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University of Plymouth

Mathematics with High Performance Computing

UCAS Code: G1I1

Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements


112 to 128 UCAS points to include a minimum of 2 A levels including Grade B in Mathematics or Further Mathematics. Excluding General Studies.

Considered in combination alongside A Level Mathematics or Further Mathematics.

Considered in combination

Interview and diagnostic test required. Standard offer would then be to Pass Access to HE Diploma with at least 33 credits at Merit and/or Distinction and to include at least 12 credits in Mathematics units with Merit.

Considered in combination alongside A Level Mathematics or Further Mathematics.

Considered in combination

International Baccalaureate Diploma Programme

27-29

27 - 29 overall to include Grade 5 in Higher Level Mathematics. English Language accepted within.

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

H2,H2,H2,H3,H3

including Mathematics.

Considered in combination alongside A Level Mathematics or Further Mathematics.

Considered in combination alongside A Level Mathematics or Further Mathematics.

Considered in combination with A Level Mathematics or Further Mathematics.

Considered in combination with A Level Mathematics or Further Mathematics.

Considered in combination with A Level Mathematics or Further Mathematics.

Considered following Interview. Standard offer would be in the range of DMM to DDM and to include a Distinction in a Mathematics unit.

Considered in combination with A Level Mathematics or Further Mathematics.

Considered in combination alongside A Level Mathematics or Further Mathematics.

120 points including a Grade B in Advanced Highers Mathematics.

Considered in combination with Advanced Highers

UCAS Tariff

112-128

To include a minimum of 2 A levels, including grade B in Mathematics or Further Mathematics. Excluding General Studies.

Considered in combination alongside A Level Mathematics or Further Mathematics.

Considered in combination

50%
Applicants receiving offers

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 | 2019

Other options

4 years | Sandwich | 2019

Subjects

Mathematics

High performance computing

Supercomputers represent the frontier of numerical research. They need special programming so they can be used for simulations and extracting information from big data. As an expert in high performance computing (HPC), you will understand the logic and define the algorithms to harness this technology. The course covers simulations and data analysis including extracting information from big data. Complete this degree through a project on our HPC cluster with the help of a leading expert.

We’re very proud of being top in the Guardian Mathematics University League Table for 2019 for satisfaction with the course. We are also fourth for satisfaction with mathematics teaching. This is part of a record of students regularly saying that they enjoy our degrees and teaching.

* Master the algorithms and logic underlying programming using Python (a modern, object-orientated, programming language), Matlab, the statistics language R and Simul8.

* Carry out a project on our local supercomputer, helped by a leading expert in high performance computing.

* Pure and applied mathematics, modules in probability and options in theoretical physics: get to grips with the foundations of modern mathematics.

* Study at a recognised NVIDIA GPU research centre and a NVIDIA teaching centre. Our GPU research facility is used to solve problems including the mass gap of Yang-Mills theory, Lattice-Boltzmann methods for fluid flow, Markov Chain Monte Carlo applications in statistics and data analysis, lava flow simulation, game theory and cyber-security.

* Benefit from outstanding teaching: in the 2018 National Student Survey 99% of our final year students said that 'Staff are good at explaining things’. This is part of a proud track record of success in the National Student Survey (NSS). We are top of the 2019 Guardian Mathematics League Table for satisfaction with the course.

* Leading research experts teach you: 68% of our research papers were classified as ‘World Leading’ or ‘Internationally Excellent’ in the latest UK government survey of research (REF 2014).

* Expand the ways you study with access to an extensive set of online support materials, including podcasts and eBooks.

* Our doors are open, we have a dedicated study space, the Maths Lab, clickers for immediate feedback in class – in short, we support you to reach your full potential.

* Become a confident, effective communicator, able to present your ideas visually, verbally and in writing. Small group tutorials help you acquire these skills. In the 2018 National Student Survey 99% of our final year students agreed that 'I have had the right opportunities to work with other students as part of my course’.

