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B.C.A. Data Science

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

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 140

Code No.Course Hours/Week Maximum Marks
LectureTutorial PracticalCredits CA SEE Total
LANGTamil I/ Hindi / French
50054060100
ENGEnglish I50054060100
COREProgramming in C41054060100
COREMathematics - I40044060100
COREProgramming in C Lab00424060100
COREMS Office Lab00424060100
181823

View full course curriculum

 

 

Eligibility Criteria

ProgramEligibilityCriteria 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.

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

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