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

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

View full course curriculum

 

 

Program	Eligibility	Criteria for Merit
B.C.A Data Science - II Shift	Pass in (10+2) or equivalent with Maths / Computer Science / Business Maths / Statistics / Computer Applications / Information Practice Lateral Entry: Pass in Diploma in Computer Science / ECE / Information Technology / Computer Technology	Merit - based on percentage of marks secured in the qualifying examination.

Tuition Fee 2023 - 2024 (Per Sem)	Other Fee (Per Sem)	Total Fee (Per Sem)
55,000	6,500	61,500