Business Analytics (Online)
Imperial College London’s Master of Science in Business Analytics (Online) provides a flexible, part-time option for professionals seeking to advance their careers through data-driven decision-making. This two-year, online program equips students with the knowledge and tools needed to analyze complex data and apply insights to business strategy. Topics covered include data analytics, machine learning, predictive modeling, and decision optimization, preparing students for leadership roles in data science and analytics.
The online format offers flexibility, allowing students to balance their studies with professional responsibilities while engaging with a global network of peers. Graduates will be well-equipped to lead business transformation through data analytics, bringing valuable insights to companies across various industries. The program’s emphasis on practical application ensures that students will gain relevant skills to make an immediate impact in the world of business analytics.
Key information
Key Facts
- Program Title: Master of Science in Business Analytics (Online)
- Degree Type: Master of Science (MSc)
- Duration: 2 Years
- Mode of Study: Part-time, Online
- Application Deadline: 29th April 2026
- Location: University of Imperial College London, United Kingdom
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Business Analytics
• Introduction to Business Analytics and Data-Driven Decision Making
• Statistical Methods for Data Analysis
• Programming for Data Science (Python/R)
• Business Economics and Organizational Behaviour
• Research Methods in Analytics
Semester 2 – Advanced Analytical Techniques
• Predictive Analytics and Machine Learning
• Data Mining and Big Data Management
• Data Visualization and Communication
• Database Systems and SQL
• Applied Project in Business Analytics
Semester 3 – Specialized Analytics Applications
• Marketing Analytics and Consumer Insights
• Financial and Risk Analytics
• Operations and Supply Chain Analytics
• Business Intelligence and Decision Support Systems
• Independent Applied Research Project
Semester 4 – Capstone Project & Professional Development
• Capstone Project in Business Analytics
• Strategic Decision Making Using Analytics
• Advanced Topics in Data-Driven Business Solutions
• Professional Skills Development and Presentation
• Portfolio Preparation and Industry Engagement
Career Opportunities
Graduates of this program are prepared for careers in data analytics, business intelligence, and strategic decision-making. They gain expertise in data interpretation, statistical modeling, and predictive analytics, making them valuable for roles in consulting firms, finance, marketing analytics, technology companies, and large corporations. The program also equips graduates with skills to work in risk management, operations, or business strategy roles, and provides a strong foundation for those pursuing PhD studies or analytics-focused research. Graduates leave with the ability to analyze complex datasets, generate actionable insights, and implement data-driven strategies that support organizational growth and innovation.
Why Choose This Program
This program is ideal for students seeking a comprehensive understanding of business analytics in a flexible online format. It combines theoretical knowledge, practical case studies, and research-led projects, allowing students to develop skills in data modeling, visualization, and decision-making. Students benefit from real-world applications, mentorship by industry experts, and access to advanced analytics tools, preparing them for careers in analytics, consulting, finance, marketing, and operations. Upon completion, graduates are equipped to lead data-driven projects, implement innovative business solutions, and make strategic decisions that drive measurable business impact.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)20 7589 5111
Email: admissions@imperial.ac.uk
Address: Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
