About this course
This course is not open to applicants for 2024 entry. Search similar degrees by browsing our course finder.
The computing industry needs mathematicians with computing backgrounds. On this BSc Mathematics with Computer Science degree, you’ll study information systems and computing technologies, and graduate with maths, IT and programming skills. You could move into a career developing operating systems, devising stock-control programmes or writing web-based customer interfaces. You could also make use of your skills at a consultancy firm.
This degree is for you if you have a primary interest in maths and want to develop your interest in computing. The course provides a foundation in maths, covering algebra, calculus and statistics, as well as the practical and theoretical aspects of computer science. You’ll learn about algorithms and programming and investigate problems, such as establishing that a complicated program works in a variety of circumstances.
On this course you’ll:
- develop your abilities in problem-solving, accurate calculation and logical argument
- develop your skills in programming practice including object orientation
- use our student centre, a dedicated learning and social space for maths students
- use mathematical and computational packages such as Python and the statistics package 'R'
You’ll be taught through a combination of lectures and workshops, by leading researchers in fields, such as group theory, computational optimisation and game theory.
We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes.
Our courses are regulated in England by the Office for Students (OfS).
Learn more about these subject areas
Course location
This course is based at Highfield.
Awarding body
This qualification is awarded by the University of Southampton.
Download the Course Description Document
The Course Description Document details your course overview, your course structure and how your course is taught and assessed.
Entry requirements
For Academic year 202526
A-levels
AAA or AABB including Mathematics (grade A)
A-levels additional information
If a STEP paper is taken alongside three A-levels then the offer will be AAB including Mathematics (grade A). We accept either of the two STEP papers. For more details about STEP see the Admissions Testing Service Website.
A-levels with Extended Project Qualification
If you are taking an EPQ in addition to 3 A levels, you will receive the following offer in addition to the standard A level offer: AAB including Mathematics (grade A) and grade A in the EPQ
A-levels contextual offer
We are committed to ensuring that all applicants with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise an applicant's potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
International Baccalaureate Diploma
Pass, with 36 points overall with 18 at Higher Level, including 6 points from Higher Level Mathematics (Preferred Mathematics module is Analysis and Approaches, but Applications and Interpretation is also considered)
International Baccalaureate contextual offer
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
International Baccalaureate Career Programme (IBCP) statement
Offers will be made on the individual Diploma Course subject(s) and the career-related study qualification. The CP core will not form part of the offer. Where there is a subject pre-requisite(s), applicants will be required to study the subject(s) at Higher Level in the Diploma course subject and/or take a specified unit in the career-related study qualification. Applicants may also be asked to achieve a specific grade in those elements. Please see the University of Southampton International Baccalaureate Career-Related Programme (IBCP) Statement for further information. Applicants are advised to contact their Faculty Admissions Office for more information.
BTEC
RQF BTEC
D in the BTEC National Extended Certificate plus AA from two A levels including Mathematics.
DD in the BTEC National Diploma plus A in A level Mathematics.
We do not accept BTEC National Extended Diploma unless A level Mathematics is taken alongside this qualification. If is has, the offer would be DDD plus A in A level Mathematics.
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Additional information
Applicants who have not studied mathematics at A-level can apply for the Engineering/Physics/Mathematics Foundation Year
QCF BTEC
D in the BTEC Subsidiary Diploma plus AA from two A levels including Mathematics.
DD in the BTEC Diploma plus A in A level Mathematics.
We do not accept the BTEC Extended Diploma unless A level Mathematics is taken alongside this qualification. If it has, the offer would be DDD plus A in A level Mathematics.
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Access to HE Diploma
60 credits with a minimum of 45 credits at Level 3, all of which must be at Distinction
Access to HE additional information
Mathematics must be studied to level 3, A-level standard to be considered
Access Offer Contextual
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Irish Leaving Certificate
Irish Leaving Certificate (first awarded 2017)
H1 H1 H2 H2 H2 H2 including Mathematics at H2
Scottish Qualification
Offers will be based on exams being taken at the end of S6. Subjects taken and qualifications achieved in S5 will be reviewed. Careful consideration will be given to an individual’s academic achievement, taking in to account the context and circumstances of their pre-university education.
Please see the University of Southampton’s Curriculum for Excellence Scotland Statement (PDF) for further information. Applicants are advised to contact their Faculty Admissions Office for more information.
