Mathematics & Modelling Process (BSc.)

Programme Overview

The programme consists of three (3) levels and can be completed in a minimum of three years. Students pursuing the BSc. in Mathematics and Modelling Processes are required to take sixty (60) advanced credits from Level II/III mathematics courses. It is designed to provide a strong background in analysis and to develop high technical abilities in the applications of mathematics to real world problems. Throughout the programme, there will be an emphasis on laboratory- based work and problem-based learning via mathematical modelling, computer programming and case studies. This programme will equip students for careers in teaching, industry, financial services, information technology, management and consultancy, government, and industrial research and development.

Programme Objectives

BSc. in Mathematics and Modelling Processes aims to enable students to: 
•    Understand the theoretical aspects of basic mathematics in conjunction with practical methods of Applied Mathematics;
•    Construct practical mathematical models for several processes (physical, biological, social and business) in the real-world;
•    Identify and classify  the uses and limitations of such models, develop associated software and computational skills;
•    Assume careers as mathematicians in business and industry;
•    Undertake further study at the graduate level.

Admission Requirements

In order to do the BSc Actuarial Science Degree, candidates must satisfy the requirements for entrance to the Faculty of Science and Technology they must:

1.    Satisfy the University requirements for Normal Matriculation.
2.    Have obtained passes at CSEC Secondary Education General Proficiency level (or     equivalent) in Mathematics and two subjects at CAPE (both comprising Units 1 & 2) or at     GCE A-level (or equivalent) one of which must be an approved science subject.

1.    Satisfy the University requirements for Lower level Matriculation. 
2.    Have obtained passes at CSEC Secondary Education General Proficiency level with     grades I, II, or since 1998 grade III (or equivalent) in Mathematics and two approved science subjects.

Programme Structure

Students pursuing the BSc. in Mathematics and Modelling Processes are required to take sixty (60) advanced credits. The programme consists of 3 levels: level I consists of foundation courses that provide the basic mathematics required for all other aspects of programme, level II consists of courses that  provide solid background in both analysis and modelling; and level III consists of advanced modules in modelling with case studies. The course requirements and structure are as follows:

Level I  
MATH1141 – Introductory Linear Algebra &  Analytic Geometry 
MATH1142 – Calculus I    
MATH1151 – Calculus II 
MATH1152 – Introduction to Formal Mathematics 

Level II 
MATH2401 - Elements of Mathematical Analysis    
MATH2411 - Introduction to Abstract Algebra 
MATH2410  - A first course in Linear Algebra 
MATH2403 - Multivariable Calculus 
MATH2421 - Fourier Series and Integral Transforms 
MATH2407 - Stochastic Modelling 
MATH2420 - Ordinary Differential Equations 
MATH2430 - Linear Optimization    
STAT2001 - Inferential Statistics 

Level III
MATH3155 - Complex Variables 
MATH3402 - A Course on Metric Spaces & Topology
MATH3412 - Advanced Linear Algebra 
MATH3424 - Numerical Methods 
MATH3421 - Partial Differential Equations 
MATH3423  - Research Project 
MATH3422 - Mathematical Modelling 

9 credits from below as electives:

MATH 3401 Introduction to the theory of Integration

MATH3403 Some topics in Functional Analysis
MATH3411 Advanced Abstract Algebra 
MATH 3404 Introduction to Differential Geometry with Maple
MATH3414 Selected Topics in Operations Research 
STAT3002 Time Series 
STAT3001 Regression Analysis 

Careers after Graduation

Teaching, Industry, Financial Services, Information Technology, Management and Consultancy, Government, and Industrial Research and Development.