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BSc (Hons) Computer Science and Mathematics with a year in Industry

Study complementary subjects to become fluent in both and add a year in industry to increase your skills.

Year of entry: 2019

UCAS code

GGK1

Institution code

Y50

Length

4 years full-time

Typical offer

AAB-ABB (full entry requirements)

Start date

September 2019 (term dates)

UK/EU fees

£9,250 per year (2019/20)

International fees

£21,330 per year (2019/20)

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You'll study both Computer Science and Maths equally. The skills you gain from both disciplines will make you highly employable across a range of sectors. Adding a year in industry will help cement your skills in a professional context.

Computer Science is founded upon Maths, and the study of the two together allows you to explore topics core to both whilst gaining an insight into how they intersect. 

Maths influences Computer Science, from designing and analysing efficient computer programs to developing formal proofs that a piece of software does what was intended. This is especially important, for example, if the software is being used to fly a plane.

Increasingly Computer Science is also being used to find solutions to mathematical issues. Computers are used to solve long-standing mathematical problems, as they can help visualise complex numerical data, search for solutions, and make number manipulation faster.

Course content

You will gain a thorough and equal grounding in Computer Science and Maths in your first two years, introducing the fundamental concepts in both subjects whilst gaining an insight into the interplay between the two. You can then choose to weight your studies towards either subject, or keep the split the same. Your final year project can be in either subject. You'll take 120 credits per year as part of this course, apart from your year out in industry.

Year 1

Your first year contains essential fundamental material in programming and computer architectures. You will study the mathematical and theoretical foundations of Computer Science. You will also learn how to increase your employability prospects, including improving your presentation style and exploring the professional issues in Computer Science.

Half your first-year credits (60 in total) will be in Computer Science, and half will be in Maths (another 60). All modules are core and compulsory.

Computer Science 

Mathematics

Academic integrity module

In addition to the above you will also need to complete our online Academic Integrity module.

Year 2

Your second year continues teaching you the fundamentals of both disciplines, and more specialist modules start to be introduced. You'll take 120 credits in total.

Computer Science

Core modules:

Option modules:

You'll select one 20 credit module and one ten credit module from the following:

Mathematics

All modules are compulsory.

Year 3

You will spend this year out in industry if you successfully obtain a placement. You will be supported in achieving this by our dedicated Industrial Placement Coordinator, who is there to help you with your CV, give you interview tips, arrange interviews on campus and visit you on placement to ensure everything is going well. We have excellent relationships with a strong portfolio of companies from large multinationals such as IBM and Airbus UK, to smaller companies such as YorkTest and Informed Solutions. 

Your year in industry gives you a chance to use what you have learned during your degree. As well as being paid a good salary, students who take a year in industry generally achieve better grades, develop a broader range of skills and are more attractive to future employers. Some students even find a job with their placement company before they graduate.

Find out more about a year in industry.

Year 4

When you reach your final year, you can choose to weight your studies more towards Computer Science or Mathematics. You will undertake an individual final year project (40 credits) in the subject you choose, which will involve a lot of self-study, rather than scheduled teaching time. For your project you can select a title from our list, or define your own topic according to your interests. The project can be in either Computer Science or Maths.

Some recent examples of final year projects are:

  • A parallel neural network software system
  • York Extendible Testing Infrastructure (YETI): Improving the Java binding
  • A graph editor for LaTeX
  • Simulating continuous time quantum walks on graphs
  • Solving Soduku with Boolean SAT
  • Finding what's most likely using integer programming
  • Financial forecasting
  • Binary code translation from register to stack based code 

In addition, you will be able to select a total of 80 credits from the following option modules.

Computer science modules:

Please note that some of these modules require you to have selected certain other modules in Years 2 and 3. If you have a specific question, please contact the department for further information.

Mathematics modules:

Please note, modules may change to reflect the latest academic thinking and expertise of our staff.

