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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. 

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

  • 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

Our facilities content

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

Our Business and Management degrees have a strong vocational focus and are enhanced by our optional work placement programmes.  Work placements and internships will give you the opportunity to implement skills and knowledge gained during their time on campus in a real-world setting and allow you to develop your employability skills.

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.  The University is committed to working closely with business and the community, offering support, opportunities and facilities to both organisations and individuals in the local community, business and public services.  Students have the option of undertaking a preparation for internship credited module during their second year to assist them with applying for placements and preparing them for the world of professional work.

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 as they begin the final semester of their degree. Placements begin mid-January each year and run until the end of March.  Whilst on placement the students focus on a management project which is normally concerned with investigating management issues within the organisation.  Many placement students are offered full time jobs even before their results are published and they believe that the placement was extremely beneficial.

Placement Office

The Business School has a dedicated placement office which will work with you and businesses to help you find a good match whilst ensuring that all placements are of the appropriate level and suitability for your degree route.  You are ultimately responsible for finding your own placement, however the placement office has built up many contacts and advertises opportunities from organisations many who come back to us each year looking for new students.

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, Bahrain, India, Singapore and Australia.

Types of Placement

Students find placements in all areas of business, some 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, TUI
  • IT Management for Business – Cap Gemini, Debenhams, Accenture, Eaton

Indicative modules

Year 1 

Semester 1

  • Introduction to Data Science and Data Analysis (15 Credits)
  • Maths 1 (Differential calculus, graph theory, matrices) (15 Credits) 
  • Working with Others & Managing Self (15 Credits) 
  • Project (15 Credits)

Semester 2

  • Data Sources, Identification and pre-processing (15 Credits) 
  • Maths 2 (Data graphics, integral calculus, probability, linear equations) (15 Credits)
  • Data Anlysis for Research (15 Credits)
  • Projects (15 Credits

Year 2

Semester 1

  • Data Analytics (15 Credits)
  • Maths 3 (Applied calculus, probability distributions, statistical inference, network analysis) (15 Credits) 
  • Business Decision Making (15 Credits)
  • Projects (15 Credits)

Semester 2

  • Data Architectures and Software (15 Credits) 
  • Maths 4 (Mathematical statistics, non-parametric methods, linear modelling)
  • Understanding Business Models (15 Credits)
  • Projects (15 Credits)

Year 3

Semester 1

  • Data Husbandry (15 Credits)
  • Operations Management (15 Credits)
  • Maths 5 (Operations research methods) (15 Credits) 

Semester 2

  • Management Project (45 Credits)
  • 10 week work placement (30 Credits)

    OR two of the following four (15 credit) modules:
  • Small Business Enterprise; Business Ethics; Database Design and Management; The Professional Graduate

 

 

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

Apply Now

Apply for 2018

Codes

UCAS code: 
IN11
College Code: 
C58

Course length

3 Years
Full Time