MBA (Analytics)

The MBA (Analytics) program at IIM Kashipur is a two-year full-time residential programme and aims to prepare managers and future leaders who will shape the increasingly technology-oriented and data-driven world. IIM Kashipur focuses on grooming its students to acquire knowledge, skills and attitudes for leadership profiles so that they can seamlessly navigate the ever-changing business landscape. IIM Kashipur nurtures the students through a balanced mix of academics, industry exposure and co-curricular activities.

Objectives

The primary objectives of this programme are:

  1. To provide a comprehensive learning environment for students to cope with the increasing demand for complex data analysis and thus helping organizations to make better decisions.
  2. To understand the necessary principles of different forms of analytics (descriptive, predictive and prescriptive) to facilitate decision-making in practical business settings.
  3. To acquire and use advanced analytical as well as managerial skills to evaluate uncertain and dynamic business environment and to make effective decisions.
  4. To develop the ability to communicate business information to decision makers and policymakers.

Apply for MBA (Analytics) 2020 : Link 1 | Link 2

 

The programme is divided into six terms; three terms in the first year and three terms in the second year. Each term is of around eleven weeks’ duration. The first-year coursework of MBA (Analytics) shall be several courses in common with the Regular MBA program in Terms I, II and III. This shall provide a good foundation on Management foundations. MBA-Analytics students shall be doing certain analytics-core courses in Term I, II, III, that are not part of regular MBA I. During the summer internship, the participants get an opportunity to build a practical perspective of whatever they have learned in the classroom and to warm up themselves for deeper insight through elective and self-study course in second year.

Terms and Courses*

Master of Business Administration (Analytics)
Program Duration: Two Years
Term I – 3 Months
July – September		 Term II – 3 Months
October – December		 Term III – 3 Months
January – March
Behaviour in Organization Designing Work Organizations Corporate Finance
Business Communication Legal Aspects of Business Managing People in Organizations
Financial Reporting and Analysis Macro-Economic Analysis Strategic Management
Managerial Economics Operations Management Management Information Systems
Marketing Management – I Decision Modelling Business Computing II
Mathematical Foundations Business Computing I Analytics Research Methods
Business Statistics Introduction to Business Analytics Data Visualization
Summer Internship: April – May (8 Weeks)
Term IV – 3 Months
June – August		 Term V – 3 Months
September – November		 Term VI – 3 Months
December – February
Applied Econometrics for Managers Data Management & Big Data Natural Language Processing
Data Science and Machine Learning AI & Deep Learning Elective 05
Social Media and Web Analytics Advanced Data Analysis Dissertation – Final
Elective 01 Elective 03  
Elective 02 Elective 04  
Dissertation – Part A Dissertation – Part B  

Indicative (Non-Exhaustive) List of Electives

AI and the New Economy, Algorithms & Complexity, Algorithmic Trading, Blockchain, Behavioural Economics, Computational Intelligence, Cryptography, Computational Social Science, Cyber-Security, Digital Finance, Privacy and Ethics of Digital World, Digital Business, Digital Marketing, Digital Products and Design, Digital Policy, e-Governance and Smart Cities, Economics of Information, Econometric Machine Learning, Financial Analytics, Fintech, Future of Work, Game Theory in Digital Business, Healthcare Analytics, HR Analytics, Industry 4.0 & Automation, Innovation and Creativity in Digital Economy, IT Product Management, IT Project Management, Marketing Analytics, Marketing Research, Multimedia Analytics, New Venture Development, Open Source Software Development, Power & Negotiation, Pricing and Revenue Analytics, Simulation, Sociology and Analytics, Spatial Data Analysis, Supply Chain Analytics.

* The program structure is tentative and subject to change.

