Business Analytics with specialisation in Computer Science

This exciting and challenging programme studies how data can be utilised to solve major business and societal challenges. The programme provides students with the knowledge, technical ability and skills for leadership roles in the fields of business analytics and data science.

The programme is designed to give students multidisciplinary skills in computing (i.e. programming, big data), analytics (i.e. data mining, machine learning, computational statistics, complexity), and business analysis. Emphasis will be on business problem framing, leveraging data as a strategic asset, and communicating complex analytical results to stakeholders.

Students undertake modules to the value of 180 credits.

The programme consists of five core modules (90 credits), two optional modules (30 credits) and a dissertation (60 credits). 

Core modules

• Programming for Business Analytics
• Data Analytics
• Introduction to Supervised Learning

Please note: the availability and delivery of modules may vary.

Optional modules

• Applied Machine Learning
• Business Strategy and Analytics
• Consulting Psychology
• Consumer Behaviour
• Data Science for Spatial Systems
• Decision and Risk
• Decision and Risk Analysis
• Graphical Models
• Group Mini Project: Digital Visualisation
• Information Retrieval and Data Mining
• Mastering Entrepreneurship
• Statistical Design of Investigations
• Statistical Models and Data Analysis
• Statistical Natural Language Processing
• Talent Management
• Urban Simulation
• Web Economics

Please note: the availability and delivery of modules may vary.

Dissertation/report

During the summer students will undertake a work placement with a UCL industrial partner. The research and data analysis conducted during this placement will form the basis of a 10,000-word dissertation.

Teaching and learning

The programme is delivered through a combination of lectures by world-class academics and industry leaders, seminars, workshops, tutorials and project work. The programme comprises two terms of taught material, followed by examinations and then a project. Assessment is through unseen written examinations, coursework and the dissertation. 

A minimum of an upper second-class UK Bachelor's degree (or overseas equivalent) in a quantitative subject as computer science, engineering, mathematics, physics or a quantitative social science subject.
Applicants must be proficient in object-orientated and/or analytical programming, have strong communication skills, and an outstanding aptitude for quantitative analysis.