B.C.A. Data Science - Best Deemed University in Chennai

VISION

To produce globally competent graduates, skilled intellectual professionals and a successful entrepreneur in the field of Computer Science and Information Technology to meet the current challenges in the fast-growing IT industry.

MISSION

To provide a strong theoretical and practical knowledge to the students in computer science discipline.
To equip our students to attain skill set imperative to harness the opportunities present in this dynamic environment.
To Provide technical & skill-based quality training to the students in the field of Information Technology.
To empower the Youth in rural communities with computer knowledge.
To inculcate knowledge about socio-economic duties & responsibilities, human & ethical values to become an optimistic global citizen and a life-long learner.
To provide environmental education to empower knowledge on ecological issues and to protect and conserve invaluable natural resources for healthy and sustainable livelihoods.

PROGRAM EDUCATIONAL OBJECTIVES (PEO)

PEO1 Global Competence: Develop into globally competent computer professionals capable of thriving in multidisciplinary domains.

PEO2 Social Commitment and Ethical Values: Excel as individuals committed to social responsibility, ethical values, and empathy for societal needs.

PEO3 Entrepreneurship and Leadership: Become entrepreneurs with strong leadership skills, capable of providing innovative solutions and developing software products.

PEO4 Lifelong Learning: Engage in lifelong learning to stay abreast of the latest technologies and advancements in emerging areas of computer applications.

PEO5 Quality Technical Training: Deliver high-quality technical and skill-based training to students in the field of information technology

Programme Specific Outcomes (PSOs)

PROGRAMME SPECIFIC OUTCOMES (PSO)

PSO1 Fundamental Computer Concepts: Gain a strong understanding of basic computer concepts in both theoretical and practical application in diverse fields.

PSO2 Interdisciplinary Knowledge Application: Apply knowledge of mathematics, computer science, and management effectively in practice.

PSO3 Problem Solving with Latest Technologies: Analyze and utilize the latest technologies to address problems in computer applications.

PSO4 Software Development Skills: Develop software applications and tools using quantitative and qualitative techniques. Design computing systems that meet desired needs within realistic constraints such as safety, security, and applicability.

PSO5 Practical Skills for Industry Solutions: Develop practical skills to provide innovative solutions to challenges in industry, society, and business.

PSO6 Communication and Collaboration: Communicate effectively and Work collaboratively in multidisciplinary teams to achieve common goals in software development projects.

PSO7 Professionalism and Ethics: Demonstrate awareness of ethical and legal issues related to information technology and adhere to professional codes of conduct. Continuously update knowledge and skills in the rapidly evolving field of computer applications and information technology.

PSO8 Practical Application and Project Management: Apply theoretical knowledge to real-world problems through internships, capstone projects, or industrial training. Manage software development projects, including project planning, scheduling, budgeting, and risk management practices.

Programme Outcomes

PROGRAM OUTCOME (PO)

PO1: Apply the data science principles, tools and techniques to model and analyze various real world business problems, and suggest a suitable solution by communicating relevant findings and effectively presenting results using appropriate data visualization techniques.

PO2: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Understand the recent developments and applications of big data analytics in social and web media firms for prediction and recommendation.

PO4: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: Recognize various issues in everyday business; apply data science to understand and make well-reasoned, data-driven management decisions.

PO7: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

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
AEC	24LTAM11/ 24LHIN11/ 24LFRE11	Tamil I/ Hindi I/ French I	2	0	0	1	2	40	60	100
AEC	24LENG11	English I	2	0	0	1	2	40	60	100
CC	24CBDS11	Programming in C	3	0	0	2	3	40	60	100
CC	24CBDS12	Fundamentals of Data Science	3	0	0	2	3	40	60	100
CC	24CBDS13	Internet Of Things	3	0	0	2	3	40	60	100
MDE	24BMA001	MathematicsI	3	0	0	2	3	40	60	100
CC LAB	24PBDS11	Programming in Clab	0	0	2	1	1	40	60	100
CC LAB	24PBDS12	Advanced Excel Lab	0	0	2	1	1	40	60	100
VAC	24ABDS11	Communication Skills	2	0	0	1	2	-	100	100
SEC	24SSKU11	Soft Skills I	2	-	0	1	2	40	60	100
SEC	24SBDS13	Orientation programme/ Industrial Visit	-	-	-	-	-	-	-	-
			20	-	4	-	22	-	-	-

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Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 140

Code No.	Course		Hours/Week				Maximum Marks
		Lecture	Tutorial	Practical	Credits	CA	SEE	Total
LANG	Tamil I/ Hindi / French	5	0	0	5	40	60	100
ENG	English I	5	0	0	5	40	60	100
CORE	Programming in C	4	1	0	5	40	60	100
CORE	Mathematics - I	4	0	0	4	40	60	100
CORE	Programming in C Lab	0	0	4	2	40	60	100
CORE	MS Office Lab	0	0	4	2	40	60	100
		18	1	8	23

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Eligibility Criteria

Program	Program Duration (Year)	Eligibility	Criteria for Merit
B.C.A Data Science - Shift - I (VISTAS)	3 Years (6 Semesters)	Pass in (10+2) or equivalent with Maths / Computer Science/ Informatics Practices/Business Maths/ Statistics Information Technology/Artificial Intelligence Lateral Entry: Pass in Diploma in Computer Science/ECE/Information Technology/Computer Technology	Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

CAREER PROSPECTS

Applications Architect
Business Intelligence Developer
Data Architect
Data Analyst

Data Scientist
Data Engineer
Enterprise Architect

Infrastructure Architect
Machine Learning Scientist
Maching Learning Engineer

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)	Other Fees (Per Sem)	Total Fee 2024 - 2025 (Per Sem)
33,000	25,000	58,000