Our degree courses with Foundation year offer the opportunity to prepare you for advanced study before you progress onto a full honours degree at the University of Westminster. Whether you do not feel ready for degree-level study, don’t have the right qualifications, want to change your subject specialism or return to study after an absence from education, we aim to encourage a broad range of students to undertake our Foundation year in order to progress onto their full honours degree with us.
The Foundation year is designed to give you the opportunity to explore new ideas, opening up new perspectives on the key debates within your chosen field. During the foundation year you will explore a range of creative disciplines and get a chance to develop in your chosen field, benefiting from workshops in our high end facilities and working with leading academics who will encourage you to become a confident and creative thinker. Core modules accelerate your academic and professional development and you will also take modules within your chosen field, giving you the chance to develop a cross-disciplinary perspective on your course.
On successful completion of the Foundation year (Year 0), you will be able to move on to study for the Data Science and Analytics BSc Honours over a further three years study.
In a constantly changing global environment, the massive use of social networks and the Internet of Things are generating a huge and fast-growing amount of data. Data processing is carried out through increasingly complex and sophisticated computer capabilities and algorithmic models, and involve advanced storage technologies such as cloud computing.
As a result, there is currently a great need for professionals who can process, understand and present this data in an appropriate and effective way. These skills are much needed by businesses, which collect data from customers, partners and from the market in which they operate to support evidence-based decision making. Governments rely on data to improve their policies and deliver better services as well.
The Data Science and Analytics BSc will give you a combination of analytical, technical and presentation skills that will allow you to convert data into valuable insights that support decision making. You will develop knowledge of the fundamental principles and technologies that underpin the disciplines of mathematics, statistics and computing with an emphasis on the skills and theories required in data science and analytics. You will learn how to apply cutting-edge mathematics, statistics and computer science techniques and tools to collect, store, prepare, analyse and visualise data, while analysing and understanding organisations’ operations, environment and related issues.
The course offers a short-term work-based learning experience that will give you the opportunity to work on a real-life problem, which is normally set by an external organisation as a small-scale project. This experience will allow you to put theory into practice by applying your knowledge and skills gained from various modules to address a real-life situation, usually within the context of a business-related problem.
In addition, you will have the opportunity to take a year in industry (work placement) after completing the second year of your study. This will help you gain work experience and increase your chances of employability after you graduate. You will be offered help and support to find and secure placement opportunities through various workshops and events organised by the Careers and Employability Service and the course team. Typically, you will be assigned into roles involving tasks related to data science and analytics.
At the end of your studies, you will be ready to make a valuable contribution to the workforce. Should you wish to continue your studies at the University, there are opportunities to study for a Master's degree in Business Intelligence or Big Data Technologies.
Academic qualification equivalents
English language requirements (one of the below):
University Type | Public University |
Campus Setting | Urban |
Acceptance Rate | 9% |
Endowment income | £3.5 million |
Cost of Attendance | £22,500 |
Applications Accepted | Online |
Work-Study | Available |
Intake Type | Semester wise |
Mode of Program | Full time and online |
The average estimated annual cost for 2020/2021 session is presented on the table below:
Fees | Foundation (GBP) | Undergraduate (GBP) | Postgraduate (GBP) |
---|---|---|---|
Tuition | 9,250 | 15,000 | 19,000 |
Accommodation | 4,989 - 7,748 | 7,220 - 10,830 | 7,220 - 10,830 |
Others | 1,278 – 1,542 | 4,047 – 4,662.5 | 2,556 – 2,982.5 |
Total | 15,517 – 18,540 | 26,267 – 30,042.5 | 28,776 – 32,362.5 |
Tuition Fees in UK (1st Year Average) | MS: £17276 | MBA: £17276 | BE/Btech: £16632 | BBA: £15130 | BSc: £16632 | MFin: £19000 | MA: £15560 | MIM: £18241 | MEM: £16950 | MArch: £14271 | BHM: £12662 | MIS: £15344 | MEng: £12876 | MBBS: £28865| MPharm: £15452 |
Average Accomodation & Food Costs in UK | £850 to £1,050 a month |
Entrance Exams in UK | TOEFL: 88 | IELTS: 6.5 | PTE: 59 | GMAT: 590 |
Work and Study in UK | Permitted for 20 hours/week with a valid study permit. |
Post Study Work Permit in UK | 2 Year after graduation depending on the course. |
Cost of Student Visa in UK | £348 |
Student Visa in UK | Your nationality, duration of your stay and purpose of your stay are the three essential factors for UK visa. For Non-EU students UK visa is mandatory. |
Intakes in UK | There are mainly two intakes in UK: January/February & September/October. |
Top Job Sectors in UK | IT Engineering, Product Design, Mobile Development, Designers, Logistics, etc. |
Economy in UK | Growth Rate: 1.3% (2018) 1.4% (2019) 1.4% (2020e), 6th Largest Economy in the World by Nominal |
Tuition & fees :
£ 14,400
Total
£ 14,400