Mathematics, BSc Hons

Program Overview

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Mathematics, BSc Hons

Boost your career prospects and expand your knowledge by studying the beauty and importance of mathematics.

Mathematics has never been more relevant. From helping us live in a more sustainable world to using data to understand human behaviour, our maths degree will teach you the power of mathematics and give you the skills to harness it.

Our mathematics graduates have diverse and exciting careers, including roles at Google, KPMG and NATS (formally the National Air Traffic Service). Our alumni have fulfilling careers, such as data scientists in the Prime Minister’s office, air traffic control advisors, and investment bankers. Nobel laureate Sir Charles Kao, the “father of fibre optic technology”, is also one of our graduates.

All of our mathematics degrees are accredited by the Institute of Mathematics and its Applications.

UCAS points

104 (view full requirements)

Course/institution codes

G100 G BSc/Mat

Interested in a different year?

Select your preferred year of entry

School

Computing and Mathematical Sciences

Location

Greenwich Campus

Duration

• 3 years full-time
• 6 years part-time
• 4 years sandwich

Start month

September

Home/international fees 2025/26

£9,535 /£17,500

What you should know about this course

• 96% of our students responded positively about the teaching on their course (National Student Survey 2024)
• You will learn to identify and analyse relevant data from different sources and acquire IT skills using specialist contemporary mathematical software packages
• Learn how to apply mathematical concepts appropriately and enhance your verbal and oral communication skill while developing your ability to work in teams
• Develop skills in logical analysis, deduction, modeling, and problem-solving, enhancing your capacity for independent thinking and interpreting mathematical findings
• Opportunities available for students to study abroad for a year.

Accredited by the Institute of Mathematics & its applications

Entry requirements

UK citizens and permanent residents

• 104 UCAS Tariff points whichmust include A Level Mathematics at grade C. Equivalent qualifications with UCAS Tariff points may be considered alongside the A Level in Mathematics.

We make Contextual offers to this programme. Applicants that meet specific eligibility criteria will be made a contextual offer with a reduced tariff of up to 16 UCAS Tariff points. Other entry requirements such as GCSEs, Interview, etc., will still need to be met. For further information, please see our Contextual Admissions policy.

International entry requirements

The University of Greenwich accepts a broad range of international qualifications for admission to our courses.

For detailed information on the academic and English language requirements, please find your country in our directory.

Alternatively, please contact us at .

How you will learn

Teaching

Learning takes place through a combination of timetabled learning and independent study.

You can view more information about how each module is taught within our 'What you will study' section.

Seminars and workshops enable you to discuss and develop your understanding of topics covered in lectures in smaller groups. You will also be able to meet your personal tutor. Timetabled learning may fall between 9am and 9pm depending on your courses and tutorials.

Class sizes

The typical student intake per year of Mathematical Science courses averages 80-100. Lectures are typically attended in large groups and labs/tutorials by smaller groups. This can vary more widely for modules that are shared between degree courses.

Independent learning

Outside of timetabled sessions, you are also expected to dedicate time (around 24 hours per week) to self-study. This may involve further reading and research, preparing coursework and presentations, and preparing for tests and exams. Our facilities are designed to support you in these activities.

You can use Stockwell Street library and online resources to support further reading and research.

Overall workload

If you are studying full-time, you should expect the workload to be similar to a full-time job. For part-time students, this will reduce in proportion with the number of courses you are studying.

Each module you study towards this degree is worth 15 or 30 credits. These represent around 150 or 300 study hours respectively. If you receive 72 contact hours for a 30-credit module, you should expect to commit 228 hours to independent study to complete it successfully.

In addition, during the week you can also:

• Attend additional support classes in some modules
• Attend guest lectures from industry experts
• Take part in employability and enterprise workshops
• Join student societies.

Assessment

You can view how each module is assessed within our 'What you will study' section.

Each course has formal assessments which count towards your grade. Some courses may also include 'practice' assignments, which help you monitor progress and do not count towards your final grade.

Feedback summary

We aim to give feedback on assignments within 15 working days.

Dates and timetables

The academic year runs from September to June.

Full teaching timetables are not usually available until term has started. For any queries, please use our contact form.

Careers and placements

Will I have a work placement?

This course can be taken in sandwich mode, which means you can take a year to work in industry between your second and final years of study. Sandwich placements are relevant to your degree subject and are paid roles. It is the very best way of preparing you for successfully finding a job quickly when you graduate.

You will also have the option to select a module for which you will be required to undertake a short-term placement. The module will be assessed on your reflection on this placement and how you can apply your knowledge to the workplace. Many placements are found through our network of industry contacts, and students are supported in securing these.

For those students who are interested in pursuing a career in teaching you also have the option to select a module for which you will be required to undertake a short-term placement in a school or college.

