## Brochure

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## Programme Profile

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, modeling 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.

## Programme Objectives

To produce graduates who are able to:

- demonstrate a comprehensive and thorough understanding of mathematical concepts
- employ mathematical techniques, skills and ICT tools in solving mathematical problems
- identify, analyze, formulate and solve related problems mathematically
- communicate ideas effectively in written and oral form.
- collaborate with other researchers
- adhere to ethical standards and practices in professional work
- use mathematical knowledge for life-long learning
- manage mathematics project, conduct consultation and involve in entrepreneurship
- lead and work in a team on problem solving projects.

## Programme Structures

Students are required to complete a total of 40 credit hours, comprising of 16 credit hours in semester one (1 core course and 3 elective course of 3 credits each) and 24 credit hours in semester two (1 elective course of 4 credits and dissertation of 20 credits)

## Suitable Candidates

Graduates of mathematics, researchers and professionals in the mathematics environment, who wish to deepen their knowledge in applied mathematics and enhance their analytical and problem modeling and solving skill.

## Mode and Duration

Full time: 2-3 semesters

Classes are conducted during the day, Monday to Friday

## Admission Requirements

- 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.

## Plan of Study

All students are required to take the following courses:

**Semester 1 Year 1**

Matrix Theory and 3 elective courses

**Semester 2 Year 1**

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 one**:

Choose three from : Fundamentals of Numerical Analysis ,Computational Mathematics ,Dynamical Systems, Fluid Mechanics and Heat/Mass Transfer, Finite Difference Methods for Partial Differential Equations.

**Semester two**:

Chose one from: Mathematics for Parallel Computation ,Advanced Mathematical Methods .

**Track 2: Engineering Mathematics**

**Semester one**:

Choose three from : Mathematical programming, Computational Mathematics ,Dynamical Systems, Fluid Mechanics and Heat/Mass Transfer, Finite Difference Methods for Partial Differential Equations.

**Semester two**:

Chose one from: Mathematics for Parallel Computation ,Advanced Mathematical Methods .

**Track 3: Financial and Management Mathematics**

**Semester one**:

Choose three from : Mathematical programming, Financial Mathematics ,Fuzzy Modelling for Finance and Management, Mathematics in Logistics , Discrete Event Simulation Techniques

**Semester two**:

Chose one from: Advanced Mathematical Methods , Mathematics in Financial Risk Management .

## Career Opportunities

Graduates could be involved in any work wherever mathematics is applied - from being a climate analyst, a forensic scientist, an engineer working in improving quality of yield and output of industry to someone in the financial markets, concerned with value of stock, bonds and derivatives or a manager or planner determining policies in optimizing procedural efficiency.