IIT Madras BS Degree in Management and Data Science IIT Madras BS Degree in Management and Data Science =================================================== September 28, 2026 Explore the IIT Madras BS in Management and Data Science. Learn about eligibility, course structure, 142-credit degree requirements, flexible online learning, in-person exams, key skills, career opportunities and important admission details. ![IIT_Madras_BS_Degree_in_Management_and_Data_Science](https://cdn.campusraja.com/96/conversions/01M3M17W79DCB36C4ZGFJXNCBX-hero.webp) IIT\_Madras\_BS\_Degree\_in\_Management\_and\_Data\_Science The Indian Institute of Technology Madras (IIT Madras) offers a four-year Bachelor of Science (BS) Degree in Management and Data Science, designed for learners who want to develop a strong combination of management knowledge and data analytics skills. The programme brings together important areas of business management with data science and analytics, helping students understand how data can be used to analyse business problems, generate insights and support better decision-making. **What is the IIT Madras BS in Management and Data Science?** The BS programme combines management education with advanced data analytics. It is designed to prepare students for the growing demand for professionals who understand both business functions and data-driven decision-making. Students can develop knowledge in areas such as: - Data Science and Analytics - Finance - Economics - Marketing - Supply Chain Management - Business Strategy - Information Systems - Human Resources - Business and Management The programme also emphasises applying analytical knowledge to real-world management situations. --- **IIT Madras BS Management and Data Science: Eligibility** One of the notable features of this programme is its broad eligibility criteria. **Who Can Apply?** - Candidates who have passed Class 12 or an equivalent qualification can apply. - There is no age restriction specified for applying. - Students from different academic backgrounds and Class 12 streams can apply. - Candidates are expected to have studied Mathematics and English in Class 10. Students who meet the eligibility requirements can participate in the programme's admission/qualifier process. **Can Class 11 Students Apply?** Yes. Students who have appeared for their Class 11 final examinations can also apply, irrespective of their stream, board or academic background. However, they can join the programme after successfully completing Class 12 and meeting the applicable admission requirements. --- **Course Structure** The IIT Madras BS programme is designed to provide flexibility while maintaining structured academic requirements. The programme includes online learning components such as: - Course content - Video lectures and tutorials - Case discussions - Doubt-clearing sessions - Assignments **Quizzes and examinations are conducted in person at designated examination centres.** This blended approach allows students to learn remotely while completing important assessments under supervised conditions. --- **Flexible Learning Model** A major feature of the programme is its flexible learning structure. Students can learn from their preferred location and have the option to select the number of courses they wish to take in a particular term, subject to the programme's rules and requirements. The BS degree is awarded after the student successfully earns the required 142 credits. This structure can provide learners with greater flexibility in managing their studies alongside other academic, professional or personal commitments. **What Will Students Learn?** The programme aims to develop a combination of management expertise and analytical capabilities. Students can build an understanding of how organisations operate while also learning how data can be used to support business decisions. Major areas of management include: **Finance** Understand financial concepts and their role in business decision-making. **Economics** Learn how economic principles influence businesses, markets and organisations. **Marketing** Explore customer behaviour, marketing strategies and data-driven approaches to business growth. **Supply Chain Management** Understand processes related to operations, logistics and supply chain decision-making. **Business Strategy** Learn how organisations analyse business situations and develop strategic solutions. **Information Systems** Understand the role of technology and information systems in modern organisations. **Human Resources** Explore people management, organisational behaviour and workforce-related decisions. **Data Analytics** Develop analytical skills to interpret data and generate meaningful business insights. --- **Why Study Management and Data Science Together?** Modern organisations generate large amounts of data through customers, operations, sales, finance and digital platforms. Businesses increasingly need professionals who can understand this data while also understanding the management decisions behind it. The combination of Management + Data Science can help students develop the ability to: - Analyse business data - Identify patterns and trends - Generate managerial insights - Evaluate business problems - Support evidence-based decision-making - Develop practical and implementable business solutions - Connect analytics with different management functions This interdisciplinary approach is intended to prepare graduates for roles where business understanding and analytical skills are both important. --- **Faculty and Learning Resources** The programme is designed to be taught by experts from IIT Madras, other leading business schools and industry. Students can benefit from academic content, tutorials, case discussions, assignments and other learning resources delivered through the programme's online learning environment. The combination of academic and industry-oriented perspectives can help learners understand how management and analytics concepts are applied in practical business situations. --- **Technology Requirements** Since a significant part of the programme is delivered online, students need access to suitable technology and internet connectivity. **Basic Requirements Include:** - Reliable internet connection - Laptop or desktop computer - Smartphone/mobile device where required - Required software and hardware specifications Students should check the programme's official mandatory system specifications before enrolling to ensure that their device meets the required standards. --- **In-Person Examination Requirement** Although much of the coursework can be completed online, students must be able to travel to assigned examination centres for quizzes and examinations conducted in person. Therefore, prospective students should consider the availability and location of examination centres before joining the programme. --- **Who Is This Programme Suitable For?** The IIT Madras BS in Management and Data Science may be relevant to students who are interested in combining business and technology. It can be considered by learners interested in: - Data analytics - Business management - Finance - Marketing - Business strategy - Operations and supply chains - Information systems - Human resources - Data-driven decision-making - Technology-enabled businesses The broad eligibility criteria also make the programme accessible to students from different academic backgrounds, subject to the stated requirements. --- **Career Opportunities After BS Management and Data Science** The combination of management and data skills can be relevant to several business and analytics career areas. Depending on their skills, experience and additional qualifications, graduates may explore roles such as: - Business Analyst - Data Analyst - Business Intelligence Analyst - Marketing Analyst - Operations Analyst - Financial Analyst - Supply Chain Analyst - Management Analyst - Analytics Consultant - Business Strategy Associate Actual career opportunities will depend on factors such as individual skills, experience, internships, projects, recruitment requirements and market conditions. --- **Key Highlights of IIT Madras BS Management and Data Science** **Feature** **Details** **Institute** IIT Madras **Programme** BS Degree in Management and Data Science **Duration** Four years **Eligibility** Class 12 or equivalent **Age Restriction** No age restriction specified **Academic Background** Students from different backgrounds can apply **Expected Class 10 Subjects** Mathematics and English **Learning Mode** Primarily online learning with in-person assessments **Quizzes & Exams** Conducted at designated examination centres **Credits Required** 142 credits **Major Focus** Management, Data Science and Analytics --- **Important Things to Consider Before Applying** Before applying, students should carefully review the latest programme information and admission requirements. Pay particular attention to: 1. Eligibility requirements 2. Qualifier/admission process 3. Course structure and credit requirements 4. Fee structure 5. Examination schedule 6. Examination-centre locations 7. Computer and internet requirements 8. Course workload 9. Current academic calendar 10. Official admission deadlines Students should always verify the latest details directly with IIT Madras because programme requirements, schedules, fees and admission procedures may change. --- **Conclusion** The IIT Madras BS Degree in Management and Data Science combines two increasingly important areas: business management and data analytics. The programme is designed for learners who want to understand management functions while developing the ability to use data for analysis and decision-making. With its flexible learning model, broad Class 12 eligibility and combination of online coursework with in-person assessments, the programme provides an alternative pathway for students interested in building interdisciplinary skills in management, analytics and data-driven business. For students considering this programme, understanding the eligibility criteria, qualifier process, course structure, technology requirements and examination model is essential before making an admission decision.