Saurav Anand
Table of Contents
B.Tech Computer Science & Engineering (AI) Introduction
B.Tech Computer Science & Engineering (Artificial Intelligence) is a four-year undergraduate degree program that focuses on the study of computer systems and artificial intelligence. It is a specialized course integrating computer science and engineering principles with artificial intelligence techniques to develop intelligent software systems and machines.
The B.Tech in Computer Science & Engineering (AI) course curriculum includes programming languages, data structures, algorithms, computer organization, software engineering, database systems, operating systems, and computer networks. In addition to these core subjects, students also study advanced topics in artificial intelligence such as machine learning, deep learning, natural language processing, computer vision, robotics, and cognitive computing.
During the course, students gain hands-on experience through laboratory sessions, projects, and internships, which helps them to develop practical skills in AI technologies. The B.Tech in Computer Science & Engineering (AI) program also focuses on enhancing students’ communication and analytical skills, as well as their ability to work in a team.
Upon completion of the B.Tech in Computer Science & Engineering (AI) program, graduates can pursue careers in various fields such as software development, data science, robotics, machine learning, natural language processing, computer vision, and artificial intelligence research. They can also opt for higher studies in the field of computer science and engineering.
What is B.Tech Computer Science Engineering?
B.Tech Computer Science Engineering (Artificial Intelligence) is a specialized undergraduate degree program that combines the principles of computer science and engineering with the concepts of artificial intelligence. The B.Tech in Computer Science & Engineering (AI) program focuses on training students to develop intelligent software systems and machines, which can perform tasks that require human-like intelligence.
The B.Tech in Computer Science & Engineering (AI) course curriculum covers a range of subjects including programming languages, data structures, algorithms, computer organization, software engineering, database systems, operating systems, and computer networks.
Additionally, students learn advanced topics in artificial intelligence such as machine learning, deep learning, natural language processing, computer vision, robotics, and cognitive computing.
The B.Tech in Computer Science & Engineering (AI) program also includes laboratory sessions, projects, and internships, which provide students with practical exposure to AI technologies. Through these activities, students develop practical skills in programming, data analysis, and machine learning algorithms.
Upon graduation, students can pursue various career paths such as software development, data science, machine learning, natural language processing, computer vision, robotics, and AI research. Graduates can also opt for higher studies in the field of computer science and engineering.
B.Tech Computer Science & Engineering (AI) Highlights
| Course Level | Undergraduate |
| Full From | B.Tech Computer Science & Engineering Artificial Intelligence |
| Duration | 4 years |
| Admission process | Entrance Exam or Merit-based |
| Eligibility criteria | Candidates should have completed 10+2 or equivalent with Physics, Mathematics, and Chemistry as compulsory subjects, with a minimum of 50% marks in aggregate |
| Average fees | Rs. 1 lakhs to 4 lakhs |
| Job opportunities | · Data Analytics· AI Engineer· Research scientist |
| Average Salary | Rs. 8 lakhs to 30 lakhs |
Here are some of the key highlights of the B.Tech Computer Science & Engineering (Artificial Intelligence) program:
1. Course Duration: The course duration is four years (eight semesters), and the program includes both theoretical and practical sessions.
2. Eligibility Criteria: Candidates must have completed 10+2 or equivalent with Physics, Mathematics, and Chemistry as compulsory subjects, with a minimum of 50% marks in aggregate. Some universities may also conduct an entrance exam for admission.
3. Course Curriculum: The curriculum includes core subjects such as programming languages, data structures, algorithms, computer organization, software engineering, database systems, operating systems, and computer networks. Additionally, the B.Tech in Computer Science & Engineering (AI) program covers advanced topics in artificial intelligence such as machine learning, deep learning, natural language processing, computer vision, robotics, and cognitive computing.
4. Practical Exposure: Students gain hands-on experience through laboratory sessions, projects, and internships, which help them to develop practical skills in AI technologies.
5. Career Opportunities: Graduates can pursue careers in various fields such as software development, data science, machine learning, natural language processing, computer vision, robotics, and AI research. They can also opt for higher studies in the field of computer science and engineering.
6. Scope of the Program: The program has a vast scope in today’s world, as AI is becoming an integral part of various industries such as healthcare, finance, retail, and more.
