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University of Portsmouth

Data Science and Analytics

UCAS Code: I1G3

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

Entry requirements


104-120 Tariff points to include a minimum of 2 A levels.

106 Tariff points from the Access to HE Diploma.

Cambridge Pre-U score of 44.

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

25

25 points from the IB Diploma, to include 3 Higher Level subjects.

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

H3,H3,H3,H4,H4

Pearson BTEC Level 3 National Diploma (first teaching from September 2016)

D*D

Acceptable when combined with other qualifications.

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

DMM

104-120 Tariff points.

UCAS Tariff

104-120

104-120 points to include a minimum of 2 A levels, or equivalent.

83%
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

Subject

Computer science

**Overview**

Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.

On this BSc (Hons) Data Science and Analytics degree course, you’ll learn the technical and analytical skills to make sense of the vast amounts of data available to organisations while working within the regulatory and technical boundaries of the field.

After the course, you’ll be prepared for roles such as data analyst, data scientist, systems developer and systems analyst.

**What you'll experience**

On this degree course, you’ll:

- Learn to use databases, systems and analytical tools to generate insights and intelligence

- Get a deep understanding of modern big data, machine learning and data mining methods

- Identify trends, patterns and correlations to benefit businesses, like targeting new products or increasing sales

- Develop commercial skills, focusing on how to present and visualise your findings

- Apply your analytical abilities to practical problems and real-world datasets, such as our research in cosmology, health information and cyber security

- Have access and training in our new SAP Next-Gen Lab

**Careers and opportunities**

When you finish the course, you'll be equipped for a career in the data analytics and deep learning industry. You could work for multinational companies, small and medium enterprises, and innovation centres.
What jobs can you do with a Data Science and Analytics degree?

Previous students have gone on to work as:

- data analysts

- data engineers

- data architects

- information analysts

Other graduates have continued their studies at postgraduate level or set up successful businesses with help and support from the University.

After you leave the University, you can get help, advice and support for up to 5 years from our Careers and Employability service as you advance in your career.

"Data Warehousing and Mining were my favourite subjects – learning how big data is stored and utilised was deeply interesting and engaging. The staff here are friendly and knowledgeable and my course provided a me with the skills I needed to land my dream job." Azdean Smith, BSc (Hons) Computing Student

Modules

In your first year, you will be equipped with the core skills and knowledge you will need as a data analyst. In your second year, you will build on the principles covered in your first year. The aim is to demonstrate the practical and pragmatic use of the techniques that you can apply to large and complex data sets. In your third year you will undertake a substantial project at the same time as studying the key topics for advanced data science and analytics. In your project, you will apply the skills and knowledge from the taught parts of the course to a practical problem within the environment of one of our research areas – cosmology, healthcare, cybersecurity or networking. Alternatively, a local business or other external clients may provide a problem to solve in your project.

Assessment methods

You will encounter a range of assessment styles depending on the content and nature of the unit topic. This can include written assignments and presentations, as well as group and individual lab-based assessments. However, the most significant assessment element is your project.

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
£15,900
per year
Northern 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

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.

83%
high
Computer science

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.

Computer science

Teaching and learning

84%
Staff make the subject interesting
91%
Staff are good at explaining things
83%
Ideas and concepts are explored in-depth
85%
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
89%
IT resources
89%
Course specific equipment and facilities
75%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

88%
UK students
12%
International students
86%
Male students
14%
Female students
72%
2:1 or above
15%
Drop out rate

Most popular A-Levels studied (and grade achieved)

C
C
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.

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.

£23,000
med
Average annual salary
95%
med
Employed or in further education
99%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

44%
Information technology and telecommunications professionals
16%
Artistic, literary and media occupations
7%
Information technology technicians
What do graduate employment figures really tell you?

This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.

What about your long term prospects?

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

Computer science

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

£25k

£25k

£27k

£27k

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.

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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.

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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