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University of Manchester

Computer Science (Human Computer Interaction)

UCAS Code: I142

Master of Engineering - MEng

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About this course


Course option

4years

Full-time | 2019

Subjects

Computer science

Human-computer interaction

Computer Science - and more specifically Human Computer Interaction (HCI) - is radically changing the way in which we experience our world through the development of new applications in science, engineering and business. HCI is concerned with optimising the interaction between computer systems and their human users, at the intersection of computer science, behavioural sciences and social science. Here at Manchester we equip you with the skills needed to contribute to this exciting and rapidly evolving field. We provide you with the highest level of education in understanding and improving future generations of user interfaces and interactions, up to and including specialisation in advanced topics. Our course attempts to delve much deeper than other HCI related courses, in that key course units are delivered by specialists in their field, from neurophysiology to advanced social network analysis, from complex software engineering and application development to qualitative research design and methods - and everything in between.

Your first year will give you a comprehensive, broad-based foundation from which to choose your area of specialisation. You will gain not only knowledge and practical experience of the latest technologies, but also a grounding in the underlying principles of the subject. CS(HCI) is a flexible programme, allowing you to choose course units to reflect your developing and changing interests. Furthermore, a wide range of themes from across the discipline allow you to specialise in the third year. It is this combination of skills that enable our graduates to keep pace with this fast moving subject, and secure rewarding careers that can be pursued almost anywhere in the world.

**Aims**

The aim of the course is to give you a deep understanding of Human Computer Interaction (HCI) from neurophysiology to advanced social network analysis, from technically complex software engineering and application development to qualitative research design & methods - and everything in between. More specifically you will learn of the tools, techniques, and the mindset necessary to approach highly challenging HCI work; or move on to advanced research, be that in a commercial R&D division, as part of a skunkworks project, or within academia. We aim to instil not just a theoretical knowledge of HCI as a science and engineering discipline, but also a solid base of practical skills, an understanding of design, comprehension of the commercial world and competence in transferable skills such as problem solving, team working, and creativity.

**Special Features**

- Allows you to plan, design, develop, and evaluate all aspects of interactive systems, device interfaces, and interaction scenarios.

- All topics are taught by experts in their field, and students attend course units from Neuroscience, Social Science, and the Statistics Unit giving them cross-disciplinary experience.

- All required Advanced Mathematics is taught as part of the course.

- Course units and themes of relevance to Human computer Interaction include: Fundamental to Advanced Human Computer Interaction, HCI Methodology, Software Engineering and Agile Design, Statistics and Advanced Statistical Analysis, Advanced Social Network Analysis, Human Motor and Sensory Systems, Human Learning, Memory and Cognition.

- You have access to all the core Software Engineering units and all the additional HCI specific units only available to specialist HCI students.

- You can specialise very quickly allowing a more detailed view of HCI than on other courses.

- The course equips you with skills that are in high demand from industry.

Extra funding

The University is committed to supporting students from low-income households through our financial support packages detailed below.
Full-time UK students do not need to apply for Manchester’s bursaries separately but should ensure that they consent to share their financial details with the University when making an application to Student Finance England. http://www.manchester.ac.uk/study/undergraduate/student-finance/2019/

The Uni


Course location:

University of Manchester

Department:

Department of Computer Science

TEF rating:

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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.

80%
high
Computer science
80%
high
Human-computer interaction

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

79%
Staff make the subject interesting
90%
Staff are good at explaining things
81%
Ideas and concepts are explored in-depth
85%
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

88%
Library resources
79%
IT resources
93%
Course specific equipment and facilities
73%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

32%
UK students
68%
International students
72%
Male students
28%
Female students
79%
2:1 or above
5%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A*
A*
A

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.

£27,000
med
Average annual salary
95%
med
Employed or in further education
65%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

82%
Information technology and telecommunications professionals
4%
Artistic, literary and media occupations
3%
Information technology technicians
What do graduate employment figures really tell you?

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.

£30k

£30k

£32k

£32k

£39k

£39k

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.

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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.

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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.

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