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MSc Data Science with professional placement

  • DeadlineStudy Details:

    MSc 2 full-time years including placement year

Course Description

Improve your employability for roles in data science with specialist knowledge in machine learning, statistics and software technology.

Data science drives a significant proportion of global economic activity from healthcare to finance and technology. It’s influencing scientific progress across numerous fields including bioscience, energy and telecommunications. This course provides you with the computational skills, tools and strong mathematical foundation to become an industry expert. You’ll gain an understanding of the balanced combination of science and technology required for delivering effective data science.

Entry Requirements

You should have a first or strong second-class Bachelor’s honours degree or international equivalent.

To apply for this course your undergraduate degree can be in computer science with a strong mathematical focus, mathematics or any joint mathematics subject. Statistics, physics, astrophysics, engineering or other science degrees with sufficient baseline maths are also suitable. We’ll also consider other subjects with sufficient maths content. Programming experience is an advantage.

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Fees

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

Student Destinations

After graduating, you’ll be well placed for a variety of careers in data science – from large-scale commercial enterprises, to innovative tech start-ups. Alongside the specialist skills and knowledge you’ll gain, our dedicated careers team offers individual guidance and help you decide between employment and further study.

Recent graduate roles include: data scientist, machine learning developer, Python developer and software engineer.

Module Details

Compulsory course units

These compulsory units are currently being studied by our students, or are proposed new units.

Year1 – Semester 1

  • Applied data science
  • Statistics for data science
  • Machine learning 1
  • Software technologies for data science

Semester 2

  • Applied data science
  • Machine learning 2
  • Research project preparation
  • Plus optional units

Summer

You can use the summer to begin your placement or you can do your dissertation first.

  • Placement or Dissertation

Year 2 – Semester 1

  • Placement

Semester 2

  • Placement

Summer

If you choose to do your dissertation in Year 1, you will still be on placement in the summer of Year 2.

  • Dissertation or Placement

Optional units

  • Bayesian machine learning
  • Reinforcement learning

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