MSc Statistics with Financial Mathematics

School of Mathematics and Statistics, Faculty of Science

We use mathematics and statistics to solve real-world problems. Our academics work with industry, business and the public sector.

Pure and applied mathematics are thriving at Sheffield. Our friendly, informal style and our commitment to breaking new ground, attracts some of the best minds in the world.

We work closely with some of the world's leading names in finance, engineering, energy and medicine to find new ways of tackling some very big challenges.

About the course

Accredited by the Royal Statistical Society

Prepare to be amazed just how relevant your love of maths is. The sheer range of applications for statistics in finance is mind-boggling. And the transferable skills you'll pick up, including problem solving, will make you an asset to any employer.

Graduates with skills in these areas are in demand. The course is about applying probabilistic, statistical and mathematical techniques in the finance industry.

It's based on the MSc in Statistics with additional training in the concepts, models and tools of modern mathematical finance.

Our MSc is accredited by the Royal Statistical Society. It will teach you how to think and act like a professional.

Core modules

  • Data Analysis
  • Statistical Laboratory
  • Linear Models
  • Inference
  • Introductory Mathematical, Dependent Data
  • Stochastic Processes and Finance


  • Lectures
  • Tutorials
  • Computing sessions
  • Group work
  • Student presentations
  • Role-play

The distance learning option is taught online and uses:

  • Email and phone support
  • Residential weeks at the University


  • Exams
  • Project work
  • Dissertation

Apply now

Swarna Khare, postgraduate students in the Department of Mathematics and Statistics

I'm in a position now where I feel I can do whatever I want with the coming years. For someone formerly in the rat-race, it's a truly liberating feeling.

Kristian Brock, postgraduate student in School of Mathematics and Statistics

Key facts

Course duration

  • 1 year full-time
  • 2-3 years part-time by distance learning

Entry requirements

Minimum 2:1 honours degree in mathematics, which must include a significant proportion of modern theorem and proof-based mathematics. A strong performance in a module based on rigorous mathematical analysis is essential. Your degree must also include a substantial component in statistics and probability theory.

English language requirements

Overall IELTS grade of 6.5 with a minimum of 6.0 in each component, or equivalent.

Entry requirements for international students

Fees and funding

You may be able to get funding from the University or an external company. Course-specific studentships may also be available. You should apply for these as soon as possible.

Financial information for postgraduate taught courses

Your career

Our graduates go into finance, manufacturing and pharmaceuticals. They work for government agencies and research institutes with major organisations such as First Direct, GlaxoSmithKline, Marks and Spencer, the Government Statistical Service and Medical Research Council units. Our courses can also prepare you for PhD-level training.

Different ways to study

You can study full-time over a year or part-time over two to three years via online distance learning.

About us

Our academics are in demand. They are members of international societies and organisations, and they speak at conferences around the world. They bring new ideas into the classroom so you can see how research is improving on existing approaches.

Our solar scientists were the first to record musical sounds created by vibrations in the sun's atmosphere.

Our Statistical Services Unit works with industry, commerce and the public sector. The services they provide include consultancy, training courses and computer software development.

Apply now

You can apply for postgraduate study using our Postgraduate Online Application Form. It is a quick and easy process.

Postgraduate Online Application Form

Any questions?

If you'd like to know more about any aspect of our courses, contact us:

T: +44 (0)114 222 3808