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Leeds Beckett University

Data Science

UCAS Code: I2I3

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

Entry requirements


GCSE/National 4/National 5

GCSE English Language at Grade C or above (Grade 4 for those sitting their GCSE from 2017 onwards) or equivalent. Key Skills Level 2, Functional Skills Level 2 and the Certificate in Adult Literacy are accepted in place of GCSEs.

UCAS Tariff

104

A Minimum 64 from two A Levels or equivalent, excluding General Studies. This must include 40 points from a Maths or Science related subject. If you are studying Biology, Chemistry or Physics to meet this requirement you must also achieve a `Pass' in the practical assessment, where that practical assessment is separated (from 2017)

About this course


Course option

3.0years

Full-time | 2021

Subjects

Databases

Data management

Intelligent systems

Data is recognised as a key asset in any organisation and a means by which to gain information, insight and understanding. If you already have intellectual curiosity, enjoy solving problems and asking questions, this course will develop these skills further. You will study data analysis techniques and learn how to apply them to investigate social issues, such as crime connections, business insight, including marketing channels, and scientific innovations including smart houses.

The course will cover a number of key themes from data management and data analytics such as machine learning, to statistics and programming. Informed by a deeper knowledge of data principles and practical considerations, you will gain an in-depth understanding of core data analysis techniques. Using open source data and tools such as python and SQL, tableau and KNIME, you will learn how to identify data to inform your investigation, how to pre-process data to ensure quality results, how to select appropriate analysis techniques for the task and finally how to choose methods, including visualisations, to convey the message. You will also have the opportunity to interact with industry experts to gain connections and an insight of the roles available within the field.

Your experiences on this course will see you develop a strong knowledge of data and understand the importance of ethics and data governance in your approach to data science.

Data is recognised as central to the strength of our economic, business and cultural life, and continues to transform the modern world. Your ability to understand how to work with data to gain insights and create narratives will make you an asset to any business, organisation or individual seeking to make evidence-based decisions. You will be primed for data science roles across diverse industries and projects.

You will be taught and assessed using a range of approaches that will enable you to develop a rounded skillset including simulations, case studies, practical work and online collaborative discussion. In your third year, you will complete a year-long data science project drawing on theoretical principles to rigorously design investigations, analyse data and represent findings from data. Through considered selection of your project and client, you will be able to tailor your learning to your career aspirations.

You will join a research-led academic community, and you will have access to guest lectures and industry events that will broaden your experience and knowledge of the career pathways that will be open to you.

Modules

Year 1 Core Modules:
- Introduction to Data Analytics
- Maths for Data Science
- Fundamentals of Computer Science
- Introduction to Databases
- Statistics in Practice
- Fundamentals of Computer Programming

Year 2 Core Modules:
- Applied Data Analytics
- Machine Learning Techniques
- Database Systems
- Team Project
- Programming for Data Science
- Information Analysis

Year 3 Core Modules:
- Production Project

The Uni


Course location:

Headingley Campus

Department:

Computing, Creative Technologies and Engineering

TEF rating:
Read full university profile

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.

77%
med
Databases
77%
med
Data management
77%
med
Intelligent systems

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.

Information systems

Teaching and learning

77%
Staff make the subject interesting
81%
Staff are good at explaining things
78%
Ideas and concepts are explored in-depth
72%
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

86%
Library resources
85%
IT resources
86%
Course specific equipment and facilities
66%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

94%
UK students
6%
International students
87%
Male students
13%
Female students
75%
2:1 or above
13%
Drop out rate

Most popular A-Levels studied (and grade achieved)

D
C
E

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.

Information systems

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
88%
low
Employed or in further education
82%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

45%
Information technology and telecommunications professionals
11%
Information technology technicians
8%
Sales assistants and retail cashiers

Information systems courses cover a range of areas, including information design, modelling and the finance industry. How well graduates did made a particular difference in 2015 — computing graduates with good grades were much less likely to be out of work after six months. Most students do get jobs, though, and starting salaries are good — particularly in London, and that’s where over a quarter of graduates started work last year. This is also a good degree to take if you want to follow a technical role in the finance or advertising industry. Many jobs for this degree were found in the larger cities last year and opportunities may be more limited outside those areas.

What about your long term prospects?

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

Databases

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

£20k

£20k

£25k

£25k

£23k

£23k

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 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.

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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

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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?

Have a question about this info? Learn more here