Visit the institution website for COVID‑19 updates

Entry requirements

A 2:1 BSc honours degree, or international equivalent, in:

  • computer science
  • mathematics
  • statistics
  • an engineering discipline

Applicants with lower or non-standard qualifications and relevant industrial experience will be considered on an individual basis.

Compulsory question

As part of the application process, you are required to submit a 500-word answer to the following question, ‘Discuss the ethical and societal implications of an aspect of Data Science’. You can attach your answer as a file in the applicant portal.

Months of entry

September

Course content

About this course

Data Science is revolutionising every area of science, engineering and commerce. It offers the potential for huge societal and economic benefits. The Data Science MSc was created in collaboration with a number of high profile industry leaders to address the skills shortage in data analytics. The course brings together students and industry practitioners in a setting which new technologies are developed and translated into industry practice.

What you'll learn

Through this course you'll receive a comprehensive grounding in theory and application of data science. You'll develop the multi-disciplinary combination of skills in statistics and computer science. You'll also gain the ability to apply these skills to real problems in a given application area.

Topics covered in the course include:

  • data visualization
  • cloud computing
  • Bayesian statistics
  • machine learning.

Read more

Information for international students

To study this course you need to meet our Band 2 English Language Requirements.

Direct Entry: IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills).

Fees and funding

See Fees and Funding tab in the Programme information.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification
  • PGDip
    full time
    8 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification
  • PGCert
    full time
    8 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Dr Matthew Forshaw
Email
Matthew.forshaw@ncl.ac.uk