At the successful completion of the Bachelor of Science Mathematics course, a student should be able to: i) Demonstrate understanding of the theoretical conceptsin mathematics, recognise their historical background and where applicable, apply them to real life.

Mathematics is recognized as an indispensable tool in

advanced study and application in various scientific and

technological disciplines. Certain specializations such as

statistics and actuarial Sciences experience dire shortages

due to lack of qualified mathematicians. There are

virtually no women in these specializations in Kenya.

The Bachelor of Science in Mathematics degree programme at

KWUST aims at encouraging women to take up careers n this

field. Recognizing the importance of information technology

in modern society the programme also includes significant

coverage of basic courses in computer and information

technology. Other specializations include the traditional

branches of mathematics (Pure and Applied).

At the successful completion of the Bachelor of Science Mathematics course,

a student should be able to:

i) Demonstrate understanding of the theoretical conceptsin mathematics, recognise their historical

background and where applicable, apply them to real life.

ii) Demonstrate logical thinkingand to communicate their thoughts satisfactorily

using mathematical language.

iii) Demonstrate proper synthesis of information and to express the same in mathematical language.

iv) Demonstrate high level of pproficiency in quantitative and computing skills sufficient to meet various demands

of the society upon a modern woman.

v) To operate with excellence in professions that require mathematics for example

in banking, insurance,demography,tecnology,biometrics,bio-statistics,quality control,

engineering and business management.

•Mean grade C+ at K.C.S.E. In addition, she must have passed with a C grade in Mathematics and English

•A minimum of two principal passes one of which must be Mathematics at Advanced Level Certificate from a recognised institution.

•Have a diploma relevant subjects with at least a credit pass from an Institution recognised by the university.

•A minimum cumulative G.P.A. of 2.7 after undertaking Pre-University programme from a recognized institution.

Have any relevant qualification equivalent to the above four.

Student who have met the university entry requirement but have not met the minimal departmental requirement of a grade C in Mathematics and English will be required to undertake a one semester bridging course in the relevant subject.

Semester 1

Communication Skills

Foundation Mathmatics

Introduction to Analytical Goemetry

Introduction to Probability and Statisiics

Fundamentals of Computing

Introduction to Programming

Semester 2

Cultuer Sex and Gender Studies

Linear Algebre 1

Calculus 1

Discrete Mathematics

Probability and Statistics

Introduction to Numerical Analysis

Semester 3

Community Service

Year 2.

Semester 1

Development Studies

History of Mathematics

Calculus 2

Vector Analysis

Probability and Statistics 2

Introduction to Computer Organization

Semester 2

Public Image and Relations

Linear Algebra 2

Basic Number Theory

Classical Mechanics

Theory of Estimation

Introduction to Database Systems

Year 3.

Semester 1

Applications of Linear Algebra

Numerical Analysis 2

Complex Analysis 1

Introduction to Ordinary Differential Equations

Data Communications and Networks

Electives

Group Theory 1 (pure)

Number Theory (pure)

Fluid Mechanics 1(applied)

Mathematics for Modelling (applied)

Tests of Hypothesis (statistics)

Life Assuarance(acturial)

Semester 2

Computing Professional Ethics

Real Analysis

Partial Differential Equations 1

Operations Research 1

Systems Analysis and Design

Electives

Field Theory (pure)

Analytical Applied Mathematics (applied)

Design and Analysis of Sample Surveys (statistics)

Acturial Science 1(acturial)

Complex Analysis 2 ( pure/applied)

Semester 3

Internship(6 credit hours)

Year 4.

Semester 1

Research Methodology

Project=2 units (6 credit hours)

Operations Research 2

Time Series Analysis

Computer Graphics

Electives

Group Theory 2(pure)

Graph Theory (pure)

Differential Geometry (applied)

Numerical Analysis 2 (applied)

Non Parametric Methods

Design and Analysis of Experiments (statistics)

Multivariate Methods 1(statistics)

Acturial Science 2 (acturial)

Semester 2

Introduction to Financial Management

Strategic Management

Electives

Measure and Intergration(pure)

Introduction to Stochastic Process(statistics)

Measure Theory and Probability(statistics)

Fluid Mechanics 2(applied)

Multivariate Methods (statistics)

Coding theory (pure)

Quality Control and Acceptance Sampling (statistics)

Analytical and Mathematical Demography (acturial)

Acturial Science 3 (acturial)

General Insuarance (acturial)

Functional Analysis (pure)

Analytical Applied Mathematics 2 (applied)

Operations Research 3 (statistics)

Data Structures and Algorithms (computer)

Security and Cryptography (computer)