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  • DeadlineStudy Details: MSc 1 year full-time

Course Description

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

Data science is vital to the global economy and scientific progress across numerous fields from bioscience, to energy and telecommunications. We'll provide you with the practical tools and mathematical foundations to standout to industry experts.

Who is this course for?

This course is designed for graduates in highly numerate disciplines who 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 data using more advanced analytical techniques.

Course highlights

  • Learn strong statistical foundations of universal relevance.
  • Gain expertise in statistical and probabilistic modelling, including the design, collection, analysis and presentation of 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.

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.

If your first language is not English but within the last 2 years you completed your degree in the UK you may be exempt from our English language requirements.

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Fees

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

Student Destinations

After graduating, you'll be well placed for a variety of careers in data science - from large-scale commercial enterprises, to innovative tech start-ups. Alongside the specialist skills and knowledge you'll gain, our dedicated careers team offers individual guidance and help you decide between employment and further study.

Recent graduate roles include data scientists and machine learning developers.

Module Details

Year 1

Semester 1

Compulsory units

  • Applied data science
    10 credits
  • Foundations and applications of machine learning
    10 credits
  • Programming for data science
    10 credits
  • Statistical modelling
    5 credits
  • Statistics for data science
    5 credits

Semester 2

Compulsory units

  • Applied data science
    Continued
  • Applied statistics
    5 credits
  • Bayesian data analysis
    5 credits
  • Foundations and applications of machine learning
    Continued
  • Research project preparation
    5 credits
  • Statistical design of investigations
    5 credits

Summer

Compulsory units

  • Dissertation
    30 credits

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