The programme runs over two years and four semesters. Year 1 covers core and elective coursework. Year 2 is dedicated to an independent research dissertation, with students developing their research proposal in Semester 2 of Year 1. Coursework comprises 10 modules: 8 core and 2 electives.

Core Modules

Research Methodology

Builds the skills needed to design and carry out original research in informatics. Students explore qualitative, quantitative, and mixed-methods approaches, and learn how to select and apply appropriate methods for different research contexts.

Project Management

Equips students with practical project management skills relevant to informatics. Topics include scope and time management, resource planning, budgeting, change management, organisational structures, and agile project delivery.

Business Intelligence

Introduces BI concepts as components of information systems, exploring how analytics transforms operational data into strategic organisational insights. Case studies examine BI tools, applications, limitations, and the technical and social factors that influence BI success.

Big Data

Covers the hardware and software technologies behind large-scale data management, including big data programming models, distributed storage, scalable querying, and software as a service. Students develop a practical understanding of big data infrastructure and its applications.

Business Management and Entrepreneurship

Introduces key entrepreneurship concepts and management functions applicable to both new ventures and established organisations. Students apply strategic and innovative thinking to real-world business scenarios.

Information Systems in Organisations

Examines how information systems function within organisations, including management information systems (MIS) and the social and administrative dimensions of IS implementation beyond the purely technical.

Fundamentals of Data Science

A hands-on introduction to the complete data science pipeline — from data acquisition and cleaning through exploration, modelling, and communicating results. Students work with real datasets and modern tools, and engage with the ethical dimensions of data science practice.

Database Management and Cloud Computing

Covers the design, implementation, and management of database systems and cloud-based applications. Students develop both practical database skills and a critical understanding of security and performance considerations in cloud environments.

Master Thesis

Students undertake a substantial independent research project in their chosen area of specialisation, guided by a supervisor. The module covers literature review, research design, data analysis, proposal writing, and dissemination of findings through a dissertation and oral presentation.

Elective Modules

Geographic Information Systems

Introduces spatial data concepts and GIS tools for analysing and visualising geographic information. Students learn to create maps, perform spatial analysis, and apply GIS techniques across a range of disciplines.

Distributed Systems

Examines the fundamentals of distributed computing environments, including network concepts, operating systems, transaction management, and time coordination — with emphasis on the design requirements of distributed information systems.

Information Technology Governance

Covers the governance of IT systems with a focus on security policy, risk mitigation, regulatory compliance, disaster recovery planning, and the development of strategic IT plans for organisations.

Information Technology Risk Management

Introduces students to risk frameworks and methodologies used to identify and manage risks associated with IT adoption and use within organisations. Students examine risk from multiple organisational perspectives.

Expert Systems

Explores the design and application of rule-based, fuzzy, and machine learning expert systems. Students gain hands-on experience with expert system development tools and apply their knowledge to practical problems.

Enterprise Architecture

Introduces enterprise architecture concepts and modelling tools, enabling students to design integrated IT environments aligned with business strategy. Coverage spans business, information, application, and infrastructure architectures.

• A relevant bachelor’s degree with at least a strong pass from a recognised institution of higher learning in Information Systems, Computer Science, or an equivalent qualification.
• Shortlisted candidates may be called for an interview.