Bachelor of Science in Mathematics and Statistics (BSMST)

  • Instructor: mwecau
  • Duration: 3 weeks

Entry Requirements

Direct Entry

  • Applicants must have at least two principal passes of which one must in mathematics

Equivalent qualification entry:

  • Applicants must hold at least four ‘O’ level passes in relevant subjects, one of which must be Mathematics, and must hold a Diploma in Computer Science or related fields, with at least a B grade.

Mature age entry

  • Applicants must be 25 years of age or above
  • Applicants must have either obtained at least three principal pass in approved subjects at ‘O’ level or attended Form 6 at least 5 years before the year for which admission is sought
  • Must have passed Recognition of Prior Learning (RPL) examination.


Programme Content

Year 01 (Semester 01)

  • Foundations of Analysis
  • Calculus I
  • Basic Statistics
  • Probability Distribution I
  • Sampling Theory and Methodology
  • Applied Statistics I

Year 01 (Semester 02)

  • Linear Algebra
  • Calculus II
  • Introduction to Computer Packages
  • Test of Hypothesis I
  • Computer Programming
  • Operations Research I
  • Design and Analysis of Experiments
  • Field Training Practice

Year 02 (Semester 01)

  • Vectors And Vector Mechanics
  • Calculus III
  • Probability Distribution II
  • Applied Statistics II
  • Statistical Inference I
  • Operations Research II
  • Time Series Analysis
  • Mathematics Teaching Methods

Year 02 (Semester 02)

  • Probability and Statistics
  • Ordinary Differentials Equations
  • Test of Hypothesis II
  • Number Theory
  • Measure and Integration
  • Probability Distribution II
  • Mathematical Modeling Techniques
  • Field Training Practice

Year 03 (Semester 01)

  • Mathematical Statistics
  • Linear Programming
  • Statistical Inference II
  • Regression Analysis
  • Statistical Quality Control
  • Stochastic Process
  • Measure And Probability
  • Research Methodology

Year 03 (Semester 02)

  • Numerical Analysis
  • Complex Analysis
  • Graph Theory
  • Non Linear Programming
  • Multivariate Normal Distribution
  • Computer and Mathematics Interface
  • Research Project
  • Field Training Practice

Curriculum is empty

Vice Chancellor

There is no review for this course