Bachelor of Science in Data Science & Artificial Intelligence

1. Introduction / Background

The Bachelor of Science in Data Science & Artificial Intelligence is an innovative undergraduate programme that blends mathematics, computer science, and domain knowledge to extract insights from data and develop intelligent systems. As organizations increasingly rely on data-driven strategies and automation, this programme equips learners with the skills needed to analyze complex data, build predictive models, and create AI-powered solutions that solve real-world problems.

It provides a strong foundation for those aspiring to shape the future through machine learning, big data, and intelligent technologies.

2. Rationale

In the digital era, data is a strategic asset and artificial intelligence is a transformative force. There is a growing demand for professionals who can combine analytical thinking with technical expertise to unlock value from data and automate decision-making processes. This programme responds to that need by training graduates in the development and deployment of data science and AI solutions across various sectors, including finance, health, agriculture, and public services.

3. Programme Objectives

  • To build strong competencies in data analysis, machine learning, and AI technologies.

  • To enable students to apply programming and statistical methods to extract insights from data.

  • To cultivate ethical awareness and responsible use of AI in business and society.

  • To prepare graduates for research, professional practice, and innovation in data-intensive domains.

4. Target Audience

  • Secondary school leavers interested in technology, data, and problem-solving.

  • ICT diploma holders seeking advanced degrees in data science and AI.

  • Practitioners in computing or mathematics aiming to specialize in analytics and intelligent systems.

  • Entrepreneurs and innovators interested in applying data-driven approaches to their ventures.

5. Career Prospects

Graduates of this programme can work in roles such as:

  • Data Scientist

  • Machine Learning Engineer

  • AI Developer

  • Business Intelligence Analyst

  • Data Engineer

  • Research Assistant in AI/Data Science

  • Computer Vision / NLP Specialist

  • Quantitative Analyst / Data Consultant

These roles span industries such as health, agriculture, banking, telecommunications, government, and tech startups.

6. Programme Structure / Duration

  • Duration: 3–4 years (6–8 semesters)

  • Credit Load: Typically 120–135 credits

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

7. Entry Requirements

  • Uganda Advanced Certificate of Education (UACE) with at least two principal passes in relevant subjects, preferably including Mathematics.

  • Recognized diploma in IT, Statistics, Mathematics, or related field.

  • Equivalent international qualifications as approved by the National Council for Higher Education (NCHE).

  • Candidates with strong technical or mathematical aptitude may also apply under special or mature entry routes.

8. Delivery Mode

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

  • Campus: On-campus with supported virtual learning environments

  • Methodology: Hands-on labs, project-based learning, data challenges, AI modeling tasks, and research activities

9. Assessment Methods

  • Practical coding and data assignments

  • Quizzes and written examinations

  • Group projects and data competitions

  • Capstone project and dissertation

  • Peer reviews and presentations

10. Certification / Award

Upon successful completion, learners will be awarded a Bachelor of Science in Data Science & Artificial Intelligence.

11. Progression Opportunities

  • Master’s degrees in Data Science, Artificial Intelligence, Machine Learning, or Applied Statistics

  • Professional certifications such as TensorFlow Developer, Microsoft Azure AI Engineer, Google Data Engineer

  • Research roles, PhD opportunities, or entrepreneurial ventures in data and AI innovation.

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.