B.Sc. – Artificial Intelligence and Data ScienceB.Sc. – Artificial Intelligence and Data Science

Explore the BSc in AI and Data Science Degree for Future Innovation

B.Sc. – Artificial Intelligence and Data Science

Explore the language of intelligence, turn raw data into discovery, and engineer the algorithms of tomorrow with our B.Sc. in Artificial Intelligence and Data Science program at Indira University.

Study Mode
Full Time

Duration
Graduation - 3 Years & Honours -4 Years

Commencement
July 2026

Assessment
Semester

Location
School of Information Technology, Indira University, Tathawade , Pune

Overview

The B.Sc. in Artificial Intelligence and Data Science program is a cutting-edge undergraduate program designed to equip students with the artificial intelligence and data science skills needed to thrive in the era of intelligent systems and big data. The program integrates computer science, mathematics, statistics, and domain knowledge to build expertise in machine learning, deep learning, data analytics, and artificial intelligence. Students learn to collect, process, and analyze large volumes of data to develop data-driven insights and intelligent solutions.

The curriculum emphasizes practical learning through hands-on projects, industry internships, and exposure to real-world applications such as natural language processing, computer vision, and predictive modeling. Graduates are prepared for diverse career roles like Data Scientist, AI Engineer, Business Analyst, and Machine Learning Engineer across industries such as IT, finance, healthcare, and research. This innovation, problem-solving, and ethical AI practices shape Indira as the best college for B.Sc. in AI and Data Science in Pune.

AI and Data Science program at our university fosters innovation, problem-solving, and ethical AI practices, shaping students into future-ready professionals in the digital age.

Why pursue a B.Sc. in AI and Data Science program with Indira University?

Industry-aligned and future-ready programs

Interdisciplinary curriculum

Ethical use of AI supported by modern tools

Internships, industry collaborations, certifications, and project-based learning

Prepares students for high-demand careers

Offers flexibility for learners from diverse academic backgrounds

Testimonials

QuoteSumit Suryawanshi,
Software Development Engineer, F5 Networks

Sumit-Suryawanshi

I am proud to be an alumnus of Indira College of Commerce and Science, now Indira University. My time there was shaped by passionate educators, a well-structured curriculum, and practical learning experiences that built my confidence to face real-world challenges.

The unwavering support from the faculty, who genuinely cared about each student’s progress, made a lasting impact on my academic and personal growth. I am grateful for the values and lessons I gained, which continue to guide me in my professional journey.

QuoteAkshay Sharma,
Cloud Administration Lead, ZS Associates

Akshay-Sharma

Indira College of Commerce and Science provided an exceptional learning experience with its top-notch education, modern infrastructure, and excellent placement support. The faculty was highly knowledgeable and always encouraged innovation.

The college offered numerous opportunities to participate in extracurricular activities, helping in overall personality development. My internship at PTC Software India was a stepping stone in my career. The supportive environment, strong mentorship, and vibrant campus life made my journey truly memorable and rewarding.

QuoteSameer Khan,
Senior Software Engineer, Mastercard

Sameer-Khan

I have completed my BSc computer science graduation from ICCS in the year 2019 and got campus placement in Deloitte USI where I worked as an Automation Tester for 2.5 years. Later, I switched to Mastecard Technology and continuing working there since last 3 years.

I would really like to mention that, the motivation and guidance I received from our respected teachers to participate in intercollegiate competition, research paper activities, and campus placement drives, helped me a lot to be where I’m today. Thanks to all ICCS teaching and non teaching members for helping students to succeed in their career path.

Overview

The B.Sc. in Artificial Intelligence and Data Science syllabus is a journey that begins with cutting-edge learning, immersing you in the dynamic worlds of artificial intelligence, machine learning, and big data technologies. Through practical mastery, you will engage in real-world projects and hands-on coding, transforming theoretical knowledge into meaningful solutions. The close industry connect amplifies this experience: internships and expert-led sessions bring workplace insights directly into the classroom, bridging the gap between campus and career.

