Published: 31 January 2021

A week in the life of a postgraduate on our MSc in Data Science

From lectures to laboratory-based practical's, discover what a typical week looks like for a student on our MSc in Data Science.

How you'll learn

Your teaching will be delivered by a team of world-class specialists in Data Science and Artificial Intelligence, led by one of the University’s Distinguished Chairs and a Global Highly Cited Researcher. You’ll learn through a combination of:

  • Group work
  • Laboratory-based practical's
  • Lectures
  • Online learning.

Outside of these, you’ll be expected to carry out independent study, including coursework, essays and reading.

“I decided to study on my course, the MSc in Data Science with Professional Postgraduate Year, because I wanted to specialise in data science while also gaining industrial experience through a placement year.”

Ai Omote, Data Science MSc

We’ve also introduced hybrid learning, a mix of online and face-to-face sessions, in light of the Covid-19 pandemic.

A typical week

You'll receive approximately 18 contact hours each week.


  • 9am - 11am: Database Systems – Lecture
  • 1pm - 3pm: Practical Business Analytics – Lecture
  • 4pm - 6pm: Practical Business Analytics – Lab Workshop.


  • 9am - 11am: Internet of Things – Lecture
  • 1pm - 3pm: Information Security Management – Workshop.


  • 10am - 12 noon: Database Systems – Lab Workshop

Please note, Wednesday afternoons are left free for sporting or other University society activities.


  • 10am - 12 noon: Data Science Principles and Practices – Lecture
  • 4pm - 6pm: Data Science Principles and Practices – Lab Workshop.


  • Study day.


Learn more about postgraduate study in our Department of Computer Science.

Disclaimer: The timetable and modules listed are indicative, reflecting the information available at the time of publication and may be subject to teaching availability, student demand and/or class size caps. Given the changing nature of the Covid-19 pandemic, our hybrid learning model is under continuous review. See the latest information on all changes.

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