- Duration
- 2 years
- Entry requirements
- Recognised prior qualification; exact subject and minimum-mark requirements depend on the selected programme.
- Study format
- Online learning with scheduled teaching and self-study resources.
- Assessment
- Online proctored examinations, with university assessment rules.
What you will study
Examples from the named pathways below. These are not compulsory subjects shared by every variant of this degree.
- Machine Learning
- Big Data Analytics
- Computer Vision
- Econometrics
- Financial Modelling
- Topology
- Functional Analysis
- Differential Equations
Subjects and pathways within this degree
Data Science
Connect statistical reasoning with computational methods for analysing large and complex datasets.
- Machine Learning
- Big Data Analytics
- Computer Vision
Business Analytics
Use analytical methods to investigate business questions and communicate evidence for organisational decisions.
Biostatistics
Apply statistical methods to health and biomedical questions, including clinical research and the design of studies.
Financial Economics
Connect economics and finance with quantitative analysis, including modelling and modern financial technology.
- Econometrics
- Financial Modelling
Mathematics
Study advanced mathematical ideas with theoretical and applied pathways. A compatible pen tablet is required for relevant assignments and exams.
- Topology
- Functional Analysis
- Differential Equations
Make the degree work for your goals
For graduates whose previous subjects match the programme’s requirements and who are comfortable with the expected quantitative or technical workload.
- Quantitative reasoning
- Scientific interpretation
- Technical problem-solving
- Research documentation
Choose a mathematical investigation or data-analysis exercise suited to your background. Record assumptions, methods and limitations clearly.
Your learning and assessment experience
Online learning with scheduled teaching and self-study resources.
Academic and technical support through the university learning system.
Online proctored examinations, with university assessment rules.
Where this learning can take you
- Analytics
- Research
- Further study
These are possible areas to explore, rather than promised placements or salaries. Your practical skills, previous experience and any additional professional requirements matter.
Plan the full commitment.
Talk through tuition, examination charges and instalment or EMI options for your chosen programme. Financing eligibility and provider terms apply.
From shortlist to application
- Choose the exact degree and subject pathway that match your goals.
- Match your qualifications to the programme’s entry requirements.
- Review the full fee quotation, academic calendar and refund terms.
- Use the university’s application process to submit documents and retain your admission confirmation.
Questions about this choice
What will I study in Online M.Sc?+
Choose a separate science degree in a quantitative or analytical field. Entry requirements differ substantially across these subjects.
How should I plan study around work?+
Online learning with scheduled teaching and self-study resources. Reserve regular time for independent study and assessments, and compare the academic calendar with your working week.
Does career support guarantee a job?+
No. Use career services to prepare applications, practise interviews and build evidence of your skills. Employers make hiring decisions.
