B.Tech in Artificial Intelligence and Data Science is a professional Undergraduate Degree program. This course deals with the core technologies like Artificial Intelligence, Data warehouse, Machine learning, Data mining, Product development, and Mathematical modeling. Through this program, students will gain knowledge and skills in areas like statistics, data scientists, machine learning, computer science, and logic. After completion of this course, graduates can pursue careers in various sectors such as IT, finance, healthcare, manufacturing, and e-commerce. Graduates can choose to work as Data scientists, data architects, and AI engineers among others.
Course Duration - The UG degree in Artificial Intelligence and Data Science is for 4 years from any university in the country for 10+2 students and is 3 years for Diploma graduates.
Salient Features -
Syllabus
The B.Tech Artificial Intelligence and Data Science curriculum spans over 8 semesters, each lasting for a duration of 6 months. The program is centered around essential concepts in Artificial Intelligence and Data Science, covered through subjects such as Data Structures & Algorithms, Software Engineering, Computer Networks, and more.
| B.Tech Artificial Intelligence (AI) and Data Science curriculum | |
| Semester I | Semester II |
| Multivariable Calculus and Linear Algebra | Probability and Statistics |
| Physics for Computer Science | Engineering Chemistry |
| Introduction to Data Science | Introduction to Python Programming |
| Programming for Problem-solving | Basics of Electrical and Electronics Engineering |
| Practical /Term Work / Practice Sessions/ MOOCs – Entrepreneurship, IoT and Applications, Computer-Aided Engineering Drawing | Basics of Civil and Mechanical Engineering |
| -- | Practical /Term Work / Practice Sessions/ MOOCs – Biology for Engineers, Design Thinking |
| Semester III | Semester IV |
| Analog and Digital Electronics | Design and Analysis of Algorithms |
| Programming in Java | Unix Operating System |
| Data Structures | Database Management System |
| Discrete Mathematics and Graph Theory | Computer Organization and Architecture |
| Agile Software Development and DevOps | Numerical Techniques and Optimization Methods |
| Practical /Term Work / Practice Sessions/ MOOCs – Communication Skills, Indian Constitution and Professional Ethics, Universal Human Values |
Practical /Term Work / Practice Sessions/ MOOCs – Management Science, Environmental Science, Basics of Kannada / Advanced Kannada |
| Semester V | Semester VI |
| Artificial Intelligence and Applications | Theory of Computation |
| Neural Networks and Deep Learning | Big Data Analytics |
| Machine Learning | IoT and Cloud |
| Professional Elective-I – Web and Text Mining, Pattern Recognition, Security in IoT, Advanced IoT Programming, Object Oriented Concepts with C++/Java, UI/UX Design, and Data Visualization | Professional Elective I – Cognitive Computing, Business Intelligence, Industrial and Medical IoT, Industrial and Medical IoT, Advanced Computer Architecture, Parallel Computing, and High-Performance Computing |
| Open Elective – I Database Management Systems | Open Elective II – Data Structures |
| Practical /Term Work / Practice Sessions/ MOOCs – Predictive Analytics and Data Visualization Tools, Indian Tradition and Culture | Practical /Term Work / Practice Sessions/ MOOCs – Research-Based Mini Project, Mobile Application Development, Technical Documentation |
| Semester VII | Semester VIII |
| Professional Elective V | Capstone Project Phase 2 |
| Open Elective III | Internship/Global Certification |
| Capstone Project Phase 1 | MOOC / Competitive Exam |
| Internship/Global Certification | Open Elective IV |
Eligibility Criteria
Admission Process
Admissions to the B.E/B. Tech programs are determined by the rankings in the National Entrance Examination (JEE) or State-level Entrance Exams like KCET, as well as direct University Entrance exams, among others. Notably, prestigious colleges also give weight to scores from the Joint Entrance Examination (JEE). Those aspiring to secure admission to esteemed institutions like IITs and NITs must excel in both JEE Mains and JEE Advanced.
Entrance Exams for Admission to B.E/B. Tech AI & DS
To pursue a Bachelor's degree in Artificial Intelligence and Data Science. Students must take
National Entrance Examination (JEE) or State-level Entrance Exams like KCET, MHT CET, WBJEE, or COMED-K as well as University Entrance exams. These examinations serve as crucial gateways for aspiring students aiming to gain admission to reputable institutions.
Here are the details of the Top Entrance Exams for Engineering
1. Employment Opportunities -
Obtaining a Bachelor of Technology (B.Tech) degree specializing in Artificial Intelligence (AI) and Data Science unveils a multitude of promising career avenues that span across diverse industries actively harnessing the power of AI and data-driven solutions. This academic achievement equips the graduates with a comprehensive skill set that aligns perfectly with the growing demand for professionals adept at navigating the intricacies of advanced technologies.
Trending Career Profiles:
Top Recruiting Companies:
2. Venture into Entrepreneurship - Completing a B.Tech in Artificial Intelligence (AI) and Data Science provides you with a solid foundation in cutting-edge technologies that can enable you to explore various self-employment opportunities. Leveraging your expertise in AI and Data Science, you can establish your own business or offer specialized services as a freelance professional. Here are some self-employment avenues to consider:
3. Higher Studies & Skill Enhancements -
After completing a B.Tech in Artificial Intelligence (AI) and Data Science, you have a wide range of higher study opportunities to consider. These opportunities can help you specialize further in your field, develop advanced skills, and enhance your career prospects. Here are some higher study options you might consider:
Master's in Artificial Intelligence
Master's in Data Science
Master's in Machine Learning
Master's in Computer Science (with a specialization in AI or Data Science)
Master's in Big Data Analytics
Ph.D. in Artificial Intelligence
Ph.D. in Data Science
Ph.D. in Computer Science (with a specialization in AI or Data Science)
Top Engineering Colleges PAN-INDIA
Discover your perfect program in our courses.
B.Tech in AI and Data Science is an undergraduate engineering program that focuses on teaching students the fundamentals of artificial intelligence, machine learning, data analysis, and related technologies. It aims to equip students with the skills needed to develop and apply AI and data-driven solutions.
Graduates can pursue roles such as data scientist, machine learning engineer, AI engineer, data analyst, research scientist, business analyst, AI consultant, and more in various industries like technology, finance, healthcare, and e-commerce.
While some prior programming knowledge can be helpful, many B. Tech programs in AI and Data Science provide foundational programming courses to help students learn. However, a genuine interest in technology and data analysis is important.
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