MSci Data Science
About this course
MSci (Hons) Data Science is an undergraduate computer science degree focused on computational and mathematical methods for information management. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The programme includes a substantial final-year project and offers an optional placement year in industry. The first year establishes core foundations through modules such as Software 1: Foundations of Programming for Computer Science, Introduction to Probability and Statistics, and Foundations and Calculus. The second year expands into technical methods through Software and Systems Engineering, Probability and Markov Chains, and Intelligent Systems: Machine Learning and Optimisation. The third year advances into specialist areas with Cloud Based Data Analysis, Autonomous Robots, and Deep Learning. The final fourth year features advanced study alongside options such as High-Integrity Systems Engineering and Computational Finance with Python, culminating in major independent project work.
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: A*AA including Mathematics. If you are studying towards a fourth A level, we will make an alternative offer of AAAA including Mathematics. IB: 37 points overall, including grade 6 in Higher Level Mathematics (either Analysis and Approaches or Applications and Interpretations). BTEC: DDD plus grade A in A level Mathematics (or equivalent qualification) We consider a range of BTEC qualifications equivalent to 3 A Levels, or in combination with A Levels or other qualifications. For example: Distinction, Distinction in BTEC Level 3 National Diploma plus A in A Level Mathematics Distinction in BTEC Level 3 National Extended Certificate plus AA at A level including Mathematics Distinction, Distinction in 2 BTEC Level 3 National Extended Certificates plus A in A Level Mathematics
What students say
Based on about 80 final-year students who answered, across similar courses at this university
- Teaching on my course: 83%
- Learning opportunities: 75%
- Assessment and feedback: 70%
- Academic support: 90%
- Organisation and management: 81%
- Learning resources: 92%
- Student voice: 74%
Do students stay on the course?
Based on about 190 students who started, across similar courses at this university
- Continued on course: 94%
- Left higher education: 2%
- Moved to a lower qualification: 3%
What graduates do next
Based on about 45 graduates who answered, across similar courses at this university
- Working: 84%
- Working and studying: 1%
- Further study: 5%
- Unemployed: 5%
Most common jobs
- Information Technology Professionals: 66%
- Teaching Professionals: 6%
- Business and public service associate professionals: 6%
- Elementary occupations: 3%
- Science, engineering and technology associate professionals: 3%
- Find their work meaningful: 75%
- Feel on track for their future plans: 90%
- Use what they learnt on the course: 75%
Where graduates work (5 years on)
Based on about 110 graduates, across similar courses at this university
- North East: 1%
- North West: 10%
- Yorkshire and the Humber: 26%
- East Midlands: 5%
- West Midlands: 2%
- East of England: 14%
- London: 21%
- South East: 14%
- South West: 5%
- Scotland: 2%
Who gets in
Based on about 280 students who started, across similar courses at this university
- A levels: 97%
- Other HE qualification: 1%
- Other qualifications: 2%
Accreditation & quality ratings
TEF 2023 (whole university): Gold overall, Gold for student experience, Silver for student outcomes.
Modules
- Software 1: Foundations of Programming for Computer Science
- Introduction to Probability and Statistics
- Foundations and Calculus
- Software 2: Object Oriented Data Structures and Algorithms
- DATA: Introduction to Data Science
- Multivariable Calculus and Matrices
- Systems and Devices 2: Operating Systems, Security, and Networking
- Engineering 1: Software and Systems Engineering
- Probability and Markov Chains
- Intelligent Systems: Machine Learning and Optimisation
- Linear Algebra
- Statistical Inference and Linear Models
- Governance of Data Science
- Cloud Based Data Analysis
- AI Search and Logic
- Autonomous Robots
- Cryptography Theory and Practice
- Cryptography
- Engineering 2: Automated Software Engineering
- Deep Learning
- Interaction Design and Evaluation
- Qualitative Approaches to Investigating UX
- Quantum Computation
- Decision Theory and Bayesian Statistics
- Survival Analysis and Generalised Linear Models
- Mathematical Finance in Continuous Time
- Mathematical Finance in Discrete Time
- Advanced Regression and Multivariate Analysis
- Numerical Analysis
- Operations Research
- Statistical Data Science
- Time Series
- Engineering LLM-Based Agents and Applications
- Large Language Models
- Natural Language Processing
- Project: Mathematics & Computer Science
- Extended Independent Project: Mathematics
- AI Search and Logic
- Autonomous Robots
- Cryptography Theory and Practice
- Engineering 2: Automated Software Engineering
- High-Integrity Systems Engineering
- Deep Learning
- Interaction Design and Evaluation
- Qualitative Approaches to Investigating UX
- Quantum Computation
- Computational Finance with Python
- Decision Theory and Bayesian Statistics
- Survival Analysis and Generalised Linear Models
- Mathematical Finance in Discrete Time
- Mathematical Methods of Finance
- Advanced Regression and Multivariate Analysis
- Statistical Data Science
Questions about this course
How much do graduates of MSci Data Science at University of York earn?
The median salary is £38,000 after 15 months, £40,000 after 3 years, £53,500 after 5 years. After five years the middle half of graduates earn between £40,000 and £70,000. The £53,500 median after five years is £17,500 more than the UK median for Computer science.
What do graduates of MSci Data Science at University of York do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MSci Data Science at University of York?
83% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MSci Data Science at University of York?
The typical offer is A*AA at A level, or 37 points in the IB. The average entrant had 153 UCAS points.
Does MSci Data Science at University of York 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 University of York?
94% of students continued into their second year, and 2% left higher education.