Master of Data Science
A postgraduate programme combining mathematics, statistics and computer science to extract insights from complex data through machine learning, visualisation and predictive analytics.
Programme overview
The Master in Data Science provides students with the analytical, technical, and strategic skills necessary to extract valuable insights from complex data sets and transform them into actionable solutions. The programme combines mathematics, statistics, computer science, and domain-specific knowledge to train professionals who can drive data-informed decision-making.
Students gain hands-on experience in big data systems, machine learning, data visualisation, and predictive analytics, preparing them for leadership roles in a data-driven global economy. Throughout the programme, students work on diverse real-world projects using state-of-the-art tools and technologies.
What you’ll study
01Focus of the educational programme
Students develop expertise in analysing complex data sets, building predictive models, and interpreting results using statistical techniques and computational methods.
- In-depth training in data analysis, modelling, and interpretation
- Application of statistical and computational tools for decision-making
- Business intelligence and algorithmic thinking
02Key focus of the educational programme
The curriculum develops technical fluency alongside governance and ethical awareness.
- Programming and tools: Python, R, SQL, and cloud platforms
- Data mining and predictive modelling
- Data governance and ethical AI
03Programme features
Career-focused learning connects students with industry datasets, labs, and certification pathways.
- Capstone projects with real-world datasets
- Access to data analytics labs and industry mentors
- Career-focused data science bootcamps and certification tracks
Tools & learning resources
- Advanced skills in data analysis, modelling, and visualisation
- Predictive models supporting data-driven decision-making
- Ethical data science, data privacy, and responsible AI
Career opportunities after graduation
- Data Scientist
- Data Engineer
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Strategist
Who can apply?
Admissions will review your academic background and the requirements for your chosen route.
Plan your academic pathway
Discuss your existing qualifications, academic transcripts and preferred study destination. Admissions will confirm the awarding institution, entry criteria, delivery, duration and any credit transfer before you apply.