Innovation and research lie at the heart of the program, AI and Data Science, offering you the chance to explore creative AI applications that will shape tomorrow’s landscape. Equally important is the ethical edge you will develop, learning to design responsible and impactful AI systems. By the time you graduate, you will be career-ready and equipped not only with strong technical and analytical abilities but also with clear communication skills and leadership potential to excel in the evolving domain of intelligent systems and data innovation.

Promote-Interdisciplinary-Learning

Curriculum

SEMESTER I
Nature of the Course Title Credits
Major Mandatory Problem Solving using Python Programming 2
Major Mandatory Lab Course based on Python Programming 2
Major Mandatory Descriptive Statistics 2
Major Mandatory Lab Course based on Descriptive Statistics 2
Minor Computational Mathematics 2
Minor Lab Course based on Computational Mathematics 2
Open Elective Digital Marketing 2
Skill Enhancement
Course
Foundations of AI and Data Science 2
Indian Knowledge System
(Generic)
Introduction to Indian Knowledge Systems (IKS) 2
Ability
Enhancement Course
English Proficiency Skills -I 2
Value Education
Course
Essentials of Sustainability 2
SEMESTER-II
Nature of the Course Credits Title
Major Mandatory 2 Advanced Python Programming
Major Mandatory 2 Lab Course on Advanced Python
Major Mandatory 2 Probability & Distributions
Major Mandatory 2 Graph Theory
Minor 2 Database Management System
Minor 2 Lab Course on Database Management System
Open Elective 2 Foreign Language-II (German/Korean/Spanish)
Skill Enhance Course 2 Lab Course based on Probability and Graph Theory
Ability Enhancement Course 2 English Proficiency Skills – II
Value Education Course 1 Environmental Studies
Value Education Course 1 Decoding AI
Co-curricular Course 2 Health & Wellness, Yoga Education, Sports & Fitness,
Cultural Activities, NSS/NCC and Fine/Applied/Visual/Performing Arts
Semester III
Nature of the Course Credits Title
Major Mandatory 2 Relational Database Management System
Major Mandatory 2 Basic Data Structures
Major Mandatory 2 Lab Course on RDBMS
Major Mandatory 2 Computing in Ancient India
Vocational Skill Course 2 Lab Course on Data Structures
Minor 2 Inferential Statistics
Minor 2 Lab Course on Inferential Statistics
Open Elective 2 Foreign Language-III (German / Korean / Spanish)
Ability Enhancement Course 2 Modern Indian Languages (Hindi / Marathi / Sanskrit)
Field Project 2 Mini Project
Co-curricular Course 2 Physical Education + SOUL
Semester IV
Nature of the Course Credits Title
Major Mandatory 2 Supervised Machine Learning Techniques
Major Mandatory 2 Advanced Data Structures
Major Mandatory 2 Lab Course on Supervised ML and Advanced Data Structures
Major Mandatory 2 Core Artificial Intelligence Concepts
Major Mandatory 2 Lab Course on Core Artificial Intelligence
Vocational Skill Course 2 Linear Algebra for Machine Learning
Open Elective 2 Foreign Language-IV (German / Korean / Spanish)
Skill Enhancement Course 2 Software Engineering
Ability Enhancement Course 2 Modern Indian Languages (Hindi / Marathi / Sanskrit)
Field Project 2 Mini Project
Co-curricular Course 2 Health & Wellness, Yoga Education, Sports & Fitness,
Cultural Activities, NSS/NCC and Fine/Applied/Visual/Performing Arts/Physical Education

Semester V
Nature of the Course Credits Title
Major Mandatory 2 Advanced AI Techniques & Applications
Major Mandatory 2 Unsupervised Machine Learning Techniques
Major Mandatory 2 DAA – I (Brute Force, D&C, Greedy, Dynamic Programming)
Major Mandatory 2 Lab Course on Advanced Artificial Intelligence
Major Mandatory 2 Lab Course on Unsupervised Machine Learning
Minor 2 Operations Research
Major Elective 2 MEAN (MongoDB, Express.js, AngularJS, Node.js)
Major Elective 2 Practical based on MEAN
OR
Major Elective 2 Mobile Application Development
Major Elective 2 Lab Course based on Mobile Application Development
Vocational Skill Course 2 Lab Course on Power BI & Tableau
Field Project 4 Project Work

