Data Science BSc (Hons)
UCAS code: GI11
Are you a natural problem solver? Explore how data provides invaluable business guidance. Use your eye for detail to shape the future of industry on a degree awarded initial accreditation by BCS, The Chartered Institute for IT.
Could you pinpoint meaning in big batches of data? Or see the bigger picture framed in figures? Put your analytical mind to the challenge and thrive in a job role that’s in great demand.
Data helps shape the solutions businesses need to be successful. From insights to infrastructure, you’ll find your excellent diagnostic skills can help develop the answers businesses are looking for to boost growth and profit.
On this data science degree, you’ll sharpen your technical skills in data creation, processing, analysing, visualising and interpretation. You’ll also get the opportunity to use it in industry during an optional sandwich year placement.
Sandwich Year Option Available
Studying Abroad Option Available
Work Placement Opportunity
What you'll study
Are data science and analytics the same? Find out in Year 1 when you go through the fundamentals that will give you a solid foundation for Years 2 and 3. We’ll delve into construction of systems, multimedia technologies and the career paths you can follow in computing and IT.
Digital World: Computer Architecture and Networks
Module code: CIS1109
Digital World: Information Systems and Design
Module code: CIS1108
Discrete Mathematics and Combinatorics
Module code: MAT1000
Foundations of Computer Science
Module code: CIS1107
Programming: Concepts to Construction 1
Module code: CIS1111
Programming: Concepts to Construction 2
Module code: CIS1112
In Year 2 we’ll present you with the theories behind your blossoming practical abilities in tech. A dedicated employability and people skills module gets you workplace-ready and after completing the year you’ll have the option of putting those skills to use by taking a 12-month placement.
Module code: CIS2166
Module code: CIS2144
Module code: CIS2164
Module code: CIS2162
Module code: MAT2000
Programming Languages: Theory to Practice
Module code: CIS2147
Developing your advanced knowledge is an important part of Year 3. You’ll focus on independent study and learning by leading your own research piece. This could be the creation of a piece of software or hardware and will give you the chance to uncover which aspects of data science you’d like to take forward with your first role after graduation.
Big Data and Visualisation
Module code: CIS3152
Module code: CIS3157
Module code: CIS3149
Research and Development Methods
Module code: CIS3161
Research and Development Project
Module code: CIS3140
How you'll study
We will ensure you gain relevant experience and use industry-standard equipment. Computing involves considerable practical activity and many classes are based in computer workshops, focusing on student activity as a means of learning. We introduce theoretical concepts by building on concrete practical activity.
To enhance your employability, you will be given opportunities to work together and develop the essential people skills to complement your technical ability, while engaging in realistic work-related activities and taking the opportunity to relate theory to practice via a work placement.
How you'll be assessed
You will be assessed through a combination of practical exercises, reports, essays and examinations. We want you to develop the ability to work effectively both independently and as part of a team, therefore assessment includes both of these forms, though the emphasis is strongly on individual work.
Who will be teaching you
You will be taught by staff who are passionate about student learning and development. The programme team are specialists in computing and active researchers in areas including data mining, data analytics and data visualisation. Academic staff are regular contributors to academic conferences and journals.
Typical offer 112-120 UCAS Tariff points, for which no specific subjects are required, plus GCSE Mathematics at Grade C or Grade 4 or above (or equivalent).
Please note, for all programmes in the Department of Computer Science, a level 2 numeracy qualification is not considered as equivalent to GCSE Grade C or Grade 4 in Mathematics.
|BTEC Extended Diploma (or combination of BTEC QCF qualifications)||Distinction, Merit, Merit (DMM).|
|T Level||Overall grade of Merit.|
|International Baccalaureate (IB)||We are happy to accept IB qualifications which achieve the required number of UCAS Tariff points.|
|Access to Higher Education Diploma||45 credits at Level 3, for example 15 credits at Distinction and 30 credits at Merit or 24 credits at Distinction and 21 credits at Merit. The required total can be attained from various credit combinations.|
Please note, the above examples may differ from actual offers made. A combination of A Level and BTEC awards may also be accepted.
