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BSc (Hons) Data Science

The digital world produces huge quantities of 'big data'. An analysis of that data can be used to bring a greater understanding to social and economic systems, consumer behaviour, as well as giving businesses greater insight into their activities.

'Big data' is only as useful as the information that we can derive from it; this course will give you skills in statistics, analytics, report writing, data computation and digital marketing.

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College C58


Course Length:

3 Years Full Time

Entry Requirements

Typical Offer (individual offers may vary):

A levels: BCC (including Mathematics)

GCSEs: English language and mathematics (C or above)

International Baccalaureate: 28 points with Mathematics Higher at 4 or better

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Postgraduate Pathway

The Business School has a diverse and exciting range of full and part time postgraduate programmes including:

*Alumni receive 15% discount on postgraduate fees

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Work Placements

Our Business and Management degrees have a strong vocational focus and are enhanced by our optional work placement programmes.

See below for more information about placement locations.

Students find placements in all areas of business including these recent examples:

Accounting and Finance - Rolls Royce Motorcars, Cap Gemini Business Studies – Nissan Motorcars, Gatwick Diamond Initiative Business Studies & Marketing – Rolls Royce Motorcars, Bentley Motorcars, The Dreyfuss Group Events Management – Shangri-la Hotel the Shard, Rugby Players Association Human Resource Management – Condair, Hays Recruitment Marketing – Brandwatch, Hewlett-Packard, Toyota Motorcars, TUIIT Management for Business – Cap Gemini, Debenhams, Accenture, Eaton

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Professional Placement – 1 Year Internship

All students are able to take a 'Professional Placement' during their third year which is a one year paid internship. Great significance is placed on providing a learning experience that assists with the students understanding of business practice and the context in which it takes place.

10 Week Placement

The majority of our business and management programmes also offer our students the opportunity to undertake a 10-week full-time work placement in the final semester of their degree. They begin mid-January and run until the end of March. Many placement students are offered full time jobs and they believe that the placement was extremely beneficial.

While a large proportion of students secure placements in London and the South East, we have students who have travelled overseas for their placements for example, India, Singapore and Australia.


Course content

Our IT systems and devices are constantly creating data and the amount of data created and stored grows exponentially. Data, and in particular patterns and trends within data, have the ability to inform and provide valuable insights, that help us predict and diagnose specific outcomes. Whilst the amount of data grows, the science of gaining insights from this data grows with it.  Industry, research institutions and government all seek to extract value from data to improve products and services, serve their customers better and run more operationally efficient organisations.  Data Scientists use their mathematical, computational and presentational skills to mine data for value and their skills are highly sort after. There is a significant shortage of skilled Data Scientists and so there are many job opportunities available.

We have designed this BSc course in consultation with industry partners. This means that we understand what their data science needs are and what skills they require so that on successful completion of this course you will be highly employable. Having this close understanding of what industry needs makes this course relatively unique and the very best suited to these looking for a career in the Data Sciences. Also the course is one of the very few BSc Data Science courses available to students in the UK. 

Course content 

The 3 year BSc course will be stimulating and interactive, making use of lectures, self-learning, workshops, hands-on projects and an option for work-placement. You will also get to understand the needs of industry and the latest state of the art developments through external guest lectures.

Indicative course content is evenly spread across the following disciplines and modules:

Data Science

  • Data Analytics
  • Data – Sources, identification and Pre-processing
  • Architectures and Software
  • Data Husbandry

Business Studies

  • Working with others and developing self
  • Data Analysis for Research
  • Business decision making
  • Understanding business models
  • Operations management


  • Mathematics for Data Science

The knowledge we provide you with in these areas will give you all of the essential know-how on methods, tools and techniques to deliver in your career as a Data Scientist. We believe Data Science is very much an intellectual ‘contact sport’ and through this course we provide you with every opportunity to put your theoretical knowledge in to practice.                                                                                                                                                             

The project work we have imbedded within the course has been chosen and developed based on real-world scenarios across a range of industry and government sectors and is specifically designed to:

  • Provide an essential link between your theoretical learning and real-world challenges
  • Create an environment where you decide the methods and tools best suited to the challenge based on what you have learnt
  • Recreate some of the challenges facing industry and Government today and those very similar to what you will encounter in the workplace as a Data Scientist
  • Be adaptable to reflect new methods / tools and scenarios in this fast developing discipline
  • Be able upon completion of the projects to reference your experience in working with such challenges

Our facilities

The multi-million pound investment in our Bognor Regis campus has created modern teaching spaces which have been described as some of the finest in the country.

