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Course Overview


Many of the key computing processes and operations such as programming and data analysis are founded on the study and understanding of mathematical disciplines such as algorithms. This degree is ideal for students who have a strong interest and skill in mathematics but want to understand the applied nature of it to the computing science industry. This is an excellent combination of degrees which would open up a range of career opportunities.

This degree programme explores the very close relationship between computing science and mathematics.

Key core courses include; Calculus, Computer Architecture, Programming, Linear Algebra, Software Engineering and Algorithms, to name a few. These courses are complemented with a range of optional courses, such as; Knowledge Based Systems, Systems and Security, Operating Systems and Enterprise Computing. Through course choices you can also choose to advance your knowledge in specific areas, such as Algebra.

LEARNING MODE On Campus Learning
DURATION 48 months

Compulsory Courses

Algebra (NT1006) – 15 Credit Points
Calculus i (NT1005) – 15 Credit Points
Computer Architecture (NT1520) – 15 Credit Points
Calculus II (NT1508) – 15 Credit Points
Set Theory (NT1511) – 15 Credit Points
Professional Skills Part 1 (NT1001)
Object Oriented Programming (NT1527) – 15 Credit Points

Compulsory Courses

Mathematics for Computing Science (NT2013) – 15 Credit Points
Linear Algebra i (NT2008) – 15 Credit Points
Analysis i (NT2009) – 15 Credit Points
Modern Programming Languages (NT2510) – 15 Credit Points
Algorithmic Problem Solving (NT2521) – 15 Credit Points
Analysis II (NT2509) – 15 Credit Points
Linear Algebra II (NT2508) – 15 Credit Points

Compulsory Courses

Principles of Software Engineering (NT3028) – 15 Credit Points
Group Theory (NT3020) – 15 Credit Points
Analysis III (NT3035) – 15 Credit Points
Software Engineering and Professional Practice (NT3528) – 15 Credit Points
Analysis Iv (NT3535) – 15 Credit Points

Optional Courses

Select one of the following

  • Knowledge-Based Systems (NT3025)
  • Operating Systems (NT3026)

Plus one of the following

  • Rings and Fields (NT3531)
  • Differential Equations (NT3536)

Plus one of the following

  • Languages and Computability (NT3518)
  • Distributed Systems and Security (NT3524)
  • Enterprise Computing and Business (NT3525)
Knowledge Based Systems (NT3025) – 15 Credit Points
Operating Systems (NT3026) – 15 Credit Points
Languages and Computability (NT3518) – 15 Credit Points
Distributed Systems and Security (NT3524) – 15 Credit Points
Enterprise Computing and Business (NT3525) – 15 Credit Points
Rings and Fields (NT3531) – 15 Credit Points
Differential Equations (NT3536) – 15 Credit Points

Compulsory Courses

Galois Theory (NT4082) – 15 Credit Points
Joint Honours Computing Project (NT4525) – 30 Credit Points

Optional Courses

Plus further credit points from level 4 NT4 courses and NT4 courses to gain a total of 60 credits in each discipline.

Assessment Methods

Students are assessed by any combination of three assessment methods:

  • coursework such as essays and reports completed throughout the course;
  • practical assessments of the skills and competencies learnt on the course; and
  • written examinations at the end of each course.

The exact mix of these methods differs between subject areas, year of study and individual courses.

Honours projects are typically assessed on the basis of a written dissertation.

Why Study Computing Science and Mathematics?

Why Computing

  • Flexible degrees available, including; Single/Joint Honours BSc, MA or MSci degrees.
  • Extra-curricular activities – Studying Computing is not just about programming. We run a variety of social and professional events regularly including; ACM programming Contest, Code The City and Global Service Jam.
  • Northampton Software Factory – students get paid to work on client projects as a means to develop their software development skills.
  • We run a hugely successful Computing Student Society, where students socialise and enhance their communication skills, and knowledge of hardware and software.
  • Students are given the opportunity to develop their transferable skills and abilities as independent learners.
  • Prizes for academic excellence are awarded in each year of study. These are sponsored by O’Reilly, the British Computer Society, CGI, EDS and Amazon. Projects are often successfully entered for national competition.
  • Industrial Placements – about 50% of our students took part in placements, receiving very good feedback from the employers.
  • We are a very close knit department of students and staff and you will be given the freedom to develop your skills and learning whilst being supported along the way.
  • Our research expertise in Data Science and Data Analysis is at its strongest when we work in close partnership with other disciplines, such as Physics, Maths, Geography, Health and Biology.
  • The Department of Computing Science is a thriving centre of teaching and research, particularly in areas related to Artificial Intelligence and Knowledge-Based Information Management.

