Data Science distance and flexible learning programmes

Our MSc Data Science programmes are developed by the Department of Computing.

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They are designed to address the skills shortage of data scientists who can employ data analytics to drive improvements to organisational performance 

You’ll be able to choose from three different pathways which are the MSc Data Science, the MSc Data Science and Artificial Intelligence or the MSc Data Science and Financial Technology.

Why study with Goldsmiths?

  • Study the mathematical foundations of statistics, data mining and machine learning.
  • Develop your theoretical and computational skills to be able to extract insights from data and conduct data analysis.
  • Equip yourself with the skills to become a leading data science specialist in the modern world where new data is being produced at an unprecedented rate.
  • Learn from experts in the field, whose experiences span many regions and industries.
  • Build your professional portfolio through project work and gain insight across a range of sectors.

You won’t be expected to learn on your own. If you register for support at a recognised teaching centre, you will attend face-to-face classes and receive tutor support. If you are a web-supported learner, you’ll join an online tutor group.

You’ll be able to enrol for these programmes in either October or April and will study your chosen modules for 22 weeks. 

For more information, download the Data Science prospectus.


MSc Data Science
You’ll develop analytical and critical skills that will provide you with the tools needed to intelligently interrogate numerical, textual and qualitative data.

Throughout this programme you’ll also develop the skills to explain and assess machine learning, statistical data mining techniques, and how different analysis techniques and technologies can be applied to a wide range of interdisciplinary research areas. 

MSc Data Science and Artificial Intelligence
You’ll be introduced to the different approaches to artificial intelligence and their historical development, and understand their significance with respect to trends in computing. You will develop an array of analytical and practical skills. 

These skills can lead to a variety of careers with leading technology firms, robotics, the military, academia, and the public research sector.

MSc Data Science and Financial Technology
The analysis of financial data is an exciting application area for data science. You will learn how to evaluate and predict investment behaviour and investment decisions, and to communicate the results of investigations and the implications to stakeholders or other interested parties. 

You will also develop a number of different analytical and practical skills in order to intelligently analyse financial date and modern financial markets. These skills lead to a variety of careers with employers from the financial sector, including financial planning, insurance, marketing and investment banking.

There are different awards available:

  • MSc (180 credits)
  • Postgraduate Diploma (120 credits)
  • Postgraduate Certificate (60 credits) – only available on the MSc Data Science programme 

The Postgraduate Diploma and Certificate are intermediate awards, but are also available to those who can’t complete their degree for personal or academic reasons and meet the required criteria. 

There are two different entry routes into any of our Data Science programmes.

To apply through entry route 1, you must have a bachelor’s degree (or an acceptable equivalent) in a relevant subject which is considered to be comparable with a UK second class honours degree.

If you don’t meet the academic requirements above, you might be able to apply via entry route 2, for which you must have a bachelor’s degree (or an acceptable equivalent) in any subject which is considered to be at least comparable with a UK second class honours from an institution that is acceptable to the University.

If you apply through entry route 2, you must complete an online preparatory course before registration. The preparatory course will take about 30 hours and is designed to help you develop the skills to complete the full MSc programme successfully.

You can find the fees for each individual programme and modules on the Data Science programme page.