Announcements

BCA | Data Science

Programme Overview

  • The Programme focuses on bridging the gap between the data science and computer applications field by maintaining a healthy balance between them.
  • It mainly focuses on subjects like Big Data Analytics, Python Programming, Machine Learning, Data Modelling and Visualization, Statistics and Probability, and Introduction in Data Mining.
  • The programme encompasses both computer applications and mathematical applications. Students get to experience multiple facets of Data Sciences viz Machine Learning, Artificial Intelligence, R Programming, Database Management Systems, and Big Data-Analytics.

Career Opportunities

  • Software Engineer
  • Data Scientist
  • Health Care Analyst
  • Statistician
  • Business Analyst
  • Associate Business Analyst
  • Data Analyst
  • Market Research Analyst
  • Technical Team Leader
  • Big Data Analyst

Programme USPs

  • Positive academic ambience.
  • Adherence to core values.
  • Strong emphasis on campus culture.
  • Choice Based Credit System- Greater academic, flexibility, Learner centric, Teaching Evaluation process and Industry focused.
  • Experiential Learning based pedagogy.
 

Programme Outcomes

  • To analyze and provide solutions on data visualization techniques using the tools like R, Tableau, and Python.
  • Preparing students for offering cutting-edge solutions for companies’ issues with data driven management decisions using noSql databases.
 

Programme Educational Objectives

  • The Programme focuses on inculcating problem solving amongst students.
  • The programme intends to throw significant light on the scope of Data Science and relevance to modern society. Data Scientists could also solve at least one layer of various issues plaguing society by developing data-driven models.
 

Program Duration

3 Years / 6 Semesters

Program Type

Full-time

Eligibility Criteria

Candidates should have passed PUC/12th standard or equivalent from any stream, with Mathematics as a compulsory subject.

 

Program Structure

I SEMESTER

II SEMESTER

III SEMESTER

IV SEMESTER

V SEMESTER

VI SEMESTER

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