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Computer Science & Mathematics BSc (Hons)

UCAS code: CM17

Study the engine that drives computer science – mathematics. Follow our advanced mathematics programme and explore modern computing. Mix theory with practice in areas like big data on a degree awarded initial accreditation by BCS, the Chartered Institute for IT (subject to re-approval).

Overview

Course length: 3 years full-time
Typically 4.5 years part-time
Start dates: September 2023
Location: Edge Hill University
Example offers: BBC-BBB (A Level) or DMM (BTEC) View full entry criteria
Subject(s): Computing and IT
Department: Computer Science
A student reads notes in a computer laboratory in the Tech Hub.

Join the ranks of modern computer scientists. Hone your skills as a mathematician. Put your new-found technical knowledge into practice in our state-of-the-art £13million Tech Hub, or out on work placement.

University-level mathematics for computer science offers a host of fascinating theorems to explore. Uncover the role of calculus across the physical sciences. Study the properties of the natural number system and learn the pure maths vital to almost all modern science.

What you learn here makes a difference in the real world: artificial intelligence, software engineering and mobile applications are rooted in mathematics and computer science. We help you develop professional skills in programming, computer systems, and web development.

High-level problem-solving is integral to a degree in computer science and mathematics. You can expand your analytical skills in rapidly developing areas like data science and data modelling. You’ll graduate with the in-demand specialist skills and knowledge that employers are looking for.

BCS, The Chartered Institute for IT logo.

Course features

  • Professional accreditation

  • Sandwich year option available

  • Studying abroad option available

  • Work placement opportunity

What you'll study

Understanding fundamental mathematical concepts like differential calculus will be an important part of your first year. You’ll also explore core principles behind computer systems like networking and systems analysis. We’ll introduce you to the problem-solving nature of programming and help you discover the range of career options available to graduates in computer science and mathematics.

Compulsory modules:

Expand all

Computer Systems Architecture and Networks

Differential Calculus

Foundations of Computer Science

Professional Practice 1

Programming 1

Programming 2

In Year 2, you’ll use your intuition and imagination to study the maths driving the digital revolution. You’ll simulate life in a digital team as you turn theory into practice on our employability module. Developing skills in security, databases, artificial intelligence and machine learning will set you up for an optional year in industry before Year 3.

Compulsory modules:

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Applications of Calculus

Database Systems

Introduction to Artificial Intelligence and Machine Learning

Introduction to Security

Linear Algebra

Professional Practice 2

In Year 3, you’ll become an independent, original and creative mathematician and computer scientist. You’ll learn to investigate and solve complex mathematical problems. You’ll study the thriving field of statistical modelling and explore the delights of number theory. Before graduation, we’ll help you choose the right path forwards with a focus on AI, computer systems, or integral calculus.

Compulsory modules:

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Big Data

Integral Calculus

Research and Development Project

Secure Complex Systems

Statistical Modelling

How you'll study

We will ensure you gain relevant experience and use industry standard equipment. Computing involves considerable practical activity and many classes are based in computer workshops, focusing on student activity as a means of learning. We introduce theoretical concepts by building on concrete practical activity.

To enhance your employability you will be given opportunities to work together and develop the essential people skills to complement your technical ability, as well undertake a work placement to enable you to relate theory to practice and build your transferable skills.

Timetables for your first week are normally available at the end of August prior to enrolment in September. You can expect to receive your timetable for the rest of the academic year during your first week. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week. Wednesday afternoons are normally reserved for sports and cultural activities.

How you'll be assessed

You will be assessed through a combination of practical exercises, reports, essays and examinations. We want you to develop the ability to work effectively both independently and as part of a team, therefore assessment includes both of these forms, though the emphasis is strongly on individual work.

Who will be teaching you

You will be taught by staff who are passionate about student learning and development. The programme team includes specialists in computing and active researchers in areas including data science, web information architecture, visualisation and intelligent systems. Academic staff are regular contributors to conferences and journals.

Entry criteria

Entry requirements

Typical offer 112-120 UCAS Tariff points. This must include A Level Mathematics at Grade B or above.

Example offers

Qualification Requirement
A Level BBC-BBB.
BTEC Extended Diploma (or combination of BTEC QCF qualifications) Distinction, Merit, Merit (DMM).
International Baccalaureate (IB) We are happy to accept IB qualifications which achieve the required number of UCAS Tariff points. Subject-specific requirements at Higher Level (HL) Grade 5 may apply.
Access to Higher Education Diploma 45 credits at Level 3, for example 15 credits at Distinction and 30 credits at Merit or 24 credits at Distinction and 21 credits at Merit. The required total can be attained from various credit combinations.

Please note, the above examples may differ from actual offers made. A combination of A Level and BTEC awards may also be accepted.

