MSci Mathematics and Data Science

at University of Exeter

The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.

Year 1

First year modules introduce you to the fundamental technical and professional skills needed to understand and engage with machine learning, artificial intelligence and data science. You will learn core knowledge and practical skills relating to data structures and algorithms that are commonly applied in this topic area.
 

• Programming
• Object-Oriented Programming
• Mathematical Methods
• Probability, Statistics and Data
• Fundamentals of Machine Learning
• Data Science Group Project 1
• Foundations

Year 2

Second year compulsory modules further develop your knowledge of computational intelligence, data science in society and software development, giving you a broader skill set to continue on to your final year.
 

• Differential Equations
• Vector Calculus and Applications
• Statistical Modelling and Inference
• Machine Learning and Data Science
• Data Science in Society
• Data Science Group Project 2

Year 3

In your final year you’ll choose from advanced modules in a wide range of topics. Industry-linked projects also take place and work placement opportunities are recommended. This variety of learning gives you practical experience and the confidence to conduct individual research, applying your expertise to solve real mathematical problems and find computing solutions.
 

• Data Science at Scale    
• Data Science Individual Project 1    
• Machine Learning and AI    

Final year

In your final year you’ll complete two major projects, one as a group and one individually, giving you the freedom to investigate a subject of your choosing. These projects will often be based on real-world applications data. Your fourth year will also give you access to a number of advanced topics not available on the BSc including modelling of climate systems, chaos and space weather.
 

• Data Science MSci Group Project
• Data Science MSci Individual Project    

A-Level
 

• AAA
• GCE AL Maths grade A Candidates may offer GCE AL Maths, Pure Maths or Further Maths.

IB
 

• 36/666
• HL6 in Mathematics (Analysis and Approaches)

BTEC
 

• DDD
• Applicants studying a BTEC Extended Diploma will also require GCE AL Maths grade A

Access to HE
 

• 30 L3 credits at Distinction Grade and 15 L3 credits at Merit grade
• 15 L3 credits at Distinction Grade in an acceptable Mathematics subject area

Contextual Offer
 

• A-Level: ABB
• IB: 32/655
• BTEC: DDM

• UK students: £9,250 per year
• International students: £22,500 per year

The broad-based skills acquired during your degree will give you an excellent grounding for a wide variety of careers, not only those related to Mathematics but also in wider fields. Examples of roles recent graduates are now working as include:
 

• Accountant
• Actuary
• Analyst Programmer
• Business Analyst
• Credit Risk Analyst
• Data Science Developer
• Investment Analyst
• Software Engineer
• Statistician
• Tax Manager