Cambridge Pre-U
D3 D3 D3 in three Principal subjects including Mathematics
Cambridge Pre-U additional information
Cambridge Pre-U's can be used in combination with other qualifications such as A Levels to achieve the equivalent of the typical offer
Cambridge Pre-U Offer Contextual
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Welsh Baccalaureate
AAA from 3 A levels including Mathematics or AA from two A levels including Mathematics and A from the Advanced Welsh Baccalaureate Skills Challenge Certificate
Welsh Baccalaureate contextual offer
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
T-Level
There are no T levels accepted for this programme.
Other requirements
GCSE requirements
Applicants must hold GCSE English language (or GCSE English) (minimum grade 4/C)
Find the equivalent international qualifications for our entry requirements.
English language requirements
If English is not your first language, you must show that you can use English to the level we require. Visit our English language pages to find out which qualifications we accept and how you can meet our requirements.
If you are taking the International English Language Testing System (IELTS), you must get at least the following scores:
IELTS score requirements
- overall score
- 6.5
- reading
- 6.0
- writing
- 6.0
- speaking
- 6.0
- listening
- 6.0
If you do not meet the English language requirements through a test or qualification, you may be able to meet them by completing one of our pre-sessional English programmes before your course starts.
You might meet our criteria in other ways if you do not have the qualifications we need. Find out more about:
- our Ignite your Journey scheme for students living permanently in the UK (including residential summer school, application support and scholarship)
- skills you might have gained through work or other life experiences (otherwise known as recognition of prior learning)
Find out more about our Admissions Policy.
Mature applicants
We welcome applications from learners of all ages. Students who are aged 21 and over at the start of their undergraduate course are defined as mature by the University of Southampton. We take a holistic assessment of the application looking for academic ability and commitment to study. Typical entry requirements, which may vary from discipline to discipline, includes for example, evidence of recent formal academic qualifications or professional qualifications, relevant work experience or volunteering. You may also be invited to attend an interview with an Admissions Tutor. For some degree programmes, there may also be a Professional, Statutory and Regulatory Body (PSRB) requirement. We accept many different academic qualifications. For more information, please contact the Admissions Team.
For Academic year 202627
A-levels
AAA or AABB including Mathematics (grade A)
A-levels additional information
If a STEP paper is taken alongside three A-levels then the offer will be AAB including Mathematics (grade A). We accept either of the two STEP papers. For more details about STEP see the Admissions Testing Service Website.
A-levels with Extended Project Qualification
If you are taking an EPQ in addition to 3 A levels, you will receive the following offer in addition to the standard A level offer: AAB including Mathematics (grade A) and grade A in the EPQ
A-levels contextual offer
We are committed to ensuring that all applicants with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise an applicant's potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
International Baccalaureate Diploma
Pass, with 36 points overall with 18 at Higher Level, including 6 points from Higher Level Mathematics (Preferred Mathematics module is Analysis and Approaches, but Applications and Interpretation is also considered)
International Baccalaureate contextual offer
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
International Baccalaureate Career Programme (IBCP) statement
Offers will be made on the individual Diploma Course subject(s) and the career-related study qualification. The CP core will not form part of the offer. Where there is a subject pre-requisite(s), applicants will be required to study the subject(s) at Higher Level in the Diploma course subject and/or take a specified unit in the career-related study qualification. Applicants may also be asked to achieve a specific grade in those elements. Please see the University of Southampton International Baccalaureate Career-Related Programme (IBCP) Statement for further information. Applicants are advised to contact their Faculty Admissions Office for more information.
BTEC
RQF BTEC
D in the BTEC National Extended Certificate plus AA from two A levels including Mathematics.
DD in the BTEC National Diploma plus A in A level Mathematics.
We do not accept BTEC National Extended Diploma unless A level Mathematics is taken alongside this qualification. If is has, the offer would be DDD plus A in A level Mathematics.
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Additional information
Applicants who have not studied mathematics at A-level can apply for the Engineering/Physics/Mathematics Foundation Year
QCF BTEC
D in the BTEC Subsidiary Diploma plus AA from two A levels including Mathematics.
DD in the BTEC Diploma plus A in A level Mathematics.
We do not accept the BTEC Extended Diploma unless A level Mathematics is taken alongside this qualification. If it has, the offer would be DDD plus A in A level Mathematics.
