Artificial Intelligence and Data Science are changing the way the world works-from businesses to healthcare. In this growing need for professionals, the IIT Jodhpur has introduced something unique by launching a B.Sc / B.S in Applied AI and Data Science program. Pursue high-quality skills in AI and data science while getting a degree from IIT, all without having to clear the JEE exam? Want to know how this program can open doors to exciting careers? Let’s dive in!
Why Study AI and Data Science?
AI and data science are rapidly growing fields. In fact, the AI market is expected to be worth $267 billion by 2027. Many industries are adopting AI to improve efficiency and accuracy, opening up exciting job opportunities.
Quick Stats
- 75% of businesses could fall behind if they don’t adopt AI (McKinsey).
- AI is already reducing costs in healthcare by 30% and cutting diagnostic errors by 50%.
Learning AI and data science today will ensure you’re prepared for the future job market.
Program Overview
The B.Sc / B.S in Applied AI and Data Science at IIT Jodhpur, in collaboration with Futurense Uni, offers flexibility, a world-class curriculum, and a direct pathway to prestigious master’s programs—all without the need to clear traditional entrance exams like JEE.
Key Highlights:
| Feature | Details |
|---|---|
| Degree Options | Certification (Year 1), Diploma (Year 2), B.Sc (Year 3), B.S (Year 4) |
| Flexible Learning | Online lectures with live weekend sessions and an annual on-campus immersion |
| No JEE Required | Admission based on a qualifying test, application form, and offer letter |
| Industry-Relevant Curriculum | Learn from top IIT faculty and industry leaders with practical, hands-on learning |
| Direct Pathway to Master’s | Admission to master’s programs at IIT Jodhpur and top U.S. universities without exams |
Who Can Apply?
The course is open to all age groups. As long as one meets the eligibility criteria and requirements, whether coming fresh from school or already in employment, one can join this course.
Eligibility Criteria:
| Category | Requirements |
|---|---|
| 12th Pass-Outs | Minimum 60% in +2 Board exams (with Mathematics as a subject) |
| Dual Degree Aspirants | Pursue this alongside another degree |
| Working Professionals | Ideal for those wanting to upskill and pivot into AI or data science |
Unique Features and Benefits of the Course
1. Flexible, Stackable Degree Structure
The program allows you to earn credentials step by step. You can choose to exit the program after any year and still receive a recognized qualification.
| Year | Qualification Earned |
|---|---|
| 1 | Certification in AI and Data Science |
| 2 | Diploma in AI and Data Science |
| 3 | B.Sc Degree in Applied AI and Data Science |
| 4 | Optional B.S Degree (Bachelor of Science) |
This flexibility is ideal for both students and working professionals, giving you the chance to earn a degree that fits your timeline.
2. Blended Learning Model
The program combines online learning (with video lectures and quizzes) and live weekend sessions led by IIT faculty and industry experts. This means you can study at your own pace while still receiving guidance from experienced professionals.
Additionally, there is an annual on-campus immersion at IIT Jodhpur, where you’ll participate in hands-on learning and networking opportunities.
3. No JEE or JAM Required
Unlike traditional IIT programs that require students to clear entrance exams like JEE or JAM, this program has a simpler admission process:
- Pass a qualifying test.
- Submit a completed application form.
- Receive an offer letter from IIT Jodhpur.
This opens up opportunities for a wider group of students and professionals to earn an IIT degree.
4. Industry-Driven Curriculum
The curriculum is designed to meet current industry demands, making sure you learn the skills needed in the job market. You’ll also participate in masterclasses by leaders from top companies like Google, Meta, and Microsoft.
Courses range from foundational topics like Linear Algebra and Statistics to advanced topics like Generative AI, Machine Learning, and Natural Language Processing.
Curriculum Breakdown: A Year-by-Year Look
Let’s take a closer look at what you’ll learn throughout the four years.
Year 1: Foundations in AI and Data Science
| Course Names | Skills Developed | Job Roles (Outcome) |
|---|---|---|
| Linear Algebra and Numerical Analysis | Data Analysis, Problem Solving | AI-Powered Office Assistant |
| Foundations of Statistics and Probability | Statistical Modeling | Data and Research Analyst |
| Algorithmic Thinking and Applications | Programming, Problem Solving | Junior Business Analyst |
| Basics of Data Analytics | Data Visualization |
Outcome: After the first year, you will have a solid foundation in AI and data science. You can start working as a Junior Business Analyst or continue to Year 2.
Year 2: Advancing Your AI Skills
| Course Names | Skills Developed | Job Roles (Outcome) |
|---|---|---|
| Machine Learning | Machine Learning Algorithms, Data Modeling | Data Analyst |
| AI Programming | Programming in Python, AI Applications | Data Engineer |
| Pattern Recognition | Data Pattern Recognition, Predictive Modeling | Junior Data Scientist |
| Generative AI Tools | Generative AI, AI Applications |
Outcome: Upon completion of Year 2, you will be qualified for roles such as Data Analyst or Junior Data Scientist.
Year 3: Specialization in AI and Data Engineering
| Course Names | Skills Developed | Job Roles (Outcome) |
|---|---|---|
| Machine Learning Applications | Advanced AI, Data Engineering | Data Engineer |
| Basics of Data Mining | Data Extraction, Big Data | Data Scientist |
| Foundations of Data Engineering | Data Pipeline Building | AI Programmer |
| Tools for Data Science | Advanced Data Tools (e.g., TensorFlow) |
Outcome: After Year 3, students will earn their B.Sc Degree and be ready for specialized roles like Data Engineer or AI Programmer.
Year 4: Career Track Specializations
In the final year, students can choose between two career tracks:
- Applied AI Career Path
- Courses: Project Management, Software Engineering, Design Thinking, Capstone Project
- Job Roles: AI Application Engineer, Generative AI Engineer
- Computational Science Research Path
- Courses: Advanced Algorithms, Machine Learning, Thesis
- Job Roles: Research Scientist, AI Engineer
Career Opportunities After Graduation
Once you complete the IITJ’s B.Sc or B.S in Applied AI and Data Science, a wide range of career opportunities will open up for you.
1. Direct Pathway to Master’s Programs
- IIT Jodhpur: Transition seamlessly into M.Tech in Data Engineering without having to clear the GATE exam.
- Top U.S. Universities: You can also pursue a Master’s degree in AI or data science at over 50 esteemed U.S. universities, such as DePaul or Rutgers, benefiting from a 3-year OPT post-study work visa in the U.S.
2. Global Placement Assistance
- Futurense’s placement network connects students to top-tier companies, including Fortune 500 companies, startups, and unicorns.
3. Job Roles After Graduation
- Data Analyst
- AI Application Engineer
- NLP Specialist
- Generative AI Engineer
Fee Structure
One of the attractive aspects of this program is its affordability compared to other prestigious institutions offering similar courses.
| Fee Type | Amount |
|---|---|
| Program Fee (per year) | ₹99,000 |
| Application Fee | ₹10,000 (one-time, non-refundable) |
- [Note: Loan options are available, and immersion fees for campus visits are separate.]
Admission Process: How to Apply?
The admission process for this program is straightforward and designed to be accessible:
- Qualifying Test: Pass a basic eligibility test that evaluates your mathematical and analytical skills.
- Application: Fill out an online application form.
- Offer Letter: Receive an official offer letter from IIT Jodhpur.
Once admitted, you can start learning online and participate on campus in the immersion programs annually. For more, you can visit the official website here.
So, are you ready to kickstart your journey into the world of AI and Data Science with an IIT Jodhpur degree? Let us know in the comment section below!