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LSE Business Analytics Certificate for Executives

The Business Analytics Certificate for Executives from LSE offers in-depth training in data analysis and business intelligence. This 10-month program combines theoretical foundations with practical applications using tools like Python, R, and Tableau.

4.9

English

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  • Course Start Date:

    Starting soon

  • Application Deadline:

    13th Sep, 2025

  • Duration:

    10-10 Months

2,30,000 - 1,87,620

Overview

The LSE Business Analytics Certificate provides comprehensive training in data analytics and business intelligence. This 10-month program combines academic rigor with practical applications through extensive hands-on projects and industry case studies.

Why MSc (Master of Science)?

This program distinguishes itself through LSE faculty expertise and industry collaboration. Students benefit from specialized AI-track, live faculty sessions, and real-world capstone projects. The curriculum balances technical skills with business acumen.

What does this course have to offer?

Key Highlights

  • Interactive video lectures

  • Case studies

  • Practical exercises

  • Live faculty sessions

  • Fortnightly doubt clearing

  • Industry projects

  • Peer learning activities

Who is this programme for?

  • Data analysts

  • Business professionals

  • Technology specialists

  • Career changers

  • Recent graduates

  • Data scientists

Minimum Eligibility

  • Undergraduate degree preferred (quantitative background)

  • OR 3 years relevant work experience

  • OR Pass aptitude test with 50%+

Who is the programme for?

The program features module-based assessment (30%) and a capstone project (70%). Projects include individual and group work, with emphasis on practical application. Pass/Fail grading with opportunity for resubmission.

Here's a Glimpse of Your Degree

Sample Degree Certificate

*Disclaimer: The image is for illustrative purposes only and may be subject to change at the discretion of Management.

Important Information

Selection process

How to apply?

Curriculum

The curriculum spans three core modules plus capstone project covering data analytics, Python programming, advanced analytics, and organizational impact. Includes 40+ case studies and hands-on projects.

There are 6 semesters in this course

The program progresses through fundamental to advanced analytics topics. Key areas include data handling, programming, visualization, predictive modeling, and business applications. Each module combines theory with practical implementation using industry tools.

Module 1: Data analytics for business

Module 2: Data analytics with Python

Module 3: Advanced analytics and organisational impact

Capstone Project

Activities

Tools

Programme Length

10 months of self-paced learning featuring video lectures, case studies, interactive sessions, and practical exercises. Over 40 case studies and 100+ practical activities.

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Associate Professor (Education), Department of Statistics

James is an Associate Professor (Education) in Statistics having gained his PhD in 2010 from LSE, asking "To p, or not to p?"!  He teaches the Department's large service-level undergraduate courses in mathematical statistics and quantitative methods.

Christine is an Assistant Professor (Education) in Statistics having earned her PhD from LSE in 2021. She is currently the lecturer of Programming for Data Science and Managing and Visualising Data .

Tuition Fee

The program fee is ₹1,87,620 with GST, payable after a ₹10,000 non-refundable application fee. Payment can be made in installments with GST extra. Corporate benefits and secure online payments are available.

Fee Structure

Payment options

Learning Experience

Students experience a comprehensive learning approach combining asynchronous content with live faculty sessions and doubt clearing. The program includes extensive hands-on practice with industry-standard tools.

University Experience

The learning environment integrates self-paced study with interactive elements. Students gain access to LSE faculty expertise, industry case studies, and specialized AI-track content.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

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About the University

University

Founded in 1895, LSE is one of the world's leading social science institutions, specializing in a wide range of social science disciplines. Located in central London, the university has established itself as a global center for research and teaching excellence. LSE's distinctive focus on social sciences has produced many world leaders, Nobel Prize winners, and influential academics.

12,000+

Total enrollment

70%

International students

Affiliation & Recognition

Russell Group

Russell Group

Universities UK

Universities UK

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

James Abdey
James Abdey

12 Courses

Distinguished Statistics Lecturer and Forensic Statistics Expert

James Abdey serves as an Associate Professorial Lecturer in Statistics at the London School of Economics and Political Science (LSE), where he earned his Ph.D. in 2010 with his innovative thesis "To p, or not to p?: Quantifying inferential decision errors to assess whether significance truly is significant." His expertise spans mathematical statistics, quantitative methods, and market research, with particular focus on forensic statistics and the intersection of statistics with law. His academic contributions include teaching core undergraduate courses and developing specialized electives in market research techniques. Beyond academia, he has established himself as a respected consultant, working on quantitative projects for organizations including the World Gold Council and the art market. His research has significantly influenced statistical methodology, particularly in hypothesis testing and inferential decision-making. Through his involvement with LSE's Summer School and the University of London International Programmes, he has played a crucial role in advancing statistical education and making complex statistical concepts accessible to diverse audiences

Expert Mathematics Educator and Course Designer at LSE

Siri Kouletsis is a seasoned mathematics educator who has worked extensively in the Department of Mathematics at The London School of Economics and Political Science (LSE), specializing in teaching linear algebra, calculus, and quantitative methods. Since 2020, she has played a pivotal role in designing course content for LSE Online's BSc programs, focusing on abstract mathematics, calculus, and linear algebra. She also leads teams of class teachers and conducts exam preparation webinars for students. From 2022 onwards, Siri has served as the course convenor for mathematics courses in LSE’s MicroBachelors® programme in Mathematics and Statistics Fundamentals offered on edX. Her dedication ensures that learners receive high-quality, accessible mathematics education tailored for both academic and professional advancement.

Career services

LSE provides comprehensive career support through LSE Careers, which operates with approximately 35 core staff members. The service focuses on facilitating successful transitions from education to employment through multiple channels, including personalized career counseling, extensive employer engagement, and tailored departmental programs. The career service operates year-round, offering one-to-one appointments, workshops, employer presentations, and dedicated career fairs. LSE's career support extends five years beyond graduation, ensuring alumni have continued access to valuable resources and guidance during their early career development. The service is particularly notable for its sector-specific approach, organizing specialized career fairs for industries such as banking and finance, while also providing comprehensive skills training workshops and networking opportunities. Professional Development Programs are tailored to different departments, ensuring students receive relevant industry insights and connections. The service also offers extensive CV advice and practice interviews, helping students prepare effectively for their chosen career paths. LSE Careers maintains strong relationships with top employers across various sectors, facilitating direct connections between students and potential employers through regular recruitment events and industry networking sessions.

35

Career service staff

5 years

Post-graduation support period

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Degree Course Image
  • Course Start Date:

    Starting soon

  • Application Deadline:

    13th Sep, 2025

  • Duration:

    10-10 Months

2,30,000 - 1,87,620

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.