Diploma in Data Science & Artificial Intelligence

1. Introduction / Background

The Diploma in Data Science & Artificial Intelligence is a foundational programme designed to introduce learners to the core principles and practical applications of data analysis and intelligent systems. As data and AI technologies continue to revolutionize industries, this diploma equips students with the essential tools to collect, process, and extract value from data while also understanding how to develop AI-driven solutions.

The programme is ideal for those seeking to enter the data science and AI fields or build a stepping stone toward advanced academic and professional opportunities.

2. Rationale

Organizations across sectors are leveraging data and artificial intelligence to improve efficiency, enhance decision-making, and drive innovation. However, there remains a shortage of skilled practitioners, particularly at the technician and entry-level analyst tiers. This diploma addresses this gap by providing hands-on, career-relevant training in statistics, programming, data handling, and basic AI model development.

It is well suited for early-career professionals and students looking to capitalize on the growing demand for data and AI expertise.

3. Programme Objectives

  • To provide foundational knowledge in data science, machine learning, and AI technologies.

  • To develop practical skills in data analysis, coding, and the use of common data science tools.

  • To foster critical thinking in the application of AI for solving real-world problems.

  • To prepare graduates for entry-level roles or further studies in data science and AI-related fields.

4. Target Audience

  • School leavers interested in data science, technology, or computing careers.

  • Certificate holders in ICT or science-related areas seeking advanced skills.

  • Working professionals in technical roles aiming to reskill or specialize in data and AI.

  • Entrepreneurs interested in applying AI and data-driven strategies in business.

5. Career Prospects

Graduates can pursue roles such as:

  • Junior Data Analyst

  • AI Assistant / Support Developer

  • Business Intelligence Technician

  • Machine Learning Assistant

  • Data Technician

  • Research / Data Entry Assistant in AI-related projects

Graduates may also choose to upgrade into a degree programme in Data Science, AI, or Computer Science.

6. Programme Structure / Duration

  • Duration: 2 years (4 semesters)

  • Credit Load: Typically 60–72 credits

  • Modules:
    (For the detailed modular curriculum, consult with our Academic Registrar at: ar@bit.ac.ug)

7. Entry Requirements

  • Uganda Certificate of Education (UCE) and at least one principal pass at UACE or equivalent.

  • Certificate in ICT, computing, or related disciplines from a recognized institution.

  • Applicants with practical experience in computing or data handling may also be considered under mature entry guidelines.

8. Delivery Mode

  • Modes: Full-time / Part-time / Blended

  • Campus: On-campus with optional online learning support

  • Approach: Hands-on lab sessions, data analysis projects, supervised coding exercises, and teamwork

9. Assessment Methods

  • Practical assignments and tool-based assessments

  • Quizzes and written tests

  • Individual and group data science projects

  • Capstone project or portfolio development

10. Certification / Award

Successful students will be awarded a Diploma in Data Science & Artificial Intelligence.

11. Progression Opportunities

  • Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or Software Engineering

  • Professional certifications in Python, data analytics, machine learning, or cloud computing

  • Entry-level roles in data-driven organizations or tech startups.

12. How to Apply

You can choose any of the following application methods:

  1. Apply Online
    Submit your application conveniently through our online portal:
    👉 https://bit.ac.ug/apply.html

  2. Download and Submit the Application Form
    Download the official application form here:
    👉 BIT Students Application Form (PDF)
    Fill in the form and submit it physically to our Admissions Office, or by email to: admissions@bit.ac.ug.

  3. Visit Our Campus
    You may also visit us in person to pick up or submit the filled application form at our Admissions Office:
    📍 Level 4, Ham Towers, Makerere Hill Road, Kampala, Uganda
    (Opposite Makerere Main Gate)

For assistance or further information, please contact the Admissions Office on; Telephone: +256-392-001934. Mobile/WhatsApp: +256-760-152398, or Email: admissions@bit.ac.ug.