Technology

Diploma in Data Science and Artificial Intelligence

The Diploma in Data Science and Artificial Intelligence is a programme that equips students with knowledge and practical skills in data analytics, machine learning, artificial intelligence and data-driven decision making. Offered at Africa International University, the programme prepares students for careers in the rapidly growing fields of data science and AI.

The curriculum covers programming fundamentals, statistics for data science, data visualisation, database systems, data mining, machine learning algorithms, deep learning, natural language processing, computer vision, big data technologies, AI ethics, cloud computing, data engineering, business analytics, communication skills and entrepreneurship. Students develop both analytical and programming skills.

Kenya's digital economy is experiencing rapid growth in data-driven services, creating demand for professionals who can analyse data, build AI models and support data-driven decision making. The programme responds to the need for skilled practitioners who can work with data, machine learning and AI technologies across sectors.

The programme is delivered through lectures, computer laboratory sessions, project-based learning, case studies and industrial attachment. Students gain hands-on experience in data analysis, model building and AI application development through laboratory sessions and attachment at IT departments, data teams or technology firms.

Graduates pursue careers as data analysts, data science assistants, machine learning assistants, business intelligence assistants, data engineers and AI application developers in banks, telecom firms, technology companies, government agencies and corporate analytics departments. They can also progress to a Bachelor of Science in Data Science or related degree programmes.

Prospective students should have analytical skills, interest in mathematics and programming, and problem-solving aptitude. The programme is suitable for students seeking practical data science and AI skills for employment or further study.

Duration: 2 years
Private, up to: Ksh 102,750
Job market: High

The programme

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

Practicalities

Study mode: Full-time, Online, Blended
Attachment: 3 months
Average class: 25 students
Award: Diploma

What you study

8 subjects

Programming and Statistics for Data Science
Data Visualisation and Database Systems
Data Mining and Machine Learning Algorithms
Deep Learning and Natural Language Processing
Big Data Technologies and Data Engineering
Computer Vision and AI Applications
AI Ethics and Cloud Computing
Business Analytics and Entrepreneurship

Modules

8 in the programme

Programming and Statistics for Data Science
Year 1Semester 13 creditsCore
Covers Python programming, data structures, statistics fundamentals, probability, hypothesis testing and data manipulation with pandas and numpy.
Data Visualisation and Database Systems
Year 1Semester 13 creditsCore
Covers data visualisation principles, charts and dashboards, SQL, relational databases, NoSQL databases and data warehousing fundamentals.
Data Mining and Machine Learning
Year 1Semester 23 creditsCore
Covers data mining techniques, supervised and unsupervised learning, regression, classification, clustering, model evaluation and scikit-learn.
Deep Learning and NLP
Year 1Semester 23 creditsCore
Covers neural networks, deep learning fundamentals, TensorFlow and PyTorch, natural language processing, text analysis and language models.
Big Data and Data Engineering
Year 2Semester 13 creditsCore
Covers big data technologies, Hadoop, Spark, data pipelines, ETL processes, data engineering and cloud computing platforms.
AI Applications and Ethics
Year 2Semester 13 creditsCore
Covers computer vision, AI application development, AI ethics, bias and fairness, responsible AI and business analytics.
Capstone Project and Entrepreneurship
Year 2Semester 23 creditsCore
A capstone project integrating data science and AI concepts to solve a real-world problem, plus entrepreneurship and communication skills.
Industrial Attachment
Year 2Semester 26 creditsCore
A three-month industrial attachment at an IT department, data team or technology firm, assessed through an attachment report.

Specialisations

Data Analytics
Focuses on data analysis, visualisation and business intelligence for careers as data analysts.
Machine Learning
Specialises in ML model development, training and deployment for careers as machine learning assistants.
Data Engineering
Focuses on data pipelines, ETL and big data technologies for careers as data engineers.
AI Applications
Specialises in AI application development including NLP and computer vision for careers as AI developers.

A day as a student

A typical day begins with a morning lecture on statistics or machine learning algorithms, followed by a laboratory session on data analysis using Python. Afternoon sessions may include a deep learning practical, a data visualisation exercise, or a group project on building AI models. Students also work on data science projects and participate in coding challenges.

The trade offs

In its favour

Data science and AI are among the fastest-growing fields globally with high demand across all sectors.
The programme combines theoretical knowledge with practical laboratory sessions and industry attachment.
Graduates can progress to a Bachelor of Science in Data Science or related degree programmes.

Against it

The field evolves rapidly, requiring continuous learning and upskilling beyond the diploma.
The programme is offered at only one university, limiting study location options.

What it costs

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

What it costs, and where

Against 191 technology courses

Private76k to 103k

76k at Techsavanna Software Institute (TSI)103k at Zetech University

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

TSI 76K, Zetech 102.75K/yr private (tsi.ac.ke, scribd). Public: unverified.

Students can access HELB loans. AIU offers scholarships and work-study opportunities for qualifying students.

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: Certificate in IT or related field from a recognised institution, or Recognition of Prior Learning (RPL) certification through KNQA.

How you are assessed

4 components

Continuous Assessment Tests
Written examination30% of the mark
Mid-semester and end-of-semester written tests covering programming, statistics and machine learning.
Laboratory Practicals
Practicum40% of the mark
Assessment of laboratory sessions including data analysis, model building and AI application exercises.
Capstone Project
Project50% of the mark
A capstone project integrating data science and AI concepts, assessed through a presentation and report.
Industrial Attachment Report
Practicum100% of the mark
Assessment of performance during industrial attachment at an IT department, data team or technology firm.

Accreditation

Accredited by the Commission for University Education (CUE). The programme is offered at Africa International University.

Accredited by

Commission for University Education
AcademicRequired
Accredited by the Commission for University Education (CUE). The programme is offered at Africa International University.

Where it leads

The roles it opens, and what you leave with.

Where graduates go

4 roles

Data Analyst
High demandKsh 45,000 to Ksh 180,000
Analyses data, creates visualisations, builds dashboards, generates insights and supports data-driven decision making in organisations.
Data Science Assistant
Moderate demandKsh 42,000 to Ksh 160,000
Supports data science projects, prepares data, builds models, conducts experiments and assists senior data scientists.
Machine Learning Assistant
Moderate demandKsh 44,000 to Ksh 170,000
Supports ML model development, data preprocessing, model training, testing and deployment under senior ML engineers.
Business Intelligence Assistant
Moderate demandKsh 40,000 to Ksh 150,000
Supports BI operations, creates reports, maintains dashboards, analyses business data and assists with BI tool administration.

Graduate outcomes

Graduates work as data analysts, data science assistants and machine learning assistants in banks, telecom firms, technology companies and government agencies.

Where these fields lead

8 careers

Certifications

Industry links

Common misconceptions

Data science is only for mathematics experts.
The programme teaches statistics and programming from foundational levels, making it accessible to students with basic mathematics skills.
AI will replace jobs, making this field pointless.
AI creates new roles requiring professionals who can build, deploy and maintain AI systems, increasing demand for skilled practitioners.
You need expensive equipment to study data science.
The programme uses standard computers and cloud-based tools, with university laboratories providing necessary computing resources.
Data science is the same as computer science.
Data science focuses on data analysis, statistics and AI, while computer science covers broader computing including software engineering and systems.