Course Overview
Synopsis
The shortage of skilled professionals in Industry 4.0 has led to the huge demand for Business Analysts, Data Scientists and management leaders with analytical competencies. And the future promises to be even more technologically disruptive and data-driven. This is exactly where an Executive MBA in Analytics [EMBA (Analytics)] helps prepare working professionals to leverage the power of data and emerging technologies to drive growth in their companies and their careers.
The two-year EMBA (Analytics) by IIM Kashipur aims to prepare participants to become business leaders who can harness the power of analytics to improve organisational processes. The programme trains learners in the emerging and interdisciplinary areas of analytics, technology and management through cross-functional academic and practical learning. The programme boasts a meticulously reverse-engineered curriculum based on industry needs and trends, enabling learners to implement everything they learn in the workplace almost instantaneously.
The pay packages for management professionals with analytics competencies range from ₹4 LPA – ₹53 LPA.
Source: www.glassdoor.co.in |
Course Highlights
- Comprehensive learning spread across 6 terms over 24 months
- Flexible curriculum with 40+ electives across 9 domains
- Robust pedagogy of cases, simulations, workshops & capstone projects
- Blended learning of online and on-campus classes with faculty & industry experts
- One-to-one virtual meeting with faculty to exchange opinions
- IIM Kashipur Alumni Status
Key Benefits
- Demonstrate knowledge about modern business practices and contexts.
- Analyse business phenomena and evaluate them from a critical perspective.
- Understand and create analytics-driven business solutions.
- Demonstrate knowledge of cross-functional managerial and analytical concepts to facilitate organisational growth.
- Learn how to use data analytics to build better strategies for the business and customers.
- Develop dynamic strategic frameworks and effective management systems to improve business processes.
- Master the art of descriptive, predictive, and prescriptive analytics in an organizational decision-making context.
- Learn how to use emerging technologies like AI, Machine Learning, Deep Learning, Spatial Data Science, and Cloud Computing.
Eligibility
I. Bachelor’s Degree
- A full-time bachelor’s degree in any discipline or an equivalent academic pursuit (i.e., 10+2+3), with a minimum of 45% marks or equivalent CGPA (42% for NC-OBC, EWS 40% marks for SC/ST/DAP)
II. Work Experience
- Minimum of three years of full-time work experience, where number of months of work experience is considered as on date of announcement of the online application process for admission.
- Work experience will be considered, which is only paid and full-time work experience acquired after completing the bachelor’s degree.
- Part-time/Project/Internship/Articleship/Apprenticeship/Pre-graduation work experience, etc., which forms an integral part of a course study, should not be entered, and will not be counted as work experience.
Selection Criteria
- Participants will be eligible to apply for the programme based on their overall profile and credentials.
- Eligible applicants will have to appear for EMBA (Analytics) Admission Test and Personal Interview.
Course Modules
The programme comprises the following three modules.
Certificate
- In order to complete the programme, the participants should acquire 34.5 credits across the six terms.
- On successful completion of the two-year programme, participants would be awarded Master of Business Administration (Analytics).
Sample Certificate
Faculty
Date & Fees
Fee Particulars | Amount (in ) |
Application Fee (Non-refundable) | 2,950 |
Caution Fee (Refundable) | 20,000 |
Programme Fee* | 12,00,000 |
Total Fee (Exclusive of Application Fee) | 12,20,000 |
NOTE:
*Based on availability of rooms in the campus, accommodation would be confirmed to the participants and per day charges would be INR 1,500* (includes food charges, and single accommodation). |
|
No. of Installments - All amount is payable in 6 parts | |
Instalment No. | Amount (in ) |
Instalment I | 1,00,000+1,20,000 |
Instalment II | 2,00,000 |
Instalment III | 2,00,000 |
Instalment IV | 2,00,000 |
Instalment V | 2,00,000 |
Instalment VI | 2,00,000 |
Timeline and Dates | |
Application Closure Date | 20-Mar-2022 |
EMBA (Analytics) Admission Test and Personal Interview | 27-Feb-2022 |
Declaration of Results | 04-Mar-2022 |
Last Date for Offer Acceptance and Confirmation of Admission | 13-Feb-2022 |
Inauguration, Orientation & Induction | 11-Apr-2022 |
Pedagogy
- The programme’s teaching methodology and approach is designed to leverage technology and maximise interaction seamlessly and simultaneously across geographies.
- The programme follows a tried, tested, and proven pedagogy that is a blend of lectures, case studies, white papers, lecture-discussions, behavioural and computer-based simulations, projects, assignments, class presentations, and quizzes, among others.