Learning by design

Every course at York has been designed to provide clear and ambitious learning outcomes. These learning outcomes give you an understanding of what you will be able to do at the end of the course. We develop each course by designing modules that grow your abilities towards the learning outcomes and help you to explain what you can offer to employers. Find out more about our approach to teaching and learning.

Students who complete this course will be able to:

  • Confidently and competently apply computational and mathematical thinking to problems, using skills in problem analysis, representation and abstraction, and the application of standard mathematical and computational techniques, including the theory and practice of programming and software engineering.
  • Critically analyse statements, arguments or conjectures that underpin the theory of Mathematics and Computer Science, and justify the principles chosen for such critiques.
  • Adapt to new and unfamiliar challenges in Computer Science and Mathematics, recognising appropriate ideas and approaches drawn from a range of technologies, languages, paradigms, models and mathematical theories.
  • Conduct an independent investigation into a specialised area of Mathematics or Computer Science, by gathering material from a variety of sources, and synthesising this material into a well-organised and coherent account, or effective solution to a user-specified need.
  • Work effectively in a team, formulating and fulfilling obligations towards achieving goals by managing workloads, setting and meeting deadlines, and optimising resources.
  • Communicate complex ideas in Computer Science and Mathematics in a clear and organised manner, at a level appropriate for the intended recipients, and also present an effective summary of these ideas. 
  • Appreciate the wider context of Mathematics and Computer Science and their individual components, develop an awareness of issues such as information security and system reliability.

REF 2014

Following the 2014 Research Excellent Framework, Computer Science's research was assessed 7th overall in the UK, 5th for impact and 6th for environment by THE (Times Higher Education).

Teaching

Staff in both departments are at the cutting edge of their fields and we maintain strong links with industry.

Guardian University Guide 2019

5th in the Russell Group for Maths

Fees and funding

The fees and funding figures below are for 2019 entry. If you take a year abroad or year in industry you'll pay a reduced rate of fees for that year.

Annual tuition fees

UK/EU International
£9,250 £21,330

Additional costs

There are unlikely to be any mandatory additional costs associated with the course, although you may want to set aside £200 for optional photocopying and personal stationery over the duration of the course.

UK/EU or international fees? The level of fee that you will be asked to pay depends on whether you're classed as a UK, EU or international student.

Fees for subsequent years

  • UK/EU: further increases within the government fee cap will apply in subsequent academic years. We will notify you of any increase as soon as we can.
  • International: fees for international students are subject to annual increases. Increases are currently capped at 2% per annum.

More information

For more information about tuition fees, any reduced fees for study abroad and work placement years, scholarships, tuition fee loans, maintenance loans and living costs see undergraduate fees and funding.

Funding

We offer a number of scholarships to help cover tuition fees and living costs.

Home/EU students

International students

We have a number scholarship opportunities available for students, including three IBM scholarships.

Living costs

You can use our living costs guide to help plan your budget. It covers additional costs that are not included in your tuition fee such as expenses for accommodation and study materials.

Teaching Excellence Framework Gold Award

“Students from all backgrounds achieve consistently outstanding outcomes”

The TEF Panel, Office for Students, June 2018

Our Gold Teaching Excellence Framework award demonstrates our commitment to the delivery of consistently outstanding teaching and learning for our students.

Teaching and assessment

You’ll work with world‐leading academics who’ll challenge you to think independently and excel in all that you do. Our approach to teaching will provide you with the knowledge, opportunities, and support you need to grow and succeed in a global workplace. Find out more about our approach to teaching and learning.

Teaching format

A typical week will involve about 15-20 hours of scheduled teaching time. Our courses are based on a series of one-hour lectures with associated laboratory sessions, programming classes and tutorials.

Throughout the course, you will have a personal supervisor responsible for guiding your studies. In addition to any timetabled sessions, you will meet with your supervisor regularly, and you can also go to them at any time should you have any issues, academic or personal. There are problem classes to help you put learning from lectures into practice and weekly one-to-one project supervisions in your final year.

