Get degree ideas using our A level explorer tool

Mathematics with Statistics

Entry requirements


A level

B,B,B-B,B,C

112-120 points from 2 or 3 A levels, including 40 points from Mathematics.

112-122 Tariff points from the Access to HE Diploma (Mathematics based).

Cambridge Pre-U score of 54-56, to include a Principal Subject in Mathematics at M2.

GCSE/National 4/National 5

3 GCSEs at grade C or above to include English and Mathematics/3 GCSEs at grade 4 or above to include English and Mathematics.

International Baccalaureate Diploma Programme

29

29 points from the IB Diploma. 655/754 at Higher Level, to include 6 points from Higher Level Mathematics - 29 points from the IB Diploma. 664 at Higher Level, to include 6 points from Higher Level Mathematics.

Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)

H3,H3,H3,H3,H4-H3,H3,H3,H3,H3


To include Higher Level Mathematics at H3.

Acceptable when combined with other qualifications.

Acceptable when combined with other qualifications.

112-120 points to include 40 points from A level Mathematics.

112-120 Tariff points to include 40 points from Advanced Level Mathematics.

UCAS Tariff

112-120

112-120 points from 2 or 3 A levels, or equivalent, including 40 points from Mathematics.

112-120 points from the Advanced Welsh Baccalaureate including 2 A levels one of which must be Mathematics at grade B, plus the Advanced Skills Challenge Certificate.

About this course


This course has alternative study modes. Contact the university to find out how the information below might vary.

Course option

3years

Full-time | 2024

Other options

4 years | Sandwich | 2024

Subjects

Mathematics

Statistics

**This is a Connected Degree**

Portsmouth is the only University in the UK with the flexibility to choose when to do an optional paid placement or self-employed year. Either take a placement in your third year, or finish your studies first and complete a placement in your fourth year. You can decide if and when to take a placement after you've started your course.

**Overview**

Mathematics and statistics underpin processes that keep society functioning. Clinical trials analysing life-threatening illnesses, supermarkets managing their product buying and distribution, and insurance companies assessing their exposure to risks all use sophisticated statistical models.

You'll build the analytical abilities you need to make sense of the vast amount of data available to organisations so they can make faster, smarter decisions. You'll discover how to apply mathematical models to the study of biology and infectious diseases, and model operational research solutions to areas such as planning, scheduling, forecasting and supply chain management.

At the end of the course, you'll have taken the first steps towards becoming a Chartered Mathematician, and be set for a career in industries such as government research, finance, healthcare and marketing.

**Course highlights**

- Develop your knowledge of fundamental topics such as mathematical models, statistical theory and methods, operational research and quantitative supply chain management

- Choose specialist modules that match your interests and career ambitions, such as mathematics for finance, astrophysics, cosmology, financial derivative pricing and decision modelling

- Learn to use industry-standard mathematical, statistical and operational research software

- Apply your skills on optional work placements in the community, such as assisting math teachers in local schools

- Learn from renowned researchers such as Dr Jamie Foster, who's calculated the formula to the perfect cup of coffee by modelling the brewing process – an efficient solution that could reduce waste and make the process more sustainable

**Accreditation**
This course is accredited by the Institution of Mathematics and Its Applications (IMA).

**Careers and opportunities**
A degree in mathematics shows that you have the ability to think analytically and conveys an intellectual maturity that many employers look for when they hire staff.

You'll graduate with the skills and understanding to work in many related areas, including:

- mathematical modelling

- marketing

- manufacturing

- government research

- retail management

- the police and armed services

Our graduates have worked for companies such as:

- Leeds Institute of Clinical Trials Research

- Eddie Stobart Logistics

- Lloyds Banking

- Babcock International Group

- Tata Consultancy Services

Our graduates now work in roles including:

- data scientist

- trainee accountant

- business analyst

- teacher

- medical statistician

**Placement year (optional)**

Taking an optional placement year gives you the experience you need to increase your chances of landing your perfect role after graduation. You could work in a paid role in a professional organisation or set up your own business, giving you the chance to grow your professional network and enhance your CV.

We'll give you all the support you need to find a placement that prepares you for your career, and we'll continue to mentor you throughout your placement.

Previous students have taken placement roles such as:

- logistics intern

- data analyst

- business intern

They've completed placements at organisations including:

- Office for National Statistics

- Rolls Royce

- BMW

Modules

Year 1

Core modules in this year include:
- Calculus I – 20 credits
- Computational Mathematics – 20 credits
- Linear Algebra – 20 credits
- Mathematical Foundations – 20 credits
- Mathematical Models – 20 credits
- Statistical Theory and Methods I – 20 credits

There are no optional modules in this year.

