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University of Plymouth

Data Modelling and Analytics

UCAS Code: G102

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

Entry requirements


Sorry, no information to show

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

Statistics

Gain expertise in a wide range of topics, including Big Data analysis, modern visualization techniques and social media sentiment analysis, and develop the kind of expert data modelling knowledge and analytics skills that are highly sought after by industry. This course is underpinned by and enhanced with a focus on employability and careers related skills, helping you to develop an extensive transferable skill set alongside comprehensive subject specific knowledge.

You will benefit from research-led teaching and the expertise of leading statisticians, data scientists and mathematicians. You will immerse yourself in industry-relevant practical applications and apply your knowledge to a variety of sectors, from banking and finance to e-commerce, consultancy and government. You’ll distinguish yourself professionally with a degree accredited by the Royal Statistical Society.

* Develop expert data modelling knowledge and analytics skills, helping you to stand out to prospective employers.

* Immerse yourself in industry-relevant practical applications and apply your knowledge to a variety of sectors, from banking and finance to e-commerce, consultancy and government.

* Collaborate with our research-active analytics experts on a project you are passionate about.

* Gain expertise in a wide range of topics, including Big Data analysis, modern visualization techniques and social media sentiment analysis.

* Benefit from research-led teaching and the expertise of leading statisticians, data scientists and mathematicians.

* 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.

* In the UK 2014 Research Excellence Framework 68 per cent of our research papers were classified as World Leading or Internationally Excellent.

* Receive a free tablet PC to stay up-to-date with your learning, wherever you are.

* Gain industrial experience with an optional work placement year.

* Distinguish yourself professionally with a degree accredited by the Royal Statistical Society.

Modules

Year 1:

As well as the core of BSc (Hons) Mathematics and Statistics you will take a data analytics module where you will study sophisticated analytics techniques to visualize Big Data using software such as R. These will be applied to database interrogation, social network visualization and sentiment analysis.

Year 2:

Study a range of modules including linear regression and Monte Carlo methods. You’ll also learn how to use statistical and mathematical techniques to evaluate financial problems (such as value at risk, bankruptcies, takeovers, cost of capital, share prices, dividends, and capital asset pricing). This year also provides you with skills in operational research, the mathematical techniques underlying management and decision making.

Optional placement year:

An optional but highly recommended placement provides you with valuable paid professional experience to help make your CV stand out.

Final year:

You will study data modelling topics equipping you with the analytical skills needed by business and industry, together with predictive analytics for forecasting financial data and optimisation for efficient decision making. You will study optimisation. You may undertake a series of mini-projects on analytics topics or work with an analytics expert on a project of your choice such as Big Data or social media sentiment 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.

Assessment methods

52% of assessment is by exam, 45% by coursework and 3% practical assessment

The Uni


Course location:

University of Plymouth

Department:

School of Computing, Electronics 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

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

Mathematical sciences

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?

74%
UK students
26%
International students
52%
Male students
48%
Female students
81%
2:1 or above
3%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
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.

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.

£20,000
low
Average annual salary
91%
low
Employed or in further education
72%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

18%
Sales assistants and retail cashiers
14%
Business, finance and related associate professionals
13%
Business, research and administrative professionals
What do graduate employment figures really tell you?

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

£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.

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

£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.

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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