LSE Executive Programme in Business Analytics
The LSE Executive Programme in Business Analytics is a 10-month online self-paced programme designed for professionals who want to build or deepen their expertise in data analytics. The programme covers foundational and advanced analytics concepts, hands-on work with Python, R, and data visualisation tools like Tableau, and culminates in a capstone project that applies learning to real business problems. Learners also receive complimentary access to GenAI tools as part of the curriculum. This programme is suitable for aspiring analysts, experienced professionals looking to upskill, career switchers, and business decision-makers who want to integrate data-driven thinking into their roles. Whether you are in finance, marketing, operations, IT, or consulting, the curriculum equips you with practical tools and structured thinking to move beyond basic reporting into advanced problem-solving and decision support. Upon completion, learners receive credentials from the prestigious London School of Economics and Political Science, one of the world's leading academic institutions. The programme is delivered online in a self-paced format, supported by live faculty sessions and peer collaboration, making it accessible to busy professionals while maintaining academic rigour.
Instructors:
English
Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
10 Months
₹ 1,59,000
Overview
The LSE Executive Programme in Business Analytics is a rigorous 10-month online learning experience offered in partnership with the London School of Economics and Political Science, one of the world's most prestigious universities. Designed for professionals across industries, the programme builds a comprehensive foundation in business analytics, from data management and interpretation to advanced techniques that drive organisational impact. The curriculum is structured around three core modules followed by a capstone project, ensuring that learning is both theoretically grounded and practically applicable. Learners work with widely used tools including Python, R, and Tableau, gaining the technical proficiency needed to clean, analyse, and visualise data effectively. Live faculty sessions and peer collaboration enrich the learning experience, enabling professionals to discuss real-world challenges and share diverse industry perspectives. The programme also includes complimentary access to GenAI tools, reflecting its commitment to keeping learners current with emerging technologies. Whether you are building analytics capabilities from scratch or looking to elevate your existing skills, this programme provides a structured, credentialled pathway to becoming a confident, data-driven professional. The LSE credential earned upon completion is recognised globally and adds significant value to your professional profile.
Why Technology & Analytics?
The LSE Executive Programme in Business Analytics stands apart because of the credibility and global reputation of its academic partner. LSE is consistently ranked among the top universities in the world, and its association with this programme ensures that the curriculum meets the highest academic standards. Beyond the credential, the programme is differentiated by its practical orientation. Every module is designed to connect theoretical knowledge with real business scenarios, so learners are not just learning concepts but applying them to solve problems they encounter in their professional lives. The inclusion of Python, R, and Tableau ensures that learners gain hands-on experience with tools that are widely demanded by employers across industries. The capstone project further reinforces this applied learning approach, requiring participants to demonstrate their capabilities on a substantive analytical challenge. The complimentary GenAI access sets this programme ahead of many alternatives by ensuring learners are prepared for the next wave of data-driven transformation. The self-paced online format, supported by live faculty interactions, strikes the right balance between flexibility and rigour, making it accessible for working professionals without compromising learning quality. For anyone serious about building a credible, employer-recognised foundation in business analytics, this programme offers a compelling combination of prestige, practicality, and career relevance.
What does this course have to offer?
Key Highlights
10-month structured online programme in partnership with LSE Hands-on work with Python, R, and Tableau Three core modules covering foundational to advanced analytics Capstone project applying skills to real business problems Complimentary access to GenAI tools Live faculty sessions and peer collaboration LSE credentials upon successful completion Designed for working professionals across diverse industries
Interested in career outcomes and specializations?
Who is this programme for?
Aspiring analysts looking to build a foundation in data analytics Experienced analysts seeking to advance into more complex problem-solving Career switchers wanting to transition into analytics roles Business decision-makers aiming to understand and use data more effectively Professionals in marketing, finance, operations, IT, or consulting seeking cross-skilling Data enthusiasts ready to move from curiosity to structured, applied capability
Minimum Eligibility
Application review based on academic or professional background Aptitude test may be required where applicable All applications evaluated per LSE entry pathways and standards Application fee of Rs 10,000 + GST required at submission Open to working professionals across industries
Not sure whether you qualify for this programme?
Who is the programme for?
Admission to the LSE Executive Programme in Business Analytics is based on a review of each applicant's academic or professional background. Candidates may be required to complete an aptitude test where applicable, and all applications are evaluated in alignment with the programme's entry pathways and standards established by LSE. There is no rigid prerequisite for years of experience, making it accessible to both early-career professionals and seasoned practitioners. The academic structure of the programme is divided into three core modules followed by a capstone project. Module 1 covers data analytics for business, establishing the foundational concepts and frameworks. Module 2 focuses on data analytics with Python, equipping learners with programming skills for data manipulation and analysis. Module 3 advances into complex analytical techniques and their organisational impact. The capstone project brings together all learning in a comprehensive applied exercise. An application fee of Rs 10,000 plus GST is required at the time of submission, with the first course instalment of Rs 74,500 plus GST due at registration and a second instalment payable on a scheduled date thereafter.
Selection process
How to apply?
