Courses on campus in London

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Use the tabs below to see the different types of courses

Use the tabs below to see the different types of courses

11 courses available to study Tab to navigate through results

Business Analytics - with specialisation in Computer Science (MSc)

This exciting and challenging programme studies how data can be utilised to solve major business and societal challenges.

Digital Humanities (MA/MSc)

Covers teaching from a wide range of disciplines, investigating the application of computational technologies to the arts, humanities and cultural heritage.

Digital Innovation in Built Asset Management (MSc)

This course offers a unique educational experience for professionals looking to use cutting-edge techniques in the management of built assets.

Digital Media, Culture and Education (MA)

This MA explores the theory and practice of media in society, with a particular focus on education and emergent new literacies in the digital age.

Geography Education MA

This course will increase a student's understanding of the literature and concepts of geography education, while advancing their professional skills.

Information Security MSc

There are good prospects for highly trained information security professionals and there is a shortage of trained personnel in this area.

School Direct (Salaried): Computer Science QTS/Teacher Training

The School Direct Programme (Salaried) is a new route into teaching at both primary and secondary levels allowing students to earn a salary while they train.

School Direct (Salaried): Geography QTS/Teacher Training

The School Direct Programme (Salaried) is a new route into teaching at both primary and secondary levels allowing students to earn a salary while they train.

School Direct (Tuition Fee): Computer Science PGCE

This course is a route into teaching at both primary and secondary levels, join other student teachers whilst undertaking teaching experience at a host school.

Web Science and Big Data Analytics MRes

The MRes covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background.