Taught course

Data Science and Statistics

Institution
University of Bath · Department of Computer Science
Qualifications
MScMSc including placement year

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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 may be in a programme that incorporates a strong element of both mathematics and computing such as mathematics, computer science, physics, chemistry, engineering or economics. Any such degree programme should have included some non-trivial element of programming instruction.
We will also consider other subjects, for example geography or biology, which might also meet the criteria depending on their specific mathematical and programming content.

Months of entry

September

Course content

Data science is increasingly important to the global economy and is influencing scientific progress across numerous fields from bioscience, to energy and telecommunications. We'll provide you with the tools to become an industry expert with a strong mathematical foundation.

Who is this course for?

This course is designed for graduates who have limited experience of statistics and would like to develop their knowledge in this area. The first semester will give you general programming and machine learning development skills. The second semester is focused on statistics, and will give you the skills and knowledge to challenge real-world data using more advanced analytical techniques.

After graduation you’ll be well placed to progress into a wide variety of careers in data science, from large-scale established commercial enterprises to innovative technology start-ups. You'll also have acquired the essential foundation for further postgraduate study and research within related fields. Recent graduate roles include Data Scientist, Machine Learning Developer, Python Developer and Software Engineer.

Course highlights

  • Work with a dedicated team of computer scientists and mathematicians who have a wealth of experience from their professional backgrounds.
  • Learn strong statistical foundations of universal relevance as well as gaining expertise in statistics and probabilistic modelling, including the design, collection, analysis and presentation of data.
  • Study machine learning techniques and software technologies central to putting this knowledge into practice, addressing the challenges of small and large data sets.
  • Be part of our supportive postgraduate community.
  • Live and study in a beautiful world heritage city.

Optional placement year

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 to a year 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 some of the industry’s leading companies.

Fees and funding

UK students
11,700
International students
26,700

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 placement year
    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