Curriculum
The LSE Executive Programme in Business Analytics is structured around three progressive modules that build analytical capability from the ground up. The first module introduces data analytics for business, covering the role of data in organisational decision-making, key analytical frameworks, and foundational techniques for interpreting business data. The second module moves into applied analytics with Python, teaching learners to write code for data cleaning, manipulation, statistical analysis, and visualisation. The third module advances into complex analytics topics including predictive modelling and the broader organisational impact of analytics strategy. Each module is designed to connect concepts to real-world business contexts, ensuring that learning is immediately applicable. A capstone project concludes the curriculum, requiring learners to independently tackle a substantive analytical problem using the tools and techniques acquired throughout the programme. Complimentary access to GenAI tools is provided across the duration, supplementing the core curriculum with exposure to emerging technologies that are increasingly relevant in professional analytics settings.
There are 4 semesters in this course
Module 1, Data Analytics for Business, lays the groundwork for the programme by introducing learners to the core principles of how data supports business decision-making. Participants explore different types of business data, analytical frameworks, and the foundations of interpreting datasets to generate actionable insights. This module is designed to ensure that learners, regardless of prior background, develop a solid conceptual understanding before progressing to technical tools. Module 2, Data Analytics with Python, transitions into hands-on programming. Learners are introduced to Python as an analytical tool, covering data structures, libraries such as Pandas and NumPy, data cleaning and transformation workflows, and visualisation techniques. By the end of this module, participants are able to independently write and execute Python scripts to analyse real business datasets. Module 3, Advanced Analytics and Organisational Impact, builds on the prior two modules to introduce more sophisticated analytical methods. Topics include advanced statistical analysis, predictive modelling concepts, and the strategic application of analytics at an organisational level. This module also addresses how analytical insights are communicated to non-technical stakeholders and integrated into business strategy. The Capstone Project is the culminating assessment of the programme. Learners apply the full range of skills acquired across all three modules to address a complex, real-world business problem. The project demonstrates both technical proficiency and the ability to translate data findings into meaningful business recommendations. Complimentary Access to GenAI supplements the structured curriculum by exposing learners to generative AI tools and their emerging applications in analytics workflows.
Module 1: Data analytics for business
Module 2: Data analytics with Python
Module 3: Advanced analytics and organisational impact
Capstone Project
Programme Length
10 months. The programme is delivered online in a self-paced format, giving working professionals the flexibility to manage their learning schedule while maintaining consistent progress through structured modules.
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
Assistant Professor (Education) in Statistics
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 .
Assistant Professor of Computational Social Science, Department of Methodology
Milena Tsvetkova is an Assistant Professor in the Department of Methodology. She completed her PhD in Sociology at Cornell University in 2015. Prior to joining LSE in 2017, she was a Postdoctoral Researcher in Computational Social Science.
Tuition Fee
The total programme fee comprises an application fee of Rs 10,000 plus GST, payable at the time of submission, and a course fee structured in two instalments. The first instalment of Rs 74,500 plus GST is due at registration, and the second instalment is payable on a scheduled date communicated during the onboarding process. The total indicative course fee is approximately Rs 84,500 plus GST, excluding the application fee. No EMI or instalment flexibility beyond the two-instalment structure is explicitly mentioned. Prospective applicants are encouraged to contact a TimesPro Programme Advisor for up-to-date fee details and any applicable financial options.
Fee Structure
Payment options
Need help understanding fees, EMI options, or scholarships?
Learning Experience
The LSE Executive Programme in Business Analytics delivers a blended self-paced online learning experience supported by structured live engagement. Learners progress through the curriculum at a pace that suits their professional and personal schedules, while live faculty sessions provide direct access to academic expertise and opportunities for real-time discussion and clarification. Peer collaboration is embedded throughout the programme, allowing participants from diverse industries and roles to share perspectives, challenge assumptions, and learn from one another's experiences. The hands-on approach to tools such as Python, R, and Tableau ensures that every technical concept is reinforced through practical application. Capstone projects push learners to synthesise their knowledge and apply it independently to a complex business challenge. The inclusion of complimentary GenAI access further enriches the experience by introducing learners to the frontier of analytical tooling. Together, these elements create a learning environment that is academically rigorous, professionally relevant, and flexible enough to accommodate the demands of working life.
University Experience
The London School of Economics and Political Science is one of the world's foremost universities, consistently ranked among the global elite for its contributions to social sciences, economics, and related disciplines. Founded in 1895, LSE has a long tradition of intellectual rigour, diverse community, and global influence. Its alumni network spans governments, corporations, academia, and civil society across more than 190 countries. Earning a credential from LSE carries significant professional weight and signals a commitment to excellence that is recognised by employers and institutions worldwide. For participants in the Executive Programme in Business Analytics, the LSE association means access to a curriculum developed and delivered in alignment with the academic standards of one of the most respected institutions in the world. The programme leverages LSE's expertise in applying analytical and quantitative thinking to real social and business problems, ensuring that learners not only acquire technical skills but also develop the critical thinking mindset that distinguishes LSE-educated professionals.
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About the 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
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
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
8 Courses
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
Top Recruiters
Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
10 Months
₹ 1,59,000
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.