Description

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

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.

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.

Study Details:

MSc 2 years full-time including placement year

Module Details:

Compulsory course units

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

Semester 1

  • Applied data science
  • Statistics for data science
  • Machine learning 1
  • Software technologies for data science

Semester 2

  • Applied data science
  • Applied Statistics
  • Statistical Design of Investigations
  • Statistical Modelling
  • Research project preparation

Summer (Year 1)

  • Placement

Semester 3

  • Placement

Semester 4

  • Placement

Summer (Year 2)

  • Dissertation

Student Destinations

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.

Fees

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

Entry Requirements

To apply for this course you should have a first or strong second-class undergraduate degree or equivalent international equivalent.

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.

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

Please see our website for how to apply

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Key Information

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University of Bath

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