7. Job Opportunities: Some popular job roles for graduates include AI Engineer, Machine Learning Engineer, Data Scientist, NLP Engineer, Computer Vision Engineer, Robotics Engineer, and AI Researcher.
B.Tech Computer Science & Engineering (Artificial Intelligence) program is an excellent choice for those interested in developing intelligent software systems and machines using the latest AI technologies.
B.Tech Computer Science & Engineering (AI) Admission Process
The admission process for B.Tech Computer Science & Engineering (Artificial Intelligence) varies from one university to another. However, the general admission process is as follows:
- Eligibility: Candidates should have completed 10+2 or equivalent with Physics, Mathematics, and Chemistry as compulsory subjects, with a minimum of 50% marks in aggregate. Some universities may also require a minimum score in an entrance exam, such as JEE Main, BITSAT, or other university-specific entrance exams.
- Application Form: Candidates must fill out the application form online or offline, depending on the university’s requirements. The application form usually requires personal details, academic qualifications, and other relevant information.
- Entrance Exam: Some universities may conduct an entrance exam to shortlist candidates for admission. The entrance exam tests candidates’ knowledge of Physics, Mathematics, and Chemistry.
- Counseling: Shortlisted candidates are called for counseling, which involves a personal interview and document verification. The counseling process helps universities to evaluate candidates’ suitability for the program.
- Admission: Candidates who clear the counseling process are offered admission to the program. They must pay the admission fee and submit the required documents to secure their admission.
Some universities may also have additional criteria for admission, such as work experience or extracurricular activities. Therefore, candidates are advised to check the university’s website or prospectus for specific details on the admission process.
What are the eligibility criteria for pursuing B.Tech in Computer Science & Engineering (AI)?
The eligibility criteria for B.Tech in Computer Science & Engineering (AI) may vary depending on the university or college offering the program. However, here are some general eligibility criteria:
- Age limit: The candidate must have completed 17 years of age at the time of admission.
- Educational Qualification: The candidate must have completed their 10+2 education from a recognized board with Physics, Mathematics, and Chemistry/Biology/Computer Science as compulsory subjects.
- Minimum marks: The candidate must have scored a minimum of 50% aggregate marks (45% for SC/ST candidates) in their 10+2 education.
- Entrance exam: Most universities/colleges require candidates to clear an entrance exam such as JEE Main, BITSAT, or any state-level engineering entrance exam to be eligible for admission.
- Other criteria: Some universities/colleges may also consider factors such as extracurricular activities, work experience, and performance in interviews while shortlisting candidates.
It is important to note that the eligibility criteria may vary from institute to institute. Candidates are advised to check the specific requirements of the college or university they wish to apply to.
B.Tech Computer Science & Engineering (AI) Syllabus/Semester Wise
The university or college that offers the B.Tech. in Computer Science & Engineering (AI) program may have a different curriculum. Nonetheless, the semester-by-semester syllabus is summarised as follows:
Semester 1:
- Mathematics I
- Physics
- Chemistry
- Introduction to Programming
- Communication Skills
Semester 2:
- Mathematics II
- Programming with Python
- Digital Logic Design
- Engineering Graphics
- Environmental Science
Semester 3:
- Mathematics III
- Data Structures and Algorithms
- Computer Organisation and Architecture
- Database Management Systems
- Object-Oriented Programming using C++
Semester 4:
- Probability and Statistics
- Operating Systems
- Computer Networks
- Software Engineering
- Artificial Intelligence Fundamentals
Semester 5:
- Design and Analysis of Algorithms
- Compiler Design
- Web Technologies
- Cloud Computing
- Machine Learning
Semester 6:
- Natural Language Processing
- Computer Vision
- Robotics and Automation
- Big Data Analytics
- Ethics and Values in Engineering
Semester 7:
- Deep Learning
- Neural Networks
- Reinforcement Learning
- Internet of Things
- Elective I
Semester 8:
- Capstone Project
- Elective II
- Elective III
- Elective IV
- Seminar
Note: The above semester-wise breakup is indicative only and may vary from institute to institute. Candidates are advised to check the specific curriculum of the college or university they wish to apply.
