Research
Programmes in Mathematical Sciences
Overview
UTAR's Master of Mathematical
Sciences programme aims to prepare candidates for careers at the fore front of
teaching, research and development in Mathematical Sciences, or for careers in
other professions in which they can apply their research training and knowledge.
The programme seeks to cultivate curiosity, powers of observation, depth of
critical thinking and intellectual development that mathematicians exploit to
make new discoveries as well as enhance their creativity and problem solving
skills. UTAR accomplishes these goals through the strengths of its academic
staff, its emphasis in research endeavours, suitable infrastructure and
facilities, and industry input into the content of its programme.
The coursework structure
emphasizes on acquiring wide knowledge in different areas in a chosen
specialization and a research-based project. Four specializations are offered,
namely, Algebra, Combinatorics, Statistics and Financial Mathematics. Each
specialization offered is subject to the availability of students and lecturers.
Course-work consists of ten courses of study and a six-credit project. Each
course of study is a three-credit unit. Each candidate must take and complete 3
basic major units, 5 core major units (excluding the project) and 2 elective
units for graduation.
Mode of Study
The coursework structure
emphasizes on acquiring wide knowledge in different areas in a chosen
specialization and a research-based project.
There are four specializations
offered under Structure C, namely, (i) Algebra (ii) Combinatorics (iii)
Statistics and (iv) Financial Mathematics*. Each candidate must take 10 units of
courses of three credits each and a six-credit Project to be carried out in 2
semesters, making a total of 36 credits to be taken for graduation.
Specifically, each candidate must take 3 basic major units, 5 core major units
(excluding the Project) and 2 elective units. The 3 basic major units are
Research Methods in Mathematical Sciences, Statistical Inference and Advanced
Linear Algebra.
For candidates specializing in
Algebra, the 5 non-Project core major units are Abstract Algebra, Combinatorial
Group Theory, Representation Theory, Number Theory and Commutative
Algebra.
For candidates specializing in
Combinatorics, the 5 non-Project core major units are Abstract Algebra, Advanced
Graph Theory, Chromaticity of Graphs, Fundamentals of Combinatorial Design and
Advanced Combinatorics.
For candidates specializing in
Statistics, the 5 non-Project core major units are Elementary Stochastic
Modelling, Design of Experiments and Quality Engineering, Sampling Techniques,
Multivariate Analysis and Linear Models.
For candidates specializing in
Financial Mathematics*, the 5 non-Project core major units are Mathematics for
Financial Applications, Mathematical Models in Finance, Applied Econometric
Analysis, Financial Risk Models and Analytical Portfolio Management.
The elective units available
are grouped under 5 categories, namely,
(i) Algebra, (ii)
Combinatorics, (iii) Statistics, (iv) Financial Mathematics* and (v) General and
Non-Discrete Mathematics. Each candidate may choose any 2 electives from the
given lists of elective units. The candidate must have the necessary background
and pre-requisite to take the elective chosen.
Currently, we are only
offering the specialization of Statistics due to the availability of students
and lecturers.
Duration
Full-time: Minimum 1.5 years; Maximum 4 years
Part-time: Minimum 2 years; Maximum 6 years
Medium of Instruction
The language of instruction and interaction is exclusively English.
Entry Requirements
(a) A Bachelor’s degree with Honours in
related areas from Universiti Tunku Abdul Rahman or any other university
recognised by the Senate; or
(b) An equivalent qualification
from an institution recognized as of comparable status by the Senate; or
(c) A degree or equivalent
with at least two (2) years working experience after obtaining that degree, or
equivalent.
‘two’ (2) years working experience’
means any working experience after obtaining that qualification which period
shall also include practical training and any industrial attachment.
English Requirement
SPM/O-Level English, minimum C4
Paper-based TOFEL, score > 580
Computer-based TOEFL, score >237
Internet-based Testing (IBT), score >92
International English Language Testing System (IELTS), score > 6.5
English 1119, Credit
MUET, band 4.0 or
American College Testing assessment (ACT), score > 22
Scholastic Assessment Test (SAT), score > 500
English Language Proficiency Test (ELPT), Score > 980
Programme
Structure
Course Structure for Master of Mathematical Sciences Structure C (January Intake) - Statistics
Full-time - Minimum Duration : 1.5 years