* Increase your employability with a strongly-recommended, paid industry placement between the second and final years. Recent employers include GlaxoSmithKline, the Department of Communities and Local Government, VirginCare, Visteon and Jagex. Progress, like our previous graduates, into careers in research, work in the Met Office, GCHQ, finance and industry or postgraduate degrees in applied mathematics.

* Accredited by the Institute of Mathematics and its Applications, your degree sets you on a path to Chartered Mathematician (CMath) status.

Modules

In year 1 you'll acquire a solid foundation through mastering calculus and analysis, linear algebra and numerical methods. Investigate the rules of probability and concepts of randomness. We’ll introduce programming using Matlab and R. New material includes an introduction to logic and methods of proof and the number theory underlying public key cryptography, which you use every time you purchase something online. You'll also study branches of pure mathematics such as group theory and graph theory.

In year two mathematical computing prepares you for programming at supercomputer level and will teach you an object oriented language and the paradigms of parallel programming. You’ll master numerical sampling Monte Carlo techniques for evaluating problems where deterministic methods break down. Expand your mathematical skills with modules including advanced calculus techniques and mathematical statistics. A differential equations module allows you to solve problems both analytically and numerically.

The final year focuses on an individual project using our high performance computing (HPC) machines, supervised by a leading researcher in applying HPC to problems in theoretical physics, engineering, medical sciences and finance. A group project module will see you working in a team to solve real world challenges. You’ll study partial differential equations, which includes modelling car crash tests and tsunami wave propagation. Round off your studies by choosing from a number of optional modules including fluid dynamics, optimisation, financial modelling and statistical data analysis.

The modules shown for this course or programme are those being studied by current students, or expected new modules. Modules are subject to change depending on year of entry.

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
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

University of Plymouth

Department:

School of Engineering, Computing and Mathematics

TEF rating:

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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.

86%
high
Mathematics
68%
low
High performance computing

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

91%
Staff make the subject interesting
99%
Staff are good at explaining things
89%
Ideas and concepts are explored in-depth
89%
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

92%
Library resources
83%
IT resources
88%
Course specific equipment and facilities
90%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

89%
UK students
11%
International students
67%
Male students
33%
Female students
81%
2:1 or above
2%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
C
B

Computer science

Teaching and learning

75%
Staff make the subject interesting
73%
Staff are good at explaining things
70%
Ideas and concepts are explored in-depth
86%
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

85%
Library resources
71%
IT resources
87%
Course specific equipment and facilities
53%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

89%
UK students
11%
International students
91%
Male students
9%
Female students
65%
2:1 or above
21%
Drop out rate

Most popular A-Levels studied (and grade achieved)

C
C
D

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.

£20,000
low
Average annual salary
90%
low
Employed or in further education
88%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

17%
Sales assistants and retail cashiers
14%
Business, finance and related associate professionals
11%
Other elementary services occupations
What do graduate employment figures really tell you?

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.

Computer science

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.

£25,000
med
Average annual salary
95%
med
Employed or in further education
91%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

70%
Information technology and telecommunications professionals
7%
Information technology technicians
3%
Sales, marketing and related associate professionals
What do graduate employment figures really tell you?

There are a lot of computing courses out there, and they vary a lot in content, modules and the way they work with employers, so individual courses can have very different outcomes. This is a course where you really need to get a good grade — employers really pay attention to the class of your degree and a low grade will serious hit your prospects. But you can get a job on pretty much any industry in the country with a computing degree - and organisation with an IT system and a web site needs graduates in this discipline - and many employers report difficulty in finding graduates. So most students do get jobs, and starting salaries are good, particularly in London. If you want to find out more about the prospects for a computer science course at a particular institution, it's a good idea to go on open days and talk to tutors about what previous graduates went on to do.

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

£24k

£24k

£25k

£25k

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.

High performance computing

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

£23k

£23k

£26k

£26k

£28k

£28k

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.

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

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

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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.

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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.

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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).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA).

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