B.Tech Computer Science & Engineering (AI) Top Colleges in India
Here are some of the top colleges in India offering B.Tech Computer Science & Engineering (AI) along with their fees structure per year:
| Colleges | Located | Average fee Per year |
|---|---|---|
| Indian Institute of Technology (IIT) | Madras | Rs. 2.2 lakhs |
| Vellore Institute of Technology | Vellore | Rs. 1.98 lakhs |
| Birla Institute of Technology and Science | Pilani | Rs. 4.23 lakhs |
| Indian Institute of Technology (IIT) | Hyderabad | Rs. 2.2 lakhs |
| Indian Institute of Information Technology (IIIT) | Allabhad | Rs. 1.5 lakhs |
| Indian Institute of Technology (IIT) | Delhi | Rs. 2.2 lakhs |
| Delhi Technological University | Delhi | Rs. 1.62 lakhs |
| Indian Institute of Technology (IIT) | Kanpur | Rs. 2.2 lakhs |
| Indian Institute of Technology (IIT) | Bombay | Rs. 2.2 lakhs |
B.Tech Computer Science & Engineering (AI) Job Opportunities
B.Tech in Computer Science & Engineering (AI) is a specialized program that equips students with the knowledge and skills required to design and develop intelligent systems. Graduates with this degree have various job opportunities available to them in various sectors. Here are some of the job opportunities available to B.Tech in Computer Science & Engineering (AI) graduates:
- AI Engineer: An AI Engineer designs, develops, and maintains intelligent systems such as chatbots, voice assistants, and predictive analytics software.
- Data Scientist: A Data Scientist analyses and interprets complex data using statistical and machine-learning techniques to solve business problems.
- Machine Learning Engineer: A Machine Learning Engineer designs, develops, and deploys machine learning algorithms to solve business problems.
- Robotics Engineer: A Robotics Engineer designs and develops intelligent robots that can perform tasks autonomously.
- Software Developer: A Software Developer writes code and develops software applications that use AI and machine learning algorithms.
- Research Scientist: A Research Scientist conducts research in AI and machine learning and develops new algorithms and technologies.
- Business Analyst: A Business Analyst analyses business data and uses AI and machine learning techniques to improve business processes and decision-making.
- Cybersecurity Analyst: A Cybersecurity Analyst uses AI and machine learning techniques to detect and prevent cyber-attacks.
- Technical Sales Engineer: A Technical Sales Engineer sells AI and machine learning products and services to customers.
- AI Consultant: An AI Consultant advises companies on how to use AI and machine learning to solve business problems.
B.Tech in Computer Science & Engineering (AI) graduates have a wide range of job opportunities available to them in various sectors, including technology, healthcare, finance, manufacturing, and transportation.
B.Tech Computer Science & Engineering (AI) Salary
The salary of a B.Tech in Computer Science & Engineering (AI) graduate can vary depending on several factors, such as the company they work for, their job profile, work experience, location, and skills. However, graduates with this degree are in high demand and can command attractive salaries in various sectors. Here are some estimated salary ranges for different job profiles:
1. AI Engineer: The average salary for an AI Engineer in India ranges from INR 5 lakh to 20 lakhs per annum.
2. Data Scientist: The average salary for a Data Scientist in India ranges from INR 6 lakh to 25 lakhs per annum.
3. Machine Learning Engineer: The average salary for a Machine Learning Engineer in India ranges from INR 6 lakh to 20 lakhs per annum.
4. Robotics Engineer: The average salary for a Robotics Engineer in India ranges from INR 4 lakh to 15 lakhs per annum.
5. Software Developer: The average salary for a Software Developer in India ranges from INR 3 lakh to 12 lakhs per annum.
6. Research Scientist: The average salary for a Research Scientist in India ranges from INR 6 lakh to 25 lakhs per annum.
7. Business Analyst: The average salary for a Business Analyst in India ranges from INR 4 lakh to 15 lakhs per annum.
8. Cybersecurity Analyst: The average salary for a Cybersecurity Analyst in India ranges from INR 4 lakh to 20 lakhs per annum.
9. Technical Sales Engineer: The average salary for a Technical Sales Engineer in India ranges from INR 6 lakh to 20 lakhs per annum.
