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    MSc 1 year full-time

Course Description

Advances in computer science allow us to collect and store more data than ever before. However, making sense of all of this data is a challenge. Our MSc in Data Science will give you the skills to address these challenges through the use of computation.

How do we use algorithms responsibly, ethically and legally? How do we visualise the results? In the very near future, most commercial and governmental organisations will depend on their ability to meet these challenges.

This Data Science Masters/MSc has been designed to get people from a variety of academic backgrounds up to speed with the state-of-the-art in data science. You'll learn programming and data management skills so that you can collect and manipulate data, advanced techniques for analysing and revealing patterns in data, and visualisation skills so that you can turn large data sets into something decision-makers can make sense of.

Entry Requirements

2:1 Honours degree in any subject plus Grade A (or above) in A Level Mathematics or equivalent (if your first degree is not Mathematics). Please upload evidence of this at the point of making your application.  We cannot consider your application without this. 

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Fees

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

Programme Funding

The University of Birmingham is offering AI and Data Science Masters Scholarships in 2024-2025 for nine Masters programmes to upskill students from under-represented backgrounds to progress into the AI and Data Science workforce.

This will include over 100 students from under-represented groups, particularly women, Black and disabled students and those from low-socioeconomic backgrounds, who will each be supported by a £10,000 scholarship.

Scholarship funding will be prioritised for women, Black students, disabled students and those from lower socioeconomic backgrounds, to ensure that AI reflects the makeup of our society. Funding is intended only for those under-represented students who meet the eligibility criteria.

Student Destinations

Our graduates find themselves in a variety of environments within academia, research, industry, government and private organisations. The following is a short list of research and vocational areas:

  • Software Engineering: developing methods for producing software systems on time, within budget and with few or no defects
  • Software Applications: applying computing and technology to solving problems outside the computer field, eg, in education or medicine
  • Computer/Cyber Security: covers all the processes and mechanisms by which computer-based equipment, information and services are protected from unintended and unauthorised access, change or destruction
  • Artificial Intelligence: developing computers that simulate human learning and reasoning ability
  • Information Technology: developing and managing information systems that support a business or organisation
  • Theoretical Computer Science: investigating the fundamental theories of how computers solve problems and applying the results to other areas of computer science
  • Operating Systems and Networks: developing the basic software computers use to organise themselves or to communicate with other computers

Module Details

  • Algorithms for Data Science - 20 credits
  • Current Topics in Data Science - 20 credits
  • Data Science Group Project - 20 credits
  • Programming for Data Science - 20 credits
  • Data Science Project - 60 credits
  • Storing and Managing Data - 20 credits
  • Visualisation - 20 credits

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