You will also undertake learning outside of the scheduled timetable. This can be through working in the labs, which are accessible 24 hours a day, seven days a week, or through reading recommended materials or working through problems. Consequently, you'll need to be self-motivated, self-disciplined and willing to learn outside regular classes.

As you progress through the course you will develop your skills to become a more independent learner. You'll also spend time working on your individual research project later on in the course, in addition to timetabled activity; you will be allocated a project supervisor, with whom you will have regular meetings in addition to timetabled sessions. You can go to your supervisor for support and advice regarding your project.

Overall workload

As a guide, students on this course typically spend their time as follows:

Year 1Year 2Year 3Year 4
Lectures and seminars408 hours312 hours0 hours240 hours
Placement0 hours0 hours1200 hours0 hours

The figures above are based on data from 2016/17.

The rest of your time on the course will be spent on independent study. This may include preparation for lectures and seminars, follow-up work, wider reading, practice completion of assessment tasks, or revision.

Everyone learns at a different rate, so the number of hours will vary from person to person. In UK higher education the expectation is that full-time students will spend 1200 hours a year learning.

Facilities

Built to the highest specifications, the Department of Computer Science is packed with cutting-edge facilities housed in a modern, self-contained building.

Computer Science houses four software and two hardware laboratories which you will be able to use depending on the topic of your third year project. These facilities are professional grade and used by our research teams so, depending on your interests, you'll get first hand exposure to these environments.

The Department of Mathematics is a community of mathematicians from all over the world, engaged in world-class research and committed to excellence in teaching with a special emphasis on small groups and a friendly atmosphere.

Teaching location

The Department of Computer Science is based on Campus East and the Department of Maths is based on Campus West. As a result, you will be taught at locations across campus. 

About our campus

Our beautiful green campus offers a student-friendly setting in which to live and study, within easy reach of the action in the city centre. It's easy to get around campus - everything is within walking or pedalling distance, or you can always use the fast and frequent bus service.

Assessment and feedback

We use a variety of assessment techniques throughout the elements of the course undertaken in Computer Science. This allows you to practice different techniques, from report writing and presentations through to closed examinations.

Here's a few examples of what you might experience:

  • When you undertake your final year project, you will be expected to produce a large report, as well as an oral presentation of your project.
  • Our 'Skills for Computer Scientists' module is there to help you develop your employability skills, and so assessed work includes presentations, essay writing and developing your career plan.
  • Your first year programming module, 'Theory and Practice of Programming', includes a timed, closed programming assessment, where you must code in an exam setting.
  • Other modules include mini exams throughout the year which contribute to your final mark.

These different assessment techniques allow us to get the best out of you, and you will not be disadvantaged by being assessed in just one way.

In Mathematics, the majority of your modules are assessed by examinations, complemented by weekly or fortnightly individual assignments to assess your progress in each module. This allows you to practise the maths and gain valuable feedback before the formal assessment takes place.

Lecturers provide feedback in a variety of forms, according to the needs of the specific module. It may consist of written feedback, in-class discussion, model answers, or online responses to questions posted on the module discussion board.

Percentage of the course typically assessed by coursework and exams

Year 1Year 2Year 3Year 4
Written exams85%87%0%67%
Coursework7%8%100%25%
Practical exams8%5%0%8%

The figures above are based on data from 2016/17.

Careers and skills

The move towards a digital economy creates demand for computer scientists and software engineers across a broad section of employers, so the skills you develop here will make you attractive to many organisations.

Many of our graduates are employed by software and electronics industries, but the continuing expansion of the use of computers in commercial and financial operations means that you will be able to find employment in other industries - and here your sharpened numeracy and analytical skills will have prepared you well.

