The course modules in Mathematical Modelling were especially designed incorporating, as much as possible, the practical aspects of the subject areas with the aim of developing the students’ ability in applying their knowledge to real world problems, which would certainly enhance employability of the graduates in Industry and the Public Service. A number of course modules were introduced in Mathematical Modelling for the second and third year students exposing them to a pragmatic approach to solve the problems in Industry and Commerce, Science and Engineering and Social Sciences.

The course modules in Mathematics were designed to provide students with a sound knowledge in degree level Mathematics and required knowledge to study other related subjects in corresponding subject combinations while retaining its core areas of Algebra and Analysis. A specifically designed course module called Foundation mathematics was offered for the students in Nutrition and Community Resources Management (NCRM) Stream, who had followed Art Subjects for their G.C.E. (A/L) in order to provide them with a sufficient mathematical background to grasp the subjects in relevant subject cmbinations.
Following the comprehensive curriculum revision carried out in 2011, the Department named Mathematics & Mathematical Modelling and statistics as the two major subject areas with which the students could follow either of the four year B.Sc. (Joint Major) Degree Programme or the B.Sc. (Special) Degree Programme.

1st year, Semester I

  • Introduction to Mathematics I
  • Introduction to Probability and Statistics I

1st year, Semester II

  • Introduction to Mathematics II
  • Differential Equations
  • Introduction to Probability and Statistics II

2nd year, Semester I

  • Linear Algebra I
  • Statistical Inference I

2nd year, Semester II

  • Linear Algebra II
  • Design of Experiments
  • Regression Analysis

3rd year, Semester I

  • Advanced Calculus
  • Mathematical Methods
  • Statistical Inference II
  • Time Series Analysis

3rd year, Semester II

  • Discrete Mathematics
  • Numerical Methods
  • Mathematical Models
  • Applied Number Theory
  • Statistical Techniques
  • Operations Research
  • Data Analysis & Preparation of Statistical Reports
  • Theory of Interest

4th year, Semester I

  • Complex Variables
  • Hydrodynamics & Thermodynamics
  • Project
  • Research Project
  • Stochastic Processes
  • Quality Control
  • Actuarial Mathematics

4th year, Semester II

  • Partial Differential Equations
  • Measure Theory
  • Multivariate Analysis
  • 6 months Industrial Training

Contact Information MS



Department of Mathematical Sciences,
Faculty of Applied Sciences,
Wayamba University of Sri Lanka,
Sri Lanka.

+94 37 2283170