# Bachelor of Science in Statistics

- Link: https://kilimanjaroyetu.com/2026/08/29/bachelor-of-science-in-statistics/
- Published: 2026-08-29T05:16:20+00:00
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## Programme Description

The Bachelor of Science in Statistics programme intends to train students both in
theoretical development and in the real-life applications of modern statistical 
methodology. Specifically, the course is designed to equip and prepare graduates
with: • Technical skills in data management, data analysis, monitoring and evaluation
and basic statistical modelling, 260 • Diverse career opportunities in both public
and private sectors; or venture in business, • Ability to critically analyse and
interpret data and write reports based on the results they have produced, and • 
Empower students to be self-employable statistics professionals who can use their
skills in establishing statistical consultancy services. Programme Expected Learning
Outcomes After the completion of the programme, students are expected; • To demonstrate
the ability to handle and manipulate data for decision making processes. • To plan
and conduct sample surveys and experimental designs. • To write reports and provide
statistical services consultancy. • To analyse data using statistical packages and
make interpretation to real world problems. • To create statistical databases. •
To apply statistics in decision making in other disciplines, e.g. biological sciences,
social sciences, and economics. • To plan and run different instances of small business.•
To interact effectively and harmoniously in the community through teamwork, adaptability
and problem solving.

## Programme Structure

#### Semester 1 year 1

  |  Code |  Course Title |  Status |  Credits |  
   |  ST 1100 |  Statistical Computing |  Core |  9 |  
 |  ST 1101 |  Basic Statistics |  Core |  9 |  
 |  CP 111 |  Principles of Programming |  Core |  9 |  
 |  MT 1101 |  Foundations of Analysis |  Core |  9 |  
 |  MT 1102 |  Linear Algebra and Applications |  Core |  10.5 |  
 |  LG 102 |  Communication Skills |  Core |  7.5 |  
 |  DS 102 |  Development Perspectives |  Core |  7.5 |

#### Semester 2 year 1

  |  Code |  Course Title |  Status |  Credits |  
   |  ST 1201 |  Probability Theory |  Core |  9 |  
 |  ST 1202 |  Operations Research I |  Core |  9 |  
 |  ST 1203 |  Basic Demographic Models |  Core |  9 |  
 |  MT 1201 |  Mathematical Analysis I |  Core |  9 |  
 |  MT 1202 |  Ordinary Differential Equations |  Core |  9 |  
 |  EN 126 |  Statistical Methods in Economics I |  Core |  7.5 |  
 |  CP 123 |  Introduction to High Level Programming |  Core |  9 |

#### Semester 1 year 2

  |  Code |  Course Title |  Status |  Credits |  
   |  ST 2101 |  Probability Distributions |  Core |  10.5 |  
 |  ST 2102 |  Statistical Inference |  Core |  10.5 |  
 |  ST 2103 |  Statistical Methods for Quality Control |  Core |  9 |  
 |  ST 2104 |  Operations Research II |  Core |  9 |  
 |  ST 2105 |  Research Methods and Practice |  Core |  7.5 |  
 |  ST 2299 |  Practical Training -I |  Core |  7.5 |  
 |  EN 216 |  Statistical Methods in Economics II |  Core |  7.5 |

#### Semester 2 year 2

  |  Code |  Course Title |  Status |  Credits |  
   |  ST 2201 |  Sampling Theory and Methods |  Core |  9 |  
 |  ST 2202 |  Regression Analysis I |  Core |  9 |  
 |  ST 2203 |  Actuarial Statistics |  Core |  9 |  
 |  ST 2204 |  Non-Parametric Methods |  Core |  9 |  
 |  ST 2205 |  ST 2205: Time Series and Forecasting |  Core |  9 |  
 |  ST 2206 |  ST 2206: Financial Statistics |  Core |  7.5 |  
 |  CP 121 |  CP 121: Introduction to Database Systems |  Core |  9 |

#### Semester 1 year 3

  |  Code |  Course Title |  Status |  Credits |  
   |  ST 3101 |  Design and Analysis of Experiments |  Core |  9 |  
 |  ST 3102 |  Introduction to Multivariate Analysis |  Core |  10.5 |  
 |  ST 3104 |  Categorical Data Analysis |  Core |  7.5 |  
 |  ST 3105 |  Stochastic Processes |  Core |  9 |  
 |  IM 315 |  Management Information Systems for Statisticians |  Core |  7.5 |  
 |  EME 211 |  Small Business Management and Entrepreneurship |  Core |  9 |  
 |  ST 3299 |  Practical Training -II |  Core |  7.5 |

#### Semester 2 year 3

  |  Code |  Course Title |  Status |  Credits |  
   |  ST 3201 |  Biostatistics and Epidemiology |  Core |  10.5 |  
 |  ST 3202 |  Applied Spatial Statistics |  Core |  9 |  
 |  ST 3296 |  Statistical Project |  Core |  10.5 |  
 |  ST 3206 |  Regression Analysis II |  Core |  10.5 |  
 |  ST 3204 |  Panel Data Analysis |  Elective |  10.5 |  
 |  ST 3205 |  Statistical Methods for Projects Evaluation |  Elective |  10.5 |  
 |  CS 329 |  Big Data Analysis |  Elective |  9 |  
 |  CP 224 |  Database Management System |  Elective |  9 |