Course summary
Overview Mathematics has shaped societies for thousands of years – from the Ancient Babylonians to the present day. Continue the tradition of unpicking complex mathematical problems that could help monitor the spread of disease, predict the route of a cloud of ash from a volcano and forecast climate change. Study core mathematical topics including analysis, algebra, calculus, statistics, operational research and modelling. Then shape your degree to your ambitions and interests in following years, by specialising in advanced principles such as financial modelling, non-linear dynamics and cosmology. When you graduate, you’ll be in high demand, especially in the expanding technology, data and machine learning industries. Course highlights
- Delve into topics including deterministic chaos, partial differential equations, health research and abstract algebra
- Learn from expert researchers such as Dr. Michael Gnacik, who provided data visualisation for the University's Covid testing programme as member of the Institute of Cosmology and Gravitation's Covid Response Team
- Develop coding skills in programming languages including Python
- 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
- research analyst
- service reliability engineer
- accountant
- mathematics teacher
- credit risk analyst
- data scientist
- accounts payable clerk
- service reliability engineer
- NATS (National Air Traffic Services)
- TSB
- Oakbrook Finance Ltd
- NHS
- Carnival UK
- The Guide Dogs for the Blind Association
- Portsmouth Grammar School
- innovation and infrastructure specialist
- counter terrorism and security
- student research analyst
- IBM
- Defence Science and Technology Laboratory
- British Telecom
Modules
Year 1 Core modules in this year include:
- Calculus I
- Computational Mathematics
- Linear Algebra
- Mathematical Foundations
- Mathematical Models
- Statistical Theory and Methods I
- Applications of Mathematics and Graduate Skills
- Calculus II
- Real and Complex Analysis
- Algebraic Structures and Discrete Mathematics
- Institution-wide Language Programme
- Mathematics for Finance
- Mechanics and Dynamics
- Numerical Analysis
- Operational Research
- Statistical Theory and Methods II
- Universe: Planetary Systems, Stars and Galaxies
- Partial Differential Equations and Their Applications
- Advanced Decision Modelling
- Financial Derivative Pricing
- Introduction to General Relativity and Cosmology
- Modern Astrophysics 1
- Nonlinear Dynamics
- Project
- Quantitative Supply Chain Management
- Statistical Learning
- Statistics Methods in Health Research & Social Science
- Stochastic Processes
- Undergraduate Ambassador
Assessment method
You’ll be assessed through:
- examinations
- written coursework
- multiple-choice tests
- presentations
- mini projects
- a major piece of supervised independent work
- Year 1 students: 65% by written exams and 35% by coursework
- Year 2 students: 58% by written exams and 42% by coursework
Professional bodies
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- Mathematics and its Applications, Institute of
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G100
- Institution code:
- P80
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
- Year 2
- Year 3
Entry requirements for advanced entry (i.e. into Year 2 and beyond)
We welcome applications for advanced entry. If you’d like to apply for advanced entry, you need to select the required year when you complete your UCAS application.
This course may be available at alternative locations, please check if other course options are available
Entry requirements
Qualification requirements
English language requirements
Test | Grade | Additional details |
---|---|---|
IELTS (Academic) | 6 | English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5. |
PTE Academic | 54 | An overall score of 54 with a minimum of 51 in each skill. |
TOEFL (iBT) | 79 | 79 with a minimum of 18 in Reading, 17 in Listening, 20 in Speaking and 17 in Writing. |
Cambridge English Advanced | Cambridge English: Advanced (CAE) taken after January 2015. An overall score of 169 with no component score less than 162. | |
Cambridge English Proficiency | Cambridge English: Proficiency (CPE) taken after January 2015. An overall score of 169 with no component score less than 162. | |
Trinity ISE | Pass | Trinity College Integrated Skills in English (ISE) Level III with a Pass in all 4 components |
Unistats information
The student satisfaction data is from students surveyed during the Covid-19 pandemic. The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
EU | £9250 | Year 1 |
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
Channel Islands | £9250 | Year 1 |
Republic of Ireland | £9250 | Year 1 |
International | £18800 | Year 1 |
Additional fee information
Provider information
University of Portsmouth
University House
Winston Churchill Avenue
Portsmouth
PO1 2UP