Science

Diploma in Technology in Applied Statistics

The Diploma in Technology in Applied Statistics is a technical programme that equips students with knowledge and practical skills in applied statistics, statistical computing, data analysis and statistical modelling. Offered at the Technical University of Kenya through the School of Mathematics and Statistics, the programme prepares students for technical roles in data analysis and statistical applications across various sectors.

The curriculum covers descriptive and inferential statistics, probability theory, statistical computing, regression analysis, sampling techniques, survey methods, time series analysis, operations research, statistical quality control, biostatistics, data management, research methods and industrial attachment. Students develop both theoretical knowledge and hands-on skills using statistical software.

Kenya's data-driven economy is expanding, with increasing demand for statistical technicians who can collect, analyse and interpret data in government, research, industry and business. The programme responds to the need for trained personnel who can apply statistical methods to solve real-world problems and support evidence-based decision-making.

The programme is delivered through lectures, computer laboratory sessions, statistical software workshops, data analysis projects, case studies, group discussions and industrial attachment. Students gain practical experience through data analysis assignments, survey projects and supervised industrial attachment in statistics offices, research institutions or data departments.

Graduates pursue careers as statistical technicians, data analysts, research assistants, quality control assistants and survey coordinators in government statistics offices, research institutions, NGOs, manufacturing and corporate organisations. They can also progress to a Bachelor of Technology in Applied Statistics at the Technical University of Kenya.

Prospective students should have interest in mathematics, statistics and data analysis. The programme is suitable for students seeking technical careers in applied statistics and data management.

Duration: 3 years
Public, up to: Ksh 127,500
Job market: Moderate

The programme

What you study, how long it takes, and how it is delivered.

Practicalities

Study mode: Full-time, Integrated Programme
Attachment: 3 months
Average class: 30 students
Award: Diploma

What you study

7 subjects

Descriptive and Inferential Statistics
Probability Theory and Statistical Computing
Regression Analysis and Time Series Analysis
Sampling Techniques and Survey Methods
Operations Research and Statistical Quality Control
Biostatistics and Data Management
Research Methods and Industrial Attachment

Modules

9 in the programme

Descriptive and Inferential Statistics
Year 1Semester 13 creditsCore
Covers descriptive statistics, data presentation, measures of central tendency and dispersion, probability distributions, sampling distributions, estimation and hypothesis testing.
Probability Theory and Statistical Computing
Year 1Semester 14 creditsCore
Covers probability theory, random variables, probability distributions, statistical computing using R or SPSS, data entry, data management and basic programming for statistics.
Regression Analysis and Time Series Analysis
Year 1Semester 23 creditsCore
Covers correlation, simple and multiple regression, model diagnostics, time series analysis, forecasting methods, seasonal decomposition and trend analysis.
Sampling Techniques and Survey Methods
Year 1Semester 23 creditsCore
Covers sampling techniques, simple random sampling, stratified sampling, cluster sampling, survey design, questionnaire design, data collection and survey quality control.
Operations Research and Statistical Quality Control
Year 2Semester 13 creditsCore
Covers operations research, linear programming, optimisation, statistical quality control, control charts, process capability and Six Sigma basics.
Biostatistics and Data Management
Year 2Semester 13 creditsCore
Covers biostatistics, epidemiological study designs, clinical trials, survival analysis, data management, database systems and data cleaning techniques.
Research Methods and Statistical Project
Year 2Semester 24 creditsCore
Covers research methods, research design, proposal writing, data analysis and a statistical project, assessed through a written report and presentation.
Industrial Attachment
Year 3Semester 16 creditsCore
A supervised industrial attachment in a statistics office, research institution, data department or quality control unit, assessed through an attachment report and supervisor evaluation.
Advanced Statistical Applications
Year 3Semester 24 creditsCore
Covers advanced statistical applications, multivariate analysis, non-parametric methods, Bayesian statistics basics and a final statistical analysis project.

Specialisations

Biostatistics
Focuses on statistics in health and medicine for careers in health research.
Quality Control
Specialises in statistical quality control for careers in manufacturing and production.
Data Analysis
Focuses on statistical computing and data visualisation for careers as data analysts.
Survey Statistics
Specialises in survey design and sampling methods for careers as survey coordinators.

