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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.

Duration
3 years
Next intake January 2027
Public tuition
Ksh 127,500
Ksh 382,500 total
Job market
Moderate
Market demand for graduates

The short answer

What it costs
Up to Ksh 127,500 a year at a public institution, Ksh 382,500 for the whole course.The detail
Who can get in
A KCSE mean grade of C- or above. There is another way in without it.The detail
How long, and when
Takes 3 years, full-time, integrated programme, with 3 months of attachment. Next intake January 2027, at 1 institution.The detail
Where it leads
8 careers in the catalogue. The least exposed to AI is Forensic DNA Scientist, at 15 out of 100.The detail

The programme

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

Overview

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.

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 favourAgainst it
The programme includes industrial attachment for practical experience.The programme is offered at only one university, limiting study options.
Graduates can progress to a Bachelor of Technology in Applied Statistics at TUK.The 3-year duration is longer than typical 2-year diplomas.
Statistical skills are in demand across government, research, NGOs and private sector.—

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

Scholarships you could apply for

6 usable where it is taught
Save one and be reminded before it closes

Getting in

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

What you need

KCSE mean grade
C-minimum entry
Alternative entry

KCSE mean grade D (plain) with a craft certificate in a related course area.

When it next starts

Taught at 1 institution
January 20271 institution

Including Technical University of Kenya.

May 20271 institution

Including Technical University of Kenya.

September 20271 institution

Including Technical University of Kenya.

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

  • 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

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.

Further reading

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