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 -
- The program combines aspects of computer science, mathematics, statistics, machine learning, data analysis, and domain expertise to provide a holistic education in AI and data science.
- The curriculum covers fundamental AI concepts such as machine learning algorithms, neural networks, natural language processing, computer vision, and data preprocessing techniques.
- Students learn how to collect, clean, preprocess, and analyze data from various sources, which is essential for deriving meaningful insights and building accurate models.
- The program addresses ethical considerations related to AI and data science, including privacy concerns, bias in algorithms, and responsible AI development.
- Hands-on projects and case studies help students apply theoretical concepts to practical scenarios, enhancing their problem-solving skills and critical thinking abilities.
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
- The students must have passed the 10+2/PUC/equivalent examination from a recognized board or university with Physics, Maths, and Chemistry as mandatory subjects and secured 50% aggregate marks (45% for SC/ST/OBC).
- The student should be 17 years of age by Admission Year.
- The Students must have qualified in any one entrance exam: JEE/CET/COMEDK/ WBJEE/UPSEE.
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
- The JEE Main exam is conducted by the National Testing Agency (NTA) in an online mode with a duration of 3 hours.
- The JEE Advanced (IIT JEE) exam is conducted by the Indian Institute of Technology in an online mode with a duration of 3 Hours
- Karnataka Examination Authority (KEA) conducts the KCET exam in an offline mode in a duration of 1 hour 20 mins.
- The WBJEE exam is conducted by the West Bengal joint Entrance Exam in offline mode with a duration of 2 Hours
- The Maharashtra Government Conducts the MHT - CET exam in Offline mode with a time limit of 1 Hour 30 Mins
- GUJCET is conducted by the Gujarat Secondary and Higher Secondary Education Board in offline mode with the time duration of 3 hours
- The Consortium of Medical, Engineering & Dental college is the conducting agency of COMED - K exam.
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:
- Data Scientist
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Artificial Intelligence Engineer
- Data Analyst
- Big Data Engineer
- Computer Vision Engineer
- Robotics Engineer
- Research Scientist
- Data Architect
Top Recruiting Companies:
- Samsung
- Wipro
- Intel
- Havells India Ltd
- Cisco
- Bharat Heavy Electrical Ltd
- Tata Teleservices
- Crompton Greaves
- Siemens
- Accenture
- Schneider Electric
- Broadcom
- Alstom
- Micromax
- Texas Instruments
- Aircel
- ISRO
- Dell India
- DRDO
- Reliance
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:
- Freelance Data Scientist/Consultant
- AI and Data Science Trainer
- AI-Based Product Development
- Niche AI Services
- Data Analysis Services
- Custom AI Solutions
- AI-driven Automation
- AI-driven Content Creation
- Predictive Analytics Services
- AI-driven Personalization Services
- AI-driven App Development
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
- Alliance University, Bangalore
- CMR University, Bangalore
- Reva University, Bangalore
- RV University
- SGT University, Noida
- Bennett University, Greater Noida
- SPS University, Udaipur
- NIU, New Delhi
- K.R. Mangalam University
- MSRIT
- CMRIT
- BMSCE
- BMSIT&M
- R V College of Engineering
- Atria
- Dayananda Sagar College of Engineering
- RVIT
ANDDATASCIENCE.png){kind=avatar}
.png){kind=avatar}
.png){kind=avatar}
