10 Jan2018

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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MSc (Industrial Mathematics)

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