MCA Data Science

Teacher
Saravana Kumar
Category:
Data Science

With the evolution of communication technologies and the abundance of data, businesses today are accumulating new data at a rate that exceeds their capacity to extract value from it. Hence, the emphasis on ‘data-driven science’ in addition to traditional hypothesis-driven business decision-making has increased. This specialized field demands multiple skills that are not easy to obtain through conventional curricula.
Hence, the MCA Data Science programme was developed by Ajeenkya D Y Patil University to provide a career for students in one of the fastest-growing technology sectors – Data Science. This program is designed to cater to IT professionals’ regional, national, and global requirements.

  • 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 solve real-world problems with logical, critical, and creative thinking to arrive at the optimal solution.
  • Prepare students to identify, critically analyze, and formulate complex computing problems using the fundamentals of computer science and application domains.
  • Prepare students to design and develop solutions for real-world problems using appropriate Data Science models.
  • Prepare students to perform professionally as individuals and in multifaceted teams with a positive attitude.
  • Prepare students to adapt to new technologies and constantly upgrade skills with an attitude towards independent and lifelong learning.

Curriculum*

*Subject to change

Semester 1

  • Operating System Principles
  • Java Programming
  • Data structures using C++
  • Practical Approach to Database Systems
  • Computer Architecture

Semester 2

  • Algorithm Design and Analysis
  • Elements of Computer Networking
  • Cloud Computing Tools and Techniques
  • Fundamentals of Storage and Data Center Architecture
  • Exploring Software as a Service (SaaS)

Semester 3

  • Design Principles of Virtualization
  • Cloud Computing and Web Services
  • Infrastructure Containers
  • Linux System Administration / Windows Administration
  • Automation and Configuration Management
  • Software Engineering
  • Linux Administration

Semester 4

  • Environmental Studies
  • Designing Enterprise Networks
  • Employability Skills Programme – II
  • Fundamentals of Storage and Data Centre
  • Introduction to Cloud Technology
  • Cloud web Services
  • SP2: Cloud Technology
  • Server Operating System Lab

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