PROPOSED FEE STRUCTURE FOR MBA (Analytics) 2020-22 BATCH ONWARDS

  Particular Term-I Term-II Term-III Term-IV Term-V Term-VI Total (₹)
1 Admission Fee 25000 0 0 0 0 0 25000
2 Tuition Fee 125000 125000 125000 125000 125000 125000 750000
3 Computer Fee 10000 10000 10000 10000 10000 10000 60000
4 Library Fee 10000 10000 10000 10000 10000 10000 60000
5 Hostel Fee 52000 52000 52000 52000 52000 52000 312000
6 Student Welfare Activity Fee 4000 4000 4000 4000 4000 4000 24000
7 Books & Course Material Fee 38500 38500 38500 38500 38500 38500 231000
8 Convocation Fee 0 0 0 0 0 13000 13000
  Sub-Total             1475000
NON REFUNDABLE FEE 
9 Medical Fee 2000 0 0 2000 0 0 4000
10 Placement Fee 0 12500 0 0 0 12500 25000
11 Alumni Activity Fee 4500 0 0 4500 0 0 9000
  Sub-Total             38000
REFUNDABLE FEE
12 Caution Deposit 3000 3000 3000 3000 3000 3000 18000
13 Library Deposit 3500 0 0 0 0 0 3500
14 Computer Deposit 3500 0 0 0 0 0 3500
15 Mess Deposit 4000 0 0 0 0 0 4000
  Sub-Total             29000
  GRAND TOTAL OF FEE             1542000

Eligibility Criteria

In order to be eligible to apply for MBA (Analytics) programme, a candidate must possess:

1. A full-time Bachelor's degree in any discipline or an equivalent academic pursuit (i.e., 10+2+3), with a minimum of 50% marks or equivalent CGPA (47% for NC-OBC, 45% marks for SC/ST/DAP)

2. Any of the following qualifying exam score:

• Valid CAT-2019 Score
• GMAT / GRE score where the exam was taken on or after May 1, 2018

Reservation Criteria

IIM Kashipur will follow the Government of India norms on reservations for Scheduled Caste (SC), Scheduled Tribes (ST), Non-Creamy Other Backward Class (NC-OBC), Differently-Abled Person (DAP), and Economically Weaker Section (EWS) candidates.

Admission Process

The Admission Process shall comprise of the following stages

Stage 1: 

Candidates will have to submit online application with all the required documents in the form of attachments as required on or before 30th April 2020 and pay the application fee (Rs 500/- for candidates belonging to NC-OBC/SC/ST/DAP/EWS categories, and Rs 1000/- for others).

Stage 2:

Candidates will be shortlisted based on their Qualifying Exam Score (CAT-2019/ GMAT/ GRE), educational background (Marks obtained in X, XII and Graduation Degree), work experience, discipline diversity, and gender diversity.

Stage 3:

Shortlisted candidates will have to appear for a Personal Interview. Interview will be conducted at IIM Kashipur campus in Kashipur, and if required, in New Delhi and Bangalore. However, the Institute reserves the right to add/cancel any center for the conduct of Personal Interview.

Important Information

The following documents need to be kept ready as they may be requested at any time during the admission process for further verification.

• Caste Certificate (NC-OBC/SC/ST/DAP certificate), if applicable
• NC-OBC Certificate not more than six months old as on the interview date
• EWS supporting document as per GoI norms
• SSC/10th Std/Equivalent Marksheet
• HSC/12th Std/Equivalent Marksheet
• Graduation Degree Marksheet/Degree 
• Proof of Work Experience, i.e. relevant Certificate(s) along with first & last salary slips. Specific dates of joining and leaving the organization(s) need to be mentioned. Self-employed professionals may submit a personal declaration stating the exact dates of   their employment along with necessary documents. Indicate only paid and full-time work experience, acquired after completing the Bachelor’s Degree. (Apprenticeship, Articleship, Internship, etc., which form an integral part of a course study, should not be treated as work experience).

For complete admission policy, click here.

Admission Queries may be addressed to mbaanalytics[at]iimkashipur[dot]ac[dot]in

Applicants have to pay the following application fees.

• General Candidates – Rs. 1000
• NC-OBC / SC / ST / EWS / DAP Candidates – Rs. 500

Payment of Application Fee through SBI Collect

For Fee payment Instructions, click here

For Fee payment link, click here

S.No Event Date
1 Last Date of Submission of Online Application April 30, 2020
2 Shortlist Announcement (Tentative) May 10, 2020
3 Personal Interviews (Tentative) Last Week of May, 2020
4 Admission Offers (Tentative) First Week of June, 2020
5 Programme Orientation  Last Week of June, 2020
6 Programme Commencement First week of July 2020

Admission Queries may be addressed to mbaanalytics[at]iimkashipur[dot]ac[dot]in

Dr. Vinay Sharma
Administrative Officer (Admissions)
Indian Institute of Management Kashipur
Kundeshwari, Kashipur- 244713
District- Udham Singh Nagar
Uttarakhand- India.
M: +91 96755 33302

Any Technical query/issue during filling of application form, may be addressed to response[at]iimkashipur[dot]ac[dot]in.