10. AI Consultant: The average salary for an AI Consultant in India ranges from INR 8 lakh to 30 lakhs per annum.
It is important to note that the above salary ranges are indicative only and may vary based on the individual’s job profile, company, location, and other factors.
B.Tech Computer Science & Engineering (AI) Scope
There are several reasons why pursuing B.Tech in Computer Science & Engineering (AI) can be a great career choice for students. Here are some reasons to consider:
1. High Demand: AI is one of the fastest-growing fields in the technology industry. With advancements in AI, many industries are looking to hire AI professionals to improve their products and services.
2. Wide Range of Job Opportunities: Graduates with a B.Tech in Computer Science & Engineering (AI) have a wide range of job opportunities available to them, including AI Engineer, Data Scientist, Machine Learning Engineer, Robotics Engineer, and more.
3. Lucrative Salaries: AI professionals are in high demand and can command attractive salaries. According to recent reports, AI and machine learning professionals are among the highest-paid technology professionals.
4. Challenging and Innovative Work: AI involves working on challenging and innovative projects that require creativity, problem-solving skills, and critical thinking. As AI technology advances, there will be new and exciting projects that require AI professionals to push the boundaries of what’s possible.
5. Opportunities for Research: AI is a rapidly evolving field, and there are many opportunities for research and development. Students who pursue B.Tech in Computer Science & Engineering (AI) can work on cutting-edge research projects that contribute to the advancement of AI.
6. Contribution to Society: AI has the potential to solve many of the world’s problems, such as healthcare, climate change, and poverty. Pursuing a career in AI can allow individuals to contribute to society and make a positive impact on the world.
Pursuing B.Tech in Computer Science & Engineering (AI) can be a rewarding and exciting career choice for students interested in technology and innovation.
B.Tech. in Computer Science and Engineering (AI) Career Options
After completing a B.Tech in Computer Science & Engineering (AI), there are several options available to graduates. Here are some possible paths to consider:
1. Pursue a Master’s Degree: Pursuing a master’s degree in AI or a related field can provide advanced knowledge and skills in AI. A Master’s degree can help graduates to specialize in their area of interest and improve their career prospects.
2. Work in the Industry: Graduates can choose to work in various industries, including healthcare, finance, education, and retail. There is a high demand for AI professionals in the industry, and graduates can expect to work on innovative projects that contribute to the advancement of AI.
3. Work in the Public Sector: Graduates can also choose to work in the public sector, including government agencies, research institutions, and universities. Public sector jobs can involve working on research projects that contribute to the advancement of AI and solve real-world problems.
4. Pursue a Ph.D.: For those interested in academic research, pursuing a Ph.D. in AI can be a great option. A Ph.D. can provide advanced research skills and knowledge, and graduates can work on cutting-edge research projects that contribute to the advancement of AI.
5. Start a Business: Graduates can also choose to start their own AI-based business. Starting a business can be challenging, but it can also be a rewarding career path for those who are passionate about entrepreneurship and AI.
6. Pursue Certification: Graduates can choose to pursue certification in AI, such as the NVIDIA Deep Learning Institute (DLI) certification, which can provide advanced skills in AI and improve career prospects.
7. Attend Workshops and Conferences: Attending workshops and conferences in AI can allow graduates to learn about the latest developments in AI and network with other AI professionals.
there are several paths that graduates can choose to follow after completing a B.Tech in Computer Science & Engineering (AI). Pursuing a master’s degree, working in the industry or public sector, pursuing a Ph.D., starting a business, pursuing certification, and attending workshops and conferences are all viable options. Graduates should consider their interests, strengths, and career goals when deciding on their path forward.
B.Tech Computer Science & Engineering (AI) Conclusion
B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence is a highly sought-after program that equips students with the skills and knowledge required to develop intelligent machines and algorithms that can solve complex problems. The B.Tech Computer Science & Engineering (AI) program provides a comprehensive understanding of AI technologies, including machine learning, natural language processing, robotics, and computer vision.
As technology continues to advance, AI has become increasingly important in every industry, including healthcare, finance, retail, and manufacturing. This has created a growing demand for AI professionals, making B. Tech in Computer Science and Engineering (AI) is an excellent choice for students looking for a career in this field.