If you have a minimum of two A Levels (or equivalent), there is no maximum number of qualifications that we will accept UCAS points from. This includes additional qualifications such as Extended Project Qualification (EPQ), AS Levels that haven't been continued to A Level, and General Studies AS or A Level awards.

English language requirements

International students require IELTS 6.0, with a score no lower than 5.5 in each individual component, or an equivalent English language qualification.

If your current level of English is half a band, one band, or one-and-a-half bands lower, either overall or in one or two elements, you may want to consider our Pre-Sessional English course.

How to apply

Apply full-time

Apply online through UCAS

Read our guide to applying through UCAS to find out more about the application process.

Apply part-time

Apply directly to Edge Hill University

Complete our online application form if you want to study this course on a part-time basis.

International

Apply as an international student

Please see our international student pages for further information about how to apply as a prospective international student.

Should you accept an offer of a place to study with us and formally enrol as a student, you will be subject to the provisions of the regulations, rules, codes, conditions and policies which apply to our students. These are available at www.edgehill.ac.uk/studentterms.

Did you know?

If you join a full time undergraduate degree at Edge Hill University, we will guarantee you the offer of a room in our halls of residence for the first year of your course.

Discover our accommodation

Facilities

Tech Hub.The Department of Computer Science is based in the state-of-the-art £13million Tech Hub. This purpose-built development offers highly contemporary suites of outstanding facilities for Computer Science and Engineering students. Our modern computing and engineering laboratories are equipped with comprehensive test and measurement equipment, high-specification computers, high-resolution screens and the latest hardware and software.

A four-screen CAVE (Computer Augmented Virtual Environment) provides a super immersive 3D virtual environment, enabling users to immerse themselves in a virtual room and experience real life scenarios in 4K resolution. There are also specialist laboratories for networking and games programming, in addition to a specialist research laboratory, open access laboratory, a Harvard style lecture theatre, and ‘The Hatchery’, a working space for new business ideas.

Where you'll study

Tech Hub

Learning resources

Learning resources include digital oscilloscopes, signal generators, robots and a robotics simulator, wired and wireless networking hardware, graphics software, web development tools, software development environments, big data servers, eye trackers, giant 3D interactive teaching screens, and other specialist software required for studying forensics and internet security techniques.

Finance

Tuition fees

UK Full-Time

£9,250

a year

UK Part-Time

£77 per credit

for 360 credits

International

£15,000

a year

The University may administer a small inflationary rise in tuition fees, in line with Government policy, in subsequent academic years as you progress through the course.

EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme, as well as Irish nationals, may be eligible for the UK tuition fee rate.

Financial support

Subject to eligibility, UK students joining this course can apply for a Tuition Fee Loan from the Government to cover the full cost of tuition fees. UK students enrolling on the course may also be eligible to apply for additional funding to help with living costs. Please view the relevant Money Matters guide for comprehensive information about the financial support available to eligible UK students.

EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme may be eligible to apply for financial support. Irish nationals should ordinarily apply to Student Universal Support Ireland (SUSI). If you are an EU student who does not have settled or pre-settled status, or are an international student from a non-EU country, please see our international student finance pages.

Tuition fees

Tuition fees for students joining this course in academic year 2023/24 are still to be announced. We will update this information as soon as it is available.

EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme, as well as Irish nationals, may be eligible for the UK tuition fee rate.

Financial support

Financial support arrangements for eligible UK students joining this course in academic year 2023/24 are still to be announced. You are advised to check this page regularly and once the position has been confirmed we will update this information.

EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme may be eligible to apply for financial support. Irish nationals should ordinarily apply to Student Universal Support Ireland (SUSI). If you are an EU student who does not have settled or pre-settled status, or are an international student from a non-EU country, please see our international student finance pages.

Your future career

You’ll be in high demand as a graduate with a computer science and mathematics degree. Your skills and knowledge mean you’ll be ideal for well-paid careers in a host of industries, including:

  • software and game development
  • hardware
  • film and TV
  • banking and business
  • manufacturing and industry
  • medical technology
  • the automotive industry

Our BSc Computer Science & Mathematics can take you around the world to work for companies like Apple, Jaguar Land Rover, Samsung, the NHS and Barclays. We know because past graduates have done just that.

Imagine yourself applying for jobs like app developer, computer programmer, or systems analyst. You could also work as a research engineer or software developer. You could go into machine learning, software testing, app development, or paying it all back by teaching.

The list of jobs you’ll have the skills to do is extensive. By the time you graduate, there’ll be more opportunities in emerging fields like big data in roles that don’t yet exist.

Course changes

Every effort has been made to ensure the accuracy of this information, however our courses are subject to ongoing review and development. Changing circumstances may necessitate alteration to, or the cancellation of, courses.

Changes may be necessary to comply with the requirements of professional bodies, revisions to subject benchmarks statements, to keep courses updated and contemporary, or as a result of student feedback. We reserve the right to make variations if we consider such action to be necessary or in the best interests of students.

Track changes to this course

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