Foundation Year
In the first year of your studies, will build a foundation of key knowledge and skills while boosting your academic confidence.
Course Modules Post Type
In the first year of your studies, will build a foundation of key knowledge and skills while boosting your academic confidence.
Within this module, you will explore the relationship of technology with business. As well as creating an understanding of what an information system (IS) does, you will examine how an IS may influence business structures, assist in the decision making
Business Information Systems Read More
The module adopts a very practical focus. It concentrates on developing a small business idea and creating a one-year persuasive business plan. Sessions will focus on each aspect of the business that you need to consider in testing how it
This module is delivered through one to one instrumental or vocal lessons which cater for your discipline and specialism. You will develop a solid working relationship with your instrumental or vocal tutor and hone your skills in discipline specific technique
Performance Development Read More
This module is hugely popular and requires you to form a small ensemble with other students (across any level of study) to develop a programme for assessment at the end of the year. You will receive specialist input from a
This module is an introductory course into machine learning methods which are of fundamental importance in the modern world. Many of the techniques covered in this module form the basis for the growth in artificially intelligent systems in recent years.
The MSc Project provides an opportunity to investigate a problem, gap, or challenge within Data Science. The module provides the opportunity for students to examine an area of particular interest within the Data Science context. The module is designed to
MSc Project in Data Science Read More
This module explores a range of topics that are increasingly predominant and emerging in Data Science, Data-Intensive Computing, Parallel Computing and Natural computing. The topics will be explored through guided reading and research within a group project component. Students will
Advanced Topics in Data Science Read More
This module is an introduction to the key deep learning methods which are widely applied in a variety of real-world problems, from healthcare to robotics.  In particular, this module focuses on the practicalities of how to build deep neural networks and deep learning
The need to communicate effectively using the appropriate visualisation tools to reflect the trends or patterns in datasets is an essential skill for the data scientist. This module explores selecting and implementing appropriate visualisation tools and techniques and produces an