Online MBA from Venkateshwara Open University India

About this Program

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About this Program

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.

MCA with Elective


Data
Science


Full Stack
Development & DevOps


Cloud
Computing


Data
Analytics

Who should do this Program

Our specialized MCA is for graduates who wish to acquirer knowledge & skills in the emerging technology domains like Data Science, Cloud Computing, Full Stack Development, DevOps, Data Analytics.

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Highlight of the Program:

  • Government Recognized Degree From VOUSSM

  • Students would acquire skills from chosen elective like Data Science, Full Stack Development & DevOps, Data Analytics, Cloud Computing

  • Assured Job Interviews for candidates seeking placement services

  • Convenient and Flexible: MCA specially designed for professionals seeking successful career in emerging IT domains

  • Self-Paced Learning with Anywhere Anytime access to Virtual Campus

  • Access to 100% Online Immersive Learning

  • Live Interactive Sessions conducted by Industry Experts

  • Capstone Project: Real Time Industry Projects with Concepts put to Practice

Career Opportunities after completion of this Program

Hiring for specialized domains has been tremendous and therefore this MCA will offers wide range of growth oriented job opportunities from fresher level to experienced level in job roles like Software Engineer, Machine Learning Engineer, Data Scientist, NLP Scientist, Human Centered Machine Learning Designer, Business Intelligence Developer, AI Architect, Robotics Programmer, AI Analyst, Full Stack Developer, UI-UX Developer, Data Analyst, Cloud Computing Engineer, Cloud Analyst, DevOps Engineer, DevOps Analyst and so on.

Program Outcome

  • Use the techniques, skills and modern software tools necessary for innovative software solutions.
  • Provide the ability to work with domains like Data Science, Full Stack Development, DevOps, Cloud Computing, Data Analytics using technological tools and applications.
  • Transform complex business scenarios and contemporary issues into problems, investigate, understand and propose integrated solutions using emerging technologies.
  • Learn to Think Critically, understand, analyse, and develop software necessary for business

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

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.


G Book

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


Practice test

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


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.

Program Duration

Minimum 2 Years and Maximum 4 Years.

Eligibility

  • Minimum 50% Marks with Mathematics In Graduation From Recognized University.

Program Fees

Fee plan Down Payment
(INR)
EMI Amount
(INR)
EMI Tenure 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

Looking for your next Promotion?

We understand how important a Degree is for your next promotion or salary hike. That is why, VOU offers exclusive Work Integrated Programs that are easier to take, self-paced, supported with an excellent LMS and will ultimately give you that extra edge. For those looking for a quicker way to climb up the Corporate Ladder, we offer exclusive Career Counselling.