MSc Statistics and Data Science with professional placement

You should have a first or strong second-class undergraduate degree or equivalent international equivalent.

To apply for this course, your undergraduate degree may be in a programme that incorporates a strong element of both mathematics and computing such as mathematics, statistics, computer science, physics, chemistry, engineering or economics. Any such degree programme should have included some non-trivial element of programming instruction.

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

After graduation you’ll be well placed to progress into a wide variety of careers in data science, from large-scale established commercial enterprises to innovative technology start-ups. You’ll also have acquired the essential foundation for further postgraduate study and research within related fields.

Recent graduate roles include Data Scientist, Machine Learning Developer, Python Developer and Software Engineer.

Compulsory course units

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

Semester 1

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

Semester 2

• Applied data science
• Applied Statistics
• Statistical Design of Investigations
• Statistical Modelling
• Research project preparation

Summer

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

• Placement or Dissertation

Year 2

Semester 1 and 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