B.Tech in Computer Science and Engineering (AI & ML)
Become an AI & Machine Learning Expert with B Tech CSE AI and ML in Tamil Nadu
- Hands-on Training
- Faculty with International Experience
- Advanced Curriculum
- Upto 100% Scholarship based on merit
About the Course
The B.Tech in Computer Science and Engineering (Artificial Intelligence & Machine Learning) at Takshashila University is designed for students who aspire to build successful careers in next-generation technologies. If you are looking for B Tech CSE AI and ML in Tamil Nadu, this programme combines a strong academic foundation with practical, industry-focused learning to prepare you for the future of intelligent computing.
Students gain in-depth knowledge of artificial intelligence, machine learning, deep learning, data science, natural language processing, computer vision, robotics, cloud computing, and intelligent systems. Through hands-on laboratory sessions, live projects, hackathons, internships, and industry interactions, students develop the skills needed to design, build, and deploy AI-powered applications that solve real-world challenges.
With experienced faculty, modern AI laboratories, research opportunities, and dedicated placement support, the programme prepares graduates for rewarding careers in Artificial Intelligence, Machine Learning, Data Science, Intelligent Automation, and other rapidly growing technology domains.
Why Choose B.Tech CSE AI & ML at Takshashila University?
Choosing the right engineering programme is the first step towards building a successful career in Artificial Intelligence and Machine Learning. While exploring CSE Artificial Intelligence and Machine Learning Colleges in Tamil Nadu, students should look for a curriculum that combines strong technical knowledge with practical experience and industry exposure. The Best CSE Artificial Intelligence and Machine Learning Colleges in Tamil Nadu prepare students to solve real-world problems using intelligent technologies.
When comparing the Best Colleges for CSE Artificial Intelligence and Machine Learning in Tamil Nadu, it is important to evaluate factors such as experienced faculty, AI laboratories, live industry projects, internships, coding competitions, and placement opportunities. At Takshashila University, students learn through project-based education, practical training, and industry interactions that help build confidence and technical expertise.
From the first year onwards, students work on AI models, machine learning applications, data analysis, and innovative software solutions while strengthening their programming and problem-solving skills. Dedicated placement training, soft skills development, and career guidance help students prepare for opportunities in leading technology companies.
Finding the Best CSE AI and ML College in Tamil Nadu means choosing a university that supports innovation, research, and career growth. Whether you aspire to become an AI Engineer, Machine Learning Engineer, Data Scientist, Robotics Engineer, NLP Engineer, or Cloud AI Specialist, Takshashila University provides the right environment to help you achieve your goals.
AI-Focused Curriculum
Takshashila University is recognised among the best AI and DS colleges in Tamil Nadu, offering an industry-aligned curriculum, modern infrastructure, and expert faculty to prepare students for future technology careers.
Hands-on Projects & AI Labs
Gain practical experience through AI laboratories, live projects, hackathons, internships, and real-world application development.
Industry Mentorship
Learn from experienced faculty and industry experts who provide technical guidance, research opportunities, and career mentoring.
Placement & Career Readiness
Build job-ready skills with coding practice, placement training, mock interviews, resume-building sessions, and recruitment opportunities.
Course Curriculum
Year 1
The first year lays the foundation in basic engineering principles, including mathematics, physics, and computer science fundamentals. You will also be introduced to programming languages and develop core skills in algorithms, data structures, and computer systems.
Key Subjects: Mathematics, Programming in C, Digital Logic Design, Introduction to Algorithms, Computer Organisation, Physics.
Year 2
The second year builds on core computer science concepts, with an emphasis on data structures, operating systems, and basic principles of AI. You will start working with machine learning algorithms, gaining a solid understanding of supervised and unsupervised learning techniques.
Key Subjects: Data Structures and Algorithms, Discrete Mathematics, Computer Networks, Machine Learning, Operating Systems, Object-Oriented Programming.
Year 3
The third year focuses on advanced machine learning techniques, including deep learning, neural networks, and natural language processing. You will also begin working on AI-based projects and gain industry exposure through internships.
Key Subjects: Deep Learning, Neural Networks, Natural Language Processing, Reinforcement Learning, Data Mining, Internship and Project Work.
Year 4
In the final year, the focus shifts to specialisation in AI and ML applications such as robotics, computer vision, and AI ethics. You will work on your major project, applying AI and ML theories to solve real-world problems.
Key Subjects: Robotics, Computer Vision, Advanced Machine Learning, AI Ethics, Cloud Computing, Major Project and Dissertation.
Programme Outcomes (POEs)
Upon completing the B.Tech in Computer Science and Engineering (AI & ML), you will have gained the following competencies:
AI and ML Expertise
You will have in-depth knowledge of artificial intelligence and machine learning algorithms, allowing you to design, develop, and implement AI-based solutions.