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Access to HE Diploma
60 credits with a minimum of 45 credits at Level 3, all of which must be at Distinction
Access to HE additional information
Mathematics must be studied to level 3, A-level standard to be considered
Access Offer Contextual
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Irish Leaving Certificate
Irish Leaving Certificate (first awarded 2017)
H1 H1 H2 H2 H2 H2 including Mathematics at H2
Scottish Qualification
Offers will be based on exams being taken at the end of S6. Subjects taken and qualifications achieved in S5 will be reviewed. Careful consideration will be given to an individual’s academic achievement, taking in to account the context and circumstances of their pre-university education.
Please see the University of Southampton’s Curriculum for Excellence Scotland Statement (PDF) for further information. Applicants are advised to contact their Faculty Admissions Office for more information.
Cambridge Pre-U
D3 D3 D3 in three Principal subjects including Mathematics
Cambridge Pre-U additional information
Cambridge Pre-U's can be used in combination with other qualifications such as A Levels to achieve the equivalent of the typical offer
Cambridge Pre-U Offer Contextual
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Welsh Baccalaureate
AAA from 3 A levels including Mathematics or AA from two A levels including Mathematics and A from the Advanced Skills Baccalaureate Wales
Welsh Baccalaureate contextual offer
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
T-Level
There are no T levels accepted for this programme.
Other requirements
GCSE requirements
Applicants must hold GCSE English language (or GCSE English) (minimum grade 4/C)
Find the equivalent international qualifications for our entry requirements.
English language requirements
If English is not your first language, you must show that you can use English to the level we require. Visit our English language pages to find out which qualifications we accept and how you can meet our requirements.
If you are taking the International English Language Testing System (IELTS), you must get at least the following scores:
IELTS score requirements
- overall score
- 6.5
- reading
- 6.0
- writing
- 6.0
- speaking
- 6.0
- listening
- 6.0
If you do not meet the English language requirements through a test or qualification, you may be able to meet them by completing one of our pre-sessional English programmes before your course starts.
You might meet our criteria in other ways if you do not have the qualifications we need. Find out more about:
- our Ignite your Journey scheme for students living permanently in the UK (including residential summer school, application support and scholarship)
- skills you might have gained through work or other life experiences (otherwise known as recognition of prior learning)
Find out more about our Admissions Policy.
Mature applicants
We welcome applications from learners of all ages. Students who are aged 21 and over at the start of their undergraduate course are defined as mature by the University of Southampton. We take a holistic assessment of the application looking for academic ability and commitment to study. Typical entry requirements, which may vary from discipline to discipline, includes for example, evidence of recent formal academic qualifications or professional qualifications, relevant work experience or volunteering. You may also be invited to attend an interview with an Admissions Tutor. For some degree programmes, there may also be a Professional, Statutory and Regulatory Body (PSRB) requirement. We accept many different academic qualifications. For more information, please contact the Admissions Team.
Got a question?
Please contact our enquiries team if you're not sure that you have the right experience or qualifications to get onto this course.
Email: enquiries@southampton.ac.uk
Tel: +44(0)23 8059 5000
Course structure
This programme provides a broad programme of education in mathematics, and computer science. You can choose between many final year options in line with your interests and career aims. You can also choose to do an individual and group project in either mathematics or computer science.
You don't need to select your modules when you apply. Your academic tutor will help you to customise your course.
Year 1 overview
You'll cover fundamentals like linear algebra and calculus. While calculus may already be familiar, you’ll gain a deeper understanding of the underlying ideas, before moving on to extend these ideas into higher dimensions. Linear algebra begins with the algebra of vectors and matrices, before delving into more rigorous and abstract concepts, such as groups and fields. You’ll also get a taste of statistics and operational research.
You'll be introduced to the principles of programming using an object-oriented approach, and gain the programming skills needed to continue the study of computer science. You'll use Java as the introductory language.
Year 2 overview
Key modules continue to build your foundational knowledge. These include the rigor of analysis and the techniques of partial differential equations and Fourier theory.
You'll also get a choice of modules to allow you to pursue a specific interest. Options include:
- Group theory: this is one of the great simplifying and unifying ideas in modern mathematics. Group theory encodes symmetries algebraically.
- Fluid dynamics: you’ll apply the techniques you’ve learned from complex numbers and multivariable calculus to model airflow over a wing or water flow through a propeller.
You could also learn about application scripting, database applications or distributed systems.
Year 3 overview
You can choose your final year project in either mathematics or computer science. You might choose to develop a computer application or analyse some of the algorithms used in a Computer Algebra System.
