MCA Plus

Duration
2 Years

EMI
₹ 8,105 / Month

Eligibility
Minimum 50% Marks with Mathematics In Graduation From Recognized University

About the Programs

Masters of Computer Applications (MCA) is a post-graduation programme in data science (machine learning and artificial intelligence). Organisations across the world are searching for quick and effective ways to leverage AI and ML for automation, better decision-making, and competitive advantage. Organisations are using AI and ML for better engaging customers, increase profitability.

The program is designed to enable students to master the new and emerging domains and hence open up job growth areas in ever evolving technology domain.

Exposure to the most relevant topics included in the program will help the student achieve new heights in the emerging careers.

Who should do this Program?

Highlights of the Program

To lay sound foundation for conceptual understandingwith an insight into the intricacies of software and dynamic business environment.
To provide excellent theoretical and practical exposure in the algorithm designing & optimization, programming, network & database management, mobile technologies and more.
To guide the students for better knowledge of computer applications and develop programming skills coupled with managerial skills to help students meet the rising manpower demands of the global IT industry.
To equip students with emotional maturity, analytical ability, cross functional capability and skills to operate effectively in multicultural global business environment.

Program Outcome

Program Structure

Fundamental Module	Year1
	Semester 1	Semester 2
	Database Management System	Enterprise Resource Planning
	Object Oriented Prog with C++	Advance Database Management System
	Software Engineer	M.I.S & Business Intelligence
	Operting System Concepts	Design & Analysis of Algorithm
	Data Communication & computer Network	Data Structure Using C++
	Lab - Object Oriented Prog With C++	Lab - Data Structure Using C++

Students to select any one elective bucket in second year from four options provided below

Year 2		Data Science	Full Stack Developement	Data Analytics	Cloud Computing
	Semester 3	Essentials of Data Science	Introduction to Linux	Big Data Analytics	Linux Administration
		Machine Learning concepts using Python	HTML, CSS and Javascript	Data Analytics Using Python	Introduction to Cloud Computing
		Big Data Hadoop	User Interface, Experience, Design	SQL for Data Analytics	Introduction to Amazon Web Services
		Business Application of Machine Learning	DevOps -1 (GIT, Jenkins, Docker)	Web Analytics	Introduction to Microsoft Azure services
		Statastic and Python in Machine Learning	Software Architecture	Digital Media Analytics	Cloud Programming
		Time Series Analysis and Forecasting Techniques	Prototyping	IOT and Data Analytics	Cloud Virtualization
		Lab - Big Data Hadoop	Lab - Prototyping	Lab - Big Data Analytics	Lab - Cloud Programming
	Semester 4	Deep Learning and NLP	Web Services- Rest API, ReactJS, NodeJS Development	Data Analytics using R	Introduction to Google Cloud services
		IOT Cloud and Watson Analytics	DevOps-2 (Ansible, Puppet, Nagios)	Data Analytics for Decision Making	Introduction to IBM Cloud Services
		Web, Social Analytics and Visualization	Python Programming	Data Analytics for Business	Cloud Computing for Businesses
		Spark on Azure HD	Version Control System	Google Analytics	Cloud Networking
		Basic R Programming	Software Deployment	Marketing Analytics	Cloud Security
		Lab - R Programming	Lab - Python Programming	Lab - Data Analytics	Lab - Cloud Security
		Project	Project	Project	Project

Students to select any one elective bucket in second year from four options provided below

Program Delivery

Upon registration, the Students are provided with study material (books) along with the login credentials of the Virtual Campus for accessing the courses online within 21 working days.

The Virtual Campus would have semester wise buckets for subjects of the said program. Every subject would have various chapters with following learning activities for the students:

Digital Textbook

These are the self-learning material in form of notes, which are created in simple and understandable language for any learner to get well acquainted with the topic

Practice test

For every topic, the learners can gauge their understanding during the learning process through the Practice Test.

G Book

Guidebook helps the learners understand the key insights which are the fundamentals of the topic in an easier and simpler language.

Live Interactive Online Sessions

For major subjects, there would be academic doubt resolving sessions for the students. The student can attend the scheduled live sessions as published on the website. Click Here for Live Session Updates.

Program Fee

Fee plan	Down Payment (INR)	EMI Amount (INR)	Months	EMI Fees (INR)
Plan 1 (NBFC Based)*	₹ 26,614	₹ 9,022	24	₹ 2,43,146
Plan 2 (Standard Plan)	₹ 48,629	₹ 8,105	24	₹ 2,43,146

* Non Banking Finance Company

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MCA Plus

MCA Plus

About the Programs

Who should do this Program?

Highlights of the Program

Program Outcome

Program Structure

Fundamental Module

Year1

Year 2

Data Science

Full Stack Developement

Data Analytics

Cloud Computing

Semester 3

Semester 4

Program Delivery

Program Fee

Apply Now

Fundamental
Module

Data
Science

Full Stack
Developement

Data
Analytics

Cloud
Computing