Programmes

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Postgraduate Programmes

M.Sc. Mathematics

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Objectives

To impart a knowledge of Mathematics which would enable  graduates to perform more effectively in the workplace and also enhance their research capability.

 

Programme Co-ordinator: Dr. Donna Comissiong

Entry Requirements

To be admitted to the programme, a candidate should (normally) possess a  BSc degree majoring in Mathematics or equivalent (minimum GPA 2.0) with at least Lower Second Class Honours. Candidates with lower qualifications may be considered but will be required to pass qualifying courses, as prescribed by the department.   All candidates must have passed the following courses (or its equivalent):

 

Course Code     Title

MATH 2100         Abstract Algebra

MATH 2110         Linear Algebra

MATH 2120         Analysis & Mathematical Methods I

MATH 2160         Analysis & Mathematical Methods II

 

Duration of study

The course of study will extend over one year of full-time study or two years of part-time study.  Part-time students will normally be required to complete the degree within two years of registration; and must complete it within three years.

 

Examination

Students will be required to pass both the coursework and the written examination. The pass mark is 50%.  The grading scheme for graduate degrees is as follows:  A 70 - 100%; B+ 60-69%; B 50-59%.  In the case of the Research Project, evaluation will be based on the project report.

 

Award of Degree

To qualify for the award of the degree, candidates must pass all three Core courses, five/six Elective courses and the Research Project. The degree shall be awarded in two categories - Distinction and Pass.  For the award of the degree with distinction, the candidate must have  obtained an average mark of 70% or more, across all Core courses and  Elective courses as well as 70% or more in the Research Project.

 

A candidate failing a course shall be ineligible for the award of distinction.

 

Course of Study

The MSc programme consists of 3 core courses and 5/6 electives

Either

          (i)      5 elective courses and an 8- credit

                    Research Project.  (MATH 6000)

Or

          (ii)     6 elective courses and a 4- credit

                    Research Project.  (MATH  6001)

 

A Research Project must be chosen in collaboration with at least one Lecturer in Mathematics. An   8- credit project is equivalent to two courses. A 4- credit project is equivalent to one course.

 

CORE COURSES: (4 CREDITS EACH)

Course Code         Title

MATH 6100            Algebra (Group Theory and Applications)

MATH 6110            Real Analysis

MATH 6120            Differential Equations

 

ELECTIVE COURSES: (4 CREDITS EACH)

Course Code         Title

MATH 6130            Algebra (Group Actions)

MATH 6140            Advanced Mathematical Methods

MATH 6150            Viscous Flows

MATH 6160            An Introduction to Non-Newtonian Fluid Mechanics

MATH 6170            Advanced Discrete Mathematics (F-Polynomials of Graphs)

MATH 6180            Probability

MATH 6190            Numerical Analysis

MATH 6191            Asymptotic & Perturbation Analysis

MATH 6192            Advanced Mathematical Modeling

MATH 6193            Numerical Methods for Partial Differential Equations

MATH6194             Discrete Mathematics

MATH6195             Finite Element Analysis

MATH6310             Complex Analysis

MATH6620             Topology

MATH6630             Functional Analysis

MATH6640             Theory of Integration

 

 

*
 = Core Course
 
Sem
 = Semester
 

 

M.Sc. Statistics

Return to Top | M.Sc. Mathematics| M.Sc. Statistics

Objectives

To provide graduates with a comprehensive and advanced knowledge of Statistics so as to enable them to function effectively as professional Statisticians and to provide them with an adequate background for further study and research in Statistics.

 

Programme Co-ordinator: Dr. Robin Antoine

Entry Requirements

To be admitted to the programme a candidate should possess a BSc degree with at least Lower Second Class Honours or its equivalent (GPA 2.0).  Candidates are expected to have a minimum grade B  (quality point 3.0) in the following courses or  its equivalent:

 

Course Code     Title

MATH 2110         Linear Algebra

MATH 2120         Analysis & Mathematical Methods I

MATH 2140         Introduction to Probability

MATH 2150         Introduction to Statistics

 

In addition to the above, the following courses offered by the Department of Mathematics and Statistics will be an asset: MATH 3450 - Statistical Theory I and MATH 3460 - Statistical Theory II. Applicants who do not satisfy these requirements may be admitted upon successful completion of qualifying courses.

 

Course of Study

For the  MSc programme in Statistics, students are required to complete (32 credits) consisting of:

          (i)      5 core courses (20 credits)

AND

          (ii)     3 elective courses (12 credits) with an 8-credit Research Project (STAT 6000) which must be chosen in collaboration with at least one Lecturer in Statistics.

 

The course of study shall extend over one (1) year of full time study or two (2) years of part time study, however, at the present time, only a part-time programme is available.

 

Examination

Students will be required to pass both the coursework and the written examination. The pass mark is 50%.  The grading scheme for graduate degrees is as follows:  A 70 - 100%; B+ 60-69%; B 50-59%.  In the case of the Research Project, evaluation will be based on the project report.

 

Award of Degree

To qualify for the award of the degree, candidates must pass all five Core courses, three Elective courses and the Research Project.  The degree shall be awarded in two categories - Distinction and Pass.  For the award of the degree with distinction, the candidate must have obtained an average mark of 70% or more, across all Core courses and  Elective courses as well as 70% or more in the Research Project. 

 

A candidate failing a course shall be ineligible for the award of distinction.

 

CORE COURSES: (4 CREDITS EACH)

Course Code     Title

STAT 6100          Applied Probability Theory

STAT 6110          Applied Statistical Inference

STAT 6120          Linear Statistical Methods

STAT 6130          Sampling Theory & Techniques

STAT 6140          Experimental Design and Analysis

 

Select 3 of the following Elective Courses  (4 Credits)

Course Code     Title

STAT 6150          Stochastic Process & Applications

STAT 6160          Data Analysis

STAT 6170          Multivariate Analysis

STAT 6181          Computational Statistics I

STAT 6182          Computational Statistics II

 

*
 = Core Course
 
Sem
 = Semester
 

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