BCA Big Data Analytics

Big data analytics is the use of state-of-the-art analytical techniques to very large, diverse big data sets that include structured, semi-structured, and unstructured data from numerous sources and range in size from terabytes to zettabytes.

Big Data Analytics is one of the intriguing and booming areas of study in the IT field. It comprises the subjects like Big Data, Apache Spark, Apache Kafka, Apache Hive, NoSQL database, networking, data structure, and core programming languages like ‘C’ and ‘java’.

Thus, BCA in Big Data Analytics has been designed by Ajeenkya DY Patil University to cater to provide an in-depth understanding of the fundamentals of Computer Applications and prepare graduates as leading professionals globally in government, academia, and corporate and research organizations along with entrepreneurial pursuits.

  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Best-in-class faculty
  • Tech-enabled program delivery using tablets, PCs and learning management system
  • Emphasis on application-oriented learning
  • Reputed university with excellent campus and infrastructure
  • 100% placement support*

Program Details

  • Prepare students to identify, critically analyze and formulate complex computing problems using fundamentals of computer science and application domains.
  • Prepare students to create and develop solutions to real-world problems using the proper methodologies.
  • Prepare students to use relevant technologies including Python programming, PyCharm, Cloudera, GitHub, and AWS services to understand how to tackle real-world challenges.

Curriculum*

*Subject to change

  • Communicative English-I
  • Effective Speaking & Analytical Skills I
  • Elementary Mathematics
  • Computer Fundamentals & Organization
  • Introduction to C Programming
  • Web Technology
  • Cloud Computing Services and Models (Minor-1)
  • Communicative English ll
  • Effective Speaking & Analytical Skills ll
  • Reasoning and Thinking I
  • Data Structures and Algorithms
  • Object Oriented Programming in Java
  • Relational Database Management System
  • Foundation Course (Big Data Analytics)
  • Mobile Device and Network Architecture (Minor-2)
  • Reasoning and Thinking – II
  • Operating Systems
  • Computer Networks
  • Big Data Analytics
  • Employability Skills Programme- I
  • Beginner Level (Big Data Analytics)
  • Industrial Artificial Intelligence (Minor-3)
  • Environmental Studies
  • Apache Hive
  • NoSQL
  • Research Paper Writing/ Ethics of
  • Intellectual Properties
  • Employability Skills Programme- II
  • Intermediate Level (Big Data Analytics)
  • IoT Systems and Design(Minor-4)
  • Apache Kafka
  • Python Programming
  • Professional Effectiveness/ Data Studio
  • Employability Enablement Programme
  • Advanced Level (Big Data Analytics)
  • Mini Project
  • Blockchain Essentials (Minor-5)
  • Apache Spark
  • Real-Time Data Processing
  • Introduction to Data Science(Minor-6)
  • Simulated Apprenticeship Programme/ Internship Programme

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Enrolled: 2 students
Duration: 3 Years | Full-time