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Submitted by admin on Sat, 08/14/2021 - 09:16

About the Programme|

Mathematical sciences is a broad term that includes, in addition to areas of mathematics, those academic disciplines that are primarily mathematical in nature but may not be universally considered subfields of mathematics proper.  Apart from analytical and reasoning skills, together with problem-solving skills, acquired through the learning of rigorous mathematical concepts, students will also be able to pick up computing skills, technical communication techniques, as well as have the opportunity to learn how mathematics is connected with other disciplines such as biology, computer science, economics and finance. Opportunities for deeper investigations in the subject are also provided for students who seek extra challenge through special courses, supervised independent study and research projects. Given the broadness of mathematical sciences, in the first two years, students take common core courses in fundamental topics: calculus, linear algebra, discrete mathematics, probability, scientific programming and mathematical exposition, to build a strong foundation that will give them maximum flexibility and choices in later years. Subsequently, students will focus on one of the distinct specializations: Mathematics, Statistics and Actuarial Science.
Objectives    
The objectives of this programme are to:
•    Equip the learner with a solid mathematical foundation.
•    Prepare learners for postgraduate training and research in mathematics.
•    Prepare learners for a career in scientific, banking or business areas requiring mathematical or statistical background.

Programme Courses

Year 1: Semester 1  
MMA 100     Basic Mathematics
MMA 109     Foundation of Pure Mathematics
MMA 111     Introduction to Calculus
MAS  101     Descriptive Statistics
MAS 103     Introduction to Probability Theory
MAC 107     Introduction to Actuarial Science
MIT 101     Basic Concepts of IT
MIT 103     Web Browsing and Communication
MAC 105     Microeconomics
   
Year 1: Semester 2  
MMA 101     Analytical Geometry
MMA 103     Linear  Algebra I
MMA 110     Foundation of Applied Mathematics
MAS 102     Probability and Distribution Theory I
MAC 102     Fundamentals of Actuarial Methods I
MAS 106     Introduction to Biostatistics
MAC 104     Linear Models and Forecasting
MAC 106     Macroeconomics
MIT 103     Handling Data
MIT 104     Descriptive Statistical Analysis and Presentations.
PHT 112    HIV/AIDS
   
Year 2: Semester 1  
MMA 202     Vector Analysis
MMA 215     Calculus
MMA 217     Numerical Convergence
MMA 203     Classical Mechanics
MMA 221     Introduction to Number Theory
MAS 201     Sample Surveys
MAS 203     Economic Statistics
MAS 207     Probability and Distribution Theory II
MAC 201     Financial Mathematics II
MAC 203     Fundamentals of Actuarial Mathematics II
MIT 201     Statistical Computing  I
MIT 203     Collecting and Organising Data
   
Year 2: Semester 2  
MMA 201     Linear Algebra II
MMA 206     Algebraic Structures
MMA 204   Dynamics I
MMA 208     Introduction to Analysis
MMA 216    Multivariable Calculus
MMA 219     Graph Theory
MAS 202  Principles o Statistical Inference
MAS 204     Demography and Social Statistics
MAC 202     Life Testing Analysis
MAC 204     Theory of Interest
MAC 206     Actuarial Mathematics I
MAC 208    Risk Theory
MAC 210     Investment and Asset  Management  I
MIT 202     Data Management
MIT 204      Scientific Report Reading, Writing and Presentation
   
Year 3: Semester 1  
MMA 300     Real Analysis I
MMA 301     Ordinary Differential Equations I
MMA 307    Methods I
MMA 308     Fluid Mechanics I
MMA 319     Numerical Mathematics I
MAS 303     Estimation Theory
MAS 305     Stochastic Processes I
MAS 307     Theory of Sampling Techniques
MAS 309     Time Series Analysis and Forecasting
MAS 311     Statistical Demography I
MAS 313     Principles of Econometrics
MAS 315     Statistical Genetics
MAC 303     Actuarial Mathematics II
MAC 305     Pension Mathematics
MIT 301     Computer based Survey Techniques
MIT 303     Computers applied to Mathematics
   
Year 3: Semester 2  
MMA 302     Linear Algebra III
MMA 303     Complex Analysis I
MMA 304     Group Theory I
MMA 309     Real Analysis II
MMA 312     Operations Research I
MAS 302     Mathematical Methods
MAS 304     Test of Hypothesis
MAS 306     Statistical Modelling
MAS 308     Analysis of Experimental Designs I
MAS 310     Stochastic Decision Models I
MAS 312     Statistical Computing II
MAS 314     Research Methodology
MAC 300     Financial Mathematics II
MAC 302     Methods of Actuarial investigations
MAC 304     Actuarial life contingencies I
MAC 306     Financial economics
MIT 302     Statistical Computing II
MIT 304     Introduction to Object Orientated programming
MIT 306    Web design Project
   
