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Mathematics with Data Science

1 Study option · UndergraduateMain Site

Course summary

95% of our research overall in Mathematical Sciences was assessed to be world leading or internationally excellent (REF 2021)

About the course

Machine learning and data science are all around us. The need for people who can collate and interpret complex data has never been greater. This integrated Masters course will give you the skills to solve data-intensive problems. It is particularly relevant if you are interested in a research career.

You’ll explore the relationships between mathematics, data and statistics and gain a thorough grounding in theories and techniques. You’ll apply mathematical algorithms for the analysis, interpretation and visualisation of large data-sets, using real-world data.

In your mathematics modules you’ll learn the theory that forms the basis of modern data science. You’ll put this theory into practice in your data science modules. All modules are based on the latest research. Our faculty are experts in this exciting field. Their research is having significant impact in areas such as:

  • smart materials

  • artificial intelligence

  • infectious disease control.

You’ll develop analytical and modelling skills, using industry-standard software such as Python and R. During your fourth year you’ll gain further skills and apply them to an advanced research project.

By graduation you’ll have necessary skills to become a capable quantitative scientist. Career options include roles in:

  • the financial services

  • information and digital technology

  • research.

You’ll be part of a close-knit, friendly department. Our lecturers take the time to get to know you. They operate an open-door policy, so you’ll always find support if you need it.

MMath or BSc?

We also offer this course as a three-year BSc.

Accreditation

This programme is accredited to meet the educational requirements of the Chartered Mathematician designation awarded by the Institute of Mathematics and its Applications.

Location

Study on our beautiful, green campus on the edge of the South Downs National Park and just minutes from the vibrant seaside city of Brighton & Hove. We’re near to Gatwick airport and just over an hour from London.

About the University of Sussex

Our courses, research, culture and campus aim to stimulate, excite and challenge. From scientific discovery to global policy, from student welfare to career development, Sussex innovates and takes a lead. And today, in every part of society and across the world, you'll find someone from Sussex making an original and valuable contribution.

How to apply

Application codes

Course code:
G1G7
Institution code:
S90

Open days

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

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