You can also choose from a very wide range of specialist areas. For example, you can choose to do a module called 'maths and your future', which will help to prepare you for the world of work. You'll apply your mathematical learning to a problem that has been raised by a local or national employer. You'll work in small teams to analyse data and other contextual information, drawing conclusions to make recommendations for action.
Other specialist maths topics include graph theory, networks and other topics from data science.
Want more detail? See all the modules in the course.
Modules
The modules outlined provide examples of what you can expect to learn on this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand. Find out why, when and how we might make changes.
For entry in academic year 2025 to 2026
Year 1 modules
You must study the following modules in year 1:
Linear Algebra I
Linear maps on vector spaces are the basis for a large area of mathematics, in particular linear equations and linear differential equations, which form the basic language of the physical sciences. This module restricts itself to the vector space R^n to ...
Linear Algebra II
Building on the intuitive understanding and calculation techniques from Linear Algebra I, this module introduces the concepts of vector spaces and linear maps in an abstract, axiomatic way. In particular, matrices are revisited as the representation of a ...
Programming I
You must also choose from the following modules in year 1:
Year 2 modules
You must study the following modules in year 2:
Analysis
The notion of limit and convergence are two key ideas on which rest most of modern Analysis. This module aims to present these notions building on the experience gained by students in first year Calculus module. The context of our study is: limits and co...
Partial Differential Equations
Differential equations occupy a central role in mathematics because they allow us to describe a wide variety of real-world systems. The module will aim to stress the importance of both theory and applications of differential equations. The module begin...
You must also choose from the following modules in year 2:
Algorithms
Algorithms are systematic methods for solving mathematical problems, such as sorting numbers in ascending order, finding the cheapest way to ship goods on the road network or finding the shortest path in a graph. They can be regarded as practical applicat...
Fields and Fluids
Over the last four hundred years progress in understanding the physical world (theoretical physics) has gone hand in hand with progress in the mathematical sciences, so much so that the terms applied mathematics and theoretical physics have come to be alm...
Financial Mathematics
This module provides a solid mathematical introduction to the subject of Compound Interest Theory and its application to the analysis of a wide variety of complex financial problems, including those associated with mortgage and commercial loans, the valua...
Geometry and Topology
Geometry has grown out of efforts to understand the world around us, and has been a central part of mathematics from the ancient times to the present. Topology has been designed to describe, quantify, and compare shapes of complex objects. Together, geome...
Group Theory
Group theory is one of the great simplifying and unifying ideas in modern mathematics. It was introduced in order to understand the solutions to polynomial equations, but only in the last one hundred years has its full significance, as a mathematical for...
Operational Research II
A variety of OR techniques are covered in lectures and assessed by examination. Workshops develop skills with computer modelling software (discrete-event simulation and linear programming). Other skills that are developed within the module are group w...
Statistical Distribution Theory
Functions of one and several random variables are considered such as sums, differences, products and ratios. The central limit theorem is proved and the probability density functions are derived of those sampling distributions linked to the normal distrib...
Statistical Modelling I
Simple linear regression is developed for one explanatory variable using the principle of least squares. The extension to two explanatory variables raises the issue of whether both variables are needed for a well-fitting model, or whether one is sufficien...
Stochastic Processes
The module will introduce the basic ideas in modelling, solving and simulating stochastic processes.
Vector Calculus and Complex Variable
In the first part of this module we build on multivariate calculus studied in the first year and extend it to the calculus of scalar and vector functions of several variables. Line, surface and volume integrals are considered and a number of theorems inv...
Year 3 modules
You must study the following module in year 3:
You must also choose from the following modules in year 3:
Actuarial Mathematics I
This subject arises through a fusion of compound interest theory with probability theory, and provides the mathematical framework necessary for analysing such contracts, which are essentially long term financial transactions in which the various cash flow...
Actuarial Mathematics II
Synopsis: The module extends the mathematical framework developed in MATH3063 in order to enable modelling of long term financial transactions where the various cash flows are contingent on the death or survival of several lives, or where there are sever...
Advanced Fluid Dynamics
Modelling fluid flow requires us first to extend vector calculus to include volumes that change with time. This will allow us to rephrase Newton’s second law of motion, that the force is equal to the time derivative of the linear momentum, in a way that ...
Advanced Partial Differential Equations
Partial Differential Equations (PDEs) occur frequently in many areas of mathematics. This module extends earlier work on PDEs by presenting a variety of more advanced solution techniques together with some of the underlying theory.
