B.Tech. Computer Science and Engineering (Artificial Intelligence & Machine Learning)

  • Offered by:
  • Specialisation:
    Artificial Intelligence and Machine Learning
  • Duration:
    4 years | 8 semesters
  • Campus:
  • Eligibility:
    (a) Must have successfully cleared the Higher Secondary Examination (Class XII) (Minimum 50% marks) with Mathematics, Physics and Chemistry.
    (b) Qualifying marks of JEE, KEAM (Kerala Engineering Architecture Medical) or equivalent examinations.

Location:

Onakkoor, Ernakulam

 

Why B.Tech. Artificial Intelligence and Machine Learning at CVV?

Artificial intelligence and machine learning have emerged as transformative technologies that are revolutionising the way we live and work. From autonomous vehicles and virtual assistants to personalised healthcare and smart manufacturing, AI and ML are driving groundbreaking innovations across sectors. The B.Tech. programme in Artificial Intelligence (AI) and Machine Learning (ML) is designed to provide students with a strong foundation in these rapidly evolving fields. The demand in these subject areas is exploding as AI and ML are increasingly used in marketing, finance, health care, etc.

The curriculum of the programme covers a wide range of topics, including mathematical foundations, statistics, data mining, pattern recognition, deep learning, natural language processing, computer vision, and robotics. Students gain a strong understanding of the theoretical principles underlying AI and ML algorithms and hands-on experience in implementing and deploying AI systems. Practical application and experiential learning form an integral part of the B.Tech. AI and ML Programme. Students engage in real-world projects, case studies, and industry collaborations to apply their knowledge to solving complex problems. They work with large datasets, develop intelligent algorithms, and leverage cutting-edge tools and technologies to extract insights and make data-driven decisions. Apart from these, students explore the ethical considerations, biases, and privacy concerns associated with AI systems and learn to develop solutions that are fair, transparent, and trustworthy.

The adaptability to changing industry demands enables the graduates of the B.Tech. AI and ML programmes to have a wealth of career opportunities available to them. They can work as AI engineers, machine learning specialists, data scientists, research scientists, AI consultants, and AI project managers, among other roles. Additionally, the programme prepares students for advanced research and higher studies in AI and ML, paving the way for further specialisation and contributions to the field.

Programme Structure

Semester I

Semester I

Course Name

Course Type

Credits

Engineering Mathematics – I

BS

4

Engineering Chemistry

BS

3

Problem Solving and Programming

ES

3

Communicative English

HS

3

Life Sciences

BS

3

Computer Engineering Workshop

ES

3

Problem Solving and Programming Lab

ES

2

Engineering Chemistry Lab

BS

2

National Service Scheme

MC

0

Semester Credits

                                  23

 

Semester II

Semester II

Course Name

Course Type

Credits

Engineering Mathematics – II

BS

4

Engineering Physics

BS

3

Basic Electrical and Electronics Engineering

ES

4

Engineering Graphics (CAD)

ES

3

Computer Programming using C

PC

3

Design Thinking

HS

2

C Programming Lab

PC

2

Engineering Physics Lab

BS

2

Yoga

MC

0

Semester Credits

23

 

Semester III

Semester III

Course Name

Course Type

Credits

Discrete Mathematical Structures

PC

4

Foundations of Artificial Intelligence and Machine Learning

PC

3

Computer Organisation and Architecture

PC

3

Data Structures

PC

3

Data and Visual Analytics in AI

PC

3

Universal Human Values II/Indic Knowledge systems – Self Unfoldment

HS

3

Engineering Ethics

MC

0

Data Structure Lab

PC

2

Artificial Intelligence and Machine Learning Lab

PC

2

Semester Credits

23

 

Semester IV

Semester IV

Course Name

Course Type

Credits

Mathematical Foundations for Machine Learning

ES

3

Operating System

PC

3

Big Data Analytics

PC

3

Object Oriented Programming Through Java

PC

3

Database Management Systems

PC

3

Constitution of India

MC

0

Program Elective I

PE

3

Operating Systems and Java Lab

PC

2

Database Management Systems Lab

PC

2

Semester Credits

22

 

Semester V

Semester V

Course Name

Course Type

Credits

Design and Analysis of Algorithms

PC

3

Formal Languages and Automata Theory

PC

3

Optimisation Techniques in Machine Learning

PC

3

Deep Learning

PC

3

Open Elective I

OE

3

Mini Project I

PW

4

Summer Internship/Addon Course

PW

6

Deep Learning Lab

PC

2

Semester Credits

27

 

Semester VI

Semester VI

Course Name

Course Type

Credits

Concepts of Natural Language Processing

PC

3

Computer Networks

PC

3

Recommendation System

PC

4

Program Elective II

PE

3

Program Elective III

PE

3

Open Elective II

OE

3

Mini Project II

PW

4

Networking lab

PC

2

Semester Credits

25

 

Semester VII

Semester VII

Course Name

Course Type

Credits

Compiler Design

PC

4

Program Elective IV

PE

3

Project Phase I

PW

6

Industrial Training/Internship/ Research Projects in National Laboratories/ Academic Institutions/Add-on Course/Seminar/MOOC/NPTEL

PW

6

Semester Credits

19

 

Semester VIII

Semester VIII

Course Name

Course Type

Credits

Program Elective V

PE

3

Project Phase II

PW

10

Semester Credits

13

 

