MCA Plus
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.
Get Course Details
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 |
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
|
Full Stack
|
Data
|
Cloud
|
|
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 |
