City, University of London

Degree level: Undergraduate

Computer Science

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

This integrated master's degree is ideal if you are interested in how software technologies are built and work. You’ll learn about programming languages, coding and solving computational problems. An optional work placement, master’s level study and professional accreditation all boost your employability. This course is suited for those looking for a rewarding career in a diverse and rapidly changing environment, from the highly technical to the business-drive, in roles that are both creative and highly valued. It is accredited by BCS, The Chartered Institute for IT and fully meets the further learning academic requirement for registration as a Chartered IT Professional. City's MSci (Hons) Computer Science degree covers core foundational skills such as programming, progressing to cover a range of computing topics with a focus on professional application, while maintaining a strong theoretical underpinning.

  • You’ll become proficient in computing, coding, programming and problem-solving, as well as developing management and communication skills.
  • Develop systematic knowledge of computer science, with a focus on how software and programming can be used to solve real-world problems
  • Boost your professional credibility, employability and earning potential with a degree that satisfies the academic requirements for CEng status
  • Learn to code creatively and use programming languages accurately
  • Study in City’s computing labs, which include the latest hardware and software, such as state-of-art NVidia GPUs
  • Gain practical work experience with an optional one-year work placement
  • Study at master’s level in your fourth year, learning alongside our internationally renowned researchers at the cutting edge of the subject
  • Get three years of professional experience with our innovative Professional Pathway Scheme, combining paid employment and study.
The School has its own dedicated placements team with over 20 years of experience in providing on-hand placement and internship support as well as guidance for students throughout their studies. Placements are highly encouraged at City. Students that complete a placement year benefit from gaining professional experience working on real-life projects and are also more likely to achieve higher grades, secure a graduate-level job and earn a higher salary. In recent years students from our computer science courses have been able to obtain placements at leading companies within their chosen field such as IBM, PlayStation, Disney, Microsoft and Goldman Sachs. City's unique location provides excellent work experience opportunities at nearby Tech City. Careers include programming and software development, research-based careers in the IT industry and higher degrees, such as a PhD. Recent Computer Science graduates have joined employers such as Accenture, Blackrock, Feral Interactive, Hamilton-Brown Business Graphics, Imaginations Technology, QA Consulting, Sky and Unruly Group.

Course details


Year 1 Study our common first year for all our computer science students, learning six core topics including operating systems, web development and Java.

  • Introduction to Algorithms (15 credits)
  • Mathematics for Computing (15 credits)
  • Systems Architecture (15 credits)
  • Programming in Java (30 credits)
  • Databases and Web Development (30 credits)
-Operating Systems (15 credits) Year 2 Deepen your knowledge of computer science with core modules such as C++ and data structures. Boost your professional skills with a team project.
  • Data Structures and Algorithms (15 credits)
  • Language Processors (15 credits)
  • Object-Oriented Analysis and Design (15 credits)
  • Professional Development in IT (15 credits)
  • Team Project (30 credits)
  • Programming in C++ (15 credits)
  • Computer Networks (15 credits)
Year 3 Study three core modules and select five elective modules from over twenty choices, such as cloud computing, AI, and computer graphics.
  • Theory of Computation (15 credits)
  • Advanced Programming: Concurrency (15 credits)
  • Functional Programming (15 credits)
  • Advanced Games Technology (15 credits)
  • Advanced Databases (15 credits)
  • Computer Graphics (15 credits)
  • Professional Placement and Career Development (30 credits)
  • Data Visualization (15 credits)
  • Digital Signal Processing and Audio Processing (15 credits)
  • Network Security (15 credits)
  • Cloud Computing (15 credits)
  • Information Security Fundamentals (15 credits)
  • Computer Vision (15 credits)
  • Introduction to Artificial Intelligence (15 credits)
  • Programming and Mathematics for AI (15 credits)
  • Agents and Multi Agents Systems (15 credits)
  • User Centred Systems (15 credits)
You may elect to take an industrial placement between years 2 and 3 or between years 3 and 4. Year 4 Continue tailoring your studies to your career aspirations with four elective modules from across our specialisms. Showcase your skills with a large individual project.
  • Advanced Algorithms and Data Structures (15 credits)
  • Individual Project (45 credits)
  • Computational Cognitive Systems (15 credits)
  • Software Systems Design (15 credits)
  • User-centred Systems Design (15 credits)
  • Advanced Databases (15 credits)
  • Computer Graphics (15 credits)
  • Digital Signal Processing & Audio Processing (15 credits)
  • Data Visualization (15 credits)
  • Neural Computing (15 credits)
  • Cloud Computing (15 credits)
  • Machine Learning (15 credits)
  • Big Data (15 credits)
  • Information Security Fundamentals (15 credits)
  • Network Security (15 credits)
  • Cryptography (15 credits)
  • Computer Vision (15 credits)
  • Introduction to Artificial Intelligence (15 credits)
  • Programming and Mathematics for Artificial Intelligence (15 credits)
  • Agents and Multi-Agent Systems (15 credits)
  • Advanced Games Technology (15 credits)
- Semantic Web Technologies and Knowledge Graphs (15 credits)

Assessment method

Assessment is by examination and coursework, although some components, such as the team project, are assessed by coursework alone.In your first year you must also complete an online risk and safety assessment to progress to stage two of the programme. The balance of assessment by examination, practical examination and assessment by coursework will to some extent depend on the optional modules you choose. The approximate percentage of the course assessment, based on 2019/20 entry is as follows: Year 1 Written examination: 41% Coursework: 59% Year 2 Written examination: 35% Coursework: 65% Year 3 Written examination: 50% Coursework: 50% Year 4 Written examination: 25% Practical: 6% Coursework: 69%

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • BCS - The Chartered Institute for IT

How to apply

Application codes

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Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

We do accept applications from students who are completing a combination of qualifications. For this course, this would be something like: D* in IT with a grade B in ‘A’ Level Computer Science and a grade B in another ‘A’ Level. We may also take ‘AS’ Level grades into consideration.

Unistats information

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Fees and funding

Tuition fees

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
EU £18210 Year 1
International £18210 Year 1

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Computer Science at City, University of London - UCAS