University of Westminster

Course Introduction

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.

This course 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.

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.

Course Modules

YEAR 1

Subjects of study include:

• Business Information Systems Concepts

• Computer Science Practice

• Mathematics for computing

• Modelling user and system requirements

• Programming Principles I

• Programming Principles II

• Statistical modelling and analysis

Credit Level 4

YEAR 2

Subjects of study include:

• Agile project management

• Algorithms: Theory design and implementation

• Business Analytics

• Database Systems

• Information Technology Security

• Machine Learning and Data mining

• Object-oriented programming

• Service Operations management

Credit Level 5

YEAR 3

• Advanced Analytics

• Big Data Analytics

• Business Intelligence

• Data visualisation and dashboarding

• Digital marketing social media and web analytics

• Final year project

• Information driven entrepreneurship and enterprise

• Web intelligence

Credit Level 6

Start Date:

09/2020

Duration & Attendance Qualification Tuition fees Fee type
3 years
Full Time
Bachelor of Science (with Honours) - BSc (Hons) £9,250 Home Fees
3 years
Full Time
Bachelor of Science (with Honours) - BSc (Hons) £9,250 European Fees
3 years
Full Time
Bachelor of Science (with Honours) - BSc (Hons) £14,000 Overseas Fees
4 years
Full Time With Year in Industry
Bachelor of Science (with Honours) - BSc (Hons) £9,250 Home Fees
4 years
Full Time With Year in Industry
Bachelor of Science (with Honours) - BSc (Hons) £9,250 European Fees
4 years
Full Time With Year in Industry
Bachelor of Science (with Honours) - BSc (Hons) £14,000 Overseas Fees

Qualifications required:

  • IELTS (Academic)6.06.0 overall with a minimum 5.5 in each component