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Computer Science

Entry requirements


A level

A,B,B

Grades ABB (preferably to include Computer Science or Mathematics)

We welcome applications that include the EPQ. Where relevant, this may be included in our offer, resulting in an ‘A’ Level offer reduced by one grade.

GCSE/National 4/National 5

GCSE English Language at grade 4 (C) PLUS GCSE Mathematics at grade 6 (B)

International Baccalaureate Diploma Programme

32

IB with 32 points to include 6 in all Higher Level subjects

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

D*DD

IT/Numerate subjects (e.g. IT(Software Development) preferred

UCAS Tariff

128

Grades ABB (preferably to include Computer Science or Mathematics)

About this course


Course option

4.0years

Full-time | 2022

Subject

Computer science

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.

Modules

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)

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)
- Service Oriented Architectures (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)

Assessment methods

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%

Tuition fees

Select where you currently live to see what you'll pay:

England
£9,250
per year
EU
£18,210
per year
International
£18,210
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

City, University of London

Department:

Department of Computer Science

Read full university profile

What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

67%
med
Computer science

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Computer science

Teaching and learning

59%
Staff make the subject interesting
76%
Staff are good at explaining things
73%
Ideas and concepts are explored in-depth
77%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

66%
Library resources
57%
IT resources
79%
Course specific equipment and facilities
64%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

83%
UK students
17%
International students
85%
Male students
15%
Female students
82%
2:1 or above
11%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

C
C
C

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Computer science

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£27,300
med
Average annual salary
75%
low
Employed or in further education
68%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

62%
Information technology and telecommunications professionals
12%
Information technology technicians
8%
Engineering professionals

This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Computing

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£28k

£28k

£36k

£36k

£40k

£40k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

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This is the percentage of applicants to this course who received an offer last year, through Ucas.

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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Course location and department:

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Teaching Excellence Framework (TEF):

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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.

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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

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Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

Have a question about this info? Learn more here