Programme Overview

Online MCA In Data Science

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

This year, there are an estimated 2.7 million job postings in data science and analytics globally. The Indian data science industry is growing at over 33% and has consistently been among the fastest-growing industries.

The market is particularly strong for technology professionals who straddle computer science, applications and data science. An individual who understands both the use of data to generate insights, but also how to integrate these data science models into computer systems - is worth their weight in gold. And companies recognize and reward such talent. This elective will help you develop both sound computing foundations and an incisive analytical mind. The MCA data science program first builds your foundations with a comprehensive software & computer applications curriculum and adds a deep dive into a data science & analytics techniques - allowing you to develop end-to-end, data-powered software systems.

Elective Highlights

• Practical industry-focused curriculum that is appreciated by a panel of industry experts
• Learn to compete and succeed in competitive data science challenges on platforms like Kaggle
• Learn all the relevant technologies - Python and relevant packages like NumPy, SciPy, ScikitLearn, Matplotlib, Data visualization tools like Tableau, and SQL For ETL
• Get a shareable e-portfolio with all the projects you have completed to showcase your expertise
• Learn the “Tricks of the Trade” through a series of sessions delivered by practicing data scientists
• A plethora of timely, up-to-date career-specific content including industry reports, interview guides, resume guides, practice questions and masterclasses

Semester 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*
• Java Programming*
• Python for Data Science*
• Statistical Methods in Decision Making

Semester 3

• Application Development using Python*
• Advanced Web Technologies*
• Data Visualization*
• SQL for Data Science*
• Predictive Analytics using Machine Learning*
• Open Elective Course

Semester 4

• Data Mining*
• Time series Analytics*
• Text Mining*
• Applied Analytics - Marketing, Web, Social Media
• 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.

Semester 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*
• Java Programming*
• Python for Data Science*
• Statistical Methods in Decision Making

Semester 3

• Application Development using Python*
• Advanced Web Technologies*
• Data Visualization*
• SQL for Data Science*
• Predictive Analytics using Machine Learning*
• Open Elective Course

Semester 4

• Data Mining*
• Time series Analytics*
• Text Mining*
• Applied Analytics - Marketing, Web, Social Media
• 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/-