How long is my placement?

Sandwich placements last for between 9-13 months. Work-based learning module placements are normally one day a week for either one or two terms depending on the number of credits available from the module.

What are the financial arrangements?

Sandwich placements are paid roles whereas work-based learning module placements are normally unpaid.

What sort of careers do graduates pursue?

Students from Mathematical Sciences have secured placement years at the Department for Work & Pensions, NHS England, NATS, Home Office, HMRC, Department of Health, GSK, Intel and Lloyds Banking Group.

Career opportunities for this course are varied. Most industries are always on the lookout for graduates with intellectual, mathematical and numerical skills that can be applied to a wide range of practical situations.

You may choose to work in a variety of fields such as data science, statistical modelling, operational research, research, internet technology, the pharmaceutical industry, accounting, banking, the Civil Service, teaching, logistics, consultancy, actuarial science, risk management and marketing.

Are internships available?

Students are encouraged to take up Summer internships during the Summer holidays, though it is up to the student to find them. Support is available to students from the Employability and Careers Service when applying for placements and internships.

Do you provide employability services?

Employability activities take place all the time at Greenwich and students are encouraged to take part in as many opportunities as possible. The central Employability and Careers Service provides support for students preparing to apply for placements and graduate roles, such as CV clinics, mock interviews and employability skills workshops. In addition, your School has a dedicated Employability Officer who will be organising work-related activities throughout the year which will help you to build you industry knowledge and networks.

Fees and funding

Tuition fees

Cohort | Full time | Part time | Distance learning
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Home* | £9,535 | £2,384 per 30 credits | N/A
International | £17,500 | £4,375 per 30 credits | N/A

University is a great investment in your future. English-domiciled graduate annual salaries were £10,500 more than non-graduates in 2023 - and the UK Government projects that 88% of new jobs by 2035 will be at graduate level.

(Source: DfE Graduate labour market statistics: 2023/DfE Labour market and skills projections: 2020 to 2035).

Other costs

Technology: There are no compulsory costs beyond your tuition fees. However, we may recommend that you purchase a backup device (such as a portable hard drive).

Software: We provide licenses for certain software to use on your own computers, depending on your course. This may include Virtual Desktop access, Tableau Desktop, Microsoft Azure Devtools for Teaching (including Visio, Project, SQL Server, etc). You will also have access to Nvivo, SPSS Modeler and SPSS Amos. Any licenses for software outside of our range will come at your own cost.

Scholarships and bursaries

We offer a wide range of financial help including scholarships and bursaries.

The Greenwich Bursary

This bursary is worth £700 for new undergraduate students with a low household income, entering Year 0 or 1 who meet the eligibility criteria.

EU Bursary

Following the UK's departure from the European Union, we are supporting new EU students by offering a substantial fee-reduction for studying.

Financial support

We want your time at university to be enjoyable, rewarding, and free of unnecessary stress, so planning your finances before you come to university can help to reduce financial concerns. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Accommodation

Greenwich

Living in halls of residence is a great way to make new friends and get into the social side of university life. With four great locations, all minutes away from the campus and the centre of historic Greenwich , you will be at the heart of one of the most beautiful university settings in the UK.

Rooms start at £146.30/wk and include Wi-Fi, utility bills, access to our on-campus gym and 24-hour security - and just a 10-minute train journey to central London. Students based at our Greenwich campus can also choose to live the Student Village at Avery Hill, which is only a short ride on our free shuttle bus.

Support and advice

Academic skills and study support

We want you to make the most of your time with us. You can access study skills support through your tutor, our subject librarians, and our online academic skills centre.

Where appropriate, we provide support in academic English and mathematics. If you need to use particular IT packages for a specific module, we provide training for this.

Do you provide employability services?

Employability activities take place all the time at Greenwich and students are encouraged to take part in as many opportunities as possible. The central Employability and Careers Service provides support for students preparing to apply for placements and graduate roles, such as CV clinics, mock interviews and employability skills workshops. In addition, your School has a dedicated Employability Officer who will be organising work-related activities throughout the year which will help you to build you industry knowledge and networks.

Program Outline

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Mathematics, BSc Hons - University of Greenwich

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Degree Overview:

This mathematics degree provides students with advanced mathematical methods and techniques necessary for success in mathematics-based roles. The curriculum also includes training in mathematical software, fostering an understanding of the strengths and limitations of computer tools. Students interested in becoming mathematics teachers can gain classroom experience through the Undergraduate Ambassadors Scheme.

