Course options

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Course summary

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, you will be able to move on to study for the Data Science and Analytics BSc Honours over a further three years study. Our Data Science and Analytics BSc will give you the combination of analytical, technical and presentation skills to convert data into valuable insights. 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 involves 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. Studying our course, you'll develop knowledge of the fundamental principles and technologies that underpin the disciplines of maths, statistics and computing with an emphasis on the skills and theories required in data science and analytics. You'll learn how to apply cutting-edge maths, 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. Our 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'll have the opportunity to complete a year in industry (work placement) after completing the second year of your study. This will help you gain work experience and enhance your employability after you graduate. You'll 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'll be assigned into roles involving tasks related to data science and analytics. At the end of your studies, you'll 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.


How to apply

Application codes

Course code:
I106
Institution code:
W50
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

International applicants

If your first language is not English, you will need an IELTS of 6.0 overall, with 5.5 in each component.

Entry requirements

Qualification requirements


English language requirements

TestGradeAdditional details
IELTS (Academic)IELTS of 6.0 overall with 5.5 in each component.

Unistats information

Operated by the Office for Students
No data
Student satisfaction
60%
Employment after 15 months (Most common jobs)
77%
Go onto work and study

The student satisfaction data is from students surveyed during the Covid-19 pandemic. The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

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
EU £15400 Year 1
International £15400 Year 1

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Data Science and Analytics with Foundation at University of Westminster, London - UCAS