MSc Statistics with Medical Applications

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.

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, MSc Statistics with Financial Mathematics

About the course

September 2016 start

Course description 2016

Accredited by the Royal Statistical Society

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

This new course - based on the MSc in Statistics with additional training in specialist areas of medical applications - is run in conjunction with the Medical Statistics Group in the University's School of Health and Related Research (ScHARR).

Accredited by the Royal Statistical Society, it provides professional training for a career in the medical, pharmaceutical and health services industries.

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

Core modules

  • Data Analysis
  • Statistical Laboratory
  • Linear Models
  • Epidemiological Methods and Time Series
  • Bayesian Inference and Further Clinical Trials
  • Sampling, Design and Medical Statistics

Teaching

  • 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

Assessment

  • Exams
  • Project work
  • Dissertation

Course duration

  • 1 year full-time
  • 2-3 years part-time by distance learning
September 2017 start

Course description 2017

This new course is run in conjunction with the Medical Statistics Group in the University’s School of Health and Related Research (ScHARR). Accredited by the Royal Statistical Society, it provides professional training for a career in the medical, pharmaceutical and health services industries.

The course is based on the MSc Statistics with additional training in specialist areas of medical applications.

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

Core modules

  • Data Analysis
  • Statistical Laboratory
  • Linear Models
  • Epidemiological Methods and Time Series
  • Bayesian Inference and Further Clinical Trials
  • Sampling, Design and Medical Statistics

Teaching and assessment

There are lectures, tutorials and computing sessions. You’ll do group work, presentations and role play. Most statistics lectures are recorded so you can watch them again later.

The distance learning option is taught online with support via email and phone. Distance learners also come to the University for residential weeks. You’re assessed by exams, project work and a dissertation.

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

Apply now

Fees and funding

Financial information for postgraduate taught courses

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.

Apply now

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

Apply now

Any questions?

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

E: postgrad-maths@sheffield.ac.uk
T: +44 (0)114 222 3808

 The course information set out here may change before you begin, particularly if you are applying significantly in advance of the start date.