About the course
BE/BTech in Artificial Intelligence (AI) and Data Science is a cutting-edge program that blends computer science, mathematics, and statistics to design intelligent systems and analyze complex datasets. Students learn core concepts of machine learning, deep learning, and big data analytics to create innovative solutions. The program emphasizes programming languages like Python, R, and Java, along with tools like TensorFlow and Hadoop. It equips students with skills to solve real-world problems in industries such as healthcare, finance, and automation. With a strong focus on practical learning, it includes projects, internships, and case studies.
Graduates of AI and Data Science are in high demand across sectors like IT, e-commerce, and robotics. They can pursue roles such as Data Scientist, AI Engineer, Machine Learning Specialist, and Business Analyst. The program also prepares students for emerging fields like autonomous systems, natural language processing, and predictive analytics. It offers lucrative career prospects, with average salaries often exceeding industry norms. This interdisciplinary field is ideal for those passionate about harnessing technology to drive innovation and transform industries.
Eligibility
- Candidates must have completed 10+2 with Physics, Chemistry, and Mathematics from a recognized board.
- A minimum aggregate of 50% to 60% in the qualifying examination (varies by institution).
- Candidates must qualify entrance exams like JEE Main, JEE Advanced, or institute-specific exams.
Why to study BE/B.Tech in Artificial Intelligence and Data Science
- AI and Data Science professionals are in high demand across various industries.
- Offers high-paying job roles like Data Scientist, AI Engineer, and Machine Learning Specialist.
- Allows you to work on innovative projects that impact technology, healthcare, and other sectors.
- Combines computer science, mathematics, and engineering to solve complex real-world problems.
- Opens doors to global career prospects as AI and Data Science are key technologies worldwide.
- Prepares you with skills that are essential for future technologies like automation, robotics, and AI-driven systems.
Scope of BE/B.Tech in Artificial Intelligence and Data Science
- AI and Data Science are key drivers in sectors like healthcare, finance, and automation.
- Opens up roles such as Data Scientist, AI Researcher, and Machine Learning Engineer.
- AI and Data Science skills are in demand worldwide, offering international career prospects.
- Facilitates advancements in automation, robotics, and predictive analytics.
- AI and Data Science are transforming industries like e-commerce, transportation, and energy.
- Graduates typically enjoy competitive salaries due to the specialized skill set.
Top 10 colleges in India
| RANK | NAME OF THE COLLEGE | AVG PACKAGE | NO OF SEATS |
|---|---|---|---|
| 1 | Indian Institute of Technology (IITM), Madras | 21 LPA | 50 |
| 2 | Indian Institute of Technology (IITKGP), Kharagpur | 22 LPA | 50 |
| 3 | Indian Institute of Technology (IIT), Hyderabad | 21 LPA | 35 |
| 4 | Indian Institute of Technology (IIT), Roorkee | 18 LPA | 40 |
| 5 | National Institute of Technology (NIT), Surathkal | 15 LPLA | 40 |
| 6 | Indian Institute of Technology (IIT), Guwahati | 21 LPA | 40 |
| 7 | National Institute of Technology (NIT), Rourkela | 20 LPA | 45 |
| 8 | National Institute of Technology (NIT), Warangal | 12.5 LPA | 60 |
| 9 | Indian Institute of Technology (IIT), Gandhinagar | 16 LPA | 30 |
| 10 | Indian Institute of Technology (IIT), Ropar | 15 LPA | 20 |
Syllabus of the course
YEAR 1
| SEM 1 | SEM 2 |
|---|---|
| Physics | General Biology |
| Chemistry | Problem Solving by Programming |
| Fundamentals of Programming Languages | Computational Statistics |
| Basic Electronics and Electrical Engineering | Engineering Graphics and Design |
| Mathematics | Engineering Mechanics |
| Communication Skills | Project-Based Learning - I |
YEAR 2
| SEM 3 | SEM 4 |
|---|---|
| Data Structures and Algorithms | Foundations of Data Science |
| Software Engineering and Project Management | R Programming |
| Discrete Structure | Computer Networks |
| Database Management Systems | Artificial Intelligence |
| Project-Based Learning - I | Digital Logic Design and Processor Architecture |
| Universal Human Values | - |
YEAR 3
| SEM 5 | SEM 6 |
|---|---|
| Machine Learning | Deep Learning |
| Big Data Analytics | Advanced Databases |
| Web Technology | Machine Learning and Network Security |
| Design and Analysis of Algorithm | Information Retrieval |
| Elective I | Elective II |
| Skill Enhancement Course I | Skill Enhancement Course II |
YEAR 4
| SEM 7 | SEM 8 |
|---|---|
| Skill Enhancement Course III | Skill Enhancement Course IV |
| Project I/Internship | Project II/Internship |
ELECTIVE PAPERS
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
- Big Data Analytics
- Data Mining
- Reinforcement Learning
- Cloud Computing
Fees Structure
| TYPE OF QUOTA | AVERAGE FEES PER YEAR |
|---|---|
| Government Quota | ₹50,000 to ₹1,50,000 |
| Management Quota | ₹1,00,000 to ₹3,00,000 |
Job Roles
- Data Scientist: Analyzes large datasets to extract actionable insights and solve complex problems.
- AI Engineer: Develops algorithms and models for building intelligent systems and applications.
- Machine Learning Engineer: Designs and implements machine learning models to automate decision-making processes.
- Data Analyst: Interprets data and generates reports to support business decisions and strategies.
- Business Intelligence Analyst: Uses data analysis tools to help organizations improve business processes and performance.
- Deep Learning Engineer: Specializes in building and training neural networks for tasks like image recognition and natural language processing.
- Data Engineer: Develops systems and infrastructure to collect, store, and process large volumes of data efficiently.
- AI Researcher: Conducts research in artificial intelligence and machine learning to advance technologies and methodologies.
Education after Artificial Intelligence and Data Science
- M.Tech in Artificial Intelligence: Advanced specialization in AI, machine learning, and deep learning techniques.
- M.Tech in Data Science: Focuses on big data analytics, data mining, and statistical methods to analyze large datasets.
- MBA in Technology Management: Combines business administration with the technical knowledge of AI and Data Science for leadership roles.
- M.Sc. in Data Analytics: Provides in-depth knowledge in data analysis, predictive modeling, and business intelligence.
- Postgraduate Diploma in Artificial Intelligence: Short-term course that covers essential AI technologies and their applications.
- Ph.D. in Artificial Intelligence/Data Science: Research-oriented program focusing on the development and advancement of AI and data science technologies.
Salary for B.Tech Artificial Intelligence and Data Science
| Designations | Average Annual Salary (INR) |
|---|---|
| Data Scientist | 4.1 Lakhs |
| Machine Learning Engineer | 6 Lakhs |
| AI Engineer | 7 Lakhs |
| Data Analyst | 5 Lakhs |
| Business Intelligence Analyst | 6 Lakhs |
| Deep Learning Engineer | 8 Lakhs |