Hands-On Machine Learning Skills
You will gain practical experience with ML libraries and frameworks, such as TensorFlow, Keras, and Scikit-Learn, enabling you to work with real-world data and build intelligent systems.
Problem-Solving with AI Tools
You will develop the ability to solve complex problems using AI and ML tools, applying appropriate algorithms for various applications such as predictive modelling, image recognition, and recommendation systems.
Data-Driven Decision Making
You will acquire the skills to analyse and interpret large datasets using ML techniques, making data-driven decisions and insights for business and research applications.
Team Leadership in AI Projects
You will be trained to lead teams in developing AI and ML solutions, collaborating with other engineers, data scientists, and stakeholders to deliver high-quality products.
Ethical AI Development
You will understand the ethical considerations in AI development, ensuring that the AI solutions you design are fair, transparent, and aligned with societal needs.
Programme Outcomes (POs)
The B.Tech in Computer Science and Engineering (AI & ML) will help you achieve the following broader learning outcomes:
PO1: Strong Foundation in Computer Science and Engineering
You will gain a deep understanding of the fundamental principles of computer science and engineering, laying the groundwork for advanced studies in AI and ML.
PO2: Advanced AI and ML Skills
You will acquire comprehensive knowledge of machine learning, deep learning, and artificial intelligence techniques, enabling you to apply them to real-world problems.
PO3: Analytical and Computational Problem-Solving
You will develop analytical skills to approach complex computational problems and deliver effective AI solutions, ensuring accuracy and efficiency.
PO4: Communication and Collaboration
You will enhance your ability to communicate complex AI and ML concepts effectively, both orally and in writing, and collaborate in multidisciplinary teams to solve problems.
PO5: Practical Application of AI and ML
You will apply your AI and ML knowledge to real-world scenarios, working with large datasets and developing intelligent systems for various industries.
PSO1: Expertise in Machine Learning Algorithms
You will gain proficiency in both traditional and modern machine learning algorithms, applying them to solve problems such as regression, classification, and clustering.
Programme Specific Outcomes (PSOs)
Through this programme, you will develop the following specific competencies:
PSO1: Expertise in Communication Systems
You will gain a deep understanding of both analogue and digital communication systems, enabling you to design, implement, and optimise various communication technologies.
PSO2: Advanced Deep Learning Skills
You will become an expert in deep learning frameworks, understanding neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs) for complex AI tasks.
PSO3: Natural Language Processing (NLP)
You will acquire the knowledge and skills to work with NLP techniques, enabling you to build applications like chatbots, sentiment analysis systems, and text summarisation.
PSO4: AI Ethics and Responsible AI
You will understand the ethical implications of AI and machine learning, ensuring that the AI systems you develop are responsible and aligned with societal values.
PSO5: AI in Robotics and Computer Vision
You will gain expertise in applying AI and ML to robotics and computer vision, developing intelligent systems capable of visual perception and autonomous decision-making.
PSO6: Data-Driven AI Solutions
You will learn to use AI and ML to analyse big data, extracting valuable insights that drive innovation in industries like healthcare, finance, and e-commerce.
Career Scope
Graduates of the B.Tech in Computer Science and Engineering (Artificial Intelligence & Machine Learning) programme are equipped for exciting careers across technology-driven industries. Career opportunities include:
AI/ML Engineer
- Role: Develop and implement machine learning models for predictive analytics and data-driven decision-making.
- Salary: ₹6,00,000 to ₹12,00,000 per annum.
Data Scientist
- Role: Analyse large datasets, build ML models, and generate actionable insights for business and research applications.
- Salary: ₹7,00,000 to ₹14,00,000 per annum.
AI Researcher
- Role: Conduct research in AI and machine learning, contributing to new algorithms and technologies for academic or industrial applications.
- Salary: ₹8,00,000 to ₹15,00,000 per annum.
Robotics Engineer
- Role: Design and implement AI-driven robotics systems for various applications, including automation and autonomous vehicles.
- Salary: ₹6,00,000 to ₹11,00,000 per annum.
NLP Engineer
- Role: Specialise in building and deploying NLP applications such as chatbots, speech recognition, and text analysis.
- Salary: ₹5,50,000 to ₹10,00,000 per annum.
Why TAKSHASHILA?
Industry-Focused Curriculum
The B.Tech in Computer Science and Engineering (AI & ML) is designed to meet the growing demand for skilled professionals in AI and machine learning, ensuring that you graduate with the skills needed to excel in these fields.
