Goals of the Programme

The Applied Statistics with Computingprogramme is aimed at:

  1. Producing graduates who are well grounded in the fundamentals of Mathematics /Applied Statistics and acquisition of the necessary skills in order to use their knowledge in a wide range of practical applications.
  2. Developing creative thinking and the power of imagination to enable graduates work in research in academia and industry for broader application.

iii)  Accommodating their relevant fields in allied disciplines and to allow the graduates of Applied Statistics with Computing  to fit into an inter-disciplinary environment.

  1. Relating the training of Applied Statistics with Computing graduates to the employment opportunities within and outside the country.
  2. To equip students with a good understanding of the principles of Applied Statistics with Computing, aspects of which will be at the leading edgeof knowledge.
  3. To produce Applied Statistics with Computing with the necessary skills for team work in an industrial and scientific research environment.

YEAR I

1STSEMESTER

CODE

DESCRIPTION

CREDIT HOURS

STA 1103

Probability and Statistics I

3

STA 1104

Calculus for Statistics I

3

STA 1105

Principles of Economics I

3

STA 1106

Computational Methods and Data Analysis I

3

MAT 1103

Basic Mathematics

3

COM 1103

Introduction to computers and computing

3

CMJ  1100

Communication skills

3

ZOO 1100

HIV & AIDS and Life style diseases

3

 

TOTAL

24

2NDSEMESTER

CODE

DESCRIPTION

CREDIT HOURS

STA 1207

Probability and Statistics II

3

STA 1208

Principles of Sample Surveys

3

STA 1209

Statistical Computing and Data Analysis

3

STA 1210

Fundamentals of Actuarial Mathematics I

3

STA 1211

Principles of Economics II

3

MAT 1203

Linear Algebra I

3

MAT 1205

Analytical Geometry

3

 

TOTAL

21

YEAR II

1STSEMESTER

CODE

DESCRIPTION

CREDIT HOURS

STA 2112

Mathematical Statistics I

3

STA 2113

Operations Research I

3

STA 2114

Introduction to Applied Statistics

3

STA  2115

Calculus for Statistics II

3

MAT 2103

Linear Algebra II

3

MAT 2105

Ordinary Differential Equations I

3

REL 2100

Philosophy and critical Thinking

3

ENS 2100

Environmental Skill

3

 

TOTAL

24

2NDSEMESTER

CODE

DESCRIPTION

CREDIT HOURS

STA 2216

Financial Mathematics I

3

STA 2217

Mathematical statistics II

3

STA 2218

Principles of Actuarial Science

3

STA 2219

Categorical Data Analysis

3

STA 2220

Computational Methods and Data Analysis II

3

STA 2221

Operations Research II

3

MAT 2203

Real Analysis

3

 

TOTAL

21

YEAR III

1STSEMESTER

CODE

DESCRIPTION

CREDIT HOURS

STA 3122

Mathematical Statistics III

3

STA 3123

Regression Analysis 

3

STA 3124

Theory of Estimation

3

STA 3125

Statistical Methods and Data Analysis

3

STA 3126

Financial Mathematics II

3

MAT 3103

Real Analysis II

3

 

ANY ONE ELECTIVE

3

 

TOTAL

21

2NDSEMESTER

CODE

DESCRIPTION

CREDIT HOURS

STA 3227

Sampling Theory and Methods I

3

STA 3228

Design and analysis of Experiments I

3

STA 3229

Testing of Hypotheses

3

STA 3230

Industrial attachment

3

MAT 2205

Numerical Analysis I

3

BBM 3200

Entrepreneurial and Work Skills

3

 

ANY ONE ELECTIVE

3

 

TOTAL

21

ELECTIVES

CODE

DESCRIPTION

CREDIT HOURS

STA 3131

Statistical Modeling I

3

STA 3132

Econometrics

3

STA 3233

Statistical Quality Control Methods

3

STA 3234

Applied Statistical Inference

3

YEAR IV

1STSEMESTER

CODE

DESCRIPTION

CREDIT HOURS

STA 4135

Applied Time Series Analysis

3

STA 4136

Measure and Probability

3

STA 4137

Statistical Demography

3

STA 4138

Statistical Computing

3

STA 4139

Design and Analysis of Experiments II

3

STA 4140

Project in Statistics

6

STA 4141

Bayesian Inference and Decision Analysis           

3

 

TOTAL

24

2NDSEMESTER

CODE

DESCRIPTION

CREDIT HOURS

STA 4242

Biometry Methods

3

STA 4243

Stochastic Processes

3

STA 4244

Sampling Theory and Methods II

3

STA 4245

Survival Analysis

3

STA 4246

Multivariate Analysis

3

 

ANY TWO ELECTIVES

 

STA 4247

Statistical modeling II     

3

STA 4248

Risk Theory

3

STA 4249

Non- Parametric and Robust Methods    

3

STA 4250

Statistics for National Planning             

3

 

TOTAL

21

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Contact us

Maasai Mara University

P.O. Box 861 - 20500, Narok, Kenya 

Email: info@mmarau.ac.ke

Tel: +254 020 5131400

Admission Enquiries: reg.aa@mmarau.ac.ke