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MSci Data Science (with a year in industry)

University of York

About this course

MSci (Hons) Data Science (with a year in industry), a computer science degree focusing on computational, statistical and mathematical methods for information analysis. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Artificial Intelligence & Machine Learning. The programme incorporates a year-long professional industry placement. The first year covers fundamentals through Software 1: Foundations of Programming for Computer Science, Introduction to Probability and Statistics, Foundations and Calculus, and DATA: Introduction to Data Science. The second year progresses with Systems and Devices 2: Operating Systems, Security, and Networking, Engineering 1: Software and Systems Engineering, Probability and Markov Chains, and Intelligent Systems: Machine Learning and Optimisation. Fourth-year studies encompass Computer Science project, MMath group project, Governance of Data Science, and Cloud Based Data Analysis. The final fifth year involves advanced research through Advanced Project: Computer Science, Extended Independent Project: Mathematics, High-Integrity Systems Engineering, and Computational Finance with Python.

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.

Institution
University of York
Level
undergraduate
Subject
Data Science (with a year in industry)
Duration
5 years
UCAS code
G203
Typical offer
A-level A*AA, IB 37
Median salary
£53,500 after 5 years

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

See the highest paying Computer Science degrees in the UK →

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
  • Computer Science project
  • MMath group project
  • 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
  • Advanced Project: 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 (with a year in industry) 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 (with a year in industry) 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 (with a year in industry) 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 (with a year in industry) 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 (with a year in industry) at University of York include a placement year or year abroad?

The course has a compulsory placement year.

How many students continue on MSci Data Science (with a year in industry) at University of York?

94% of students continued into their second year, and 2% left higher education.