Hands-On Learning
Through practical labs, real-world projects, and internships, you will apply your theoretical knowledge to develop AI and ML solutions that can solve industry-specific challenges.
Expert Faculty
Our faculty includes experts with years of experience in AI, ML, and related technologies, providing you with guidance and mentorship throughout your studies.
Global Career Opportunities
Takshashila University’s strong connections with global technology companies and research institutions open doors for you to pursue a successful career in AI and machine learning.
- Applicants must have completed their 10+2 or equivalent in Science with a minimum of 50% marks, including subjects like Physics, Chemistry, and Mathematics.
- Entrance exams or personal interviews may be required as part of the selection process.
For All Programmes except MBA, MCA, M.Tech, and Integrated Programmes offered by Sunstone, FacePrep, Kalvium and NxtWave
|
S.No |
% of Marks |
Scholarship Amount in Tuition Fees per year |
|
1 |
60% – 75% |
10% |
|
2 |
Above 75 % – 90 % |
25 % |
|
3 |
Above 90 % |
50 % |
Calculation of percentage of Marks (+2 of HSC / 2nd Year of APBIM or +2 of CBSE or Equivalent)
- Engineering – Average marks in Mathematics, Physics, Chemistry/Computer Science
- Lateral Entry – Average marks in Diploma Programme.
- Agriculture – Average marks in Physics, Chemistry, Biology / Botany &Zoology
- AHS / BPT / Pharmacy – Average marks in Physics, Chemistry, Biology / Botany &Zoology/Bio Tech
- UG – Arts & Science / Hotel Management – Overall +2 marks – (+2 of HSC / 2nd Year of APBIM or +2 of CBSE or Equivalent)
- PG – Overall % in UG
- Diploma – Average mark in 10th /Equivalent
MBA, MCA, M. Tech, and Integrated Programmes offered by Sunstone, FacePrep, Kalvium and NxtWave – No Academic Scholarship applicable.
Student Experience at Takshashila University
At Takshashila University, you will experience a world-class education in artificial intelligence and machine learning. Our hands-on learning environment, industry collaborations, and exposure to cutting-edge technologies ensure that you are well-prepared for the future.
What you can look forward to
Interactive Learning
Engage in practical sessions, workshops, and industry-linked projects, allowing you to apply theoretical knowledge in real-world scenarios.
Modern Campus Facilities
Experience state-of-the-art labs, research centres, and classrooms equipped with the latest technologies, all designed to enhance your hands-on learning experience.
Networking Opportunities
Connect with a diverse student body and industry professionals through guest lectures, industry events, and seminars. These interactions open doors to future collaborations and career prospects.
Active Student Life
Participate in clubs, hackathons, technical competitions, and industry events that encourage leadership, teamwork, and innovation, providing you with a well-rounded university experience.
Spread over 150 acres
At Takshashila University, you will have ample opportunities to hone your skills in real-world healthcare settings, utilising state-of-the-art medical facilities and simulation labs on our 150-acre campus.
Shape the Future with B Tech CSE AI and ML in Tamil Nadu – Apply Now
Frequently Asked Questions (FAQs)
1. What are the B Tech CSE AI and ML Admission in Tamil Nadu requirements?
The B Tech CSE AI and ML Admission in Tamil Nadu process generally requires students to complete Higher Secondary education with Physics, Chemistry, and Mathematics from a recognised board. Applicants must meet the university’s eligibility requirements and submit the required documents within the admission schedule.
2. What is the B Tech CSE AI and ML Eligibility Criteria Tamil Nadu?
The B Tech CSE AI and ML Eligibility Criteria Tamil Nadu generally includes passing Class 12 with Physics, Chemistry, and Mathematics. Students should satisfy the minimum academic requirements specified by the university before applying for the programme.
3. What are the B Tech CSE AI and ML Fees in Tamil Nadu?
B Tech CSE AI and ML Fees in Tamil Nadu vary depending on the university, infrastructure, laboratory facilities, and academic resources offered. Students should review the complete fee details before applying to understand the total cost of the programme.
4. What is the B Tech CSE AI and ML Fee Structure Tamil Nadu?
The B Tech CSE AI and ML Fee Structure Tamil Nadu generally includes tuition fees, laboratory charges, examination fees, library fees, and other academic expenses. Understanding the fee structure helps students and parents plan their education effectively.
5. Are B Tech CSE AI and ML Scholarships in Tamil Nadu available?
Yes. Many universities provide B Tech CSE AI and ML Scholarships in Tamil Nadu based on academic merit, government scholarship schemes, sports achievements, and other eligibility criteria. Scholarships help deserving students reduce educational expenses.