Semester VI
Nature of the Course Credits Title
Major Mandatory 2 Data Preparation and Visualization
Major Mandatory 2 Data Mining and Warehousing
Major Mandatory 2 DAA – II (Backtracking, B&B, Randomized, P&NP and Approximation Algorithms)
Major Mandatory 2 Lab Course on Data Preparation and Visualization
Major Mandatory 2 Lab Course on Data Mining and Warehousing
Major Elective 2 Big Data Analytics
Major Elective 2 Lab Course on Big Data Analytics
OR
Major Elective 2 Financial Analytics
Major Elective 2 Lab Course on Financial Analytics
Minor 2 NoSQL Databases
On Job Training 4 On Job Training

Semester VII (Honors with Research Degree)
Nature of the Course Credits Title
Major Mandatory 4 Deep Learning – I
Major Mandatory 2 Natural Language Processing – I
Major Mandatory 2 Lab Course on Deep Learning
Major Mandatory 2 Lab Course on Natural Language Processing
Major Elective 2 Supply Chain & Logistics Analytics
Major Elective 2 Lab Course on Supply Chain & Logistics Analytics
OR
Major Elective 2 Healthcare Analytics
Major Elective 2 Lab Course on Healthcare Analytics
Research Project 4 Research Project
Research Methodology 4 Research Methodology

Semester VII (Honors Degree)
Nature of the Course Credits Title
Major Mandatory 2 Deep Learning – I
Major Mandatory 2 Natural Language Processing – I
Major Mandatory 2 Lab Course on Deep Learning
Major Mandatory 2 Lab Course on Natural Language Processing
Major Mandatory 2 Cloud Computing
Major Elective 2 Supply Chain & Logistics Analytics
Major Elective 2 Lab Course on Supply Chain & Logistics Analytics
OR
Major Elective 2 Healthcare Analytics
Major Elective 2 Lab Course on Healthcare Analytics
Research Methodology 4 Research Methodology

Semester VIII (Honors with Research Degree)
Nature of the Course Credits Title
Major Mandatory 4 Deep Learning – II
Major Mandatory 2 Natural Language Processing – II
Major Mandatory 2 Lab Course on Deep Learning
Major Mandatory 2 Lab Course on Natural Language Processing
Major Elective 2 DevOps
Major Elective 2 Lab Course Based on DevOps
OR
Major Elective 2 Computer Vision (Image Processing)
Major Elective 2 Lab Course on Computer Vision
Research Project 8 Research Project

Semester VIII (Honors Degree)
Nature of the Course Credits Title
Major Mandatory 4 Deep Learning – II
Major Mandatory 2 Natural Language Processing – II
Major Mandatory 2 Lab Course on Deep Learning
Major Mandatory 2 Lab Course on Natural Language Processing
Major Mandatory 4 Natural Language Processing
Major Elective 2 DevOps
Major Elective 2 Lab Course Based on DevOps
OR
Major Elective 2 C# .NET Programming
Major Elective 2 Lab Course on C# .NET
On Job Training 4 On Job Training

Pedagogy and Learning Methodology

The bachelor’s in artificial intelligence and data science program employs a hands-on, experiential pedagogy aimed at providing students with foundational exposure to data and its applications. Learners engage in interactive lectures, practical labs, and beginner-level projects to understand core concepts in data analytics, programming, and AI tools. Through structured exercises and case studies, students develop analytical thinking, problem-solving, and basic data-handling skills. Collaborative assignments, workshops, and mentorship sessions foster teamwork and communication. The curriculum emphasizes ethical use of data, computational thinking, and iterative learning. By blending theory with practice, students gain confidence in exploring datasets, experimenting with AI models, and building a strong foundation for advanced studies and real-world applications in data science.

