MSci Data Science /
About this course
MSci in Mathematics, combining data science with artificial intelligence. Core topics include Statistics, Mathematical Modelling, Programming, Artificial Intelligence & Machine Learning, and Data Analysis. An optional placement year is available, and the final year includes an individual research project.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A level: BSc (Hons): BBB to include Mathematics at grade B or above. Excludes General Studies. MSci: ABB to include Mathematics at grade B or above. Excludes General Studies. IB: BSc (Hons): 29 points to include 5 points in Mathematics at Higher Level. MSci: 31 points to include 5 points in Mathematics at Higher Level.
Do students stay on the course?
Based on about 20 students who started, across similar courses at this university (a small group: a rough guide only)
- Continued on course: 60%
- Left higher education: 35%
- Moved to a lower qualification: 5%
What graduates do next
Based on about 12 graduates who answered, across similar courses at this university (a small group: a rough guide only)
- Working: 80%
- Further study: 10%
- Unemployed: 5%
Most common jobs
- Finance Professionals: 15%
- Protective service occupations: 15%
- Elementary occupations: 10%
- Teaching and Childcare Support Occupation: 10%
- Information Technology Professionals: 10%
- Find their work meaningful: 90%
- Feel on track for their future plans: 75%
- Use what they learnt on the course: 30%
Where graduates work (5 years on)
Based on about 80 graduates, across similar courses at this university
- North East: 1%
- North West: 4%
- Yorkshire and the Humber: 4%
- East Midlands: 9%
- West Midlands: 35%
- East of England: 13%
- London: 16%
- South East: 15%
- Wales: 1%
- Scotland: 1%
Who gets in
Based on about 30 students who started, across similar courses at this university
- A levels: 90%
- Other HE qualification: 10%
Accreditation & quality ratings
TEF 2023 (whole university): Gold overall, Gold for student experience, Silver for student outcomes.
Modules
- Algebra and Applications – 30 credits
- Statistics and Data Science – 30 credits
- Calculus and Applications – 30 credits
- Programming and Artificial Intelligence – 30 credits
- Advanced Calculus and Complex Analysis – 30 credits
- Data Modelling and Machine Learning – 30 credits
- Differential Equations and Applications – 30 credits
- Artificial Intelligence Applications – 30 credits
- Optimisation and AI – 30 credits
- Advanced Topics in Statistics – 30 credits
- Mathematics and Data Science Project (Single) – 30 credits
- Optional modules, choose one from the following two modules:
- Machine Learning and Statistical Modelling – 30 credits
- Deep Learning and Computer Vision – 30 credits
- Generative AI and Reinforcement Learning – 30 credits
- The Data Science Professional – 30 credits
Questions about this course
How much do graduates of MSci Data Science / at Coventry University earn?
The median salary is £26,000 after 15 months, £25,500 after 3 years, £31,500 after 5 years. After five years the middle half of graduates earn between £26,000 and £41,000. The £31,500 median after five years is £8,000 less than the UK median for Mathematics.
What do graduates of MSci Data Science / at Coventry University do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
What grades do I need for MSci Data Science / at Coventry University?
The typical offer is BBB at A level, or 29 points in the IB. The average entrant had 106 UCAS points.
Does MSci Data Science / at Coventry University include a placement year or year abroad?
The course has an optional placement year and an optional year abroad.
How many students continue on MSci Data Science / at Coventry University?
60% of students continued into their second year, and 35% left higher education.