BSc (Hons) Data Science and Analytics with Foundation

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.

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  • Computer Systems and Networks
  • Critical Thinking for Academic and Professional Development
  • Foundation Mathematics
  • Information Systems and Data Representation
  • Introduction to Academic Practice
  • Programming
  • Applied Mathematics
  • Database design and Implementation
  • Requirements Modelling
  • Software Development
  • Statistical Modelling and Analysis
  • Business Analytics
  • Data Engineering
  • Data Science Project Lifecycle
  • Data Visualisation and Communication
  • Machine Learning and Data Mining
  • Algorithms: Theory, Design and Implementation
  • Database Systems
  • Information Technology Security
  • Object-oriented Programming
  • Data Science and Analytics Final Project
  • Data Visualisation and Dashboarding
  • Operational Research and Optimisation
  • Applied AI
  • Big Data Analytics
  • Customer Relationship and Change Management (CRM & CM) with Business Intelligence
  • Digital Marketing, Social Media and Web Analytics
  • Information-Driven Entrepreneurship and Enterprise
  • £15,400 Per Year

    International student tuition fee

    4 Years


    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time