Algebraic Topology
Topology is concerned with the way in which geometric objects can be continuously deformed to one another. It can be thought of as a variation of geometry where there is a notion of points being "close together" but without there being a precise measure o...
Complex Analysis
Complex Analysis is the theory of functions in a complex variable. While the initial theory is very similar to Analysis (i.e, the theory of functions in one real variable as seen in the second year), the main theorems provide a surprisingly elegant, found...
Design and Analysis of Experiments
A well-designed experiment is an efficient way of learning about the world. Typically, an experiment may involve varying several factors and observing the value of a response at settings of combinations of values of these factors. The mathematical challen...
Further Number Theory
Number Theory is the study of integers and their generalisations such as the rationals, algebraic integers or finite fields. The problem more or less defining Number Theory is to find integer solutions to equations, such as the famous Fermat equation x^n ...
Graph Theory
Graph theory was born in 1736 with Euler’s solution of the Königsberg bridge problem, which asked whether it was possible to plan a walk over the seven bridges of the town without re-tracing one’s steps. Euler realised that the problem could be rephrased ...
Hilbert Spaces
This module is an introduction to the functional analysis of Hilbert spaces. The subject of functional analysis builds on the linear algebra studied in the first year and the analysis studied in the second year. Initially pivotal in Fourier theory and di...
Integral Transform Methods
Many classes of problems are difficult to solve in their original domain. An integral transform maps the problem from its original domain into a new domain in which solution is easier. The solution is then mapped back to the original domain with the inver...
Mathematical Biology
Biology is undergoing a quantitative revolution, generating vast quantities of data that are analysed using bioinformatics techniques and modelled using mathematics to give insight into the underlying biological processes. This module aims to give a flavo...
Mathematical Finance
Following an initial discussion of the assessment and measurement of investment risk, mean-variance portfolio theory is introduced and used to determine the risk and return for a portfolio of risky assets, the composition of the optimal such portfolio, an...
Mathematical Programming
- Linear programs: their basic properties; the simplex algorithm. - Duality: the relationship between a linear program and its dual, duality theorems, complementarity, and the alternative; sensitivity analysis. - The interior point method for convex op...
Numerical Methods
Introduce the students to the practical application of a relatively wide spectrum of numerical techniques and familiarise the students with numerical coding. Often in mathematics, it is possible to prove the existence of a solution to a given problem, ...
Optimization
Module Contents: This module discusses continuous optimization problems where either the objective function or constraint functions or both are nonlinear. It explains optimality conditions, that is, which conditions an optimal solution must satisfy. It in...
Relativity, Black Holes and Cosmology
This is a module principally on Einstein's general theory of relativity, a relativistic theory of gravitation which explains gravitational effects as coming from the curvature of space-time. It provides a comprehensive introduction to material which is cu...
Statistical Inference
Statistical inference involves using data from a sample to draw conclusions about a wider population. Given a partly specified statistical model, in which at least one parameter is unknown, and some observations for which the model is valid, it is possibl...
Statistical Modelling II
The module Statistical Modelling II covers in detail the theory of linear regression models, where explanatory variables are used to explain the variation in a response variable, which is assumed to be normally distributed. However, in many practical situ...
Structure and Dynamics of Networks
Networks are ubiquitous in the modern world: from the biological networks that regulate cell behaviour, to technological networks such as the Internet and social networks such as Facebook. Typically real-world networks are large, complex, and exhibit both...
Survival Models
This module introduces some of the fundamental ideas and issues of lifetime and time-to-event data analysis, as used in actuarial practice, biomedical research and demography.
Learning and assessment
The learning activities for this course include the following:
- lectures
- classes and tutorials
- coursework
- individual and group projects
- independent learning (studying on your own)
Course time
How you'll spend your course time:
Year 1
Study time
Your scheduled learning, teaching and independent study for year 1:
How we'll assess you
- coursework, laboratory reports and essays
- design and problem-solving exercises
- developing websites
- individual and group projects
- teamwork
- written and practical exams
Your assessment breakdown
Year 1:
Year 2
Study time
Your scheduled learning, teaching and independent study for year 2:
How we'll assess you
- coursework, laboratory reports and essays
- design and problem-solving exercises
- developing websites
- individual and group projects
- teamwork
- written and practical exams
Your assessment breakdown
Year 2:
Year 3
Study time
Your scheduled learning, teaching and independent study for year 3:
How we'll assess you
- coursework, laboratory reports and essays
- design and problem-solving exercises
- developing websites
- individual and group projects
- teamwork
- written and practical exams
Your assessment breakdown
Year 3:
Academic support
You’ll be supported by a personal academic tutor and have access to a senior tutor.