Key Points:

  • Foundational Exposure
  • Interactive Lectures
  • Practical Labs
  • Collaborative Assignments
  • Case Studies and Workshops
  • Mentorship Sessions

Industry Immersion

Industry immersion introduces undergraduate students to real-world AI and Data Science applications through Case Study-based problem solving, micro internships in collaborations with tech companies. Students gain practical experience in data analytics, machine learning, and AI solutions, bridging academic concepts with industry practices to build strong professional skills and a career readiness skill set.

indira-university-industry-exposure-1

IT Industrial Visits

lines svg

As part of its commitment to bridging the gap between academic learning and industry practice, Indira University organizes regular Industrial Visits to the IT Sector for its students. These visits are a key component of the curriculum, offering students the chance to explore real-world applications of their studies and gain invaluable insights into the technology industry.

thumb-CYBER-SECURITY-B-Sc

PCMC Cyber Threats Collaboration

lines svg

As part of its ongoing efforts to enhance cybersecurity awareness and preparedness, Indira University has initiated an exciting partnership where its Cyber Students work closely with PCMC to tackle pressing cyber threats and promote safe online practices.

SOIT-faculty

Partnerships with Firms and Government

lines svg

With the increasing importance of securing digital data, partnerships with leading cybersecurity firms or government agencies offer the students of Indira University, one of the top colleges for B.Sc. in AI and Data Science in Pune, hands-on experience in identifying, preventing, and responding to cyber threats.

Industry Readiness Program3

Industry Readiness Program

lines svg

Tie-ups with training institutes and industry leaders are done to provide students with hands-on training, exposure to industry practices, and essential soft skills required for a successful career in technology. The Industry Readiness Program will help bridge the gap between academic learning and real-world demands, ensuring that students graduate with industry-ready skills.

Campus_Connect_Linkedin_Event

Project Guidance Program

lines svg

In its ongoing efforts to bridge the gap between academic learning and industry requirements, Indira University has a Project Guidance Program, where PG students work closely with industry experts on real-time projects. This collaboration ensures that students not only gain practical knowledge but also develop the skills and expertise required to succeed in today’s fast-paced job market.

Exposure Trips

At our university, we believe learning goes beyond classrooms. The Exposure Trips for the course are designed to immerse students in real-world environments where cutting-edge technologies are shaping the future. These trips include visits to leading IT companies, AI research labs, data analytics firms, and innovation hubs, offering students a chance to observe live projects and interact with industry experts. Students gain insights into AI applications, big data workflows, cloud platforms, and emerging trends. Through these experiences, learners develop practical skills, networking opportunities, and industry readiness, ensuring they graduate with both academic knowledge and hands-on exposure.

SUmmer-school-SOIT

Summer School Program

lines svg

Indira University collaborated with Synergy University in Moscow and Cox & Kings Financial Services Ltd to provide students with a unique Summer School Program. This initiative offered global exposure through workshops, interactive sessions, and cultural exchanges, enhancing students’ understanding of international business practices, communication trends, and cross-cultural management. Participants gained valuable insight into global markets while networking with peers and professionals abroad, broadening their academic and cultural perspectives.

Study Visit (1)

Study Tour and MOU

lines svg

As part of its mission to deliver globally aligned education, Indira University conducted a study tour to Asia Pacific University in Kuala Lumpur. The tour allowed students to explore academic innovations and technological advancements in Malaysia. During the visit, an MOU was signed to implement training programs in Information Technology, Commerce, and Management. This partnership ensures students receive international academic inputs, skill-building workshops, and hands-on learning experiences, preparing them for global careers.

ISCA-SOIT

India Science Congress Association (ISCA)

lines svg

Demonstrating a strong research orientation, students from Indira University actively participated in the India Science Congress Association (ISCA). They presented research papers and posters on emerging topics across science, technology, and innovation. This exposure helped them develop critical thinking, presentation skills, and the confidence to contribute to scholarly discussions. It also provided a platform to engage with experts, researchers, and academicians from across the country, fostering a research-driven mindset.

Hotel Gourish, Mahabaleshwar

Mahabaleshwar Green Tour

lines svg

In alignment with its sustainability goals, Indira University organized a Green Tour to Mahabaleshwar. This educational excursion allowed students to explore eco-tourism initiatives, organic farming practices, and environmental conservation efforts in the region. Alongside academic enrichment, the tour aimed to instill a sense of ecological responsibility and promote well-being. Students also had the opportunity to bond with peers, reflect on environmental issues, and enjoy nature’s tranquility, making learning holistic and memorable.

