IIM Sambalpur
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Indian Institute of Management Sambalpur
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Bachelor of Science in Data Science & Artificial Intelligence (B.S. - DSAI)

Bachelor of Science in Data Science & Artificial Intelligence (B.S. - DSAI)

A four-year fully residential programme building a strong foundation in mathematics, statistics, computer science and management, with hands-on AI and data engineering experience.

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Duration 4 Years
Mode Fully Residential
Entrance JEE (Mains)
Campus IIM Sambalpur Main Campus
B.S. - DSAI

Bachelor of Science in Data Science & Artificial Intelligence (B.S. - DSAI)

A four-year fully residential programme building a strong foundation in mathematics, statistics, computer science and management, with hands-on AI and data engineering experience.

B.S. - DSAI

About the Programme

As we stand at the forefront of the Fourth Industrial Revolution, data and intelligent systems are reshaping every sector from healthcare and finance to education and governance. Bachelor of Science (B.S.) in Data Science and Artificial Intelligence Programme is a timely response to the global demand for skilled professionals who can harness the power of Data and Artificial Intelligence to solve complex real-world problems. This Programme is a Four-Year fully residential Program, a program crafted to meet the evolving needs of the digital era and nurture the next generation of data-driven innovators. Today, Data Science and Artificial Intelligence are not just tools they are transformative forces reshaping industries, economies, and societies. This is designed to provide students with a strong foundation in mathematics, statistics, computer science, and management while also equipping them with hands-on experience in machine learning, data engineering, AI, and real-world industry applications. The B.S. in Data Science and Artificial Intelligence Programme at IIM Sambalpur offers a well-structured, four-year curriculum aligned with global academic and industry standards. The curriculum begins with foundational training in programming, mathematics, and statistics, then advances to core subjects such as machine learning, data mining, AI applications, big data technologies as well as core management courses. It culminates with specialized electives, capstone projects, and internships, enabling students to gain practical experience and domain-specific knowledge. This comprehensive framework ensures a balanced mix of theoretical learning, hands-on practice, and interdisciplinary exposure.

 

Program Objectives

  • Develop core competencies in Data Science & Artificial Intelligence.
  • Foster critical thinking and problem-solving abilities through hands-on experience with real-world datasets and Artificial Intelligence models.
  • Cultivate analytical thinking to transform raw data into predictive insights for business, scientific, or societal applications.
  • Bridge theory and practice by integrating academic knowledge with industry-relevant tools based on Data Science & Artificial Intelligence.
  • Encourage innovation and research through interdisciplinary projects, capstone experiences, and exposure to emerging trends.
  • Prepare graduates for diverse career paths in data science, artificial intelligence, business analytics and higher education or research.

Key Highlights

  • Curriculum aligned with the latest industry trends and academic research frontiers.
  • Intensive lab sessions, coding bootcamps, and case study-based teaching.
  • Real-world exposure through live projects, internships, and industry collaborations.
  • Final year dissertation focused on solving real-world problems using AI and data-driven approaches.
  • Industry-focused modules co-designed with leading tech firms and AI practitioners.
  • Multiple exit options in line with NEP: Certificate (1st Year), Diploma (2nd Year), Degree (3rd Year), Honours (4th Year)
Programme Resources

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