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MMath (Hons) Maths and Computer Science

Study complementary subjects to become fluent in both.

Year of entry: 2020

UCAS code

GG14

Institution code

Y50

Length

4 years full-time (plus optional placement year)

Typical offer

AAA/AAB (full entry requirements)

Start date

September 2020 (term dates)

UK/EU fees

£9,250 per year (2020/21)

International fees

£22,080 per year (2020/21)

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Study both Maths and Computer Science equally, and leave with an advanced Masters level qualification. 

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

On this course you'll gain an equal and thorough grounding in Computer Science and Mathematics in your first two years, introducing the fundamental concepts in both subjects, whilst gaining an insight into the interplay between the two. In your third and fourth years, you can choose to weight your studies towards either subject, or keep the split the same. Your final year project can be in either subject.

Study abroad

There are opportunities for you to spend time abroad during your course:

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.

Core modules

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.

Computer Science

Core modules
  • Theory 3: Computational Complexity (10 credits)
  • Software 3: Functional Programming with Applications (10 credits)
  • Data 2: Data Analysis and Management (10 credits)
  • Intelligent Systems 1: Search and Representation (10 credits)

Option modules

Choose one from:
  • Systems and Devices 1: Introduction to Computing Systems (20 credits)
  • Intelligent Systems 2: Machine Learning and Optimisation (20 credits)

Mathematics

Core modules

Year 3

When you reach Year 3, you will do 60 credits of Maths modules and 60 credits of Computer Science modules. You'll be able to select the modules from a list encompassing modules in both departments.

Option modules

Computer Science

Module options for Computer Science are drawn from core streams and other advanced topic areas, such as:

  • Real-time systems
  • Embedded systems
  • Neural networks
  • Game AI
  • Machine learning
  • Probabilistic graphical models
  • Specification, analysis and verification of systems
  • Computer vision
  • Computing by graph transformation

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

Year 4

In your final year, you can choose to weight your studies more towards Computer Science or Mathematics.

Project

Computer Science

Option modules

You must choose Maths and Computer Science modules totalling 70 credits.

Module options for Computer Science are drawn from core streams and other advanced topic areas, such as:

  • Real-time systems
  • Embedded systems
  • Neural networks
  • Game AI
  • Machine learning
  • Probabilistic graphical models
  • Specification, analysis and verification of systems
  • Computer vision
  • Computing by graph transformation
  • Constraint programming

Mathematics 

Option modules

You must choose Maths and Computer Science modules totalling 70 credits. 

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 and higher level 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, justifying the principles chosen for such critiques, and developing their own lines of well-founded reasoning.
  • 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, and informed by current research and scholarship.
  • Conduct an independent investigation into a specialised area of Mathematics or Computer Science, at a level which engages with current research or cutting edge developments, 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 or commercial imperative.
  • Work effectively in a team, formulating and fulfilling obligations towards achieving goals by managing workloads, setting and meeting deadlines, and optimising resources, and taking leadership and responsibility for aspects of the work planned.
  • Communicate complex ideas in Computer Science and Mathematics in a clear, unambiguous and organised manner, at a level appropriate for the intended recipients, and also present an effective summary of these ideas for an expert audience.
  • Appreciate the wider context of Mathematics and Computer Science and their component disciplines, understand how these can contribute to and impact on society, develop an awareness of key legal and ethical issues, and operate as responsible professionals.

Fees and funding

Annual tuition fees

UK/EU International
£9,250 £22,080

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'll confirm more funding opportunities for students joining us in 2020/21 throughout the year.

We have a number of 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 study and learn with academics who are active researchers, experts in their field and have a passion for their subjects. 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 hours300 hours228 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 classes, 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 1,200 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%100%50%
Coursework7%8%0%47%
Practical exams8%5%0%3%

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

AAA/AAB including A in Mathematics

Access to Higher Education Diploma We accept the Access to Higher Education Diploma. The syllabus must contain a significant portion of Mathematics that is considered equivalent to A level standard. Applications will be considered on an individual basis - please contact the Department before you apply.
BTEC National Extended Diploma DDD and grade A in A level Mathematics (or equivalent qualification). We consider applicants with a combination of other BTEC Level 3 qualifications, and this must include a grade A in A level Mathematics (or equivalent qualification). Please contact us to discuss your combination of qualifications.
Cambridge Pre-U D3/D3/D3 - D3/D3/M2 including D3 in Mathematics
European Baccalaureate 85% - 80% overall, including at least 85% in Mathematics
International Baccalaureate 36 - 35 points overall, including grade 6 in Higher Level Mathematics
Other qualifications We welcome applications offering a mix of OU, A level and other appropriate qualifications. Applications will be considered on an individual basis: please contact the Department before you apply.

We require a qualification in a physical science; for example, a GCSE at grade 4 (C) or above in Physics or Double Science, or Science and Additional Science.

English language

If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:

Qualification Minimum requirement
IELTS 6.5, with a minimum of 6.0 in each component
PTE Academic 61, with a minimum of 55 in each component
GCSE/IGCSE/O level English Language (as a first or second language) Grade C
C1 Advanced and C2 Proficiency 176, with a minimum of 169 each component
TOEFL 88 overall, with a minimum of 21 in Listening, 21 in Reading, 21 in Speaking, 21 in Writing
Trinity ISE III Merit in all components

For more information see our undergraduate English language requirements.

If you've not met our English language requirements

You may be eligible for one of our pre-sessional English language courses. These courses will provide you with the level of English needed to meet the conditions of your offer.

The length of course you need to take depends on your current IELTS scores and how much you need to improve to reach our English language requirements.

After you've accepted your offer to study at York, we'll confirm which pre-sessional course you should apply to via You@York.

Applying

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

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Department of Computer Science

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