Career Opportunities

A bachelor’s degree in artificial intelligence and data science equips students with foundational skills in programming, machine learning, and data analytics, preparing them for a wide range of entry-level and evolving career opportunities. Graduates can pursue roles such as Data Analyst, Machine Learning Assistant, AI Developer, Business Intelligence Associate, and Data Engineer Trainee. With the future of technology increasingly driven by AI and data-based solutions, this program offers strong career prospects in industries like IT, finance, healthcare, and education. Students can also explore roles in AI testing, data visualization, and research assistance, building a solid base for advanced studies or specialization.

The career opportunities for the students of artificial intelligence and data science include:

Data Analyst
Machine Learning Engineer
AI Developer / Assistant AI Engineer
Data Engineer Trainee
Business Intelligence (BI) Associate
Data Scientist
AI Research Assistant
Natural Language Processing (NLP) Intern / Assistant
Computer Vision Developer (Entry-Level)
Robotics Programmer (Junior Level)
Data Visualization Specialist
AI Testing and Validation Engineer
Data Science Intern / Associate
AI Solutions Associate
AI Ethics and Compliance Assistant

Overview

The B.Sc. in AI & DS admission process at Indira University is designed to be straightforward and transparent. Each stage, from filling out the application form to final submission, is clearly outlined, providing applicants with a seamless and hassle-free experience as they apply to various programs.

HSC (10+2) Science Stream with Mathematics or its equivalent Examination.

Or

Three-Year Diploma Courses, after S.S.C. (10th standard) of the Board of Technical Education conducted by the Govt. of MH or its equivalent.

And

Non-zero score in Indira CET(UG)

B.Sc. AI and Data Science Admission Process

1

Meet the Eligibility Criteria

2

Fill the Application Form

3

Pay the Application Fee

4

Take “Indira University Common Entrance Test” – Indira CET (UG)

5

Check the Merit List

6

Receive the Admission Offer Letter

7

Admission Confirmation

8

Program Commencement

Scholarships

At Indira University, we are committed to ensuring that education remains within reach for all. To support students who face financial challenges, we have established a range of scholarships. These awards are designed to remove economic barriers, allowing deserving learners to concentrate fully on their studies and build their future with confidence.

Learn More

Careers-Page-Mobile-Banner

B.Sc. Artificial Intelligence and Data Science is an undergraduate program that focuses on AI concepts, machine learning, data analytics, and intelligent systems. It trains students to analyse data, build predictive models, and develop AI-driven solutions used across modern digital applications.

Yes, B.Sc. in AI and Data Science is worth pursuing in India due to growing adoption of AI across IT, finance, healthcare, manufacturing, and e-commerce. The increasing demand for data-driven decision-making has created strong career opportunities for AI and analytics professionals.

The scope of B.Sc. Artificial Intelligence and Data Science is strong, with opportunities in analytics, automation, machine learning, and AI development. Graduates can work across industries or pursue higher studies, certifications, and research as AI technologies continue to expand globally.

Career opportunities include roles such as Data Analyst, Machine Learning Engineer, AI Developer, Business Intelligence Associate, Data Engineer, and AI Research Assistant. These roles are available in IT services, analytics firms, startups, healthcare technology, fintech, and product companies.

The average starting salary after B.Sc. AI and Data Science typically ranges between ₹4–6 LPA. Salary levels depend on technical skills, project experience, job role, and industry, with higher packages possible for candidates with strong AI and data expertise.

Candidates must have completed 10+2 in the Science stream with Mathematics or an equivalent qualification. Diploma holders after SSC may also be eligible, subject to university and regulatory norms.

Pune and Pimpri–Chinchwad have multiple colleges offering B.Sc. AI and Data Science. While choosing a college, students should evaluate curriculum quality, faculty expertise, lab facilities, and industry exposure. Indira University’s School of Information Technology is recognized for its industry-aligned approach and infrastructure.

Built for Your Dreams,
Designed for Your Journey