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Quick Facts

Total Fees
16.96 L
Exam
CAT

Fees Details

General

16.96 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

MODE

Full time

DURATION

24 Months

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.

Important dates

Exams and EventsDates
CAT
Advertisement Date (Mode - Online)
29 Jul'24 - 29 Jul'24
CAT
Application Date (Mode - Online)
1 Aug'24 - 19 Sep'24
CAT
Application Correction Date (Mode - Online)
20 Sep'24 - 29 Sep'24
CAT
Admit Card Date (Mode - Online)
23 Oct'24 - 23 Nov'24
CAT
Exam Date (Mode - Offline)
23 Nov'24 - 23 Nov'24
CAT
Answer Key Date (Mode - Online)
1 Dec'24 - 1 Dec'24
CAT
Answer Key Date - Objection (Mode - Online)
2 Dec'24 - 5 Dec'24
CAT
Result Date (Mode - Online)
20 Dec'24 - 20 Dec'24

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

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 Details

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.

Student Reviews for MBA Analytics

College Infrastructure: 5/5
Academics: 5/5
Placements: 5/5
Value for Money: 5/5
Campus Life: 5/5

It is quite good experience to give review about my College.

Verified Review

College Infrastructure

IIM Kashipur have the very good infrastructure we have fully Wi-fi enabled campus, smart classrooms, cafeteria, medical facilities and many more. The hostels are completely clean and the mess food is fully hygienic and also the food taste is very good here.

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