If you have a minimum of two A Levels (or equivalent), there is no maximum number of qualifications that we will accept UCAS points from. This includes additional qualifications such as Extended Project Qualification (EPQ), AS Levels that haven't been continued to A Level, and General Studies AS or A Level awards.
English language requirements
International students require IELTS 6.0, with a score no lower than 5.5 in each individual component, or an equivalent English language qualification.
If your current level of English is half a band or one band lower, either overall or in one or two elements, you may want to consider our Pre-Sessional English course.
How to apply
Should you accept an offer of a place to study with us and formally enrol as a student, you will be subject to the provisions of the regulations, rules, codes, conditions and policies which apply to our students. These are available at www.edgehill.ac.uk/studentterms.
Did you know?
If you join a full time undergraduate degree at Edge Hill University, we will guarantee you the offer of a room in our halls of residence for the first year of your course.Discover our accommodation
The Department of Computer Science is based in the state-of-the-art £13million Tech Hub. This purpose-built development offers highly contemporary suites of outstanding facilities for Computer Science and Engineering students. Our modern computing and engineering laboratories are equipped with comprehensive test and measurement equipment, high-specification computers, high-resolution screens and the latest hardware and software.
A four-screen CAVE (Computer Augmented Virtual Environment) provides a super immersive 3D virtual environment, enabling users to immerse themselves in a virtual room and experience real life scenarios in 4K resolution. There are also specialist laboratories for networking and games programming, in addition to a specialist research laboratory, open access laboratory, a Harvard style lecture theatre, and ‘The Hatchery’, a working space for new business ideas.
Where you'll study
Learning resources include digital oscilloscopes, signal generators, robots and a robotics simulator, wired and wireless networking hardware, graphics software, web development tools, software development environments, big data servers, eye trackers, giant 3D interactive teaching screens, and other specialist software required for studying forensics and internet security techniques.
£77 per credit
for 360 credits
EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme, as well as Irish nationals, may be eligible for the UK tuition fee rate.
Subject to eligibility, UK students joining this course can apply for a Tuition Fee Loan from the Government to cover the full cost of tuition fees. UK students enrolling on the course may also be eligible to apply for additional funding to help with living costs. Please view the relevant Money Matters guide for comprehensive information about the financial support available to eligible UK students.
EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme may be eligible to apply for financial support. Irish nationals should ordinarily apply to Student Universal Support Ireland (SUSI). If you are an EU student who does not have settled or pre-settled status, or are an international student from a non-EU country, please see our international student finance pages.
Your future career
Throughout your years of study on our data science degree, we’ll be getting you ready for finding your career path after graduation. As a data science graduate, you’ll be able to find jobs such as:
- Data Scientist
- Database Manager
- Business Intelligence Officer
- Data Analyst
- Data Engineer
- Data Architect
- Health Informatics
And that’s just a few examples – no matter which sector you choose to start your career in, you’ll graduate with key transferable skills that employers are looking for, including statistical analysis, problem solving, communication and data visualisation.
This course has received initial accreditation from BCS, The Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional. Initial accreditation is granted to new courses which are yet to have a graduating cohort. Successfully completing an accredited honours degree is the first step to full BCS membership and to being awarded chartered status.
Every effort has been made to ensure the accuracy of this information, however our courses are subject to ongoing review and development. Changing circumstances may necessitate alteration to, or the cancellation of, courses.
Changes may be necessary to comply with the requirements of professional bodies, revisions to subject benchmarks statements, to keep courses updated and contemporary, or as a result of student feedback. We reserve the right to make variations if we consider such action to be necessary or in the best interests of students.
Track changes to this course
Change of Module - 22 January 2021
MAT1000 Discrete Mathematics and Combinatorics (20 credits) replaces SUG1021 Mathematical Proof and Logic (20 credits) as a compulsory module in Year 1.
MAT2000 Inferential Statistics (20 credits) replaces SUG1020 Statistical Inference (20 credits) as a compulsory module in Year 2.
Change of Accreditation Status - 23 September 2020
The programme has received initial accreditation from BCS, The Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional. Initial accreditation is granted to new programmes which are yet to have a graduating cohort.