MSc (Industrial Mathematics)

Program Aims
To produce graduates who are knowledgeable and able to apply mathematical knowledge in industry, engineering and technology.


Program Objectives
Program Educational Objectives (PEOs) are as follows:

PEO1:

Able to apply advanced mathematical knowledge in industry, engineering and technology.

PEO2:

Able to use current mathematical software as aided tools to solve related problems.

PEO3:

Able to integrate affective values in producing holistic human capital.


Program Outcomes:

Program outcomes are specific statements regarding a graduate’s knowledge, skills and attitudes that describe what students are expected to know and be able to perform or attain at graduation time.

PO1

Demonstrate mastery of knowledge in mathematics.

PO2

Apply mathematical skills in related practical fields.

PO3

Use critical thinking to solve applied industrial problems.

PO4

Communicate effectively in expressing scientific ideas both orally and in writing.

PO5

Demonstrate an active participation and display good sense of responsibility in a team to solve problems.

PO6

Engage in continuous learning to pursue knowledge and skills.

PO7

Apply managerial and entrepreneurial skills on ongoing basis to complete a given task.

PO8

Conduct research with minimal supervision and adhere to legal, ethical and professional codes of practice.

PO9

Demonstrate leadership qualities through communicating and working effectively with peers and stakeholder


Program Structure

No

Classification

Credit Hours

1

Faculty Core

3

2

Program Core

10

3

Elective Courses

(Choose a minimum of two courses from a minimum one specialization)

8

4

Dissertation

21

Total

42

Total minimum credit hours to graduate

42

 

Study Duration

Mode of Study

Minimum

Maximum

Full Time

I.5 years

(3 Semesters)

3 years

(6 semesters)

Part Time

2 years

(4 Semesters)

4 years

(8 semesters)

 

List of Courses

Faculty Core

Course Code

Course Name

MSU4113

Research Methodology

Program Core Courses

Course Code

Course Name

MSM4213

Industrial Statistics

MSM4413

Computational Methods in Industry

MSM4424

Programming & Simulation

Elective Courses

(Choose a minimum of two courses from either specialisation Data Computing or Computational Mathematics)

Specialisation

Course Code

Course Name

Data Computing

MSM4224

Statistical Quality Control

MSM4234

Data Design Analysis

MSM4244

Data Mining

MSM4254

Statistical Modelling

MSM4264

Time Series Analysis & Forecasting

MSM4274

Multivariate Data Analysis

Computational Mathematics

MSM4434

Mathematical Modelling

MSM4444

Operational Research

MSM4454

Partial Differential Equations  

MSM4464

Computational Fluid Dynamics

MSM4474

Advanced Numerical Methods

MSM4484

Mathematical Image Processing

Dissertation

Course Code

Course Name

MSM4910

Dissertation I

MSM5920

Dissertation II

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