Institute of Postgraduate Studies & Research
   
Master of Mathematics 

(R2/461/7/0004)04/23 (A8216)

Sungai Long Campus


Programme Details


The Master of Mathematics encompassess 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. The programme had 4 specialization Algebra, Combinatorics, Statistics, Financial Mathematics
IntakeJan and May 
Duration Full Time  : Min 1.5 years - Max 4 years
Part Time : Min 2 years - Max 6 years
Indicative Fees Local: RM 18,150.00
International : RM 26,590.00

Entry Requirement 

Academic Requirement

(1) a Bachelor's Degree with Honours and CGPA of 2.75 and above or a Bachelor’s Degree with CGPA of 2.75 and above in a related field from UTAR; or

(2) a Bachelor's Degree with Honours and CGPA of 2.50 and above but less than 2.75 or a Bachelor’s Degree with CGPA of 2.50 and above but less than 2.75 in a related field from UTAR and subjected to rigorous internal assessment; or

(3) a Bachelor's Degree with Honours and CGPA of 2.00 and above but less than 2.50 or a Bachelor’s Degree with CGPA of 2.00 and above but less than 2.50 in a related field from UTAR, show evidence of at least five (5) years of relevant working experience and subjected to rigorous internal assessment; or

(4) any other academic qualifications equivalent to (1), (2) or (3) from another recognised University as approved by the Senate

Language Requirement
- IELTS : 5.0  (CEFR  Level B1) 
- TOEFL : 410-413/ TOEFL iBT Score  42 - 45
- Cambridge English Qualification and Tests :154 - 159 (High B1 level in CEFR)
- Pearson Test of English (PTE) :  47 - 50 
- MUET Band 3   

 Programme Structure 

  • STATISTICAL INTERFERENCE - 3 Credit
  • ELEMENTARY STOCHASTIC MODELLING - 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
Note: The following course is applicable for APEL C
1.DATA VISUALISATION TECHNIQUES

Know more on APEL C APEL C Centre
  • ELECTIVE - CHOOSE 3 COURSE(S)
  • PREDICTIVE MODELLING
  • PROGRAMMING FOR DATA  ANALYTICS
  • DESIGN OF EXPERIMENTS AND QUALITY ENGINEERING
  • SAMPLING TECHNIQUES
  • INTERMEDIATE STOCHASTIC MODELLING
  • GENERALIZED LINEAR MODELS
  • APPLIED MULTIVARIATE ANALYSIS

Head of Programme

Dr. Wong Wai Kuan

Contact HoP

Application

Submit the completed application form, the non-refundable processing fee with all supporting documents to IPSR Office