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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.


During your four years of study on this Computer Science MSci, you’ll work individually and in teams to solve real-world computing problems, developing communication and collaboration skills. 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 (15 Credits) -Operating Systems (15 Credits) -Computer Science, Ethics & Society (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 or a work-based project. -Data Structures and Algorithms (15 credits) -Language Processors (15 credits) -Computer Networks (15 credits) -Object-Oriented Analysis and Design (15 credits) -Professional Development in IT (15 credits) -Team Project (30 credits) -Programming in C++ (15 credits) Year 3 Research and develop systems in an area of specialist interest to you with a large individual project. Tailor your degree to your interests with a broad range of elective modules to suit your career aspirations. -Theory of Computation (15 credits) -Advanced Programming: Concurrency (15 credits) -Functional Programming (15 credits) -Games Technology (15 credits) -Advanced Databases (15 credits) -Computer Graphics (15 credits) -Advanced Games Technology (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) -Project Management (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) -Semantic Web Technologies and Knowledge Graphs (15 credits) 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) -Software Systems Design (15 credits) -User-centred Systems Design (15 credits) -Advanced Databases (15 credits) -Project Management (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) -Computational Cognitive Systems (15 credits) -Agents and Multi-Agent Systems (15 credits) -Advanced Games Technology (15 credits) Students have the opportunity to follow two placement routes: a one year placement or the Professional Pathway scheme. The one year placement can be undertaken following successful completion of year 2. Students can join the Professional Pathway scheme after successful completion of year 1 (early entry) or after successful completion of year 2 or a one year placement (late entry).

Assessment method

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 3 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

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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 £20080 Year 1
International £20080 Year 1
Channel Islands £20080 Year 1
Republic of Ireland £20080 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