Flexibility is key to the facilities, so rooms can be tailored to the needs of the students. 

All areas are Wi-Fi enabled and use the latest interactive whiteboard technology to support learning and teaching.

You will undertake your workshops in training rooms that are bang up-to-date with design features, touch screen electronic white boards and high speed wifi; housed across three stunning Georgian mansions. All of our current students love the learning environment, the culture, camaraderie and the fact that tutors know them by name so they are more than just a ‘face in the crowd’.  You will have access to the very best IT facilities in order to support your studies. These range from computer labs to access to cloud analytics from the leading providers. We will use software from the academic programs of the major enterprise I.T. vendors such as IBM and Amazon as well as commonly used open source programs and frameworks.  From September 2018, many of your teaching sessions will take place in the purpose-built Engineering and Digital Technology building in the Bognor Regis campus.

What's more, you have lots of other facilities on this dedicated university campus including latest books, journals and online data in a truly modern library, an IT centre, a student zone complete with Costa Coffee, a gym and much more, oh and if that’s not quite enough for your needs we are just across the road from the beach - brilliant for creativity and inspiration.

Where this can take you

The course has been designed to provide you with a very practical understanding of the issues associated with sourcing, curating, analysing and presenting data in business and other public sector and not-for-profit organisations.  On completion of your BSc studies and successful graduation, you can choose to move directly in to the workplace or consider further and deeper study with our MSc courses in Data Science and Business Intelligence.

Work placements

Students find placements in all areas of business including these recent examples:

  • Accounting and Finance
  • Rolls Royce Motorcars
  • Cap Gemini Business Studies
  • Nissan Motorcars
  • Gatwick Diamond Initiative
  • Bentley Motorcars
  • The Dreyfuss Group 
  • Shangri-la Hotel the Shard
  • Rugby Players Association 
  • Condair
  • Hays Recruitment Marketing
  • Brandwatch
  • Hewlett-Packard
  • Toyota Motorcars
  • TUIIT 
  • Debenhams
  • Accenture
  • Eaton

Indicative modules

Year 1 

  • The Practice of Data Science and Analytics
  • Academic and Professional Skills
  • Programming 1
  • Maths 1 (Differential calculus, graphtheory, matrices)
  • Data Analytic and ModellingDatabase
  • Maths 2 (Data graphics, integralcalculus, probability, linearequations)
  • Projects (Programming 2)
  • Entrepreneurial Mindset

Year 2

  • Business Intelligence
  • Maths 3 (Applied calculus,probability distributions, statistical inference, network analysis)
  • Big Data Architecture and Tools Operations Management
  • Visualisation and Presentation
  • Data Acquisition and Security
  • Maths 4 (Mathematical statistics, non – parametric methods, linear modelling)
  • Projects (Marketing)

Year 3

  • Emerging Technologies
  • Managing Finance
  • Maths 5 (Operations research methods)
  • Management Project (Research methods and entrepreneurial skills)
  • Management Project – remaining 30 credits
  • 10 Week Work Placement OR two of the following three modules: Small Business Enterprise, Business Ethics or Commercial Web Development

Teaching and assessment

Our mathematics degrees are taught in small, friendly, group-learning environments with high levels of individual support from lecturers with strong backgrounds in both mathematics and education. 

Our approach to supporting your learning, and how your learning is assessed, is designed to enable you to become a confident and enterprising graduate.  It is focused on seeking to support your ambitions, in parallel with ensuring that the needs of employers are met.  With this in mind, key features of our approach to learning and assessment include the following:

  • In place of the more traditional large group lecture method to teaching undergraduate students adopted by most University Business Schools, our approach involves tutors working with relatively small numbers of students at a time.  As well as providing an excellent environment for supporting you in the development of your subject expertise, it also helps you to develop a wide range of soft skills, such as teamwork, communication and time management.  These attributes are highly valued by graduate employers. 
  • We place a lot of emphasis on course work related activity and limit time based assessments where possible.
  • Opportunities to work with organisations on current commercial/business problems and projects.  These experiences are used to provide the basis for assessments that enable you to apply your learning within authentic commercial situations.

Additional Costs

Include Additional Costs: 

Additional Costs