MSc
2021 start

Data Analytics

Department of Computer Science, Faculty of Engineering

This course will develop your skills in analysing big data sets so that you can transform the information into actionable knowledge.
Three Computer Science postgraduates at table

Course description

This course is designed for students with a numerate background (for example a first degree in mathematics, economics, engineering, physics or chemistry) as well as graduates already working in industry. 

The course focuses on managing vast amounts of information and transforming it into actionable knowledge. It teaches the key skills that are required to carry out practical analysis of the types of data sets that need to be interpreted in the modern world. These include large data sets as well as structured and unstructured data. The course makes use of techniques developed within a range of disciplines, including computer science, artificial intelligence, mathematics and statistics.

Applying for this course

We use a staged admissions process to assess applications for this course. You'll still apply for this course in the usual way, using our Postgraduate Online Application Form.

Apply now

Modules

Core modules

  • Scalable Machine Learning
  • Text Processing
  • Machine Learning and Adaptive Intelligence
  • Natural Language Processing
  • Industrial Team Project
  • Individual Data Analytics Dissertation
  • Professional Issues
  • Statistical Data Science in R

Optional modules

  • Computer Security and Forensics
  • Parallel Computing with Graphical Processing Units (GPUs)
  • Modelling and Simulation of Natural Systems
  • Network Performance Analysis
  • Web Technologies

The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption. We are no longer offering unrestricted module choice. If your course included unrestricted modules, your department will provide a list of modules from their own and other subject areas that you can choose from.

Teaching

We use lectures, tutorials and group work.

Assessment

Assessment is by formal examinations, coursework assignments and a dissertation.

Duration

1 year full-time

Student profile

Ashleigh Randall, postgraduate student from the Department of Computer Science

Within 3 months of starting the course I secured a graduate placement as a Technology Analyst at Barclays for after my masters, which I would not have got if I had not studied this course!

Ashleigh Randall
MSc Data Analytics

Entry requirements

Minimum 2:1 honours degree in a numerate discipline (computer science, mathematics, economics, engineering, physics, chemistry).

Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent.

International pathway programmes

If you're an international student and don’t meet our entry requirements, we offer a Pre-Masters in Science and Engineering programme through the University of Sheffield International College. The programme develops your knowledge of your chosen subject, introduces you to vital study skills and provides additional support to reach the English language level for the course, should you need it.

Once you complete your Pre-Masters in Science and Engineering and achieve the required grades, you can enter your chosen postgraduate degree at the University of Sheffield.

We also accept a range of other UK qualifications and other EU/international qualifications.

If you have any questions about entry requirements, please contact the department.

Apply

We use a staged admissions process to assess applications for this course. You'll still apply for this course in the usual way, using our Postgraduate Online Application Form.

Apply now

Contact

msc-compsci@sheffield.ac.uk
+44 114 222 1800

Any supervisors and research areas listed are indicative and may change before the start of the course.

Recognition of professional qualifications: from 1 January 2021, in order to have any UK professional qualifications recognised for work in an EU country across a number of regulated and other professions you need to apply to the host country for recognition. Read information from the UK government and the EU Regulated Professions Database.

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