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

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)

Curriculum Overview

Programme Duration: 4 Years (8 Semesters) Total Credits: 170 The curriculum blends core knowledge in data science and AI with hands-on application, interdisciplinary learning, and industry exposure.

Year 1: Semester-I

Sl. No	Course Category	Course Name	Credits
1	Foundation	Statistics-I	4.5
2	Foundation	Mathematics I	4.5
3	Foundation	Programming Language-I	3
4	Management	Philosophy & Sociology	4.5
5	Management	Oral Communication	3
6	Management	Yoga & Positive Psychology	3
Total			22.5
Non-Credit course: Workshop/Certification

Year 1: Semester-II

Sl. No	Course Category	Course Name	Credits
1	Foundation	Statistics II	3
2	Foundation	Mathematics II	3
3	Foundation	Programming Language-II	3
4	Foundation	Data Visualization	3
5	Management	Principles of Economics	4.5
6	Management	Principles of Management	3
7	Management	Written Communication	3
Total			22.5
Non-Credit course: Workshop/Certification

Year 2: Semester-III

Sl. No	Course Category	Course Name	Credits
1	Foundation	Data Science: An Introduction	4.5
2	Foundation	Algorithm Design and Analysis	3
3	Foundation	Database Management Systems	3
4	Foundation	Data Structures	3
5	Foundation	Programming Language-III	3
6	Foundation	Introduction to AI	3
7	Management	Principles of Marketing	3
Total			22.5
Non-Credit course: Workshop/Certification

Year 2: Semester-IV

Sl. No	Course Category	Course Name	Credits
1	Foundation	Econometrics	3
2	Foundation	Machine Learning Fundamentals	3
3	Foundation	Introduction to Simulation	3
4	Foundation	Introduction to R	3
5	Management	Decision Modelling	3
6	Management	Foundations of Information Systems	3
7	Management	Financial Accounting and Financial Management	4.5
Total			22.5
Non-Credit course: Workshop/Certification

Year 3: Semester-V

Sl.No	Course Category	Course Name	Credits
1	Foundation	Data Mining and Warehousing	4.5
2	Foundation	Natural Language Processing	3
3	Foundation	Cloud Computing	3
4	Foundation	AI Tools and Applications	3
5	Management	Operations and Supply Chain Management	3
6	Management	Strategic Management	3
7	Management	Business Research Methods	3
Total			22.5
Non-Credit course: Workshop/Certification

Year 3: Semester-VI

Sl.No	Course Category	Course Name	Credits
1	Foundation	Deep Learning and Neural Networks	4.5
2	Foundation	Fundamentals of Blockchain	3
3	Foundation	Web Technologies	3
4	Foundation	Introduction to Cyber Security	3
5	Foundation	Quantum Computing	3
6	Foundation	Essentials of Generative AI, Prompt Engineering & ChatGPT	3
7	Management	Human Resource Management	3
Total			22.5
Non-Credit course: Summer Industry Internship

Year 4: Research (Semester-VII)

Sl.No	Course Category	Course Name	Credits
1	Research (Compulsory)	Marketing Research & Analytics	4.5
Any 5 Courses (Tentative List)
2	Research	Operations Analytics	3
3	Research	Big Data Analytics	3
4	Research	Advanced Generative AI	3
5	Research	Augmented and Virtual Reality	3
6	Research	Data Preprocessing & Feature Engineering	3
7	Research	Banking and Financial Service	3
8	Research	HR Analytics	3
9	Research	Supply Chain Analytics	3
10	Research	Revenue & Pricing Analytics	3
11	Research	AI Strategy, Ethics and Governance	3
12	Research	Fintech	3
13	Research	Emerging Technology in Human Resource Management	3
14	Research	Advanced Econometrics	3
15	Research	Security Analysis & Portfolio Management	3
16	Research	Strategy in the era of Big Data	3
17	Research	Emerging trends of Analytics and AI in Public Policy	3
Total			19.5

Year 4: Research (Semester-VIII)

Sl.No	Course Category	Course Name	Credits
1	Research	Dissertation	15.5
Total			15.5

Exit Options Available After Each Year

Year	Exit Option	Award
1	Certificate	Certificate
2	Diploma	Diploma
3	Degree	B.S. Degree
4	Honours	B.S. (Hons.)

