Mathematics for Data Science MMath

Course structure

In the first two years, the emphasis is on developing a solid foundation of essential knowledge and techniques in mathematics, together with an appreciation of the subject.

You’ll have the option of undertaking a placement year, where you will be able to put the knowledge and skills that you have learned into practice.

In the final two years you will consolidate your learning in your project, supervised by an academic member of staff.

Our mathematics department has SAS Academy status. SAS is one of the largest providers of business analytics software in the world. Academy status gives our students the opportunity to meet SAS customers and their industry partners at careers fairs, to train in skills needed by a wide range of companies and organisations, and to be prepared for SAS certification exams. Through modules with substantial SAS content, students are eligible for the award of a Joint SAS Certificate.

Areas of study 

Fundamentals of pure and applied mathematics are taught alongside topics such as operational research and statistics with a focus on how to apply mathematical techniques to solve specific problems.

Year 1

Modules

• Discrete and Continuous Mathematics

  This module introduces you to basic mathematical culture and fundamental concepts in discrete and continuous mathematics. You will actively engage with the subject by performing an exploration of topics within context and communicating the results using the language of mathematics.

• Linear Algebra and Calculus

  This module introduces abstract concepts of linear algebra and applies them to range of different mathematical problems. Rigorous consideration of elementary examples will allow you to develop your understanding of the general common principles that underlie many real-world applications ranging from solving differential equations to computer graphics.

• Introduction to Statistics

  This module introduces you to statistical and probability concepts and their real-world applications. Software packages such as SPSS and Microsoft Excel will be used to provide you with a grounding in industry appropriate statistical software. You will gain the skills required to apply statistics to real data sets together with the appropriate theory behind the applications.

• Modelling and Mechanics

  This module will develop your understanding of the modelling process in mathematics, and an appreciation of the success of mechanics in modelling the physical world.

• Introduction to Operational Research

  This module provides an introduction to the topic of operational research. The key role of operational research is in the development of models to obtain solutions to practical problems in a variety of contexts. You will analyse classical problems and apply standard operational research techniques.

Year 2

Modules

• Further Calculus
• Linear Mathematics
• Applied Linear Statistical Models
• Numerical Methods
• Analysis and Algebra

Options*

• Operational Research
• Mathematical Methods for Statistical Practice
• Advanced Mechanics

*Option modules are indicative and may change, depending on timetabling and staff availability.

Placement year

The opportunity of a year's placement in industry enables you to explore your career options in a professional environment and build a network of contacts.

Our students have been on placement with companies including British Airwarys, Albion in the Community, Covance, Pfizer, Clarksons and IBM.

Year 3

Options*

• Mathematical Sciences Project
• Mathematics of Finance
• Mathematics Education: Research and Experience
• Numerical Analysis of Partial Differential Equations
• Historical, Social and Philosophical Perspectives on Maths
• Methods of Machine Learning
• Topics in Abstract Algebra
• Graph Theory and Applications
• Optimisation Methods
• Statistical Modelling
• Time Series and Forecasting
• Stochastic Methods
• Complex Analysis

*Option modules are indicative and may change, depending on timetabling and staff availability.

Final year 

Module

• Advanced Data Science Project

Options*

• Machine Learning for Artificial Intelligence
• Topics in Actuarial Mathematics
• Logic and Number Systems
• Introduction to Topology
• Partial Differential Equations: Theory and Solutions
• Medical Statistics
• The Analysis of Time Series
• Stochastic Methods and Algorithms
• Topics in Mathematical Physics
• Data Management
• Data Mining and Knowledge Discovery in Data

*Option modules are indicative and may change, depending on timetabling and staff availability.

International requirements

We can help you meet our English language or academic entry requirements.

Course fees

If you choose to take the professional placement (sandwich) year offered on this course you will pay a reduced fee during this year. Our fee for the professional placement year is £1,230 for home students and £2,060 for international students. This fee may be subject to small increases, in line with inflation.

Included in the course fees: access to university facilities, libraries and equipment relevant to your course.

Info

The fees listed here are for full-time courses beginning in the academic year 2019–20.

Further tuition fees are payable for each subsequent year of study and are subject to an annual increase of no more than 5% or RPI (whichever is the greater). The annual increase for UK/EU students, who are subject to regulated fees, will increase no more than the statutory maximum fee.

You can find out more about our fees in the university's student contract and tuition fee policy (pdf).

The tuition fee you have to pay depends on a number of factors including the kind of course you take, and whether you study full-time or part-time. If you are studying part-time you will normally be charged on a pro rata basis depending on the number of modules you take.

What's included in the fee?

When costs such as health or DBS checks, or use of specialist materials are incurred as a mandatory requirement of the course they are included in your tuition fee.

You may incur additional costs depending on the optional modules or activities you choose. The cost of optional activities is not included in your tuition fee and you will need to meet this cost in addition to your fees. Before you apply check with the school that provides your course using the contact details in the Find out more tab (at the end of this page) for advice about what is included and what optional costs you could face so you can budget accordingly.

See our finance pages for advice about funding and scholarships as well as further information about fees and advice on international and island fee-paying status.

Local area

Campus where this course is taught

Accommodation

Maps

Accommodation

University building

Moulsecoomb campus map