MSc Artificial Intelligence

The educational aims of this course are

To enhance critical understanding and skills with regards to processes, techniques and methodologies around artificial intelligence in a blended learning environment with hand-on application using contemporary software.
To equip students from a broad variety of backgrounds with the key skills needed to apply artificial intelligence tools and techniques to complex real world situations.
To equip students with the communication, management and organisational skills needed to lead data science projects and to communicate findings to the wider organisation including to non-technical audiences

Machine Learning Engineer
Data Scientist (AI)
AI Analyst
Business Intelligence Analyst

A lower second class honours degree in any discipline.

GCSE Grade 4 in Mathematics or equivalent.

The M.Sc. Artificial Intelligence is broken up into six blocks. Each of four taught blocks includes two 15 credit modules. The two additional blocks comprise the MSc Artificial Intelligence Dissertation and the Industry Internship. The modules expected to be available in the four taught blocks for 2020/21 are

Data Science
Concepts & Technologies of Artificial Intelligence
Deep Machine Learning
Data Mining & Informatics
Intelligent Agents
Statistics with SPSS
Research Methods
Project Management
In addition to these modules students will be enrolled on a pre-course induction programme in fundamental mathematics and programming. This induction programme will be available to students all year round and additional support with mathematics and programming will be provided as needed by the expert support team at the University.