BSc Artificial Intelligence and Data Science
About this course
BSc (Hons) in Mathematics, combining mathematical foundations with data science and artificial intelligence. Core topics include Statistical Methods for Data Analysis, Mathematical Modelling, Artificial Intelligence & Machine Learning, Programming, Data Analysis, and Research Methods. Students may undertake an optional placement year between years two and three, and complete an independent project in their final year allowing selection from staff-proposed topics or student-generated ideas.
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
UCAS tariff: 120 A level: BBB (At least a grade B in Mathematics (or equivalent qualification)) T Level: Merit BTEC: DDM GCSE: GCSE Maths and English Grade 4/Grade C (or above) or equivalent qualification Access to HE: Pass Access to HE Diploma with 60 credits: 45 at Level 3 with a minimum of Distinction: 15, Merit: 24, Pass: 6. English language: IELTS: 6.0 (with at least 5.5 in each skills area)
What students say
Based on about 18 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 79%
- Learning opportunities: 81%
- Assessment and feedback: 71%
- Academic support: 80%
- Organisation and management: 56%
- Learning resources: 76%
- Student voice: 70%
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: 55%
- Gained a higher qualification: 5%
- Left higher education: 40%
Where graduates work (5 years on)
Based on about 50 graduates, across similar courses at this university
- North West: 5%
- Yorkshire and the Humber: 5%
- East Midlands: 50%
- West Midlands: 15%
- East of England: 10%
- South East: 5%
- Northern Ireland: 5%
Who gets in
Based on about 10 students who started, across similar courses at this university (a small group: a rough guide only)
- A levels: 95%
- Access course: 5%
Accreditation & quality ratings
TEF 2023 (whole university): Gold overall, Gold for student experience, Silver for student outcomes.
Modules
- Professional Practice
- Logic and Discrete Mathematics
- Introduction to Probability and Statistics
- Calculus
- Programming
- Introduction to Data Science and Modelling
- Professional Work Skills
- Legal, Ethical and Sustainability Issues
- Team Project
- Linear Algebra
- Statistical Methods for Data Analysis
- Introduction to Machine Learning
- Operational Research
- Statistical Modelling
- Frontiers in Artificial Intelligence and Data Science
- Individual Project
- Optimisation techniques
- Advanced analytics
Questions about this course
How much do graduates of BSc Artificial Intelligence and Data Science at University of Derby earn?
The median salary is £26,000 after 3 years, £32,500 after 5 years. After five years the middle half of graduates earn between £26,500 and £38,500. The £32,500 median after five years is £7,000 less than the UK median for Mathematics.
Are students happy with the teaching on BSc Artificial Intelligence and Data Science at University of Derby?
79% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Artificial Intelligence and Data Science at University of Derby?
The typical offer is BBB at A level. The average entrant had 90 UCAS points.
Does BSc Artificial Intelligence and Data Science at University of Derby include a placement year or year abroad?
The course has an optional placement year and an optional year abroad.
How many students continue on BSc Artificial Intelligence and Data Science at University of Derby?
55% of students continued into their second year, and 40% left higher education.