MSc Data Science with Professional Placement

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.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

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

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.

Year 1

Semester 1

Compulsory units

• Analytic software technologies
• Applied data science
• Foundational machine learning
• Statistical data science
• Understanding deep learning

Semester 2

Alongside compulsory units, in semester 2 you will also choose 5 credits of optional units, including topics such as humans and intelligent machines, natural language processing and entrepreneurship.

Compulsory units

• Applied data science
• Bayesian data science
• Foundational machine learning
• Research and development project skills
• Spatio-temporal analytics

Optional units

• Entrepreneurship
• Humans and intelligent machines
• Natural language processing

Year 2

Semester 1

Compulsory units

• Professional placement

Semester 2

Compulsory units

• Professional placement

Summer

Compulsory units

• Specialist project