A day as a student

A typical day begins with a morning lecture on probability theory or inferential statistics, followed by a computer lab session using R or SPSS for data analysis. Afternoon sessions may include a regression analysis workshop, a sampling methods exercise, or preparation for industrial attachment. Students also work on data analysis projects and statistical assignments.

The trade offs

In its favour

The programme includes industrial attachment for practical experience.
Graduates can progress to a Bachelor of Technology in Applied Statistics at TUK.
Statistical skills are in demand across government, research, NGOs and private sector.

Against it

The programme is offered at only one university, limiting study options.
The 3-year duration is longer than typical 2-year diplomas.

What it costs

Tuition at both ends of the market, and how to pay for it.

What it costs, and where

Against 243 science courses

Public128k to 128k

128k at Technical University of Kenya128k at Technical University of Kenya

Annual tuition in Kenyan shillings, rounded. The upright tick is the median for this field, so a bar sitting entirely to its right is an expensive programme by the standards of its own subject.

The fine print

TUK Yr1 127,500/yr (kenyaeducationguide.com). Private: unverified.

Students can access HELB loans. Public university students may access government funding through the new funding model.

Funding options

HELB Loan

Scholarships

1 recorded

HELB Loan
LoanKsh 40,000Kenyan
Kenyan students enrolled in accredited programmes at recognised institutions

Getting in

The grades, the alternatives, and who accredits the award.

What you need

KCSE mean grade: C-
Alternative entry: KCSE mean grade D (plain) with a craft certificate in a related course area.

How you are assessed

4 components

Continuous Assessment Tests
Written examination30% of the mark
Mid-semester and end-of-semester written tests covering descriptive statistics, probability, regression and sampling techniques.
Data Analysis Assignments
Assignment30% of the mark
Assessment of data analysis assignments using statistical software, survey projects and data management tasks.
Statistical Project
Project40% of the mark
A statistical analysis project, assessed through a written report, data analysis output and presentation.
Industrial Attachment Report
Practicum100% of the mark
Assessment of performance during supervised industrial attachment in a statistics office or research institution.

Accreditation

Accredited by the Commission for University Education (CUE). The programme is offered at the Technical University of Kenya, School of Mathematics and Statistics.

Accredited by

Commission for University Education
AcademicRequired
Accredited by the Commission for University Education (CUE). The programme is offered at the Technical University of Kenya, School of Mathematics and Statistics.

Where it leads

The roles it opens, and what you leave with.

Where graduates go

4 roles

Statistical Technician
Moderate demandKsh 35,000 to Ksh 170,000
Collects, cleans and analyses data, produces statistical reports, supports survey operations and assists with data management in government and research institutions.
Data Analyst
High demandKsh 42,000 to Ksh 210,000
Analyses data using statistical software, creates dashboards and reports, supports data-driven decision-making and presents findings to stakeholders in NGOs and corporate organisations.
Research Assistant
Moderate demandKsh 35,000 to Ksh 175,000
Supports research projects, collects and analyses data, prepares research reports and assists with survey coordination in research institutions and universities.
Quality Control Assistant
Moderate demandKsh 33,000 to Ksh 165,000
Monitors quality control processes, performs statistical quality checks, maintains control charts and supports quality assurance in manufacturing and production.

Graduate outcomes

Graduates work as statistical technicians, data analysts, research assistants and quality control assistants in government, research institutions, NGOs and corporate organisations.

Where these fields lead

8 careers

Tools you will learn

R
ToolPrimary
SPSS
Tool
Microsoft Excel
Tool
Python
Code

Certifications

Commission for University Education (CUE) Accreditation

Industry links

Common misconceptions

Applied statistics is just about crunching numbers.
Applied statistics involves data collection, analysis, interpretation, modelling, quality control and decision-making, using advanced statistical software and methods.
A diploma in technology in applied statistics has limited career prospects.
Data-driven decision-making is growing across all sectors. Graduates can also progress to a Bachelor of Technology in Applied Statistics at TUK.
Statistics is only for people who want to work in banks.
Statistics is used in government, health, manufacturing, research, NGOs, agriculture and virtually every sector that collects and analyses data.
A Diploma in Technology is inferior to a regular diploma.
The Diploma in Technology at TUK is a technical, industry-focused qualification with a strong practical component, including industrial attachment.