Diploma in Business Intelligence and Data Analytics (DBIDA)

Introduction

Current technology involved in all aspects of business transactions and human social interaction generates an unprecedented massive amount of data. As business opportunities embedded in vast generated data lakes continue to surface, forward-looking organizations are realizing great needs in new data management and analytics technologies and professionals. The Diploma in Business Intelligence and Data Analytics programme is intended to teach students analytic techniques, data management, and statistics to become effective analysts and informed users of business data. It will equip students with the required skills and know-how to work on the ever-growing data for effective decision making and competitive advantage.

Admission Requirements

Admission into the first year is strictly through Direct Entry, and applicants must meet the following:

  • Direct Entry Requirements
  • A candidate must have:
    • Uganda Certificate of Education (UCE)
    • At least 5 passes, including a credit in Mathematics (or equivalent).
    • Uganda Advanced Certificate of Education (UACE)
    • At least 1 principal pass in any subject.
    • Note: Equivalent international qualifications are accepted if recognized by the National Council for Higher Education (NCHE).

Program Details

    • Duration: 2 Years (Minimum) – 5 Years (Maximum)
    • Mode of Study: Day, Evening, and Weekend
    • Campus: Makerere University Business School (MUBS) Main Campus & Regional Campuses
    • Award: Diploma in Business Intelligence and Data Analytics
    • Teaching Approach: A practical blend of lectures, hands-on labs, case studies, data projects, teamwork, and real-world datasets, emphasizing problem-solving, data handling, and analytical thinking.

Expected Learning Outcomes / Career Prospects

  • Upon successful completion of the program, graduates will be able to:
    • Collect, clean, manage, and analyze datasets.
    • Use statistical and analytical tools to support business decision-making.
    • Build basic business intelligence dashboards and reports.
    • Apply foundational machine learning concepts to practical problems.
    • Communicate insights effectively using data visualization tools.
    • Understand data governance, ethics, and security in analytics environments.

Career Opportunities:

  • Graduates can work in junior-level roles such as:

    • Data Engineer / Data Architect – Prepares and manages big data infrastructure; integrates data from multiple sources.
    • Data Scientist – Applies statistics, machine learning, and analytical methods to generate insights.
    • Data Analyst – Processes data, runs queries, creates reports, visualizes findings.
    • Business Intelligence (BI) Developer – Engages stakeholders, gathers reporting needs, and builds BI dashboards and analytics solutions.

Target Group

  • This programme is ideal for:

    • Learners interested in starting careers in data analytics and data management.
    • Individuals aiming to work in IT, business, research, banking, telecom, health, and public administration.
    • A-level graduates seeking a technical and practical qualification in the fast-growing field of data science.
    • Professionals who want to gain foundational skills in analytics, business intelligence, and data visualization.

Apply Online

The Basic Requirements for the whole process include:

  • An email address and contact number
  • Your Academic Documents to pick Key details like Award Institution, Index Number for O and A level, year of award, etc.
  • A Laptop/Computer with a Stable Internet Connection
  • Note that a PDF Document (With all Qualifications) is attached after submitting the form
  • The Payment is made after Attaching the Documents

Apply Online