Programme Overview

Online MCA In Data Analytics

With the continuous advancements in technology, companies, irrespective of their size, are looking for experts with sound IT knowledge and skills. Our Online MCA is a two-year degree program that offers foundation courses, core courses, and a comprehensive project, apart from an option to pursue a cross-functional and open elective.

The core programs incorporate AICTE’s model curriculum as prescribed for a full-time Online MCA Program. They have been designed keeping in mind the industry’s requirements to provide in-depth knowledge of the concepts and technologies required to develop software applications. Our Online MCA curriculum is intended to increase a learner’s technical skills and abilities, thus offering a way to accelerate one’s career for corporate roles in the IT domain.

About this Elective

The Institute of Analytics (IoA) is the professional body for Analytics and Data Science professionals in UK and International.

The program meets the highest academic and quality standards and will provide an exemption from membership requirements and have access to the IoA resources and information services, professional development activities as well as careers advice and progression opportunities. The careers portal of IoA provides a wealth of free advice. The program is designed to meet a growing need for graduates with a sound education in business and the specialist skills to help organizations understand their customers, forecast future demand and use big data to make effective decisions. You will learn to use industry-standard analytics software and develop the mathematical skills required to gain insights from a range of data sources, including the internet and social media data. Input from the industry ensures the course content meets contemporary business needs.

Elective Highlights

• Addresses the need to propel information-gathering and data organization
• Understanding of how to exploit potential information and knowledge hidden in routinely collected data to improve decision-making
• IoA currently has 4,500+ members worldwide
• IoA works with Government, Academia and the Corporate Business Sectors to promote cooperation, research and employment growth in the Analytics & Data Science Sectors
• Gain a greater understanding of the impact that technological advances have on nature and practices adopted within the business intelligence and analytics practices, and know-how to adapt to these changes
• Opportunity to design, develop and execute project to demonstrate learning

emester 1

• Mathematical Foundation for Computer Application
• Operating System and Unix Shell Programming*
• Data Communication and Computer Networks
• Data Structures with Algorithms*
• Computer Organization and Architecture

Semester 2

• Relational Database Management System*
• Design and Analysis of Algorithms*
• R Programming*
• Python Programming*
• Structured Query Language*

Semester 3

• Application Development using Python*
• Advanced Web Technologies*
• Machine Learning*
• Natural Language Processing*
• Internet of Things*
• Open Elective Course

Semester 4

• Big Data - Hadoop*
• Artificial Intelligence*
• Deep Learning*
• Computer Vision*
• Cross-Functional Elective Course
• Project**

Eligibility

Pass in an Undergraduate (Bachelor) Program of a minimum duration of three (3) years in any stream from a UGC Recognized University, with a minimum aggregate of 50% or an equivalent letter/numerical grade. A relaxation of 5% shall be given to SC/ST candidates.

Candidates who are in the final semester of the Bachelor's Program are also eligible to apply.

emester 1

• Mathematical Foundation for Computer Application
• Operating System and Unix Shell Programming*
• Data Communication and Computer Networks
• Data Structures with Algorithms*
• Computer Organization and Architecture

Semester 2

• Relational Database Management System*
• Design and Analysis of Algorithms*
• R Programming*
• Python Programming*
• Structured Query Language*

Semester 3

• Application Development using Python*
• Advanced Web Technologies*
• Machine Learning*
• Natural Language Processing*
• Internet of Things*
• Open Elective Course

Semester 4

• Big Data - Hadoop*
• Artificial Intelligence*
• Deep Learning*
• Computer Vision*
• Cross-Functional Elective Course
• Project**

Semester-wise

₹50,000 x 4 Semesters

Total Fees

₹200,000/-

Year-wise

₹100,000 x 2 Years

Total Fees

₹200,000/-