|
Unit Code
|
Unit Title
|
Unit Type
|
Jan
|
May
|
Oct
|
Jan
|
|
Y1T1
|
Y1T2
|
Y1T3
|
Y2T1
|
|
MEME15203
|
Statistical Inference
|
Basic
|
|
3
|
|
|
|
MEME15303
|
Advanced Matrix Algebra
|
Basic
|
|
3
|
|
|
|
MEMG10303
|
Research Methods in Mathematical
Sciences
|
Basic
|
3
|
|
|
|
|
MEME15803
|
Elementary Stochastic Modelling
|
Core
|
|
3
|
|
|
|
MEME15903
|
Design of Experiments and Quality
Engineering
|
Core
|
3
|
|
|
|
|
MEME16003
|
Sampling Techniques
|
Core
|
|
|
|
3
|
|
MEME16103
|
Multivariate Analysis
|
Core
|
|
|
|
3
|
|
MEME16203
|
Linear Models
|
Core
|
|
3
|
|
|
|
MEME1xx03
|
Elective
|
Elective
|
3
|
|
|
|
|
MEME1xx03
|
Elective
|
Elective
|
3
|
|
|
|
|
MEME15102
|
Project I
|
Project
|
|
|
2
|
|
|
MEME25104
|
Project II
|
Project
|
|
|
|
4
|
Total Credit: 36ELECTIVE
MEME16303 Advanced Probability Theory
MEME17803 Stochastic Analysis for Finance and Actuarial Science
MEME17603 Computer Intensive Methods for Stochastics Models in Finance
MEME17003 Applied Multivariate Analysis
Part-time - Minimum Duration : 2 years
|
Unit Code
|
Unit Title
|
Unit Type
|
Jan
|
May
|
Oct
|
Jan
|
May
|
Oct
|
|
Y1T1
|
Y1T2
|
Y1T3
|
Y2T1
|
Y2T2
|
Y2T3
|
|
MEME15203
|
Statistical Inference
|
Basic
|
|
3
|
|
|
|
|
|
MEME15303
|
Advanced Matrix Algebra
|
Basic
|
|
3
|
|
|
|
|
|
MEMG10303
|
Research Methods in Mathematical
Sciences
|
Basic
|
3
|
|
|
|
|
|
|
MEME15803
|
Elementary Stochastic Modelling
|
Core
|
|
|
|
|
3
|
|
|
MEME15903
|
Design of Experiments and Quality
Engineering
|
Core
|
3
|
|
|
|
|
|
|
MEME16003
|
Sampling Techniques
|
Core
|
|
|
|
|
3
|
|
|
MEME16103
|
Multivariate Analysis
|
Core
|
|
|
|
3
|
|
|
|
MEME16203
|
Linear Models
|
Core
|
|
|
|
|
3
|
|
|
MEME1xx03
|
Elective
|
Elective
|
|
3
|
|
|
|
|
|
MEME1xx03
|
Elective
|
Elective
|
|
|
|
3
|
|
|
|
MEME15102
|
Project I
|
Project
|
|
|
2
|
|
|
|
|
MEME25104
|
Project II
|
Project
|
|
|
|
|
|
4
|
Total Credit: 36ELECTIVE
MEME16303 Advanced Probability Theory
MEME17803 Stochastic Analysis for Finance and Actuarial Science
MEME17603 Computer Intensive Methods for Stochastics Models in Finance
MEME17003 Applied Multivariate Analysis
Course Structure for Master of Mathematical Sciences Structure C (May Intake) – Statistics
Full-time - Minimum Duration : 1.5 years
|
Unit Code
|
Unit Title
|
Unit Type
|
May
|
Oct
|
Jan
|
May
|
|
Y1T1
|
Y1T2
|
Y1T3
|
Y2T1
|
|
MEME15203
|
Statistical Inference
|
Basic
|
3
|
|
|
|
|
MEME15303
|
Advanced Matrix Algebra
|
Basic
|
3
|
|
|
|
|
MEMG10303
|
Research Methods in Mathematical
Sciences
|
Basic
|
3
|
|
|
|
|
MEME15803
|
Elementary Stochastic Modelling
|
Core
|
3
|
|
|
|
|
MEME15903
|
Design of Experiments and Quality
Engineering
|
Core
|
|
|
3
|
|
|
MEME16003
|
Sampling Techniques
|
Core
|
|
|
3
|
|
|
MEME16103
|
Multivariate Analysis
|
Core
|
|
|
3
|
|
|
MEME16203
|
Linear Models
|
Core
|
3
|
|
|
|
|
MEME1xx03
|
Elective
|
Elective
|
|
|
3
|
|
|
MEME1xx03
|
Elective
|
Elective
|
|
|
|
3
|
|
MEME15102
|
Project I
|
Project
|
|
2
|
|
|
|
MEME25104
|
Project II
|
Project
|
|
|
|
4
|
Total Credit: 36ELECTIVE
MEME16303 Advanced Probability Theory
MEME17803 Stochastic Analysis for Finance and Actuarial Science
MEME17603 Computer Intensive Methods for Stochastics Models in Finance
MEME17003 Applied Multivariate Analysis
Part-time - Minimum Duration : 2 years
|
Unit Code
|
Unit Title
|
Unit Type
|
May
|
Oct
|
Jan
|
May
|
Oct
|
Jan
|
|
Y1T1
|
Y1T2
|
Y1T3
|
Y1T1
|
Y1T2
|
Y1T3
|
|
MEME15203
|
Statistical Inference
|
Basic
|
3
|
|
|
|
|
|
|
MEME15303
|
Advanced Matrix Algebra
|
Basic
|
3
|
|
|
|
|
|
|
MEMG10303
|
Research Methods in Mathematical
Sciences
|
Basic
|
3
|
|
|
|
|
|
|
MEME15803
|
Elementary Stochastic Modelling
|
Core
|
|
|
|
3
|
|
|
|
MEME15903
|
Design of Experiments and Quality
Engineering
|
Core
|
|
|
3
|
|
|
|
|
MEME16003
|
Sampling Techniques
|
Core
|
|
|
|
3
|
|
|
|
MEME16103
|
Multivariate Analysis
|
Core
|
|
|
|
|
|
3
|
|
MEME16203
|
Linear Models
|
Core
|
|
|
|
3
|
|
|
|
MEME1xx03
|
Elective
|
Elective
|
|
|
3
|
|
|
|
|
MEME1xx03
|
Elective
|
Elective
|
|
|
|
|
|
3
|
|
MEME15102
|
Project I
|
Project
|
|
2
|
|
|
|
|
|
MEME25104
|
Project II
|
Project
|
|
|
|
|
4
|
|
Total Credit: 36ELECTIVE
MEME16303 Advanced Probability Theory
MEME17803 Stochastic Analysis for Finance and Actuarial Science
MEME17603 Computer Intensive Methods for Stochastics Models in Finance
MEME17003 Applied Multivariate Analysis
To view progress/flow of study, please click here.
Head of Programme
Dr Chua Kuan Chin
Assistant Professor
Head of Programme (Master of Mathematical Science)
Department of Mathematical and Actuarial Sciences
Faculty of Engineering and Science
Email: chuakc@utar.edu.my
UTAR reserves the right to
make changes without prior notice.
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