MCA - Data Science MCA - Data Science

MCA - Data Science + Advanced Certification Program in Data Science from Great Learning

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Eligibility

Pass in an Undergraduate (Bachelor) Programme 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 Programme are also eligible to apply.

Batch Start Date

September 30, 2021

Duration

2 Years

Study Mode

Online

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Why study MCA with Data Science Specialization?

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 specialization will help you develop both sound computing foundations and an incisive analytical mind. The program first builds your foundations with a comprehensive software & computer applications curriculum and adds a deep-dive into data science & analytics techniques - allowing you to develop end-to-end, data-powered software systems.

Specialization Highlights (Data Science Specialization)

  • A 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

Specialization Structure *

  • Mathematical Foundation for Computer Application
  • Operating System & Unix Shell Programming 
  • Data Communication & Computer Networks
  • Data Structures with Algorithms 
  • Computer Organization & Architecture
  • Relational Database Management System 
  • Design & Analysis of Algorithms 
  • Java Programming
  • Python for Data Science
  • Statistical Methods in Decision Making
  • Application Development using Python 
  • Advanced Web Technologies 
  • Data Visualization 
  • SQL for Data Science
  • Data Mining
  • Open Elective Course - Effective Communication for Technology Professionals
  • Predictive Analytics using Machine Learning
  • Time series Analytics
  • Text Mining
  • Applied Analytics - Marketing, Web, Social Media
  • Cross-Functional Elective Course - Competitive Programming
  • Project

* Course matrix subject to change based on emerging industry trends and academic requirements

Value Added Programs on LinkedIn Learning
  • Database Foundations: Intro to Databases by Adam Wilbert
  • Programming Foundations: Object-Oriented Design by Barron Stone and Olivia Chiu Stone
  • Programming Foundations: Algorithms by Joe Marini
  • Learning Data Visualization by Bill Shander
  • Advanced SQL for Data Scientists by Dan Sullivan
  • Data Science Foundations: Data Mining by Barton Poulson

Fee Plan

We offer Liqui Loans to students
  • Zero Cost EMI
  • No Advance EMI
  • EMI options available for 6,8 and 10 months

Learning Methodology

Program delivery follows the prescribed four Quadrants approach resulting in maximum learner engagement. Each course involves approximately 120 hours of learning.
Two-way live online audio-video lectures
Pre-recorded audio-video lecture available on the Learning Management System (LMS)
Multimedia content
Interactions through the discussion forum on the LMS
Exhaustive e-content/printed material for in-depth reference
Self-study activities including assignments, quiz & MCQs, essay-type questions, case study etc.
Experiential learning methods including individual and group projects, programming exercise, dissertation, MOOCs and various

Two-way live online lectures are scheduled during the weekends. Typically 5 - 8 hours of engagement is planned, the schedule of which is communicated well in advance. Faculty and Subject Matter Experts lead these interactive sessions. A recording of these sessions is hosted on the Learning Management System (LMS) for subsequent reference and practice.

Our LMS platform has been designed to engage and inspire a learner by providing access to all the learning resources including texts, videos, screencasts & lecture recordings; participate in discussion forums; communicate with the faculty and the program team. A leaner has the option to take-up the several quizzes and the MCQs that follow at the end of every unit of the course, track learning progress, submit assignments and much more.

A learner is provided access to an exhaustive tailor-made Self Learning Material (SLM) on the LMS. The SLM will also indicate sources of additional readings and resources available on the internet and on-campus library.

Assessment of performance in all courses is based on two components - Internal Assessment and University Examination conducted online at the end of the Semester.

The Program emphasizes on Experiential Learning that allows learners to apply concepts learnt in the classroom in simulated and real work situations. This is achieved through Simulation Tools, Platforms & Environments

Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the Program

How to Enroll into the Program?

  • Click here to visit the JAIN Online Enrollment Form. Create your login on the Enrolment Platform by entering your unique Email id and create a password of your choice.
  • Once you have logged in, you will see a screen showing 4 essential steps to be completed to enroll for the Program of your choice. All the necessary documents are to be submitted as part of the Process.
  • At the end of the Enrollment Process 'Pay Fee’ using Net Banking/ Debit Card/ Credit Card/SBI Collect. Option to submit fee using easy-EMI with 0% interest
  • If you are opting for Financial Aid, please select the Financial Aid option during Enquiry. Our Student Support Managers would reach out to you
  • Please download the Enrollment Form and Receipt. Enrollment Number is to be used for further Communication with the University
  • Our Program Managers would reach out to you for activating your Learning Management System

Career Advancement Services

Our Career Advancement Services Team works tirelessly to Connect our Students with the right Job opportunities. With Years of Experience in Training, Networking and Human Resource skills, the team finds exciting and challenging Job Opportunities for our students in companies of repute through a structured framework

Our Hiring Partners

Frequently Asked Questions

Designed as per the University Grants Commission (UGC) Regulations, 2020, JAIN (Deemed-to-be University)’s Online Degree Programmes are recognized at par with on-campus programmes Degrees are widely accepted Worldwide by governments, corporate organizations, and higher education institutions.

  • Candidates must have a 10 + 2 + 3-year bachelor's degree from a recognized university/institution or an equivalent qualification as recognized by the Association of Indian Universities or other competent bodies, in any discipline.

Live Online Classes are Scheduled on the Weekends for 7 to 8 Hours. Self-Learning Materials in the form of Video and PDF formats are available on the Learning Management System.

Examinations are conducted through Online Technology Enabled Proctored mode. The exam pattern comprises of internal and external assessments. The weightage is as follows: Internal(assignments) 30% and External (Semester examination) 70%. Section A- Subjective, Section B- Case Studies and Section C- MCQs

The minimum passing criteria is 5.5 SGPA(Semester Grade Point Average) and 6 CGPA (Cumulative Grade Point Average.

Yes, We offer placement assistance with JAIN (Deemed-to-be University) Connect To Careers Virtual Job Fair and on Connect To Careers e-Portal, a Digital Platform that can help you expand your job search by allowing you to meet multiple recruiting organizations looking for interns and employees.