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

  • DeadlineStudy Details:

    MSc: 2 years full-time with placement option

Course Description

Develop a strong foundation in the theory and practice of data science and specialist skills in statistics ready 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.

Who is this course for?

This course is designed for graduates in highly numerate disciplines who are interested in a career in the healthcare industry and would like to build on a foundational knowledge of statistics and develop skills in machine learning and data science. It provides training in programming, machine learning and applied statistics that will give you the skills and knowledge to challenge real-world health data using more advanced analytical techniques.

Course highlights

  • Learn strong statistical foundations of relevance to healthcare analytics.
  • Gain expertise in statistical and probabilistic modelling, including the design, collection, analysis and presentation of health data.
  • Study the mathematical theory and practical implementation of modern data science and machine learning techniques.
  • 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 subject 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.

Find out more

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

Year 1

Semester 1

Compulsory units

  • Foundations and applications of machine learning
  • Programming for data science
  • Statistical modelling
  • Statistics and data science for health
  • Statistics for data science

Semester 2

Compulsory units

  • Applied statistics
  • Bayesian data analysis
  • Foundations and applications of machine learning
  • Research project preparation
  • Statistical design of investigations
  • Statistics and data science for health

Summer

Compulsory units

  • Dissertation

Year 2

Semester 1

Compulsory units

  • Professional placement

Semester 2

Compulsory units

  • Professional placement

Find out more and apply

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