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MBA - Data Science & Analytics MBA - Data Science & Analytics

MBA - Data Science & Analytics + Advanced Certification Program in Analytics & Data Science from Great Learning

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Eligibility

Candidates must have a Bachelor's Degree (Minimum of 3 Years Degree Program), with at least 50% marks or equivalent CGPA (45% in case of SC/ST ) from a recognized University.

Students who are in the final year of the bachelor’s degree are also eligible to apply.

Program Start Date

July 31, 2021

Application Deadline

July 15, 2021

Duration

2 Years

Study Mode

Online

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Why study an MBA with Data Science & Analytics 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. What isn’t as well known is that companies value strong managers who understand the business domain, and can apply their comprehensive understanding of data science and analytics to the right business problem in the right way. This specialization will help you develop both sound business acumen and an incisive analytical mind. 

The specialization is brought to you by a team that has expertise in the domain and have been into professional training for more than five years now. The degree first builds your foundations with a comprehensive general management curriculum and adds a deep-dive into a data science & analytics techniques - allowing you to experience how data science can be leveraged effectively to drive maximum business value.

Specialization Highlights

  • Build real-world data science skills, and combine them with world-class managerial skills
  • Master the ‘data-driven- approach’ to all aspects of business and management decisions- spanning marketing, operations, finance, and HR
  • Learn the most relevant technologies like Python, Tableau, Excel, and SQL 
  • Build an e-portfolio with a robust set of projects across general management and data science and analytics
  • Learn the “Tricks of the Trade” through a series of sessions delivered by practicing data scientists, business analysts, and seasoned managers
  • A plethora of timely, up-to-date career-specific content including industry reports, interview guides, resume guides, practice questions, and masterclasses

Specialization Structure *

  • Principles of Economics & Markets
  • Managerial Effectiveness & Ethics
  • Accounting & Finance
  • Organizational Behaviour & Human Resources Management
  • Quantitative Techniques & Analytics

 

  • Entrepreneurship
  • Marketing Management & Research
  • Python for Data Science
  • Statistics for Decision Making
  • Data Wrangling and Exploratory Data Analysis
  • Business Environment & Strategy
  • Operations Management
  • Data Visualisation
  • Business Analytics
  • Data Analytics using Excel
  • Open Elective - Effective Business Communication
  • SQL for Data Science
  • Predictive Analytics using Machine Learning
  • AI for Business
  • Web & Social Media Analytics
  • Cross-functional Elective - Analytical Problem Solving for Business
  • Master Thesis / Project 

 

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

Value Added Programs on LinkedIn Learning
  • Learning Data Visualization by Bill Shander
  • Advanced SQL for Data Scientists by Dan Sullivan
  • Data Science Foundations: Data Mining by Barton Poulson
  • Artificial Intelligence Foundations: Machine Learning by Doug Rose
  • Managing and Analyzing Data in Excel (Office 365/Excel 2019) by Dennis Taylor

Fee Plan

We offer loan assistance to students
  • Zero Cost EMI
  • EMI Options available for 8 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.