course offering is subject to availability

Note: The following course is applicable for APEL C

  1. DATA VISUALISATION TECHNIQUES

Career pathways

Contact the institution for current information.

Programme information is supplied through StudyMalaysia. Confirm current fees, intake dates, requirements and availability directly with the institution.