Students
Tuition Fee
GBP 46,700
Per year
Start Date
2026-09-01
Medium of studying
On campus
Duration
1 years
Details
Program Details
Degree
Masters
Major
Management Consulting | Data Analytics
Area of study
Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 46,700
Intakes
Program start dateApplication deadline
2026-09-01-
About Program

Program Overview


Introduction to the Business Analytics MSc Program

The Business Analytics MSc program at the UCL School of Management is designed to enhance analytical career opportunities and position students for leadership roles by developing key skills needed to unlock the true value of data.


Program Overview

This program explores how data and analytics are revolutionizing areas like strategy, marketing, and operations. With companies capturing trillions of bytes of information, businesses need individuals who can understand, process, extract value from, visualize, and communicate data, making data experts highly sought after.


Entry Requirements

  • An upper second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard is typically required.
  • Applicants with lower second-class degrees may be considered if their application is supported by relevant experience.
  • In exceptional circumstances, applicants without higher education qualifications may be considered if they demonstrate a significant track record in a related field.

English Language Requirements

The English language level for this program is Level 2. Students must meet this requirement in one single test. UCL offers Pre-Master's and Pre-sessional English courses for international students to develop their academic English and skills.


Equivalent Qualifications

Country-specific information and equivalent qualifications can be found on the International Students website. The equivalency corresponds to the broad UK degree classification stated, with international equivalencies being higher when a specific overall percentage is required in the UK qualification.


About the Degree

This MSc program equips students with a mix of management insights, statistical, computational, and analytical skills, and a deep understanding of the technology required to handle data at scale. Students will graduate confident in manipulating and transforming large datasets into solutions for complex business problems.


Who This Course Is For

The program is ideal for individuals who want to solve business problems through data. It seeks intellectually curious, self-motivated individuals passionate about business, technology, and people, and who are prepared to commit to a rigorous academic program.


What the Course Will Give You

  • The opportunity to study at UCL, a global top 10 university.
  • Become part of the UCL School of Management, ranked 2nd in the UK for business and management research.
  • Benefit from extensive industry and faculty networks, with close links to top global companies and high-growth businesses.
  • Learn from teaching staff who work with and advise global organizations, bringing unparalleled insight into the classroom.
  • Soak up exceptional views from the iconic One Canada Square, located in the heart of Canary Wharf, London's global business and financial hub.
  • Apply newly learned skills to a real business problem through the Term 3 dissertation.

Employability

Graduates will be well-equipped to influence company strategy and decision-making, driving business performance by transforming data into a strategic asset. Skills learned will be highly relevant to global corporations, consulting firms, and high-growth startups in the finance, retail, and technology sectors.


Networking

Students will have regular opportunities to connect, collaborate, and build professional contacts through specially designed Connected Cohort activities and optional study trips with the Global Engagement team.


Teaching and Learning

The program is delivered through a combination of lectures, seminars, tutorials, and project work. Assessment methods include examinations, tests, quizzes, individual and group coursework, presentations, and a dissertation project. Each taught module delivers core teaching activities, mostly in the format of lectures, with additional independent study expected.


Modules

Core Modules

  • Business Strategy and Analytics
  • Marketing Analytics
  • Operations Analytics
  • Statistical Foundations of Business Analytics
  • Predictive Analytics
  • Business Analytics Consulting Project/Dissertation
  • Programming for Business Analytics

Optional Modules

  • Data Engineering
  • Data Visualisation
  • Natural Language Processing
  • Creativity and Critical Thinking
  • Leading High Performance Teams
  • Technology Entrepreneurship
  • Influence and Negotiations
  • Decision and Risk Analysis
  • Fintech
  • Managing Diversity
  • Technology and Collective Intelligence
  • Machine Learning for Domain Specialists

Accessibility

The department endeavors to make reasonable adjustments for students with disabilities. Details of the accessibility of UCL buildings can be obtained from AccessAble, and further information is available from the UCL Student Support and Wellbeing Services team.


Fees and Funding

Fees

  • UK students: Ł25,300 (2026/27)
  • International students: Ł46,700 (2026/27)

Funding

  • The Fulbright Commission Award is available for US graduate students.
  • MSc Business Analytics Scholarship offers up to Ł10,000.
  • Other scholarships are available, including the UCL East London Scholarship, with details found on the Scholarships and Funding website.

Next Steps

Students are advised to apply as early as possible due to competition for places. A staged admissions process is in place, ensuring all applications are considered fairly and equally. Applicants should note the application deadlines and the requirement for a personal statement outlining their reasons for studying Business Analytics at the graduate level and at UCL.


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