Course leader
Nils Andersson is the course leader.
Careers and employability
Employability skills
This degree will allow you to develop and evidence subject-specific and targeted employability skills. This includes the required skill set for a range of future careers, further study, or starting your own business.
The skills you can expect to focus on and gain from this course include:
- Research
- Critical thinking
- Self-management
- Communication
- Problem solving
The employability and enterprise skills you'll gain from this course are reflected in the Southampton skills model. When you join us you'll be able to use our skills model to track, plan, and benefit your career development and progress.
Download skills overview
Career pathways
Graduates commonly work in a range of organisations or sectors including:
Education,
Engineering,
Finance,
Banking,
Accountancy,
Government,
Insurance,
IT,
Business consultancy,
Marketing,
Market research,
Health,
Research,
Space science,
Astronomy.
- Data scientist
- Investment analyst
- Research scientist
- Secondary school teacher
- Software engineer
- Statistician
- Machine learning engineer
- Application analyst
- Application developer
- Web developer
- Actuary
- Chartered accountant
- Academic researcher
- Financial manager
- Management consultant
- Meteorologist
- Operational researcher
- Quantity surveyor
- Sound engineer
- Financial trader
- Software engineer
- Auditor
- Data analyst
- Quantitative strategist
- Software developer
- Systems analyst
- Data engineer
- Secondary school teacher
- Trainee accountant
- Actuary
Job prospects for BSc Mathematics with Computer Science graduates
*Example graduate job titles and job prospect statistics taken from The Graduate Outcomes Survey, which gathers information about the activities and perspectives of graduates 15 months after finishing their course.
Year in employment
You can apply for a year in employment placement on this course. This is a great way to improve your employability and confidence in your career prospects. Recommended by 100% of students who've taken part, you can apply for a UK or global placement in any sector.
Careers services and support
We are a top 20 UK university for employability (QS Graduate Employability Rankings 2022). Our Careers, Employability and Student Enterprise team will support you. This support includes:
- work experience schemes
- CV and interview skills and workshops
- networking events
- careers fairs attended by top employers
- a wealth of volunteering opportunities
- study abroad and summer school opportunities
We have a vibrant entrepreneurship culture and our dedicated start-up supporter, Futureworlds, is open to every student.
Your career ideas and graduate job opportunities may change while you're at university. So it is important to take time to regularly reflect on your goals, speak to people in industry and seek advice and up-to-date information from Careers, Employability and Student Enterprise professionals at the University.
Fees, costs and funding
Tuition fees
Fees for a year's study:
- UK students pay £9,535.
- EU and international students pay £25,200.
What your fees pay for
Your tuition fees pay for the full cost of tuition and standard exams.
Find out how to:
Accommodation and living costs, such as travel and food, are not included in your tuition fees. There may also be extra costs for retake and professional exams.
Explore:
Bursaries, scholarships and other funding
If you're a UK or EU student and your household income is under £36,200 a year, you may be able to get a University of Southampton bursary to help with your living costs. Find out about bursaries and other funding we offer at Southampton.
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Get in touch for advice about student money matters.
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You may be able to get a scholarship or grant to help fund your studies.
We award scholarships and grants for travel, academic excellence, or to students from under-represented backgrounds.
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The Student Hub offers support and advice on money to students. You may be able to access our Student Support fund and other sources of financial support during your course.
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Find out about funding you could get as an international student.
How to apply
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Mathematics with Computer Science (BSc) is a course in the Mathematical sciences and Computer science and software engineering subject areas. Here are some other courses within these subject areas:
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- A missing link between continental shelves and the deep sea: Have we underestimated the importance of land-detached canyons?
