Diploma in Data Science and Artificial Intelligence (DDSAI)

Campus
Main Campus
Level
Diploma
Method
School
SBE
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Diploma in Data Science and Artificial Intelligence

Duration

2½ Years

Five semesters

Study Options

Full-time
Evening
Weekend
Open, Distance and eLearning (ODeL)
Blended Learning

Intakes

January  ·  May  ·  September

Every organisation today relies on data. Businesses, governments, healthcare institutions, schools, financial institutions, non-governmental organisations, and ministries generate vast amounts of information every day. The challenge is no longer collecting data—it is understanding it, using it effectively, and transforming it into meaningful decisions.

At the same time, Artificial Intelligence is changing how organisations solve problems, deliver services, and make decisions. This has created a growing demand for professionals who understand both data and intelligent technologies.

The Diploma in Data Science and Artificial Intelligence at Africa International University’s School of Computing and Emerging Technologies (SCET) prepares students to meet this demand. The programme combines the principles of Data Science, Artificial Intelligence, machine learning, statistics, programming, and business analytics to develop graduates who can analyse complex data, build intelligent solutions, and support informed decision-making across different sectors.

Learning is practical, project-based, and closely aligned with industry practice. Students work with modern data science tools, analyse real datasets, develop predictive models, and complete a capstone project that demonstrates their ability to solve authentic organisational problems.

Throughout the programme, students are encouraged to approach technology responsibly, recognising that data and artificial intelligence should improve lives, uphold human dignity, and contribute positively to society.

  • Why Choose This Program?
  • The Diploma in Data Science and Artificial Intelligence has been developed to prepare graduates for the realities of today's technology-driven workplace. By the time you complete the programme, you will have developed the ability to:
  • Collect, clean, analyse, and interpret data from multiple sources.
  • Build predictive machine learning models for practical applications.
  • Design interactive dashboards and reports that support organisational decision-making.
  • Apply Artificial Intelligence techniques to solve business and societal challenges.
  • Work confidently with industry-standard programming languages, databases, and analytical tools.
  • Develop an industry-ready portfolio through practical projects and a capstone project.
  • Progress confidently into higher studies or professional certification programmes.
TimePlaceSemester Range
3 Hour ClassLecture RoomsJan, May & Sept

Entry requirements


Kenya Certificate of Secondary Education (KCSE) Mean Grade C (minus) or its Accredited and Recognized equivalent OR


KCSE Mean Grade D (plain) or its Accredited and Recognized equivalent with Recognized relevant Post-Secondary Certificate, OR


Recognition of Prior Learning (RPL) in accordance with KNQA guidelines


An equivalent qualification recognised by the University Senate.

Mode of study


Remote Teaching & Learning via Microsoft Team-Semester

Regular classes: Monday-Friday (Intake: Jan, May, Sept)

What you will learn

The programme provides comprehensive training in:

  1. Programming for Data Science
  2. Statistics and Mathematics for Data Analytics
  3. Database Design and SQL
  4. Python Programming
  5. Data Visualisation
  6. Machine Learning
  7. Artificial Intelligence Fundamentals
  8. Deep Learning
  9. Business Intelligence
  10. Data Engineering
  11. Big Data Technologies
  12. Cloud Computing
  13. Responsible Artificial Intelligence
  14. Research Methods
  15. Innovation and Entrepreneurship
  16. Professional Practice
  17. Capstone Industry Project

 

Industry Relevance

The curriculum has been developed to respond to the growing demand for data and AI professionals across Africa and beyond.

It reflects current developments in Data Science, Artificial Intelligence, cloud computing, and business analytics while supporting Kenya’s Digital Economy Blueprint, the African Union Digital Transformation Strategy, and the increasing adoption of data-driven decision-making across government, business, healthcare, education, finance, agriculture, and development sectors.

Graduates are also well positioned to pursue globally recognised professional certifications offered by organisations such as Microsoft, Google, IBM, Oracle, AWS, Databricks, and SAS.

01

Practical Learning Experience

Practical application is central to the programme. Students participate in:

Hands-on laboratory sessions
Data analytics projects using real-world datasets
Artificial Intelligence model development
Machine learning experiments
Business intelligence dashboard development
Team-based innovation projects
Industry case studies
Capstone project addressing an authentic organisational challenge

Graduates complete the programme with practical experience that demonstrates their technical competence and problem-solving ability.

02

Software & Technologies

Students gain practical experience using widely adopted industry tools, including:

Python Jupyter Notebook Google Colab SQL PostgreSQL Power BI Tableau TensorFlow Scikit-Learn Pandas NumPy GitHub Microsoft Azure AWS Foundations
03

Career Opportunities

Graduates are prepared for entry-level roles across both the public and private sectors. Some of those roles include:

Data Analytics

Data Analyst  |  Business Intelligence Analyst  |  Reporting Analyst  |  Data Quality Officer

Artificial Intelligence

AI Support Specialist  |  Machine Learning Technician  |  AI Solutions Assistant

Data Management

Junior Data Engineer  |  Database Developer  |  Data Operations Officer

Business & Digital Transformation

Business Analytics Officer  |  Digital Transformation Officer  |  Decision Support Analyst

Research & Development

Research Assistant  |  Monitoring & Evaluation Data Officer  |  Data Consultant

The programme also provides a strong foundation for entrepreneurship and freelance data analytics consultancy.