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City, University of London

Computer Science

UCAS Code: G401

Master of Science - MSci

Entry requirements


A level

A,B,B

Computer Science, Mathematics and Physics preferred

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 and Mathematics at grade 6 (C in English, B in Mathematics) or equivalents.

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

Computer Science, Mathematics and Physics preferred

About this course


Course option

4.0years

Full-time | 2020

Subject

Computer science

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.

As a student of the MSci (Hons) Computer Science, you will:
- Gain an appreciation of the foundations of computation

- Acquire an understanding of the structure of programming languages

- Develop the skills to use coding creatively in solving computational problems over the four years of the course.

- Acquire expertise in state-of-the-art approaches to a wide variety of technologies

- Develop commercially valuable skills and work with internationally renowned research groups, learning about the latest developments in computer science.

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

In year one, you will study six core modules:

- Introduction to Algorithms
- Mathematics for computing
- Operating Systems
- Systems Architecture
- Programming in Java
- Databases and Web Development

In year two, you will take a further six core modules and undertake a project.

- Core modules:
- Data structures and Algorithms
- Programming in C++
- Language Processors
- Computer Networks
- Object-orientated Analysis and Design
- Professional Development in IT.
- Team Project

In year three, you will take three core modules and then select an additional five elective modules from a list of over twenty.

- Core modules:
- Advanced programming: concurrency
- Theory of computation
- Functional programming

In year four you will take two taught core modules and undertake a large individual project. In addition you will select three elective modules.

- Core modules:
- Advanced Algorithms and Data Structures
- Computational Cognitive Systems

Assessment methods

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 2018/19 entry is as follows:

Year 1
Written examination: 49% ? Coursework: 51%

Year 2
Written examination: 35% ? Coursework: 65%

Year 3
Written examination: 33% ? Coursework: 67%

Year 4
Written examination: 31% ? Practical: 2% ? Coursework: 67%

Assessment weightings by year
Year 1: 0% ? Year 2: 20% ? Year 3: 40% ? Year 4: 40%

The Uni


Course location:

City, University of London

Department:

Computer Science

TEF rating:
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.

70%
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

68%
Staff make the subject interesting
84%
Staff are good at explaining things
69%
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

77%
Library resources
81%
IT resources
82%
Course specific equipment and facilities
53%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

83%
UK students
17%
International students
84%
Male students
16%
Female students
69%
2:1 or above
17%
Drop out rate

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
89%
med
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.

Computer science

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

£26k

£26k

£32k

£32k

£34k

£34k

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 what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

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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:

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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Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the 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).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA).

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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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

Have a question about this info? Learn more here

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