Data and Artificial Intelligence (MSc, PGDip, PGCert)
This MSc programme lies within an area of growing technological change and provides advanced skills and knowledge.
Students are equipped with knowledge of the current state of the industry. There is also an emphasis on skills for lifelong learning so that students will be able to update their skills throughout their careers.
PATHWAY OPTIONS AND HOW TO APPLY
You can apply directly to the University using the Apply Now button at the top of the page.
Taught by staff with academic and industry qualifications.
Hands-on experience with all relevant hardware and software.
Learn in-depth, a range of programming concepts, data visualisation and data mining techniques to develop sophisticated and complex information systems solutions.
Highly trained staff constantly update the programme to reflect the exciting, dynamic and rapidly developing computing field in today’s business environment.
The programme structure was developed in conjunction with industry-leading companies.
What you will learn
This MSc provides significant technical content which will develop students' skills in the development of intelligent systems.
In recent years, major organisations have made significant investments into data warehousing and data mining technologies which are now at the forefront of business intelligence.
Artificial intelligence is another huge growth area – predicting future direction in many fields including business, health and transport to name a few.
You will learn to use databases and analytical tools to identify trends, patterns and correlations in data. You will also learn about the application of artificial intelligence and machine learning to allow deep analysis of large datasets.
Advanced Statistical Programming (20 credits)
Application of Machine Learning (20 credits)
Artificial Intelligence (20 credits)
Data Mining and Visualisation (20 credits)
Data Security, Governance and Compliance (20 credits)
Research and Professional Development (20 credits)
Master’s Project (60 credits)
Students' work is assessed through a combination of coursework, portfolio, lab-based practical exams and written examinations.
The final mark for some modules may include one or more pieces of assessment set and completed during the module.
Project work is assessed by a written report and oral presentation. Part 2 requires the student to research and prepare an individual project of a substantial nature.
University students who are unable to successfully complete all aspects of Part 1 may be eligible for a Postgraduate Diploma (120 credits) or Postgraduate Certificate (60 credits).
Applicants require an Honours Degree (2.2 or above) or advanced qualification in Computer Science or cognate discipline from a UK University or recognised overseas institution or industrial experience in IT and an Honours Degree.
For International applicants, we ask that you hold an Academic IELTS test with a score of at least 6.0 (no element less than 5.5). For full information please visit our International page.
Students on this programme develop a broad range of technical skills and will study a number of topics related to information systems.
The programme covers the three themes of Data Management, User Experience and Web Technologies in the computing sector.
A significant emphasis is placed on data management and the implementation of applications for manipulating information including both database systems and web applications. Additionally, graduates would be able to lead teams and manage projects.
It is expected that graduates would seek positions such as:
Project manager (within the Computing field)
It is possible to complete this programme of study without any additional costs.
Students may wish to purchase materials for modules such as Major Project but this is not a requirement and will have no bearing on the final grade achieved.
You may be eligible for funding to help support your study. To find out about scholarships, bursaries and other funding opportunities that are available please visit our Scholarships and Bursaries section.