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Data Science and Statistics (Health) – 2 years with professional placement

  • DeadlineStudy Details:

    MSc: 2 years full-time with placement option

Course Description

Develop a strong mathematical foundation in data science and statistics together with specialist knowledge for a career in the global healthcare industry.

Data science, statistics and machine learning are revolutionising healthcare. These methodologies are improving our understanding of disease cause and progression, influencing clinical and governmental decision-making, and rapidly becoming vital components of the modern healthcare system.

This course will equip you with the analytic skills sought after by employers such as pharmaceutical companies, hospitals and healthcare analytics companies. You’ll study the fundamentals of data science, machine learning, statistics and statistical modelling, alongside programming in both Python and R. You’ll gain extensive practical experience of how to interpret, analyse and evaluate data in healthcare applications through a bespoke year-long unit in Data Science and Statistics for Health and a summer research project.

Course highlights

  • Stand out when applying for jobs by gaining a strong foundation in both data science and statistics, opening up a wide range of careers in healthcare and other sectors.
  • Benefit from multi-departmental expertise to ensure you’re up to date with the latest advances in the field.
  • Undertake an intensive research project in collaboration with academics engaged in health-related research.
  • Undertake an optional 12-month placement with a company or public sector body, to improve your employability.
  • Be part of our supportive postgraduate community.
  • Live and study in a beautiful world heritage city.
Watch the MSc Data Science and Statistics (Health) Video

Entry Requirements

You should have a first or strong second-class undergraduate degree or equivalent international equivalent.

To apply for this course, your undergraduate degree should be in a programme that incorporates a substantial mathematical element such as mathematics, statistics, computer science, physics, chemistry, engineering or economics. Experience of computer programming would also be advantageous.

We will also consider other subjects, for example geography or biology, which may meet the criteria depending on their specific mathematical and computing content.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

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Fees

For fees and funding options, please visit the website to find out more

Student Destinations

On graduation, you’ll be well-equipped for a range of specialist data science and statistics careers in healthcare – from large-scale commercial enterprises to the public sector to innovative tech start-ups. Our dedicated careers team offers individual guidance and can help you decide between employment and further study.

Recent roles for graduates from our department include health data scientist, biostatistician and machine learning engineer.

Module Details

Compulsory course units

These compulsory units are currently being studied by our students, or are proposed new units.

Year 1

Semester 1

  • Applied machine learning
  • Programming for data science
  • Statistics for data science
  • Data science and statistics for health

Semester 2

  • Applied statistics
  • Statistical design of investigations
  • Statistical modelling
  • Research project preparation
  • Data science and statistics for health

Summer

  • Placement

Year 2

Semester 1

  • Placement

Semester 2

  • Placement

Summer

  • Dissertation

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