(a) Eligibility Criteria

Qualification

Must have either passed their Standard XII/HSC or equivalent examination in the year 2024 or 2025, or be currently appearing for Standard XII/HSC or equivalent examination , with results expected by June 2025.
Min. 70% in Standard X/SSC and Standard XII/HSC or equivalent examinations (General Category); 65% for SC/ST/OBC-NCL/ PwD and EWS Categories.
Must have passed English language examination in Standard X/SSC and Standard XII/HSC or equivalent examinations.
Must have a valid IIT JEE (Mains) 2025 score (mandatory for all applicants).

Relaxation for Reserved Categories

Reserved Categories (EWS, SC, ST, OBC-NCL, PwD):
A 5% relaxation in Class 10th and Class 12th aggregate percentage will be provided.
Reservation of seats will be as per Government of India’s reservation norms.

Age Limit

The maximum age for admission is 21 years as on July 31, 2025. However, relaxation in age will be provided as per Govt of India norms for the reserved candidates.

(b) Admission Process

Stage 1: Application & Eligibility

Candidates will be required to submit their applications online through the IIM Sambalpur’s admission portal. All relevant and valid documents must be submitted at the time of application through online portal.

Stage 2: Merit List Preparation

The final merit list will be prepared based on the IIT JEE (Main) Score.

Reservation Policy

IIM Sambalpur will follow the reservation policy as per the Government of India regulations:

15% of the seats are reserved for Scheduled Caste (SC) candidates.
7.5% of the seats are reserved for Scheduled Tribe (ST) candidates.
27% of the seats are reserved for Other Backward Classes – Non-Creamy Layer (OBC-NCL) candidates.
10% of the seats are reserved for Economically Weaker Sections (EWS) candidates.
5% of the seats are reserved for Persons with Disabilities (PwD).

Important Dates (Tentative)

Application Start: June 15, 2025
Last date of submission of online application: July 30, 2025
Publication of Result : Tentatively August 18, 2025
Programme Commencement: September 2025

Application Fee

General Category: ₹1000 + Taxes (If any applicable)
SC/ST/PwD Category/OBC-NCL /EWS: ₹500 + Taxes (If any applicable)
The application fee is non-refundable.
Applicants must pay the application fee (as applicable) through the online admission application portal.

Admission Confirmation

Selected candidates will receive a provisional admission offer through email.
To confirm their admission, candidates must pay the first instalment of the program fee within the stipulated deadline.
Failure to pay the fee by the deadline will result in forfeiture of the offer and the extension of the offer to the next eligible candidate on the merit list.

Fee Structure for B.S. in Data Science & AI Program

Year	Fall Semester	Spring Semester	Total
First Year	3,71,500	3,31,500	7,03,000
Second Year	3,31,500	3,31,500	6,63,000
Third Year	3,31,500	3,36,500	6,68,000
Fourth Year	3,31,500	2,31,500	5,63,000

The offer acceptance fee of Rs.50,000 will be adjusted against the SEM-I course fee.
Each Semester fee includes Rs. 31,500/- Mess Deposit amount and this amount is subject to vary depending on the service provider’s charges.
Semester 1 Fee includes an amount of Rs 40,000/- refundable caution money to be refunded at the end of the Programme, after adjusting the dues (if any).
Semester 6 fee includes alumni fund contribution.

IIM Sambalpur reserves the right to modify any part of the admission policy and rules including the various criteria and cut offs mentioned at any time till the actual admission process for the batch is completed. Any dispute concerning Admission for the B.S. in Data Science & Artificial Intelligence Programme batch would be subject to jurisdiction of the competent courts within the territorial jurisdiction of city of Sambalpur only.