General Info

POSTGRADUATE ACADEMIC PROGRAMMES

The postgraduate programmes offered by IMK prepare students for careers in research, industry as well as academia. The programmes offer are as follows:

Doctor of Philosophy (Ph.D) (Research Mode)
Master of Science (M.Sc.)(Research Mode)
Master of Science (M.Sc.) Engineering Mathematics (Mixed Mode)

OBJECTIVES

Prepare graduates to have the knowledge and competency in careers and related to engineering mathematics.
Prepare graduates to become leaders in fields related to engineering mathematics.
Prepare graduates to pursue higher education in engineering mathematics or other professional fields.

ADMISSION REQUIREMENTS

Ph.D

A Master's degree in Mathematics / Engineering / Science / Computer Science from any of the institution of higher learning recognized by the University Senate or any other equivalent qualification to Master's degree recognized by the University Senate.

Master by Research & Mixed Mode

with minimum CGPA 2.75 from any of the institution of higher learning recognized by th University Senate OR
with minimum CGPA 2.50 and not meeting CGPA of 2.75 can be accepted subject to rigorous internal assessment, OR
not meeting CGPA 2.50 can be accepted subject to minimum of at least 5 years work experience in relevant fields, OR
any other equivalent qualification recognized by the University Senate.

DURATION CANDIDATURE

PROGRAMME	FULL TIME		PART TIME
PROGRAMME	Min (month)	Max (month)	Min (month)	Max (month)
Ph.D (Research Mode)	24	60	36	84
M.Sc. (Research Mode)	12	36	24	60
M.Sc. Engineering Mathematics (Mixed Mode)	12	36	24	60

POTENTIAL RESEARCH AREA

A wide- ranging expertise of IMK's researchers is one of the strengths of its postgraduate programmes. Areas in which our researchers are particularly active include:

Research Area	Description
Pure Mathematics	Fuzzy mathematics, algebra and analysis.
Applied Mathematics	Theoretical biomechanics, numerical analysis, fluid mechanics, computer aided geometric design, state estimation and applications.
Engineering Mathematics	Signal and image processing, pattern recognition, artificial neural network, fuzzy logic.
Operational research	Mathematical modelling and fuzzy modelling for decision making problems, network graph theory, discrete event simulation, algorithm and optimization problems, multiple criterion decision making.
Statistics	Directional statistics, outliers, medical and health statistics, psychometric, Bayesian inference, extreme value analysis, applied multivariate statistics, design of experiments.
Theoretical Physics	Nuclear many body problem, Bose-Einstein condensates, nuclear structure calculation, Hartree-Fock analysis and numerical methods.