MSc Artificial Intelligence and Data Science

This course, therefore, has been developed with an Employer Steering Group including organizations such as Synectics Solutions Ltd, Powelectrics, Aspire Housing, SSE Enterprise Energy Solutions, Santander, Caja Ltd Astec IT Solutions, Teal Legal, Hildebrand Technology Limited, Rush keep, Digital Law UK & Anson Evaluate, so that it not only meets the current demands of industry but also the skills that future industrial AI and data science will require. This course aims to support students, from both STEM and non-STEM disciplines by providing those without prior experience, the foundations of areas such as programming and mathematics, so that all students can then progress to more advanced areas such as Machine Learning, Data Analytics, Visualisation, Cloud Computing, the “Internet of Things” and Intelligent Systems. During the course, students will also further develop their academic and professional skills and get the chance to work with other students and external organizations to make a real interdisciplinary and societal impact in taught modules, an A.I. and Data Science ambassador scheme, and as part of an industrial project/placement.

Semester 1

• CSC-40045 Distributed Intelligent Systems
• CSC-40054 Data Analytics and Databases

Optional Modules

• CSC-40044 System Design & Programming
• CSC-40072 Mathematics for A.I. and Data Science
• CSC-40041 Research Horizons
• CSC-40056 Internet of Things

Semester 2 and 3

• CSC-40048 Visualisation for Data Analytics
• CSC-40070 Applications of A.I., Machine Learning and Data Science

Optional Modules

• CSC-40039 Cloud Computing
• CSC-40038 Collaborative Application Development
• CSC-40050 Research and Consultancy Skills
• CSC-40102 – AI and Data Science Ambassador Scheme

Semester 3

• CSC-40040 MSc Project OR CSC-40035 Industrial Placement

Employability

Through our close collaboration with industrial partners, we continually seek to ensure that the MSc in A.I. and Data Science gives our students appropriate technical skills and knowledge – as well as the consultancy, team, and project management skills that are required for success in careers where A.I. and Data Science are being developed or used. The University has a Careers and Employability team that can provide you with advice and guidance about your future career. The team offers specialist workshops, for example, ‘Options with Postgraduate Study’ and Moving on with your Ph.D.’, and can also meet you individually to give guidance and support to help you develop your career. We also hold regular careers fairs on campus and informal events where you can meet employers. You will also have access to our database of job opportunities and digital resources such as online psychometric testing.