COMPUTER SCIENCE AND DIGITAL TECHNOLOGIES

With our practical, hands-on approach, you’ll be equipped to make a real difference and have a meaningful impact on the world around you. Join the University of East London and unlock your potential today.

Discover your potential to shape the future of technology with our Computer Science and Digital Technologies courses at the University of East London. From AI to Big Data; from Cloud and Cybersecurity to Blockchainwe understand the profound impact that technology is having on society. That’s why our expert teaching team is committed to providing you with the skills and knowledge you need to thrive in this rapidly evolving industry.

Research Impact

Computing at the University of East London is ranked first in London amongst new universitieswith 80% of our research outputs world leading or internationally recognised (Research Excellence Framework, 2021).

Partnerships

We have our strong research collaborations with other academic and industrial institutions, including the University of Oxford, Queen Mary University of London, University of Southampton, Accenture, Microsoft, and Amazon.

92% of students agreed/ strongly agreed that the computing course was good value for money (Postgraduate Taught Experience Survey, 2022).

Software And Facilities

Access industry standard software like our fully equipped Professional Qualifications lab, our Network and Cyber Security labs, our Creative Learning lab and Industrial Research labs.

Network Skills

You will have access to Cisco switches, routers and servers for configuring and testing cloud-based software, energy consumption meters and resources for creating electronic communication systems.

Working Alongside Industry

Our computing programmes are closely tied to industry. Our Industrial Liaison board includes representatives from organisations like IBM, Microsoft and JP Morgan.

We’ll give you the skills employers want in a range of sectors from finance to healthcare, communication to education, security to smart tech. Whether you have recently finished your undergraduate degree or already work in the industry, our courses will help you take the next step in your career. It’s also a great option if you want to make the switch from industry to research. What you learn depends on the direction you take, but you can expect to explore large scale software systems development, advanced tools and techniques, data analytics resources, and more. You’ll also complete a dissertation to explore an area of computer science and digital technology that interests you; a crucial part of learning how to interpret research and articulate results into writing.

Course Entry requirements

Master of Science (MSc) Artificial Intelligence

Bachelor’s degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content)

Master of Science (MSc) Big Data Technologies

Bachelor’s degree 2.2 or above in Computer Science (or equivalent degree with significant maths and computing content)

Master of Science (MSc) Computer Science

Bachelor’s degree 2.2 or above in Computer Science (or equivalent degree with significant maths and computing content)

Master of Science (MSc) Computing

Conversion course. Minimum 2.2 Honours degree in a noncomputing subject.

Start date Duration

MSc Data Science

Conversion course. Minimum 2.2 Honours degree in a noncomputing subject.

Professional Doctorate Data Science

Conversion course. Minimum 2.2 Honours degree in a noncomputing subject.

September One year full-time, Two years part-time, Two years full-time with industrial placement

January

May

September One year full-time, Two years part-time, Two years full-time with industrial placement

January

May

September One year full-time, Two years part-time, Two years full-time with industrial placement

January

May

September One year full-time, Two years part-time, Two years full-time with industrial placement

January

September One year full-time, Two years part-time

January

September Three years full-time, Five years part-time

January

Course Entry requirements

Professional Doctorate Information Security

Bachelor’s degree 2.2 or above in Computer Science (or equivalent degree with significant maths and computing content)

Master of Science (MSc) Information Security and Digital Forensics

Bachelor’s degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content)

Master of Science (MSc) Blockchain and Financial Technologies

Bachelor’s degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content)

Master of Science (MSc) Cloud

Computing

Bachelor’s degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content)

Master of Science (MSc) Digital Education

Bachelor’s degree 2.2 or above, in Computer Science or Education degree.

Start date Duration

September Three years full-time, Five years part-time

Master of Science (MSc) Internet of Things

Bachelor’s degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content)

View

January

September One year full-time, Two years part-time, Two years full-time with industrial placement

September One year full-time, Two years part-time, Two years full-time with industrial placement

January

January

September One year full-time, Two years part-time, Two years full-time with industrial placement

May

September One year full-time, Two years part-time, Two years full-time with industrial placement

January

September One year full-time, Two years part-time, Two years full-time with industrial placement

January

Course Entry requirements

Master of Science (MSc) Cyber Security Engineering

Bachelor’s degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content)

Master of Science (MSc) Cyber Diplomacy

Bachelor’s degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content)

Professional Doctorate in Cyber Diplomacy

Bachelor’s degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content)

Master of Science (MSc) AI and Data Science (conversion)

Conversion course. Minimum 2.2 Honours degree in a noncomputing subject.

Start date Duration

September One year full-time, Two years part-time

January

September One year full-time, Two years part-time

September Three years full-time, Five years part-time

View

January

September One year full-time, Two years part-time, Two years full-time with industrial placement