- A study of rolling contact fatigue in electric vehicles (EVs)
- Acoustic monitoring of forest exploitation to establish community perspectives of sustainable hunting
- Acoustic sensing and characterisation of soil organic matter
- Advancing intersectional geographies of diaspora-led development in times of multiple crises
- Aero engine fan wake turbulence – Simulation and wind tunnel experiments
- Against Climate Change (DACC): improving the estimates of forest fire smoke emissions
- All-in-one Mars in-situ resource utilisation (ISRU) system and life-supporting using non-thermal plasma
- An electromagnetic study of the continent-ocean transition southwest of the UK
- An investigation of the relationship between health, home and law in the context of poor and precarious housing, and complex and advanced illness
- Antibiotic resistance genes in chalk streams
- Being autistic in care: Understanding differences in care experiences including breakdowns in placements for autistic and non-autistic children
- Biogeochemical cycling in the critical coastal zone: Developing novel methods to make reliable measurements of geochemical fluxes in permeable sediments
- Bloom and bust: seasonal cycles of phytoplankton and carbon flux
- British Black Lives Matter: The emergence of a modern civil rights movement
- Building physics for low carbon comfort using artificial intelligence
- Building-resolved large-eddy simulations of wind and dispersion over a city scale urban area
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- Carbon storage in reactive rock systems: determining the coupling of geo-chemo-mechanical processes in reactive transport
- Cascading hazards from the largest volcanic eruption in over a century: What happened when Hunga Tonga-Hunga Ha’apai erupted in January 2022?
- Characterisation of cast austenitic stainless steels using ultrasonic backscatter and artificial intelligence
- Climate Change effects on the developmental physiology of the small-spotted catshark
- Climate at the time of the Human settlement of the Eastern Pacific
- Collaborative privacy in data marketplaces
- Compatibility of climate and biodiversity targets under future land use change
- Cost of living in modern and fossil animals
- Creative clusters in rural, coastal and post-industrial towns
- Deep oceanic convection: the outsized role of small-scale processes
- Defect categories and their realisation in supersymmetric gauge theory
- Defining the Marine Fisheries-Energy-Environment Nexus: Learning from shocks to enhance natural resource resilience
- Design and fabrication of next generation optical fibres
- Developing a practical application of unmanned aerial vehicle technologies for conservation research and monitoring of endangered wildlife
- Development and evolution of animal biomineral skeletons
- Development of all-in-one in-situ resource utilisation system for crewed Mars exploration missions
- Ecological role of offshore artificial structures
- Effect of embankment and subgrade weathering on railway track performance
- Efficient ‘whole-life’ anchoring systems for offshore floating renewables
- Electrochemical sensing of the sea surface microlayer
- Engagement with nature among children from minority ethnic backgrounds
- Enhancing UAV manoeuvres and control using distributed sensor arrays
- Ensuring the Safety and Security of Autonomous Cyber-Physical Systems
- Environmental and genetic determinants of Brassica crop damage by the agricultural pest Diamondback moth
- Estimating marine mammal abundance and distribution from passive acoustic and biotelemetry data
- Evolution of symbiosis in a warmer world
- Examining evolutionary loss of calcification in coccolithophores
- Explainable AI (XAI) for health
- Explaining process, pattern and dynamics of marine predator hotspots in the Southern Ocean
- Exploring dynamics of natural capital in coastal barrier systems
- Exploring the mechanisms of microplastics incorporation and their influence on the functioning of coral holobionts
- Exploring the potential electrical activity of gut for healthcare and wellbeing
- Exploring the trans-local nature of cultural scene
- Facilitating forest restoration sustainability of tropical swidden agriculture
- Faulting, fluids and geohazards within subduction zone forearcs
- Faulting, magmatism and fluid flow during volcanic rifting in East Africa
- Fingerprinting environmental releases from nuclear facilities
- Flexible hybrid thermoelectric materials for wearable energy harvesting
- Floating hydrokinetic power converter
- Glacial sedimentology associated subglacial hydrology
- Green and sustainable Internet of Things
- How do antimicrobial peptides alter T cell cytokine production?
- How do calcifying marine organisms grow? Determining the role of non-classical precipitation processes in biogenic marine calcite formation
- How do neutrophils alter T cell metabolism?
- How well can we predict future changes in biodiversity using machine learning?
