Over the course of your studies, you will study several mandatory modules.

Ultimately, you will be expected to apply the knowledge and skills you have learned by undertaking an in-depth individual project which may be industry-based or undertaken in collaboration with one of the university research groups. Guided by an expert tutor, this project helps to develop your research and practical skills while also gaining professional data science experience.

Past student projects have included analysing big data for the movie industry; helping in assessing oil wells to evaluate extraction costs; recognising customer emotion through face gestures; analysing text sentiment in a social media exchange; performing automatic scene labelling and object recognition; and designing a robotics controller for helping the elderly.

Modules
Machine Learning – 15 credits
Data Management Systems – 15 credits
Introduction to Statistical Methods for Data Science – 15 credits
Information Retrieval – 15 credits
Big Data Analytics and Data Visualisation – 15 credits
Artificial Neural Networks – 15 credits
Modelling and Optimisation Under Uncertainty – 15 credits
Individual Research Project Preparation– 15 credits
Computing Individual Research Project – 60 credits
With work placement pathway
The ‘With work placement’ opportunity2 enables you to apply in semester 1 for an optional work placement of up to 1, extending the duration of your master’s to 24 months. The placement provides an opportunity for you to develop expertise and experience in your chosen field with the aim of enhancing your employability upon graduation. The work placement would take place in semesters 3, 4 and 5.

Please note that the optional placement modules will incur an additional tuition fee of £4,000. Placement opportunities may also be subject to additional costs, visa requirements being met, subject to availability and/or competitive application. Work placements are not guaranteed but you will benefit from the support of the Talent Team in trying to find and secure an opportunity. Find out more about the work placement option.

We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.

You will need to book the accommodation after you have been accepted.

You can choose to live on campus or off campus in private accommodation.

• Make a booking online after you have been accepted (in this case please let us know your choice when you apply).
• Register when you arrive - its not possible to reserve a room before arriving. You can arrive a few days before and book it