Statistics and Data Science MSc

Ready to build the expertise you need to tackle some of the world’s most complex data challenges?

In a world increasingly powered by data, organisations need professionals who can turn information into insight and insight into action. This course will equip you with the statistical, analytical and computational skills needed to solve complex problems, uncover opportunities and make confident, evidence-based decisions across a wide range of industries.

Combining advanced statistics, machine learning and data science, you'll learn how to analyse complex datasets, develop predictive models and apply innovative techniques to real-world challenges.

Whether your ambition is to join a global organisation, a pioneering technology company or a ground-breaking start-up, you'll graduate with the skills, confidence and experience to launch a successful career as a data scientist, machine learning specialist or analytics professional.

Course highlights

* Gain expertise in statistical and probabilistic modelling, including the design, collection, analysis and presentation of data.

* Learn in a department where 98% of research outputs were ranked as ‘world-leading’ or ‘internationally excellent’ - Research Excellence Framework (REF2021).

* Have access to our High-Performance Computing Cluster, Balena.

* Have the option to broaden your experience and apply your skills in an industry setting, with a professional placement.

* Study at a consistently ranked Top 10 University (The Guardian, Complete University Guide, The Times and The Sunday Times) on a course designed in consultation with clinical and industrial partners to give you the skills sought after by employers.

* Live and study in a beautiful world heritage city.

Summer research project

For your summer research project, you will be supported to undertake an in-depth investigation into the application of mathematics or data science to a problem of importance in various industrial sectors, such as agriculture, energy, finance, healthcare, manufacturing, and others.

Research expertise in the department allows for a wide-range of subjects for your final project at the end of the course. Recent examples include:

* Deep learning in high frequency financial trading

* Spatiotemporal timing prediction for public transport

* Wastewater-based epidemiology

Career prospects

After graduating, you'll be well placed for a variety of careers in data science - from large-scale commercial enterprises, to innovative tech start-ups. Alongside the specialist skills and knowledge you'll gain, our dedicated careers team offers individual guidance and help you decide between employment and further study.

Recent graduate roles include data scientists and machine learning developers.