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MSc Business Analytics

  • DeadlineStudy Details:

    MSc: 12 months full-time

Course Description

The global economy is changing. Businesses are becoming more complex and interconnected. Organisations are generating and capturing trillions of bytes of information about their customers, suppliers and operations. And the technology, tools and platforms for analysing this data are evolving incredibly fast. This explosion of complexity, data, and technology is disrupting industries and creating new opportunities.

But understanding the technology alone isn’t enough.

The world’s leading companies need people who understand how management best practices are evolving to adjust to this new deeply complex, interconnected and data-driven world.

People who can take data and transform it into a powerful strategic asset – people who deeply understand data, its potential and its limitations, who can frame complex data-driven business problems, analyse data with the right statistical techniques, employ the latest analytics tools and methods, and communicate analytics results to business executives, partners and customers.

The UCL Business Analytics programme provides a rigorous, practical foundation in these critical skills and provides a platform for careers with global companies and high-growth businesses tackling world-scale problems.

Entry Requirements

We are looking for intellectually curious, self-motivated students who are passionate about business, technology and data.

  • Academic Profile: The minimum entrance requirements are an upper second-class (2:1) Bachelor’s degree from a UK university or an overseas equivalent and a strong aptitude for quantitative analysis. Applicants are likely to have studied a range of degrees including business, engineering, computer science, economics, and psychology. International Students may ascertain qualification equivalents from the UCL international students website. UCL Admissions check qualification equivalencies before forwarding application forms to our School. The UCL School of Management is unable to comment on international qualifications.
  • Career Aspirations: Focused on helping global companies and high-growth businesses use business analytics to tackle world-scale problems.
  • English Language Skills: Applicants whose first language is not English must be able to provide evidence that their spoken and written command of the English language is adequate. UCL’s preferred English language qualification is the International English Language Testing System (IELTS). A ‘Level 2’ is required for the Business Analytics: i.e. an overall grade of 7.0, with a minimum of 6.5 in each of the subtests.
  • Application Process: Qualifications are assessed only once an application has been submitted. The equivalency of overseas qualifications cannot be assessed unless a full application with all supporting documentation such as degree transcripts, references, etc. has already been submitted to UCL.

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Fees

For fees and funding options, please website to find out more

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

Graduates from this programme will be highly employable in global companies and high growth businesses, finance and banking organisations and consulting firms. They will be equipped to influence strategy and decision-making, and be able to drive business performance by transforming data into a powerful strategic asset.

Module Details

Core Modules

  • MSIN0093 Business Strategy and Analytics
  • MSIN0094 Marketing Analytics
  • MSIN0096 Statistical Foundations for Business Analytics
  • MSIN0143 Programming for Business Analytics
  • MSIN0097 Predictive Analytics
  • MSIN0095 Operations Analytics
  • Consulting Project/Dissertation

Optional Modules

  • MSIN0074 Network Analysis
  • MSIN0159 Decision and Risk Analysis
  • MSIN0166 Data Engineering
  • MSIN0167 Data Visualisation
  • MSIN0221 Natural Language Processing
  • COMP0142 Machine Learning for Domain Specialists
  • MSIN0231​ Machine Learning for Business
  • MSIN0237 Technology and Collective Intelligence
  • MSIN0236 Managing Diversity
  • MSIN0081 Creativity and Critical Thinking
  • MSIN0148 Influence and Negotiations
  • MSIN0088 Leading High-Performance Teams
  • MSIN0098 Technology Entrepreneurship
  • MSIN0226 Fintech

The optional modules listed are subject to change each year and are indicative only. Optional modules can change for a variety of reasons including but not limited to updated learning outcomes, lack of demand and resourcing.

 

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