- Hydrant dynamics for acoustic leak detection in water pipes
- If ‘Black Lives Matter’, do ‘Asian Lives Matter’ too? Impact trajectories of organisation activism on wellbeing of ethnic minority communities
- Illuminating luciferin bioluminescence in dinoflagellates
- Imaging quantum materials with an XFEL
- Impact of neuromodulating drugs on gut microbiome homeostasis
- Impact of pharmaceuticals in the marine environment in a changing world
- Improving subsea navigation using environment observations for long term autonomy
- Information theoretic methods for sensor management
- Installation effect on the noise of small high speed fans
- Integrated earth observation mapping change land sea
- Interconnections of past greenhouse climates
- Investigating IgG cell depletion mechanisms
- Is ocean mixing upside down? How mixing processes drive upwelling in a deep-ocean basin
- Landing gear aerodynamics and aeroacoustics
- Lightweight gas storage: real-world strategies for the hydrogen economy
- Machine learning for multi-robot perception
- Machine learning for multi-robot perception
- Marine ecosystem responses to past climate change and its oceanographic impacts
- Mechanical effects in the surf zone - in situ electrochemical sensing
- Microfluidic cell isolation systems for sepsis
- Migrant entrepreneurship, gender and generation: context and family dynamics in small town Britain
- Miniaturisation in fishes: evolutionary and ecological perspectives
- Modelling high-power fibre laser and amplifier stability
- Modelling soil dewatering and recharge for cost-effective and climate resilient infrastructure
- Modelling the evolution of adaptive responses to climate change across spatial landscapes
- Nanomaterials sensors for biomedicine and/or the environment
- New high-resolution observations of ocean surface current and winds from innovative airborne and satellite measurements
- New perspectives on ocean photosynthesis
- Novel methods of detecting carbon cycling pathways in lakes and their impact on ecosystem change
- Novel technologies for cyber-physical security
- Novel transparent conducting films with unusual optoelectronic properties
- Novel wavelength fibre lasers for industrial applications
- Ocean circulation and the Southern Ocean carbon sink
- Ocean influence on recent climate extremes
- Ocean methane sensing using novel surface plasmon resonance technology
- Ocean physics and ecology: can robots disentangle the mix?
- Ocean-based Carbon Dioxide Removal: Assessing the utility of coastal enhanced weathering
- Offshore renewable energy (ORE) foundations on rock seabeds: advancing design through analogue testing and modelling
- Optical fibre sensing for acoustic leak detection in buried pipelines
- Optimal energy transfer in nonlinear systems
- Optimal energy transfer in nonlinear systems
- Optimizing machine learning for embedded systems
- Oxidation of fossil organic matter as a source of atmospheric CO2
- Partnership dissolution and re-formation in later life among individuals from minority ethnic communities in the UK
- Personalized multimodal human-robot interactions
- Preventing disease by enhancing the cleaning power of domestic water taps using sound
- Quantifying riparian vegetation dynamics and flow interactions for Nature Based Solutions using novel environmental sensing techniques
- Quantifying the response and sensitivity of tropical forest carbon sinks to various drivers
- Quantifying variability in phytoplankton electron requirements for carbon fixation
- Resilient and sustainable steel-framed building structures
- Resolving Antarctic meltwater events in Southern Ocean marine sediments and exploring their significance using climate models
- Robust acoustic leak detection in water pipes using contact sound guides
- Silicon synapses for artificial intelligence hardware
- Smart photon delivery via reconfigurable optical fibres
- The Gulf Stream control of the North Atlantic carbon sink
- The Mayflower Studentship: a prestigious fully funded PhD studentship in bioscience
- The calming effect of group living in social fishes
- The duration of ridge flank hydrothermal exchange and its role in global biogeochemical cycles
- The evolution of symmetry in echinoderms
- The impact of early life stress on neuronal enhancer function
- The oceanic fingerprints on changing monsoons over South and Southeast Asia
- The role of iron in nitrogen fixation and photosynthesis in changing polar oceans
- The role of singlet oxygen signaling in plant responses to heat and drought stress
- Time variability on turbulent mixing of heat around melting ice in the West Antarctic
- Triggers and Feedbacks of Climate Tipping Points
- Uncovering the drivers of non-alcoholic fatty liver disease progression using patient derived organoids
- Understanding recent land-use change in Snowdonia to plan a sustainable future for uplands: integrating palaeoecology and conservation practice
- Understanding the role of cell motility in resource acquisition by marine phytoplankton
- Understanding the structure and engagement of personal networks that support older people with complex care needs in marginalised communities and their ability to adapt to increasingly ‘digitalised’ health and social care
- Unpicking the Anthropocene in the Hawaiian Archipelago
- Unraveling oceanic multi-element cycles using single cell ionomics
- Unravelling southwest Indian Ocean biological productivity and physics: a machine learning approach
- Using acoustics to monitor how small cracks develop into bursts in pipelines
- Using machine learning to improve predictions of ocean carbon storage by marine life
- Vulnerability of low-lying coastal transportation networks to natural hazards
- X-ray imaging and property characterisation of porous materials
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