B.Sc Computer Science with specialisation in Artificial Intelligence and Machine Learning

Vision

Aims to provide quality education in the field of Artificial Intelligence with state of art facilities and handle quality research in association with industry and other Universities to produce well trained IT professionals in Machine Learning domain.

Mission

To provide knowledge through teaching and training in the field of Artificial Intelligence and Machine Learning.
To concentrate on teaching-learning, research, project and consultancy help to increase the growth of Artificial Intelligence.
To train students to get best opportunities and tackle challenges in IT industry.
To equip students with communication skill, Leadership quality, ability to work with team help to improve the society.
To provide value based and technical oriented related students help to build the nation.

Programme Educational Objectives (PEOs)

PROGRAMME EDUCATIONAL OBJECTIVES (PEO)

PEO 1: Graduates will have solid basics in Mathematics, Programming, Machine Learning, Artificial Intelligence fundamentals and advancements to solve technical problems.

PEO 2: Graduates will have the capability to apply their knowledge and skills acquired to solve the issues in real world Artificial Intelligence and Machine learning areas and to develop feasible and reliable systems.

PEO 3: Graduates will have the potential to participate in life-long learning through the successful completion of advanced degrees, continuing education, certifications and or other professional developments.

PEO 4: Graduates will have the ability to apply the gained knowledge to improve the society ensuring ethical and moral values.

PEO 5: Graduates will have exposure to emerging cutting-edge technologies and excellent training in the field of Artificial Intelligence & Machine learning.

Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)

PROGRAMME OUTCOMES (PO)

PO 1: Develop knowledge in the field of AI & ML courses necessary to qualify for the degree.

PO 2: Acquire a rich basket of value-added courses and soft skill courses instilling self-confidence and moral values.

PO 3: Develop problem solving, decision making and communication skills.

PO 4: Demonstrate social responsibility through Ethics and values and Environmental Studies related activities in the campus and in the society.

PO 5: Strengthen the critical thinking skills and develop professionalism with the state of art ICT facilities.

PO 6: Quality for higher education, government services, industry needs and start up units through continuous practice of preparatory examinations.

PO 7: Gain inter-disciplinary, multi-disciplinary competence as value additions.

PROGRAM SPECIFIC OUTCOMES (PSO)

PSO 1: Ability to analyze a problem, and identify and define the AI & ML requirements appropriate to its solution.

PSO 2: Ability to design, implement, and evaluate a Machine learning system, process, component, or program to solve the given problem.

PSO 3: Ability to communicate effectively through oral and written means.

PSO 4: Ability to work in a team to achieve a common goal.

PSO 5: Enhanced communication and leadership abilities and ability to work and learn in team environment.

PSO 6: Understand the needs of society and sensitivity to societal responsibilities.

Curriculum & Syllabus 2024

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 132

Category	Code	Course	Hours/Week				Maximum Marks
			L	T	P	O	C	CIA	SEE	Total
LANG 1	24LTAM11/24LHIN11/ 24LFRE11	Tamil I / Hindi I / French I	2	0	0	1	2	40	60	100
ENG 1	24LENG11	English I	2	0	0	1	2	40	60	100
DSC 1	24CBAL11	Object Oriented Programming using Python	3	0	0	2	3	40	60	100
DSC 2	24CBAL12	Artificial Intelligence	3	1	0	2	4	40	60	100
MDC 1	24BMA001	Mathematics- I	2	1	0	2	3	40	60	100
DSE 1/ IDC 1 / Minor 1	24DBAL1-	Discipline Specific Elective-I	3	0	0	2	3	40	60	100
DSC 1 (Lab)	24PBAL11	Practical I - Python Programming Lab	0	0	2	1	1	40	60	100
VAC 1	24DVAC11	Universal Human Values	1	0	0	1	1	40	60	100
SEC 1	24SSKU11	Soft Skills I	2	0	0	1	2	40	60	100
SEC 2		Orientation programme / Industrial Visit	-	-	-	-	-	-	-	-
			18	2	2	-	21	-	-	-

View full Course Curriculum

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 140

Category	Code No	Course		Hours/Week		Credits
			Lecture	Tutorial	Practical
LANG	23LTAM11/ 23LHIN11/ 23LFRE11	Tamil- I/ Hindi-I / French-I	3	0	0	3
ENG	23LENG21	English- I	3	0	0	3
CORE	23CBAL11	Object Oriented Programming using Python	4	1	0	5
CORE	23CBAL12	Artificial Intelligence	3	1	0	4
CORE	23PBAL11	Python Programming Lab	0	0	4	2
CORE	23BMA001	Mathematics – I	4	0	0	4
AECC	23AECS11	Communication Skills	1	0	2	2
SEC		Orientation/Induction programme / Life skills	-	-	-	-
		TOTAL	18	2	6	23

View full Course Curriculum

Eligibility Criteria

Program	Program Duration (Year)	Eligibility	Criteria for Merit
B.Sc Computer Science with specialization in Artificial Intelligence and Machine Learning	3 Years (6 Semesters)	"Pass in (10+2) or equivalent with Maths / Computer Science / Business Maths/ Statistics/Information Practices/Computer Applications/Information Technology/Artificial Intelligence Lateral Entry - Pass in Diploma in Computer Science/ECE/Information Technology/Computer Technology"	Merit based on Vels Entrance Examination and percentage of mark secured in the qualifying examination

Career Prospects

CAREER PROSPECTS

Robotics Programmer
Video Game Programmer
Data Scientist
Software Engineer
Machine Learning Researcher
Business Intelligence Developer
Statistical Analyst

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)	Other Fee (Per Sem)	Total Fee 2024 - 2025 (Per Sem)
37,000	22,000	59,000	From 22.05.2024