BSc Data Science with Year of Professional Experience
About this course
BSc in Data Science with Year of Professional Experience, a four-year undergraduate degree combining core training in computational techniques, statistical analysis, and algorithmic problem-solving. Core topics include Programming, Systems Design, Data Analysis, Statistics, Mathematical Modelling, Ethics & Professional Practice, Human Behaviour, and Artificial Intelligence & Machine Learning. The programme includes a compulsory professional placement year in the third year of study. Year one establishes foundational knowledge through Introduction to Probability & Statistics, Object Oriented Programming, Procedural Programming, and Introduction to Algebra and Analysis alongside Data Driven Systems. The second year advances core technical capabilities via Statistical Inference, Data Structures and Algorithms, Theory of Computation, and Introduction to Artificial Intelligence and Machine Learning. The third year consists of a compulsory Year of Professional Experience in a commercial context. The final year centres on a substantial Computer Science Project alongside advanced compulsory study in Deep Learning and Video Analytics and Machine Learning. Optional modules allow specialisation in areas such as Concurrent Programming, Stochastic Processes and Risk, Malware Analysis, Cloud Computing, Fairness, Interpretability and Privacy in Machine Learning, Linear Models, Financial Mathematics, Information Theory and Biodiversity, and Bayesian Statistics.
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-level: A (Mathematics) AB including at least one from Computing/Software Systems Development (not both), Physics, Biology, Chemistry, Digital Technology, Technology and Design, Electronics, Further Mathematics or Double Award Life & Health Sciences or A-level: A* (Mathematics) BB including at least one from Computing/Software Systems Development (not both), Physics, Biology, Chemistry, Digital Technology, Technology and Design, Electronics, Further Mathematics or Double Award Life & Health Sciences IB: 34 points overall including 6 (Mathematics) at Higher Level plus 6,5 including at least one from Computer Science, Physics, Biology or Chemistry at Higher Level. If not offered at Higher Level/GCSE then Standard Level grade 4 in English would be accepted.
What students say
Based on about 28 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 83%
- Learning opportunities: 83%
- Assessment and feedback: 82%
- Academic support: 92%
- Organisation and management: 74%
- Learning resources: 94%
- Student voice: 73%
Do students stay on the course?
Based on about 115 students who started, across similar courses at this university
- Continued on course: 94%
- Left higher education: 6%
What graduates do next
Based on about 21 graduates who answered, across similar courses at this university (a small group: a rough guide only)
- Working: 65%
- Working and studying: 10%
- Further study: 15%
- Unemployed: 5%
Most common jobs
- Finance Professionals: 25%
- Administrative occupations: 15%
- Information Technology Professionals: 15%
- Teaching Professionals: 10%
- Business, Research and Administrative Professionals: 10%
- Find their work meaningful: 95%
- Feel on track for their future plans: 75%
- Use what they learnt on the course: 55%
Who gets in
Based on about 110 students who started, across similar courses at this university
- A levels: 95%
- Access course: 2%
- Other HE qualification: 2%
Modules
- Introduction to Probability & Statistics
- Object Oriented Programming
- Procedural Programming
- Introduction to Algebra and Analysis
- Data Driven Systems
- Statistical Inference
- Data Structures and Algorithms
- Theory of Computation
- Introduction to Artificial Intelligence and Machine Learning
- Linear Algebra
- Professional and Transferrable Skills
- Year of Professional Experience
- Computer Science Project
- Deep Learning
- Video Analytics and Machine Learning
- Concurrent Programming
- Stochastic Processes and Risk
- Malware Analysis
- Cloud Computing
- Fairness, Interpretability and Privacy in Machine Learning
- Linear Models
- Financial Mathematics
- Information Theory and Biodiversity
- Bayesian Statistics
Questions about this course
How much do graduates of BSc Data Science with Year of Professional Experience at Queen's University Belfast earn?
The median salary is £32,500 after 15 months. After fifteen months the middle half of graduates earn between £28,000 and £36,000. The £32,500 median after fifteen months is £500 more than the UK median for Mathematics.
What do graduates of BSc Data Science with Year of Professional Experience at Queen's University Belfast do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on BSc Data Science with Year of Professional Experience at Queen's University Belfast?
83% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Data Science with Year of Professional Experience at Queen's University Belfast?
The typical offer is A at A level, or 34 points in the IB. The average entrant had 175 UCAS points.
Does BSc Data Science with Year of Professional Experience at Queen's University Belfast include a placement year or year abroad?
The course has a compulsory placement year.
How many students continue on BSc Data Science with Year of Professional Experience at Queen's University Belfast?
94% of students continued into their second year, and 6% left higher education.