Overview
Designed for graduates from non-computing disciplines, this conversion programme provides the essential skills and knowledge needed to enter and thrive in the fast-paced world of computing and digital technology.
With a strong emphasis on programming, artificial intelligence (AI), data analytics, and cybersecurity, this course gives you the knowledge and hands-on experience to build a successful career in today’s digital economy.
Gain theoretical knowledge and hands-on experience in Computer Science
This conversion programme offers a comprehensive and accelerated introduction to core areas of computer science, while enabling you to explore emerging technologies and industry trends. You’ll gain both the theoretical knowledge and hands-on experience to manage complex digital systems. This includes building practical coding skills using tools such as Anaconda NumPy, pandas, and PyTorch and mastering programming paradigms, including procedural, functional and object-oriented programming (OOP).
The programme uses a block teaching model, delivered in 3-week blocks, allowing for deep immersion in each topic. This approach means you'll focus on one subject at a time, enhancing retention, comprehension, and the ability to apply what you've learned effectively. By dedicating full attention to each area of study, you'll gain a more thorough understanding of complex concepts and develop skills that are immediately applicable in the real world.
A key feature of this course is the Collaborative Project, where you’ll work in a multidisciplinary team to tackle a real-world challenge provided by one of our industry partners. You’ll also apply your new technical skills to develop creative, data-driven solutions for issues with social, technological, or global significance through the Grand Challenges module. This experience doesn’t just build technical expertise, it sharpens your communication, teamwork, and critical thinking skills, all of which are essential for a career in tech.
The programme is delivered by Loughborough University London's Institute for Digital Technologies, a leading centre for interdisciplinary research on AI systems, autonomous systems, blockchain, cybersecurity, wireless communications and sensing, the Internet of Things, digital twins, sports and healthcare technologies, and financial technologies. You'll benefit from teaching that is research-led and closely aligned with current industry demands.
Why study Computer Science in London?
London is one of the world’s leading technology hubs, making it the ideal location to pursue a postgraduate degree in computer science. With its thriving tech scene, innovative companies, and cutting-edge research, the city offers unparalleled opportunities for learning, networking, and professional growth.
By choosing to study with us, you will have the opportunity to engage with industry, collaborate on real-world projects, and build a strong professional network as you study.
Why you should study this degree:
- Gain a comprehensive understanding of the fundamentals of programming and AI technology.
- Learn applied skills in coding, algorithms and data analytics.
- Develop a critical understanding of how AI is transforming our societies.
- Work in teams to develop software and AI driven solutions to grand challenges.
- Study at the heart of the UKs technology scene at our vibrant London campus.
- Full immersion in each topic through block teaching in 3-week intervals.
Get more details
Visit programme websiteProgramme Structure
- Programming Fundamentals
- Principles of Artificial Intelligence and Data Analytics
- Algorithms and Data Structures
- Operating Systems
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 72 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Computer Sciences View 485 other Masters in Computer Sciences in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A 2:2 honours degree or an equivalent qualification.
Make sure you meet all requirements
Visit programme websiteTuition Fees
Additional Details
For the most up to date course fees, visit the Computer Science course page.
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Please visit our website for more information on fees, funding and scholarship opportunities.
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Computer Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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