Year 3: Semester 3  
MAS 317     Industrial Attachment
   
Year 4: Semester 1  
MMA 401     Ring Theory
MMA 403     Topology I
MMA 404     Complex Analysis II
MMA 405     Partial Differential Equations
MMA 409     Differential Geometry
MMA 413 Methods II
MMA 417     Group Theory II
MMA 420     Operation Research II
MAS 401     Further Distribution Theory
MAS 403     Non Parametric methods
MAS 405     Analysis of Experimental Designs II
MAS 407     Further Time series Analysis
MAS 409     Further Sample Survey Theory and Methods
MAS 411     Stochastic Decision Models II
MAS 413    Stochastic  Models for Biological Processes
MAS 415     Biometric Models
MAS 417    Statistical Demography II
MAS 419     Econometric Models I
MAS 421    Stochastic Processes II
MAS 423     Practical Statistics
MAS 425    Labour Dynamics
MAS 427     Agricultural Indices
MAS 429     Energy Analysis
MAS 431     Teaching of Statistics
MAC 401     Mathematics of Demography and Graduation
MAC 403     Actuarial life contingencies II
MAC 405     Investment and Asset Management II
MAC 407     Principles of financial Management
MAC 409     Project in Actuarial science
MAC 415     Survival analysis
MIT 401     Bayesian Modelling
MIT 403     Writing Micros
MIT 405     Programming: Advanced Objects and Data Structures
   
Year 4: Semester 2  
MMA 402    Measure Theory
MMA 407     Field Theory
MMA 408     Topology II
MMA 410     Functional Analysis
MMA 411   Partial Differential Equations II
MMA 414     Fourier Analysis
MMA 416     Galois Theory
MMA 418     Algebraic Geometry
MMA 429    Operations Research III
MAS 402     Bayesian Inference and Decision Theory
MAS 406     Robust Methods and Non-Parametrics
MAS 408     Multivariate Methods
MAS 410     Statistic Model Building
MAS 412     Stochastic Models for social Processes
MAS 414     Survey Research  Methods
MAS 416     Quality Control Methods
MAS 418     Applied Population Analysis
MAS 420     Applied demography
MAS 422     Econometric Models II
MAS 424     Applied Econometrics
MAS 426     Statistical Computing III
MAS 428     Response Surface Methodologies
MAS 430     Educational Statistics
MAS 432     Health Indicators
MAS 434    Government Financial Structure
MAS 436     Environmental / Ecological Indicators
MAS 438     Statistical Organization
MAC 404    Computational Finance
MAC 406     Risk and Credibility Theory
MAC 408     Risk Mathematics
MAC 410     Fundamentals of General Insurance
MIT 402     Problem based Statistical Analysis
MIT 404     Algorithms
MIT 406     Programming Project

Programme Requirements

Admission Requirements
Applicants eligible for admission into the program must:
•    Satisfy the minimum entry requirements for admission to the University and the School of Mathematics, Statistics and Actuarial Science.
•    Attain a B-(minus) in Mathematics at KCSE or equivalent.

Duration of the Programme
The duration of the program shall normally be four (4) academic years.
Teaching methods in all units shall include lectures, seminars, tutorials, discussions.


Degree Structure
The program offers courses within the degree structure spelled out by the Faculty.

Course Structure

•    The Department offers courses in terms of units as defined by the faculty.
•    There shall be CORE, ELECTIVE and REQUIRED courses. Core courses are mandatory, while Elective and Required courses may be chosen by students as preferred in fulfilling the full-time load requirement.
•    A student will take a minimum of 14 and a maximum of 16 units in each year of study.  Students wishing to take more than 16 units will require Senate approval.
•    There shall be an industrial attachment at the end of third year.

 

Course Category
Course Teaser

About the Programme|

 

Mathematical sciences is a broad term that includes, in addition to areas of mathematics, those academic disciplines that are primarily mathematical in nature but may not be universally considered subfields of mathematics proper.  Apart from analytical and reasoning skills, together with problem-solving skills, acquired through the learning of rigorous mathematical concepts, students will also be able to pick up computing skills, technical communication techniques, as well as have the opportunity to learn how mathematics is connected with other disciplines such as biology, computer science, economics and finance. Opportunities for deeper investigations in the subject are also provided for students who seek extra challenge through special courses, supervised independent study and research projects. Given the broadness of mathematical sciences, in the first two years, students take common core courses in fundamental topics: calculus, linear algebra, discrete mathematics, probability, scientific programming and mathematical exposition, to build a strong foundation that will give them maximum flexibility and choices in later years. Subsequently, students will focus on one of the distinct specializations: Mathematics, Statistics and Actuarial Science.

Department