CS773 - MASTER OF SCIENCE IN APPLIED MATHEMATICS

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Programme Description / Penerangan Program

The Masters of Science in Applied Mathematics is a two semester program giving in-depth knowledge of advanced applied mathematics topics and computational tools in three areas, computational mathematics, engineering mathematics and financial and management mathematics. Students are required to do a 20 credit hour dissertation in the second semester. The program aims to sharpen analytical, modelling and problem solving skills for career advancement in industry, business, management, education and other professions wherever mathematics is applied. Graduates will also be well prepared to further their studies at the doctoral program. 

Entry Requirement/ Syarat Kemasukan

  • Bachelor Degree with minimum CGPA of 2.75 in the field of Mathematics from UiTM or other institutions of higher learning approved by the UiTM Senate; OR
  • Bachelor Degree with minimum CGPA of 2.50 in the field of Mathematics from UiTM or other institutions of higher learning approved by the UiTM Senate and a minimum of two (2) years relevant working experience.

Further information, please contact:
Pn Shahirulliza Shamsul Ambia
Koordinator Programme CS773 
Tel: 03-55435340

Course Detail / Perincian Kursus

Semester 1

Matrix Theory and 3 elective courses

 

Semester 2 
Dissertation and 1 elective course

Students are required to choose one of the three tracks and select elective courses from the chosen track.

 

Track 1: Computational Mathematics

 

Semester 1

Choose any three from:

Fundamentals of Numerical Analysis

Computational Mathematics

Dynamical Systems

Fluid Mechanics and Heat/Mass Transfer

Finite Difference Methods for Partial Differential Equations

 

Semester 2

Chose one from:

Mathematics for Parallel Computation

Advanced Mathematical Methods

Track 2: Engineering Mathematics

 

Semester 1

Choose any three from:

Mathematical Programming

Computational Mathematics

Dynamical Systems

Fluid Mechanics and Heat/Mass Transfer

Finite Difference Methods for Partial Differential Equations

 

Semester 2

Chose one from:

Mathematics for Parallel Computation

Advanced Mathematical Methods

 

Track 3: Financial and Management Mathematics

 

Semester 1

Choose any three from:

Mathematical Programming

Financial Mathematics

Fuzzy Modelling for Finance and Management

Mathematics in Logistics

Discrete Event Simulation Techniques

 

Semester 2

Chose one from:

Advanced Mathematical Methods

Mathematics in Financial Risk Management

 

Mode and Duration / Mod dan Jangka Masa

Mode of Study

Coursework

Duration of Study

Full Time  : 3-4 semesters

Part Time : -