B.Tech. CSE in Artificial Intelligence & Machine Learning

Vision

To develop a knowledge hub for Computer Science Engineers and Technocrats in application of their competence for the betterment of the Individual, Industry and Society.

Mission

To nurture the students to be industry ready by providing a strong conceptual foundation and by enhancing their employability and entrepreneurial skills.
To provide holistic growth by conducting relevant enrichment programs, which includes curricular, co-curricular, extra-curricular and extension activities.
To inculcate innovation and creativity through practically viable Internships and Project works.
To create a research oriented mindset and focus in fulfilling growing demands of the society through mentoring and lifelong learning.

Program Specific Outcomes (PSOs)

PSO 1. The Computer Science and Engineering graduates are able to analyze, design, develop, test and apply management principles, mathematical foundations in the development of computational solutions, make them to expert in designing the computer software and hardware. PSO 2. Develop their skills to solve problems in the broad area of programming concepts and appraise environmental and social issues with ethics and manage different projects in interdisciplinary field

Programme Outcomes

PO1: Independently carry out research /investigation and development work to solve practical problems.

PO2: Write and present a substantial technical report/document.

PO3: Demonstrate a degree of mastery over the Computer Science and Engineering curriculum at a level higher than the requirements in the appropriate bachelor programme.

PO4: Apply mathematical foundations, algorithms and computer science principles in modelling and designing computer systems.

PO5: Apply computer science tools and techniques to solve different classes of engineering problems following ethical practices.

PO6: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Program Educational Objectives (PEOs)

PEO 1. To design, analyze, innovate and synthesize information in the field of Computer Science and Engineering relating to Industrial applications and Research.

PEO 2. To become Entrepreneurs or Employees of Reputed Organizations or Pursue Higher Education

PEO 3. To exhibit leadership capability, endeavouring Social and Economic commitment and a mind-set to inculcate community service and to conserve the Environment.

PEO 4. To accomplish any tasks with ethical values and commitment to meet the social needs.

PEO 5. To work in a Multidisciplinary environment by providing solutions to real time problems22

Curriculum & Syllabus

B.Tech CSE AI & ML (Regulation 2021)

(MINIMUM CREDITS TO BE EARNED: 170)

Category	Course Title	Lecture	Tutorial	Practical	Credits	CA	SEE	Total
SEMESTER 1
BSC	Chemistry	3	1	-	4	40	60	100
BSC	Mathematics – I (Calculus & Linear Algebra)	3	1	-	4	40	60	100
ESC	Programming for Problem Solving	3	-	-	3	40	60	100
BSC	Chemistry Laboratory	-	-	4	2	40	60	100
ESC	Programming for Problem Solving Laboratory	-	-	4	2	40	60	100
ESC	Workshop / Manufacturing Practices	1	-	4	3	40	60	100
		10	2	12	18

Curriculum & Syllabus

Eligibility Criteria

Program	Program Duration	Eligibility	Criteria for Merit
B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning)	4 Years (8 Semesters)	"First Year: Passed 10+2 examination with Physics/ Mathematics/ Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship as per table 8.4 Agriculture stream (for Agriculture Engineering) Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. OR Passed D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme) Lateral Entry (to Second Year) Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in ANY branch of Engineering and Technology. OR Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject. OR Passed B.Voc/3-year D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)"	"Merit based on Vels Entrance Examination and percentage of mark secured in the qualifying examination"

Career Prospects

CAREER PROSPECTS

Machine Learning Engineer
R&D Engineer
System Analyst
System Engineer
Programming architect
Full Stack Developer / Front end Developer / Back end Developer
Software developer
Computer network architect
System administrator
Database administrator
Data Analyst
Game Developer

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)	Other Fee (Per Sem)	Total Fee 2024 - 2025 (Per Sem)
58,000	41,000	99,000