Why Mathematics

  • We offer a challenging syllabus which emphasises reasoning, rigour and the argumentative side of mathematics.
  • Our ambition is to give you a sound preparation for a career in which mathematics plays a role, whether it be in research or through applications.
  • We offer excellent student experience delivered by enthusiastic staff combined with small class sizes, approximately 25 or less in the Honours years.
  • We offer a degree in Pure Mathematics and degree in Applied Mathematics to suit your taste and interests. You will only need to make the choice in your 3rd year.
  • We offer a range of choices with your degree programme, across both the sciences (BSc) and the Arts (MA). You can focus your attention entirely on Mathematics or you can spread your interests to combine it with other subjects.
  • We offer attractive joint degrees with Economics, Physics and other disciplines, including languages.
  • The department run a number of key events and seminars throughout the year, giving you the chance to network with students and academics.
  • Interactions with applied maths are fostered through our involvement in the Institute for Pure and Applied Mathematics, comprised of the Department of Mathematics together with the Institute for Complex Systems and Mathematical Biology.


There are many opportunities at the Northampton University to develop your knowledge, gain experience and build a competitive set of skills to enhance your employability. This is essential for your future career success. The Careers Service can help you to plan your career and support your choices throughout your time with us, from first to final year – and beyond.


Your Employability

The University Careers Service aims to inspire and support your career success through collaboration, innovation and professionalism. We provide our students and recent graduates with the advice and information they need for effective career planning and skill development along with opportunities for networking and connecting with employers. 

Entry requirements


SQA Highers

Standard: AABB*

Applicants who have achieved AABB (or better), are encouraged to apply and will be considered. Good performance in additional Highers/ Advanced Highers may be required.

Minimum: BBB*

Applicants who have achieved BBB (or are on course to achieve this by the end of S5) are encouraged to apply and will be considered. Good performance in additional Highers/Advanced Highers will normally be required.

Adjusted: BB*

Applicants who have achieved BB, and who meet one of the widening participation criteria are encouraged to apply and will be considered. Good performance in additional Highers/Advanced Highers will be required.

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.


Standard: BBB*

Minimum: BBC*

Adjusted: CCC*

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

International Baccalaureate

32 points, including 5, 5, 5 at HL*.

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

Irish Leaving Certificate

5H with 3 at H2 AND 2 at H3 OR AAABB*, obtained in a single sitting. (B must be at B2 or above)

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

English Language Requirements

English Language Requirements

To study for an Undergraduate degree at the University of Northampton University it is essential that you can speak, understand, read, and write English fluently. The minimum requirements for this degree are as follows:


IELTS Academic:

OVERALL – 6.0 with: Listening – 5.5; Reading – 5.5; Speaking – 5.5; Writing – 6.0


OVERALL – 78 with: Listening – 17; Reading – 18; Speaking – 20; Writing – 21

PTE Academic:

OVERALL – 54 with: Listening – 51; Reading – 51; Speaking – 51; Writing – 54

Cambridge English Advanced & Proficiency:

OVERALL – 169 with: Listening – 162; Reading – 162; Speaking – 162; Writing – 169

How to apply


This programm by online learning has start dates in September and January of each academic year. 

We recommend that you apply as early as possible; this is particularly important for applicants who may need to allow sufficient time to take an English language test

Documentation required

Applications are made online via the University Application Service, EUCLID.

Please follow the instructions carefully and make sure that you have included the following documentation with your application:

  • Degree certificates showing award of degree.
  • Previous academic transcripts for all past degree programmes.
  • A reference in support or your application. The reference should be academic and dated no earlier than one year from the start of study on the LLM programme.
  • Evidence of English language proficiency, if required.

If you are currently studying for your degree or you are not in a possession of an English test result you may still apply to the programme. Please note that it is your responsibility to submit the necessary documents.

After you apply

After your application has been submitted you will be able to track its progress through the University’s applicant hub.

Application processing times will vary however the admissions team will endeavour to process your application within four to six weeks of submission. Please note that missing documentation will delay the application process.

You will be informed as soon as possible of the decision taken. Three outcomes are possible:

  • You may be offered a place unconditionally
  • You may be offered a conditional place, which means that you must fulfil certain conditions that will be specified in the offer letter. Where a conditional offer is made, it is your responsibility to inform the College Postgraduate Office when you have fulfilled the requirements set out.
  • Your application may be unsuccessful. If your application has not been successful, you can request feedback from us or refer to our guidance for unsuccessful applicants, which explains some of the common reasons we why we reach this decision.
    View the University’s guidance for unsuccessful applicants
Terms and conditions of admissions
  • The University’s terms and conditions form part of your contract with the University, and you should read them, and our data protection policy, carefully before applying.

    Northampton University admissions terms and conditions