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Outline:

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Full-time:

• Year 1:
• Vectors and Matrices (15 credits)
• Mathematical Coding (15 credits)
• Calculus and Mathematical Analysis (30 credits)
• Discrete Mathematics (15 credits)
• Analysis of Data (15 credits)
• Probability and Randomness (15 credits)
• Year 2:
• Linear Algebra and Differential Equations (30 credits)
• Numerical Mathematics (15 credits)
• Operational Research: Linear Programming (15 credits)
• Simulation and Modelling (15 credits)
• Vector Calculus (15 credits)
• Statistical Data Analysis and Time Series (30 credits)
• Year 3:
• Compulsory:
• Choose 1 module from:
• Research Methods and Mathematics Project (30 credits)
• UAS: Mathematics Education and Communication (30 credits)
• Mathematics Work Placement (30 credits)
• Optional:
• Choose 30 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Optional:
• Choose 60 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Modelling and Analysis of Financial Instruments (15 credits)
• Financial Time Series (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Linear Models and Statistical Inference (15 credits)

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Part-time:

• Year 1:
• Mathematical Coding (15 credits)
• Calculus and Mathematical Analysis (30 credits)
• Year 2:
• Vectors and Matrices (15 credits)
• Discrete Mathematics (15 credits)
• Analysis of Data (15 credits)
• Probability and Randomness (15 credits)
• Year 3:
• Operational Research: Linear Programming (15 credits)
• Simulation and Modelling (15 credits)
• Statistical Data Analysis and Time Series (30 credits)
• Year 4:
• Linear Algebra and Differential Equations (30 credits)
• Numerical Mathematics (15 credits)
• Vector Calculus (15 credits)
• Year 5:
• Choose 30 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Choose 30 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Modelling and Analysis of Financial Instruments (15 credits)
• Financial Time Series (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Linear Models and Statistical Inference (15 credits)
• Year 6:
• Choose 30 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Modelling and Analysis of Financial Instruments (15 credits)
• Financial Time Series (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Linear Models and Statistical Inference (15 credits)
• Choose 30 credits from:
• Research Methods and Mathematics Project (30 credits)
• UAS: Mathematics Education and Communication (30 credits)
• Mathematics Work Placement (30 credits)

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Sandwich:

• Year 1:
• Vectors and Matrices (15 credits)
• Mathematical Coding (15 credits)
• Calculus and Mathematical Analysis (30 credits)
• Discrete Mathematics (15 credits)
• Analysis of Data (15 credits)
• Probability and Randomness (15 credits)
• Year 2:
• Linear Algebra and Differential Equations (30 credits)
• Numerical Mathematics (15 credits)
• Operational Research: Linear Programming (15 credits)
• Simulation and Modelling (15 credits)
• Vector Calculus (15 credits)
• Statistical Data Analysis and Time Series (30 credits)
• Year 3:
• Mathematics Sandwich Placement
• Year 4:
• Choose 1 module from:
• Research Methods and Mathematics Project (30 credits)
• UAS: Mathematics Education and Communication (30 credits)
• Mathematics Work Placement (30 credits)
• Choose 30 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Choose 60 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Modelling and Analysis of Financial Instruments (15 credits)
• Financial Time Series (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Linear Models and Statistical Inference (15 credits)

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Assessment:

The program utilizes a combination of assessment methods, including:

• Coursework: Assignments, projects, presentations, and reports.
• Exams: Written examinations at the end of each term or year.
• Practical Assessments: Demonstrations of skills and knowledge in practical settings.

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Teaching:

• Lectures: Large group sessions covering core concepts and theories.
• Seminars and Workshops: Smaller group discussions and activities to deepen understanding and develop critical thinking skills.
• Tutorials: Individual or small group sessions with instructors to address specific questions and provide personalized support.
• Independent Study: Students are expected to dedicate time to self-study, including reading, research, and preparation for assessments.

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Faculty:

• The program is taught by a team of experienced academics and practitioners with industry insights.
• Postgraduate researchers may contribute to lab/tutorial teaching under the supervision of module leaders.
• Over 90% of lecturers teaching undergraduate modules in Mathematical Sciences hold a teaching qualification.

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Careers:

• Graduates from the Mathematics program are well-prepared for a variety of careers in fields such as:
• Data Science
• Statistical Modelling
• Operational Research
• Research
• Internet Technology
• Pharmaceutical Industry
• Accounting
• Banking
• Civil Service
• Teaching
• Logistics
• Consultancy
• Actuarial Science
• Risk Management
• Marketing
• The program offers opportunities for sandwich placements, providing students with practical experience in industry.
• The Employability and Careers Service provides support for students in preparing for placements and graduate roles, including CV clinics, mock interviews, and employability skills workshops.

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Other:

• The program is accredited by the Institute of Mathematics & its Applications.
• Students can access academic skills and study support through their tutors, subject librarians, and the online academic skills center.
• The University provides training in IT packages relevant to specific modules.

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Home (UK students and EU students with settled or pre-settled status):

£9,250 per year

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International:

£17,000 per year