6. Which are the Top B Tech CSE AI and ML Colleges with Placement in Tamil Nadu?
The Top B Tech CSE AI and ML Colleges with Placement in Tamil Nadu focus on practical learning, AI projects, internships, placement training, and industry collaborations. Students benefit from career guidance and recruitment opportunities with leading technology companies.
7. Why should I choose B Tech CSE AI and ML in Tamil Nadu?
B Tech CSE AI and ML in Tamil Nadu offers students the opportunity to learn emerging technologies such as Artificial Intelligence, Machine Learning, Deep Learning, and Data Science. The programme combines practical learning, industry exposure, and placement support to prepare graduates for future-ready technology careers.
8. What career opportunities are available after B.Tech CSE AI & ML?
Graduates can pursue careers as AI Engineers, Machine Learning Engineers, Data Scientists, Robotics Engineers, NLP Engineers, Computer Vision Engineers, Cloud AI Engineers, Business Intelligence Analysts, and Software Developers across leading technology companies and research organisations.
9. What skills will I develop during the programme?
Students gain expertise in programming, Artificial Intelligence, Machine Learning, Python, Deep Learning, Data Analytics, Cloud Computing, problem-solving, algorithm design, teamwork, and communication. These skills prepare graduates for successful careers in the AI and technology industry.
10. Does the programme include practical learning and internships?
Yes. Students gain practical experience through AI laboratories, live industry projects, coding competitions, hackathons, internships, research activities, and project-based learning. This hands-on approach helps students apply theoretical concepts to real-world AI and Machine Learning applications.
11. What subjects are covered in the B.Tech CSE AI & ML programme?
The B.Tech CSE AI & ML programme covers Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Computer Vision, Natural Language Processing, Cloud Computing, Python Programming, Data Structures, Algorithms, Database Management, and Software Engineering. Students also gain practical experience through laboratory sessions, live projects, and industry-based learning.
12. Is B.Tech CSE AI & ML a good career choice?
Yes. B.Tech CSE AI & ML is one of the fastest-growing engineering specialisations due to the increasing adoption of Artificial Intelligence across industries. The programme equips students with future-ready technical skills and opens career opportunities in software development, AI, Machine Learning, data science, automation, robotics, and intelligent systems.
13. What programming languages will I learn in B.Tech CSE AI & ML?
Students learn widely used programming languages such as Python, C, C++, Java, SQL, and JavaScript. These languages form the foundation for Artificial Intelligence, Machine Learning, software development, cloud computing, and data analytics, enabling students to build practical solutions for real-world applications.
14. Which industries recruit B.Tech CSE AI & ML graduates?
Graduates are recruited by Information Technology, Healthcare, Banking, Finance, Manufacturing, E-commerce, Automotive, Telecommunications, Robotics, and Research organisations. AI and Machine Learning professionals are also in demand across startups and multinational companies developing innovative digital products and intelligent technologies.
15. Does the programme include AI projects and internships?
Yes. Students participate in AI-based projects, Machine Learning model development, internships, coding competitions, hackathons, and industry collaborations. These practical experiences help students strengthen their technical skills, solve real-world problems, and gain valuable exposure before entering the professional workforce.
16. What is the duration of the B.Tech CSE AI & ML programme?
The B.Tech CSE AI & ML programme is a four-year undergraduate degree divided into eight semesters. Throughout the programme, students complete classroom learning, practical laboratory sessions, industry projects, internships, and technical skill development activities to prepare for successful careers in technology.
17. What are the higher education options after B.Tech CSE AI & ML?
After completing B.Tech CSE AI & ML, students can pursue M.Tech, MS, MBA, or specialised postgraduate programmes in Artificial Intelligence, Machine Learning, Data Science, Robotics, Cybersecurity, Cloud Computing, and Business Analytics to expand their expertise and career opportunities.
18. What facilities should students look for in an AI & ML engineering college?
Students should consider modern AI laboratories, advanced computer labs, experienced faculty, research centres, innovation hubs, industry partnerships, internship opportunities, coding clubs, cloud computing resources, and placement support. These facilities contribute significantly to practical learning and career development.
19. Why are placements important when choosing a B.Tech CSE AI & ML college?
Strong placement support reflects the university’s industry connections and career development initiatives. Students benefit from placement training, technical workshops, coding practice, mock interviews, resume-building sessions, and campus recruitment drives that improve their employability and career prospects.
20. How do I choose the best B.Tech CSE AI & ML college in Tamil Nadu?
Students should compare the curriculum, faculty expertise, AI laboratories, research opportunities, industry collaborations, internship support, infrastructure, placement records, and overall learning environment. Choosing a university that balances academic excellence with practical experience helps build a strong foundation for a successful career in Artificial Intelligence and Machine Learning.
