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BCA Data Analytics

Programme Details

The program aims to impart in depth knowledge on the key concepts, technologies, and its applications in data science & business analytics, machine learning, visualization techniques and predictive modeling. This will also help the students to understand data and its arrangement.

Upon graduation, a student will acquire theoretical knowledge and more hands-on skills on data science. Graduates would take up the roles of Data Analyst, Data Engineer, and Data Scientist who develops AI solutions for real world problems.


Course Content

Semester 1

  • English 101
  • Mathematics 101
  • Introduction to Computer Programming using Python
  • Introduction to Computer Programming using Python Lab
  • English Lab 101
  • Audit Course

Semester 2

  • English - 201
  • Mathematics - 201
  • Fundamentals of Computer Organization
  • Problem Solving Using C
  • Problem Solving Using C - Lab
  • English Lab - 201
  • Audit Course

Semester 3

  • Employbility Skills - 301
  • Operating System
  • Unix Shell Programming
  • Open Elective - I
  • Data Structures using C
  • Data Structures Lab
  • Audit Course

Semester 4

  • Employability Skills - 401
  • Software Engineering
  • Introduction to Web Programming
  • Database Management Systems
  • Open Elective - II
  • Web Technology and Database Management Systems - Lab
  • Audit Course

Semester 5

  • Employability Skills - 501
  • Introduction To Data Analytics (Jain Univer)
  • Data Mining and Data warehouseing
  • Statistical Methods for Data Analysis
  • Open Elective - III
  • Data Analytics Lab Using R Programming
  • Audit Course

Semester 6

  • Employbility Skills - 601
  • Social Network Analysis
  • Program Specific Electives- I
  • Program Specific Electives - II
  • Open Elective -IV
  • IPCC-Data Visualization and Reporting
  • Technical Seminar
  • Audit Course

Semester 7

  • Big Data Analytics
  • Program Specific Electives - III
  • Program Specific Electives - IV
  • Big Data Analytics Lab
  • Project - Phase I

Semester 8

  • Project - Phase II
  • Internship