During the B.Tech Computer Science & Engineering (AI) program, students learn about the theoretical foundations of AI, including mathematical modeling, probability theory, statistics, and optimization. They also learn about various programming languages and tools used in AI development, such as Python, R, TensorFlow, Karas, and PyTorch.
In addition to technical skills, students also develop critical thinking, problem-solving, and communication skills, which are essential for success in the field. The B.Tech Computer Science & Engineering (AI) program includes projects, case studies, and internships, providing students with hands-on experience in developing AI applications.
Upon completion of the B.Tech Computer Science & Engineering (AI) program, graduates can pursue a variety of career paths, such as machine learning engineer, data science, AI research, and software development. The demand for AI professionals is expected to continue to grow, making this an excellent time to pursue a career in this field.
Frequently Asked Questions about B.Tech Computer Science & Engineering (AI)
Q. What is B.Tech Computer Science & Engineering (AI)?
Ans. B.Tech Computer Science & Engineering (AI) is a four-year undergraduate program that combines the principles of computer science and engineering with artificial intelligence. It covers machine learning, natural language processing, robotics, and computer vision.
Q. What are the eligibility criteria for B.Tech Computer Science & Engineering (AI)?
Ans. The eligibility criteria for B.Tech Computer Science & Engineering (AI) may vary depending on the university or college offering the program. Generally, candidates must have completed their 10+2 education in the science stream with Physics, Chemistry, and Mathematics as core subjects. They must also have a minimum aggregate score of 50% in their qualifying examination.
Q. What are the career opportunities after completing B.Tech in Computer Science & Engineering (AI)?
Ans. Graduates of B.Tech Computer Science & Engineering (AI) can pursue careers in various fields such as data science, machine learning engineering, software development, robotics engineering, and natural language processing. They can work in industries such as healthcare, finance, e-commerce, and entertainment.
Q. What skills are required to pursue B.Tech in Computer Science & Engineering (AI)?
Ans. To pursue B.Tech in Computer Science & Engineering (AI), candidates should have a strong foundation in mathematics and programming languages such as Python and Java. They should also possess analytical skills, problem-solving skills, and an aptitude for learning new technologies.
Q. What is the course curriculum for B.Tech Computer Science & Engineering (AI)?
Ans. The course curriculum for B.Tech Computer Science & Engineering (AI) may vary depending on the university or college offering the program. Generally, it covers topics such as programming fundamentals, data structures, and algorithms, database management systems, computer networks, artificial intelligence, machine learning, natural language processing, robotics, and computer vision.
Q. What is the difference between B.Tech Computer Science and B.Tech Computer Science & Engineering (AI)?
Ans. B.Tech Computer Science focuses on the fundamentals of computer science such as programming, data structures, algorithms, and computer networks. On the other hand, B.Tech Computer Science & Engineering (AI) combines the principles of computer science and engineering with artificial intelligence. It covers machine learning, natural language processing, robotics, and computer vision.
Q. Are the top colleges in India offering B.Tech Computer Science & Engineering (AI)?
Ans. Some of the top colleges in India offering B.Tech Computer Science & Engineering (AI) are the Indian Institute of Technology (IIT) Hyderabad, Indian Institute of Information Technology (IIIT) Allahabad, Vellore Institute of Technology (VIT), and SRM Institute of Science and Technology.
Q. What is the duration of the B.Tech Computer Science & Engineering (AI) program?
Ans. The duration of the B.Tech Computer Science & Engineering (AI) program is four years.
Q. Is there any entrance exam for admission to B.Tech Computer Science & Engineering (AI)?
Ans. Yes, there are various entrance exams for admission to B.Tech Computer Science & Engineering (AI) such as JEE Main, JEE Advanced, BITSAT, VITEEE, SRMJEEE, and IIIT Hyderabad UGEE.
Q. What is the average salary for a graduate of B.Tech Computer Science & Engineering (AI)?
Ans. The average salary for a graduate of B.Tech Computer Science & Engineering (AI) may vary depending on their job role and experience. Generally, they can expect to earn anywhere between Rs. 4-10 lakhs per annum at entry-level positions.