Career opportunities

  • Computer Programmer
  • Software Engineer
  • Software Developer
  • Business Analyst
  • Research Scientist
  • Network Manager
  • IT Systems Manager
  • Banking and financial services
  • Computing and IT
  • Law
  • Engineering
  • Logistics
  • Telecommunications

Transferable skills

  • Analytical skills. The ability to approach problems analytically and to design structured solutions. Laboratory modules will help you to develop skills of data analysis, design and implementation. You will also be introduced to a wide range of modern software development tools and techniques.
  • Research skills. Throughout the course you will be given opportunities to learn research skills. These culminate in a major final year project where you will research a problem, identify the key issues, produce a critical assessment of the relevant literature and generate a new solution.
  • Management skills. You will have the opportunity to learn about the techniques, concepts and theories used in project management, and gain experience of putting them into effect.
  • Communication skills. Communication skills are invaluable. You will have the opportunity to develop these skills through, for example, oral and written presentations, in both formal and informal settings. At the end of the course, you will be confident and competent in communicating your knowledge and skills to a wide range of audiences.

Entry requirements

Qualification Typical offer
A levels

AAB - ABB including grade A in A level Mathematics.

An A level in Mathematics is an absolute requirement for all our courses. Your other two A-levels can be any subject.

Whilst we do not specifically require you to have studied Computing at A level, we are delighted to accept students with this qualification and would encourage you to apply.

 

GCSEs We recommend the new OCR or AQA GCSEs in Computer Science/Computing, so that you can gain a grounding in the principles of Computing, though this is also not an admissions requirement to any of our degrees. We look for applicants who have a good range of subjects at GCSE, including English Language at grade 4 (C) or above. We also require a qualification in a physical science; for example, a GCSE at grade 4 (C) or above in Physics or Double Science.
Access to Higher Education Diploma Access courses are offered by local further education (FE) colleges, and most can be completed in one year, or over two years on a part-time or evening-only basis. You will need to make sure that the particular Access course you are considering is appropriate, and syllabuses must contain a significant portion of mathematics that can be considered equivalent to an A-level in Mathematics. Please email cs-ug-admissions@york.ac.uk with the details of the Access course you are taking and we can advise if it provides a suitable preparation for our courses. Applications will be considered on an individual basis.
BTEC DDD - DDM plus a grade A in A level Mathematics. We also consider applicants with a combination of other BTEC Level 3 qualifications and A levels but this must include A level Mathematics. Please email the Department at cs-ug-admissions@york.ac.uk to discuss your combination of qualifications and our grade requirements.
Cambridge Pre-U Pass with D3/D3/M2 - D3/M2/M2 in principal subjects including Mathematics. You will be required to achieve D3 in Mathematics in all cases.
European Baccalaureate Overall average of 80% - 75% with a Mathematics (FIVE-period) by written examination result of at least 75%.
International Baccalaureate Overall grade of 35 - 34 points, with a grade 6 in Mathematics at Higher Level.
Irish leaving Certificate H2,H2,H2,H2,H3,H3- H2,H2,H3,H3,H3,H3. For joint course with Mathematics, we will ask for H1 in Mathematics in all cases.
Scottish Highers / Advanced Highers AB in Advanced Highers, including Mathematics, plus AAAAB - AAABB at Higher Level. We require an A in Mathematics.
Other qualifications
  • Entry requirements for your country.
  • Open University
    We welcome applications offering a mix of OU, A level, and other appropriate qualifications. Applicants can use appropriate Open University (OU) courses to fulfil some or all of our A-level subject requirements. The 30 credit courses Essential Mathematics 1 (MST124) and Essential Mathematics 2 (MST125) can be taken to replace our Maths A-level requirement. You must take both courses and achieve at least 85% (Distinction) in both. Please note that we require Mathematics as your main qualification: from the OU (as above) or as an A level, or equivalent. 
EPQ

We recognise the value of this qualification although it will not be included as a condition of entry. It may be taken into consideration when you receive your results.

English language

If English isn't your first language you may need to provide evidence of your English language ability

Applying

To apply to York, you will need to complete an online application via UCAS (the Universities and Colleges Admissions Service).

Next steps

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Department of Computer Science, Department of Mathematics

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