Year 2

Core modules in this year include:
- Applications of Mathematics and Graduate Skills – 20 credits
- Calculus II – 20 credits
- Statistical Theory and Methods II – 20 credits

Optional modules in this year currently include:
- Algebraic Structures and Discrete Mathematics – 20 credits
- Mathematics for Finance – 20 credits
- Mechanics and Dynamics – 20 credits
- Modern Foreign Language (Institution-wide Language Programme) – 20 credits
- Numerical Analysis – 20 credits
- Operational Research – 20 credits
- Real and Complex Analysis – 20 credits
- Universe: Planetary Systems, Stars and Galaxies – 20 credits

Placement year (optional)

After your second year, you can do an optional work placement year to get valuable longer-term work experience in the industry. Previous students have been on placement with household names, including: IBM, L’Oréal, GlaxoSmithKline (GSK), Transport for London. We’ll help you secure a work placement that fits your aspirations. You’ll get mentoring and support throughout the year.

Year 3

Core modules in this year include:
- Statistical Learning – 20 credits
- Statistics Methods in Health Research and Social Science – 20 credits

Optional modules in this year currently include:
- Advanced Decision Modelling – 20 credits
- Financial Derivative Pricing – 20 credits
- Introduction to General Relativity and Cosmology – 20 credits
- Modern Astrophysics 1 – 20 credits
- Nonlinear Dynamics – 20 credits
- Partial Differential Equations and Their Applications – 20 credits
- Project – 20 credits
- Quantitative Supply Chain Management – 20 credits
- Stochastic Processes – 20 credits
- Undergraduate Ambassador – 20 credits

We use the best and most current research and professional practice alongside feedback from our students to make sure course content is relevant to your future career or further studies.

Therefore, some course content may change over time to reflect changes in the discipline or industry and some optional modules may not run every year. If a module doesn’t run, we’ll let you know as soon as possible and help you choose an alternative module.

Assessment methods

You’ll be assessed through:

- examinations
- written coursework
- multiple-choice tests
- presentations
- mini projects
- a major piece of supervised independent work

You’ll be able to test your skills and knowledge informally before you do assessments that count towards your final mark.

You can get feedback on all practice and formal assessments so you can improve in the future.

The way you’re assessed may depend on the modules you select. As a guide, students on this course last year were typically assessed as follows:

- Year 1 students: 65% by written exams and 35% by coursework
- Year 2 students: 55% by written exams and 45% by coursework
- Year 3 students: 62% by written exams, 2% by practical exams and 36% by coursework

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£9,250
per year
International
£17,900
per year
Northern Ireland
£9,250
per year
Republic of Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

University of Portsmouth

Department:

Faculty of Technology

Read full university profile

What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

90%
Mathematics

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Mathematics

Teaching and learning

82%
Staff make the subject interesting
93%
Staff are good at explaining things
78%
Ideas and concepts are explored in-depth
81%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

87%
Library resources
87%
IT resources
90%
Course specific equipment and facilities
90%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

93%
UK students
7%
International students
65%
Male students
35%
Female students
55%
2:1 or above
10%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
D
C

Statistics

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.


Who studies this subject and how do they get on?

93%
UK students
7%
International students
66%
Male students
34%
Female students
56%
2:1 or above
10%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

A
D
B

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Mathematics

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£20,821
low
Average annual salary
97%
high
Employed or in further education
78%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

41%
Business, finance and related associate professionals
13%
Business, research and administrative professionals
8%
Information technology and telecommunications professionals

Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.

Statistics

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£20,821
low
Average annual salary
97%
high
Employed or in further education

Top job areas of graduates

41%
Business, finance and related associate professionals
14%
Business, research and administrative professionals
8%
Information technology and telecommunications professionals

The business and research sectors worry that the UK hasn't got enough people with good statistics skills, and as stats are at the heart of so much of the economy, and we only have a few hundred graduates a year in the discipline, this type of degree can be very useful and versatile. The finance industry is very popular with this group, and they're far more likely to be working in London than most other graduates. And who can blame them — statistics graduates starting work in London were earning an average of nearly £29k just six months after leaving university. There is also demand from the Scottish finance sector in Edinburgh and Glasgow - particularly in banking and insurance. But a good statistician can find work almost anywhere that data can be analysed - which, in an online world, is almost anywhere - and many industries struggle to find enough statisticians to fulfil demand, so stay flexible and you can find a variety of options.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Mathematics

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£21k

£21k

£28k

£28k

£34k

£34k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Statistics

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£21k

£21k

£28k

£28k

£34k

£34k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Explore these similar courses...

Higher entry requirements
Durham University | Durham
Mathematics and Statistics (3 years)
BSc (Hons) 3 Years Full-time 2024
UCAS Points: 160-168
Lower entry requirements
University of York | York
Mathematics and Statistics (Equal)
BSc (Hons) 3 Years Full-time 2024
UCAS Points: 56-144

Share this page

This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

Have a question about this info? Learn more here

This is the percentage of applicants to this course who received an offer last year, through Ucas.

Have a question about this info? Learn more here

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

Have a question about this info? Learn more here

Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

Have a question about this info? Learn more here

Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

Have a question about this info? Learn more here

This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

Have a question about this info? Learn more here

Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

Have a question about this info? Learn more here

Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

Have a question about this info? Learn more here

The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

Have a question about this info? Learn more here