PROGRAMME OVERVIEW
The MSc. in Business Intelligence and Analytics is a one-year graduate programme designed to cultivate professionals capable of transforming complex data into strategic organisational assets. The curriculum integrates advanced technical competencies in data engineering, statistical modelling and visualisation with managerial expertise in evidence-based decision-making and performance analytics.
Graduates are equipped to design, implement, and lead intelligent data systems that generate actionable insights, driving strategic innovation, operational excellence, risk intelligence, and sustainable competitive advantage across public, private, and non-profit sectors.
LEARNING OUTCOMES AND COMPETENCIES FOR
MASTER OF SCIENCE IN BUSINESS INTELLIGENCE and ANALYTICS
- Apply a comprehensive analytics spectrum: diagnostic, predictive, and prescriptive analytics to diagnose business challenges and optimise outcomes across functional domains.
- Engineer robust data pipelines to collect, cleanse, integrate, and govern structured and unstructured data from heterogeneous enterprise sources.
- Leverage industry-standard analytical and visualisation tools (e.g., SQL, Python, R, Power BI, Tableau) to develop dynamic dashboards, interactive reports, and compelling data narratives for diverse stakeholder audiences.
- Design, implement, and validate statistical models, machine learning algorithms, and optimisation techniques for forecasting, pattern recognition, and continuous performance improvement.
- Translate complex analytical outputs into clear, strategic business recommendations that inform leadership decisions in finance, marketing, operations, human capital, and risk management.
ENTRY REQUIREMENTS
- A good first degree (First Class to Second Class Lower
- Division) in relevant fields.
- Applicants holding a first degree below Second Class
- Lower with a minimum of two years industry experience may be considered on a case-by-case basis.
- Holders of recognised professional qualifications such as
- ICAG, ACCA, CIMA, CIM, ICSA, CIAMC, or their equivalent may also be considered for admission.
TARGET PARTICIPANTS
- Business and data analysts.
- IT professionals transitioning into analytics engineering and data strategy roles.
- Finance and economics professionals integrating advanced analytics into financial planning, risk modelling. and performance intelligence.
- Entrepreneurs and SME leaders leveraging analytics to enhance market competitiveness, operational agility, and growth strategy.
- Public sector and NGO professionals engaged in policy analysis, monitoring and evaluation, and evidence-based governance.
CAREER AND PROGRESSION OPPORTUNITIES
Graduates are prepared for impactful service across multiple sectors and are well-positioned for consulting roles, further academic and professional advancement.

What is the Cost?:
Modules under Master of Science in Business Intelligence and Analytics
SEMESTER ONE
Heritage Capstone (Ethical Leadership and Entrepreneurship)
Statistical Methods for Business Analytics
Machine Learning for Business Decision-Making
Research Methods
Seminar – Business Intelligence and Analytics
Business Strategy and Analytics
Programming and Visualisation for Business Analytics
SEMESTER TWO
Big Data Technologies and Applications
Ethics, Governance , and Data Privacy
Business Intelligence and Data Warehousing
Predictive and Prescriptive Analytics
Financial Analytics and Risk Management (prescribed elective)
Market Analytics (prescribed Elective)

