B.S.c in Mathematical Studies (120 Credits)

Obtain 20 credits from Foundation level courses.
MATH S121 A Foundation in Pure Mathematics (10)
MATH S122  A Foundation in Applied Mathematics (10)

Obtain 10 credits from Higher level compulsory courses.
MATH S390  Quantitative Models for Financial Risk (5)
MATH S333  Advanced Mathematical Methods (5)

Obtain 60 credits from the following core courses of which at least 10 credits gained at Higher level
MATH S221 Mathematical Methods (10)
MATH S222  Mathematical models and applications (10)
MATH S215  Linear Algebra (5)
MATH S216  Mathematical Analysis (5)
MATH S280  Statistical Methods for Decision Science (10)  CEF
COMP S258  Computer Programming and Problem Solving (10)
MATH S346*  Linear Statistical Modeling (10)
MATH S373*  Optimization Methods for Decision Making (10)  CEF

Obtain 10 credits from the following optional courses
COMP S 263  Discrete Structure (10)
MATH S346*  Linear Statistical Modeling (10)
MATH S373*  Optimization Methods for Decision Making (10)  CEF
MATH S350  Applied Probability Models for Decision Making (10)
MATH ST365  Graphs, Networks and Design (10)  CEF

Additional 20 credits for free choice
From any foundation, middle or higher level courses offered by the University, provided that of the total 120 credits, no more than 40 are gained at Foundation level
[Note: Courses with * can only take once.]


B.S.c (Hons) in Mathematical Studies (160 Credits)

Obtain 20 credits from Foundation level courses
MATH S121 A Foundation in Pure Mathematics (10)
MATH S122  A Foundation in Applied Mathematics (10)

Obtain 10 credits from Higher level compulsory courses.
MATH S390  Quantitative Models for Financial Risk (5)
MATH S333  Advanced Mathematical Methods (5)

Obtain 60 credits from the following core courses of which at least 10 credits must be gained at Higher level
MATH S221 Mathematical Methods (10)
MATH S222  Mathematical models and applications (10)
MATH S215  Linear Algebra (5)
MATH S216  Mathematical Analysis (5)
MATH S280  Statistical Methods for Decision Science (10)  CEF
COMP ST258  Computer Programming and Problem Solving (10)
MATH S346*  Linear Statistical Modeling (10)
MATH S373*  Optimization Methods for Decision Making (10)  CEF

Obtain 20 credits from the following Higher level courses
MATH S365* Graphs, Networks and Design (10)  CEF
MATH S373*  Optimization Methods for Decision Making (10)  CEF
MATH S346*  Linear Statistical Modeling (10)
COMP S359  Relational Databases: Theory & Practices (10)

Obtain 30 credits from the following optional courses
COMP S 263  Discrete Structure (10)
COMP S201 Computing Fundamentals with Java (10)
MATH S249  Practical modern statistics (10)  CEF
MATH S365*  Graphs, Networks and Design (10)  CEF
MATH S350  Applied Probability Models for Decision Making (10)

Additional 20 credits for free choice
From any foundation, middle or higher level courses offered by the University, provided that of the total 160 credits, no more than 40 are gained at Foundation level.
