Data Science (Artificial Intelligence and Statistics)

Entry requirements

2:2 or equivalent undergraduate degree in mathematics or in a subject with a substantial mathematical component.

Months of entry

September

Course content

This course produces data analysts with a focused specialism in data science, underpinned by formal training in advanced statistics, machine learning and artificial intelligence. As a graduate of this course, you'll be appropriately equipped to make significant contributions to your career and society as a whole.

The course builds upon your existing skills in mathematics and statistics (linear algebra, probability, statistics, coding) by developing advanced training in the field of data science. It encompasses a range of specialised domains such as temporal and data analytics and machine learning, fully underpinned by significant coding exposure. Interweaved across modules, the course harnesses three integrated strands that develop statistical, machine learning and computational thinking, with the seamless integration of these areas making graduates very attractive to employers.

You'll develop the technical skills needed to critically analyse, mine, and manage different kinds of data in order to learn, discover and interpret interesting patterns. You'll benefit and learn from our institutional expertise in statistics and machine learning.

Information for international students

If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:

IELTS (Academic and Indicator) 6.5, minimum 6.0 in each component

For more information see our postgraduate English language requirements.

Fees and funding