Taught course

Statistics and Data Science (Health)

Institution
University of Bath · Department of Mathematical Sciences
Qualifications
MScMSc including professional placement
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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.

Before you apply, please check the University of Bath website for the most recently published entry requirements.

Months of entry

September

Course content

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. It 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.

Optional professional placement

This course gives you the option of extending your course by a year to go on a placement.

Going on placement gives you the opportunity to apply your skills and knowledge working in industry. You’ll be employed full-time in a role to match your future career ambitions, broadening your experience and transferable skills. We have links with companies of all sizes from household names to start-ups.

Fees and funding

UK students
13,600
International students
29,700

Find out about funding opportunities at the University of Bath

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
  • MSc including professional placement
    full time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Admissions
Email
pgtadmissions@bath.ac.uk
Phone
+44 (0)1225 385115
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