This is a specialised programme of study of advanced computing technologies, data science and data analytics focusing on areas of expertise and research specialisation within the Department of Computer Science and Information Systems:

• Data Analytics
• Information and Web Technologies
• Intelligent Technologies

In addition to eight taught modules, there is a substantial practical project. Students who complete this programme will have gained strong practical and theoretical knowledge of the above areas which they will be able to use in

• analysis of problems arising in use of advanced computing technologies
• evaluation and application of technologies
• deployment of appropriate solutions
• research into, and development of, new technologies.

The programme has been designed to meet the needs of both full-time students wishing to advance their knowledge of advanced computing technologies before embarking on a career in IT or on a research degree, and part-time students already working in the IT sector. The programme has a significant research element as many of the modules include study and discussion of recent research advances.

Flexible pathways enable you to choose whether to follow 4 or 8 modules, and the period of study which can be 1 or 2 years.

Complete 4 modules to be awarded:

• Postgraduate Certificate Advanced Computing Technologies.

Complete 8 modules to be awarded:

• Postgraduate Diploma Advanced Computing Technologies.

Complete 8 modules and a project to be awarded:

• MSc Advanced Computing Technologies.

Choose your modules and project within a specialised area to be awarded:

• MSc Data Analytics
• MSc Information and Web Technologies
• MSc Intelligent Technologies

For more information about these specialised areas see Pathways

• A good first degree or MSc in computer science, with the syllabus containing a substantial amount of programming, preferably in an object-oriented language.
• Joint honours computing graduates may also be eligible, provided they have covered a substantial amount of programming, or have equivalent professional experience in the IT industry.

Up to four days a week full-time, up to three evenings a week part-time, October-September.

All dates and timetables are listed in the programme handbook.

• When you're looking to find the right place to study, some things really matter. For Birkbeck students, it's our reputation and the quality of our teaching
• The programme starts in October each year. To have the best chance of being accepted onto the programme send your application before the end of June. Applications received after then will be processed provided that the course is not already fully subscribed.
• Your application will be processed by the College Registry and we will be in touch to tell you what to do next.

Modules cover state-of-the-art techniques including:

• the management and analysis of 'big data'
• software development of information systems in web-based, cloud and mobile architectures including Android programming
• computational methods for intelligent information management and analysis

Several modules include guest lectures delivered by academic and industry experts.