Category and Credits

Category

Category Code

Credits CVV

Humanities & Social Sciences

HS

8

Basic Sciences

BS

21

Engineering Sciences

ES

18

Open Electives

OE

6

Programme Electives

PE

15

Programme Core

PC

71

Project

PW

36

Mandatory Courses

MC

 

TOTAL CREDITS

175

 

Higher Studies & Career Avenues

Higher Studies:

  1. Master’s in Artificial Intelligence or Machine Learning: Deepen your knowledge in AI and ML, explore advanced topics, and potentially specialize in areas like computer vision, natural language processing, or reinforcement learning.
  2. Ph.D. in Artificial Intelligence or Machine Learning: Pursue research opportunities, contribute to cutting-edge advancements, and potentially become a professor or researcher in academia.
  3. MBA with a Specialization in AI/ML: Combine business and AI/ML skills for managerial roles in companies focusing on AI applications.
  4. Specialized Certifications: Obtain certifications in specific AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) or in specialised areas like deep learning, natural language processing, or computer vision.

Career Avenues:

  1. Machine Learning Engineer: Develop and deploy machine learning models, work on predictive analytics, and contribute to data-driven decision-making.
  2. Data Scientist/ AI Research Scientist: Analyze and interpret complex data sets, build and deploy machine learning models, and derive insights for decision-making, Contribute to research in AI, work on developing new algorithms, and advance the field.
  3. Robotics Engineer: Combine AI and ML with robotics to develop intelligent and autonomous systems.
  4. AI Product Manager: Manage the development and deployment of AI products within a company, ensuring alignment with business goals.
  5. AI Software Developer: Develop software applications that incorporate AI and ML algorithms to solve specific problems, develop systems that enable machines to interpret and understand visual information, Work on technologies that enable machines to understand, interpret, and generate human language, Apply AI/ML techniques to analyze medical data, improve diagnostics, and enhance healthcare processes. 
  6. AI for Cybersecurity Analyst: Use AI/ML to detect and prevent cyber threats, enhancing the security of information systems.

CVV INSTITUTE OF SCIENCE & TECHNOLOGY

Unique Features of B.Tech. Programmes at CVV

  • State-of-the-art academic and hostel facilities, brand-new computer centres, labs, classrooms and research space.
  •  Specialised workstations and servers, high-performance computing clusters, and leading-edge software. 
  • Expert teaching faculty focused on empowering students to deliver technological innovation and impact.
  • Real-world projects, publication opportunities, and industry collaborations.
  • Year-round guest lectures on industry trends, emerging technology, career opportunities, and other topics by members of our global panel of industry and academic experts.
  • Opportunities for paid internships in India and abroad from year one onwards.
  • Collaboration with leading corporations to enable students to intern and engage in the future of technology.
  • Introduction to Indian Knowledge Systems (IKS) to empower the students holistically.
  •  An opportunity to know the real “Me” through Yoga and Meditation.

Guest Lectures, Industry Exposure, Internships, and Placements

In the four years at CVV, the students will be continually exposed to a global panel of industry and academic experts through guest lectures. These lectures will cover a broad range of topics, including career development, technology, finance, market trends, entrepreneurship, and the skills needed to succeed in all facets of startups.

Leading companies have agreed to offer paid internships to CVV students in India and, for the lucky few, overseas as well. Students have the opportunity to participate in research projects and internships with industry partners, giving them invaluable practical experience. Upon completion of the programme, the very same companies will compete to employ CVV students. CVV’s Placement Office will help prepare students and guide them every step of the way, firmly rooted in the conviction that “Your Success is Ours, too!”

Our Laboratories

Our laboratories are equipped with the latest hardware and software tools necessary for the study and practical application of engineering today and in the future. They are provisioned with the latest desktops, high-performance computing clusters, and specialised software that is essential for the study of artificial intelligence, automation systems, data sciences, and other domains. Our laboratories are designed to foster collaboration and innovation, providing students with a stimulating environment that encourages research and innovation. Designed to simulate real-world conditions in the marketplace, by working in these labs, students will gain practical experience in developing intelligent systems that interact with the physical world.

Expert Faculty

Our faculty members are leading experts in their respective fields, with extensive experience in industry and academia. They use a variety of innovative teaching methods and pedagogies to cater to the different learning styles and needs of students. Our highly motivated faculty, many with teaching and working experience in the US, UK, Australia, and premier institutions in India, are passionate about teaching and research. They are committed to providing students with the best possible education and industry exposure.

They collaborate on research projects with leading technology companies and research institutions. Faculty use interactive lectures, group discussions, case studies, experiential learning, and hands-on projects to engage students and encourage critical thinking and problem-solving. They also provide individualised feedback and support to help students improve their understanding of the subject matter. The valuable insights and perspectives gained by CVV students are priceless. Students gain a practical understanding of the concepts and skills needed to succeed in their chosen field.

Professor
Associate Professor
Associate Professor
Assistant Professor
Assistant Professor
Assistant Professor
Assistant Professor

CVV-IST Location

CVV has built an exclusive state-of-the-art facility for students and faculty at Onakkoor in Ernakulam district, just 35 km from the Ernakulam Junction Station and 50 km from Kochi Airport.

With new academic blocks, hostel and dining facilities, and leading-edge computers and software in the lab, students and faculty will live and work on the campus set amidst a verdant hill station-like location that is very conducive to learning, engaged with events, and exciting for building a social and academic life. With access to a convenience store and other shops, the student will look forward to every day as a new adventure in life and learning.

For queries or clarifications, reach us at:

Faculty

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