The BS. / BSc. in Applied Artificial Intelligence and Data Science is a cutting-edge undergraduate programme offered by IIT Jodhpur in collaboration with Futurense.uni. Designed for the next generation of technology professionals, this programme provides a rigorous blend of theoretical foundations and hands-on industry practice in AI, machine learning, and data science.

In an era where Artificial Intelligence is reshaping every sector — from healthcare and finance to manufacturing and creative industries — this programme equips students with the competencies needed to design, build, and deploy AI-driven solutions. Graduates will be industry-ready for new-age, tech-driven roles and also positioned for advanced academic pathways.

The programme adopts a Stackable Degree Model, allowing students to pursue a 3-year BSc. or extend for an additional year to earn a 4-year BS. degree, offering flexibility to align academic goals with career ambitions.

The BS. /BSc. in Applied AI and Data Science programme is designed to build a strong foundation in Artificial Intelligence, Data Science, Mathematics, Statistics, and Computing while equipping learners with practical skills in modern AI technologies and industry-relevant tools. The programme aims to develop analytical thinking, problem-solving, and innovation capabilities, enabling students to design and deploy AI-driven solutions for real-world challenges. Through a blend of academic rigor, hands-on learning, industry engagement, and project-based experiences, the programme prepares graduates for emerging technology careers, higher education, research opportunities, and lifelong learning in the rapidly evolving field of Artificial Intelligence.

• Orientation Date 27th August, 2026
• Batch Start Date: 1st Week of September
• Duration: 4 year
• 160 academic credits post successful completion of the program
• IIT Jodhpur Alumni Status post successful completion of the BS program
• Campus Immersion is a unique element of the program, which is non mandatory. It offers learners an optional opportunity to visit IIT Jodhpur campus for 3-5 days each academic year based on the operational feasibility of IIT Jodhpur.
• 300+ Hours of Overall Learning Experience
• Multiple hours of online lab exercises and project work
• Masterclasses by Industry Experts & top tech leaders discussing real-world problems and approaches

• Build a strong foundation in Mathematics, Statistics, Programming, Artificial Intelligence, and Data Science.
• Apply machine learning, deep learning, computer vision, and generative AI techniques to solve real-world problems.
• Develop and deploy AI-powered applications using industry-standard tools, frameworks, and cloud platforms.
• Analyse, visualize, and derive insights from large-scale datasets for business and societal impact.
• Design end-to-end AI solutions, from data collection and model development to deployment and monitoring.
• Create a professional portfolio comprising projects, GitHub repositories, capstones, and real-world implementations.
• Demonstrate industry readiness through practical exposure to 100+ AI tools, case studies, and hands-on labs.
• Pursue advanced academic pathways, research opportunities, and higher studies in AI and Data Science.

The programme follows a Stackable Degree Model, enabling students to exit with a Certificate, Diploma, BSc., or continue to earn a BS. degree.

Year 1 – Certificate Level

Outcome: Apply AI-powered productivity tools and foundational analytics techniques.

Semester 1

• Linear Algebra and Numerical Analysis
• Foundations of Statistics and Probability
• Algorithmic Thinking and Its Applications
• Basics of Data Analytics

Semester 2

• Numerical Optimization
• Foundations of AI
• Visualization and Storytelling with Data
• Pattern Recognition Principles

Hands-on Labs

• Exploratory Data Analysis using Pandas
• Dashboard Development with Power BI/Tableau
• AI-assisted reporting and automation

Project

• AI-Powered Office Assistant

---

Year 2 – Diploma Level

Outcome: Apply machine learning and data tools to business and technology problems.

Semester 3

• Introduction to Databases
• Machine Learning I
• Programming for Data Science
• Operating Systems

Semester 4

• Basics of Data Mining
• Machine Learning II
• Object-Oriented Programming
• Introduction to Web Technologies

Hands-on Labs

• SQL-based analytics
• Machine learning model development
• REST API development with Flask/FastAPI

Project

• Customer Segmentation Dashboard with Live Web Interface

---

Year 3 – BSc. Degree

Outcome: Integrate AI and ML solutions into real-world business and industry contexts.

Semester 5

• Deep Learning
• Foundations of Data Engineering
• Image Processing
• Algorithms

Semester 6

• Computer Vision
• Introduction to Robotics
• Advanced AI
• Distributed Computing

Hands-on Labs

• CNN-based image classification
• Apache Spark data pipelines
• Cloud deployment on AWS/GCP

Project

• Retail Visual Inspection System (Computer Vision Application)

---

Year 4 – BS. Degree

Outcome: Advanced research capability and preparation for higher studies.

Track 1: Applied AI (Product & Engineering Focus)

• Software Engineering
• Machine Learning with Big Data
• Natural Language Understanding
• Foundation Models
• Live Industry Project & Applied Capstone

Target Roles

• AI Application Engineer
• Applied Generative AI Engineer
• AI Product Specialist

Track 2: Research (MS/PhD Focus)

• Natural Language Understanding
• Probability & Computational Statistics
• Bachelor Thesis Project I & II
• Optimization for Machine Learning
• Foundation Models

6. Campus Immersion

---

7. Criteria of Eligibility

---

8. Programme Fee

---