Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

Data scientists are in high demand because they can interrogate data and use analytics to find patterns, trends and relationships in data sets. This information can then be used in everything from predicting consumer behaviour to accelerating the development of promising new drugs. With our practical BSc (Hons) Data Science degree, we'll help prepare you for a successful career. You'll benefit from our industry links, well-equipped computer labs, smaller class sizes and experienced and supportive staff. Why study this subject? Data science can be described, in simple terms, as the study of data. The information and their assessment of big data can reveal interpretations and insights that can be utilised in many contexts, such as:

businesses predicting and capitalising on consumer behaviour

banking institutions detecting fraud

investors using a combination of big data and artificial intelligence to make more informed investment choices

pharmaceutical companies using data analysis to accelerate the development of promising drugs.

Why study at Buckinghamshire New University? At BNU, we always provide our students with opportunities to work on real-life scenarios, business challenges and work-relevant problems whenever we can which is why your experience as a student with us will be so unique. What facilities can I use? Our computing facilities are packed with the latest equipment. We regularly upgrade our computer hardware and software, so you have the equipment and facilities to truly excel. What will I study? This programme will provide you with a strong grounding in the technologies and systems that underpin the secure storage, sharing, analysis and presentation of data in various situations for different purposes. This will include a broad education in computer architectures, networks, information security, programming, databases, web technology and software engineering. Data analysis will naturally represent a central theme on the course. Technologies, information systems and different associated components will then be used to transform data into significant information so that stakeholders can report findings and make evidence-based decisions. The final stage of the programme provides options for different specialisation pathways. Depending upon what has inspired you during your course, and perhaps motivated by future career ambitions, you can potentially select modules that concentrate on either database development, artificial intelligence or cloud computing and network security. This programme will:

provide an in-depth understanding of the different dimensions of the field of data science

equip you with relevant technical skills and experience in the use of different technologies, systems, approaches and methodologies relevant for the secure storage, communication, analysis and presentation of data

develop your skills and knowledge so you can systematically and critically analyse the different methods and strategies for addressing various data-related problems

give you an appreciation of professional, moral, legal and ethical issues involved in computing and information technology.

What are my career prospects? Employability is at the heart of this degree, and we will help prepare you for a wide range of careers. With a data science degree, you could work across a broad range of areas, such as:

Ecommerce

Finance

Government

Health

Information technology

Retail

Scientific research.

Typical job roles include:

Applications Architect

Data Architect

Data Engineer

Data Scientist

Enterprise Architect

Infrastructure Architect Machine

Learning Engineer

Machine Learning Scientist.

Modules

Year one Computer Architectures Programming Concepts Database Design Web Development Networking Application Programming Data Warehousing Digital Technologies and Professional Practice Year two Web Applications Big Data Information Security Business Intelligence Data Presentation and Visualisation Statistical Methods Software Engineering Intro to Intelligent Systems (Team Project) Year three Project Data Science (optional) Database Development Knowledge-Based Systems in A.I. Cloud Computing (optional) Legal Aspects of IT Database Technologies (optional) Learning Machines and Intelligent Agents (optional) Network Security (optional)

Assessment method

Work and activities within the modules, including the formal assessments, will have a strong focus on real world scenarios. There'll be a variety of assessments across your course, in part to give you exposure to the variety of situations you'll face in your professional life, but also to direct and focus your learning of many interesting, and career-relevant, topics. Assessments are then designed to help you learn and apply relevant knowledge, concepts and skills whilst developing those competencies and characteristics needed to be successful in education and employment. You'll complete different types of coursework like written assignments, practical exercises, presentations and other individual or group tasks alongside some tests or exams. The Project in your final year represents a major piece of independent research focused on some significant problem, which can be linked to some current business challenge or an idea that will support your own career aspirations. Formal and informal feedback on your work will be regularly provided to support and direct your learning and development.. Course assignments reflect real-life problems because we believe that’s the best way to learn – and it’s more fun! We also encourage you to gain work experience whilst studying and actively look for clients for your project work, which provide you with the opportunity to develop your skills in a work-base setting.

How to apply

31Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:: DSC1

Institution code:: B94

Campus name:: Buckinghamshire New University

Campus code:: -

Points of entry

The following entry points are available for this course:

Year 1

International applicants

For information about applying to Buckinghamshire New University as an International applicant, please visit https://www.bucks.ac.uk/study/international

Entry requirements

Qualification requirements

UCAS Tariff - 88 - 112 points

A level - CCD - BCC

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

Applicants who do not meet the minimum requirements for the three-year undergraduate programme, or those who do not feel fully prepared for a degree course, can apply for a four-year programme including a Foundation Year.

Please click the following link to find out more about qualification requirements for this course

https://bucks.ac.uk/applying-to-bucks/general-entry-requirements

Unistats information

Fees and funding

Tuition fees

England	£9250	Year 1
Northern Ireland	£9250	Year 1
Scotland	£9250	Year 1
Wales	£9250	Year 1
Channel Islands	£9250	Year 1
Republic of Ireland	£9250	Year 1
EU	£15000*	Year 1
International	£15000*	Year 1

*This is a provisional fee and subject to change.

Additional fee information

Most courses will involve some additional costs that are not covered by your fees. You could benefit from financial support through a bursary or scholarship during your time as a student. For more details visit our financial support, bursaries and scholarships section.

Sponsorship information

Buckinghamshire New University offers a range of bursaries and scholarships. For more information, please visit https://www.bucks.ac.uk/study/fees-and-funding/financial-support-bursaries-and-scholarships

Degree level: Undergraduate

Data Science

Course options

Open days