Programmes 
Introduction  Undergrad  Postgrad  
Postgraduate Programmes
M.Sc. Mathematics 
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 Coordinator: 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 2120 Analysis & Mathematical Methods I
MATH 2160 Analysis & Mathematical Methods II
Duration of study
The course of study will extend over one year of fulltime study or two years of parttime study. Parttime 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+ 6069%; B 5059%. 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 6120 Differential Equations
ELECTIVE COURSES: (4 CREDITS EACH)
Course Code Title
MATH 6130 Algebra (Group Actions)
MATH 6140 Advanced Mathematical Methods
MATH 6160 An Introduction to NonNewtonian Fluid Mechanics
MATH 6170 Advanced Discrete Mathematics (FPolynomials of Graphs)
MATH 6180 Probability
MATH 6191 Asymptotic & Perturbation Analysis
MATH 6192 Advanced Mathematical Modeling
MATH 6193 Numerical Methods for Partial Differential Equations
MATH6195 Finite Element Analysis
MATH6620 Topology
MATH6640 Theory of Integration
*  = Core Course 


Sem  = Semester 
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 Coordinator: 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 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 8credit 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 parttime 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+ 6069%; B 5059%. 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 6170 Multivariate Analysis
STAT 6181 Computational Statistics I
STAT 6182 Computational Statistics II
*  = Core Course 


Sem  = Semester 