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Business Analytics

Entry requirements


A level

A,B,B

Access to HE Diploma

D:32,M:16,P:0

International Baccalaureate Diploma Programme

32

with 16 points from the best 3 Higher Level subjects

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

DDM

UCAS Tariff

128

We've calculated how many Ucas points you'll need for this course.

About this course


Course option

3.0years

Full-time | 2022

Subject

Operational research

BSc Business Analytics is an academically rigorous degree programme that teaches the core skills of applying data science and analytics to modern business problems. If you are numerate, analytically minded with an unquenchable curiosity about how and why things are done the way they are, Business Analytics can help launch your career in industry, finance, the public sector, government or consulting.

Truly modern organisations rely on sophisticated analysis and technology to perform effectively, and we produce creative, technically competent and skilled graduates who can deliver these skills and more.

We will show you how analysing data can help solve real-life problems and show what it means to think statistically as you learn techniques and approaches that help organisations plan and improve decision-making processes.

In your second and third years, you will study project management modules that act as a core to help put ideas into practice, gain employee support during organisational change initiatives, and improve your consultancy skills.

You can also choose modules for a specialist track. The Business Analytics track delivers the mathematical tools to develop practical, numerate and computer-based modelling.

The Operations, Logistics and Supply Chain Management track explores the problems faced by operations managers. It covers topics such as purchasing, inventory planning and risk analysis. For students who want to learn more about designing and managing the computer-based systems of our digital economy, the Information Systems specialism is for you.

BSc Business Analytics is also available as a four-year programme with a year in industry or as a three-year Study Abroad programme. It may be possible to switch to one of these courses after you start, subject to availability and to visa and other requirements.

Our careers team, including a dedicated departmental careers coach, will work with you from day one to help with internships, placements and graduate employment. We will supply training in CV writing, interview assessment centres and telephone interviews, helping you with your future career ambitions.

Students use programming tools such as Python and R, spreadsheets and business intelligence software, gaining important skills which can be applied to bring intelligence to industry. We will teach you how to make forecasts and use data to understand complex behaviour, and introduce you to operational and strategic business contexts, applying your skills on a team project for a client in the Lancaster area.

Business Analytics is one of the most important areas of modern business as the volume of data both created and employed increases. Depending on your chosen pathway, Business Analytics at Lancaster will equip you to manage and interrogate data with e view to improving business performance, be that in operations or logistics and supply chain management.

Tuition fees

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

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

The Uni


Course location:

Lancaster University

Department:

Organisation, Work and Technology

Read full university profile

What students say


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.

Operational research

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?

35%
UK students
65%
International students
57%
Male students
43%
Female students
88%
2:1 or above
4%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

A
A
A

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.

Mathematical sciences

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.

£24,000
med
Average annual salary
96%
med
Employed or in further education
84%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

28%
Business, research and administrative professionals
24%
Business, finance and related associate professionals
9%
Teaching and educational professionals

Not a very common degree on its own, this is often taken in combination with maths degrees. The skills gained by operational research graduates mean that they are in demand, so have a low unemployment rate and pretty respectable salaries, especially in finance and in London - the average starting salary for OR graduates in the capital was nearly £33,000 last year.

What about your long term prospects?

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

Mathematical sciences

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

£25k

£25k

£30k

£30k

£33k

£33k

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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Course location and department:

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Teaching Excellence Framework (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).

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.

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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.

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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.

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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

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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?

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