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Post Graduate Diploma in Management [PGDM] (Big Data Analytics) From FORE School of Management, New Delhi
| Years | year 1 | year 2 | ||
|---|---|---|---|---|
| Semester | 1 | 2 | 3 | 4 |
| Tution fees | ₹456750 | ₹456750 | ₹456750 | ₹456750 |
| Total Year Wise fees | ₹9.13 Lakhs | ₹9.13 Lakhs |
FORE School of Management Upcoming Application Dates 2024
Important Events
| Events | Dates |
|---|---|
| CAT 2024 Registration Date | Tentative Aug 03, 2024 - Sep 20, 2024 |
| CAT 2024 Admit Card Date | Tentative Oct 25, 2024 |
| CAT 2024 Exam Date | Tentative Nov 24, 2024 |
| XAT Registration Timeline | Tentative Jul 24, 2024 - Dec 24, 2024 |
| CAT 2024 Result Date | Tentative Dec 26, 2024 |
| XAT Admit card Availability | Tentative Dec 29, 2024 |
| XAT Exam Date | Jan 05, 2025 |
| XAT Result | Tentative Jan 15, 2025 |
Expired Events
| Events | Dates |
|---|---|
| Application Deadline (MBA) | Oct 04, 2023 - Jan 31, 2024 |
Important Events
| Events | Dates |
|---|---|
| CAT 2024 Registration Date | Tentative Aug 03, 2024 - Sep 20, 2024 |
| CAT 2024 Admit Card Date | Tentative Oct 25, 2024 |
| CAT 2024 Exam Date | Tentative Nov 24, 2024 |
| CAT 2024 Result Date | Tentative Dec 26, 2024 |
Important Events
| Events | Dates |
|---|---|
| XAT Registration Timeline | Tentative Jul 24, 2024 - Dec 24, 2024 |
| XAT Admit card Availability | Tentative Dec 29, 2024 |
| XAT Exam Date | Jan 05, 2025 |
| XAT Result | Tentative Jan 15, 2025 |
FORE School of Management Cutoff 2024
FORE School of Management, CAT Cutoff Array
The 1 CAT cutoff percentile for the Post Graduate Diploma in Management [PGDM] (Big Data Analytics) at FORE School of Management was 85 for the General category.
| Courses | 2021 |
|---|---|
Compare | 85 |
FORE School of Management, XAT Cutoff Array
The 1 XAT cutoff percentile for the Post Graduate Diploma in Management [PGDM] (Big Data Analytics) at FORE School of Management was 87 for the General category.
| Courses | 2022 |
|---|---|
Compare | 87 |
FORE School of Management Post Graduate Diploma in Management [PGDM] (Big Data Analytics) Ranking
Outlook Ranking
IIRF Ranking
Eligibility Criteria
The candidates fulfilling the following criteria are eligible for the programme-
- The candidate must hold a Bachelor's degree with minimum 50% marks in aggregate of all the subjects studied at any of the Universities incorporated by an Act of Central or State Legislature in India or other Educational Institutions established by an Act of Parliament or declared to be deemed as a University under Section 3 of UGC Act 1956 or possess an equivalent qualification recognized by the Ministry of HRD, Govt. of India. The Bachelor's degree or equivalent qualification obtained by the candidate must entail or minimum of 3 years of education after completing Higher Secondary Schooling (10+2) equivalent.
- Candidates appearing for the final year degree examination in the year 2024 can also apply subject to furnishing the proof of having passed graduation by October 1, 2024 and obtaining minimum 50% marks in aggregate total of all the subjects studied failing which the provisional admission will be cancelled and no fee will be refunded in lieu thereof.
- A candidate must appear in CAT-2023, XAT-2024 or should have a valid GMAT score in a test taken between 1st January 2022 and 31st January 2024..
Selection Procedure:
- Short-listing on the basis of CAT/XAT Score.
- Extempore and Personal Interview (PI).
- Final selection on the basis of CAT/XAT score, performance in the Extempore, PI, academic performance and work experience.
Course Details
Latest Update: FORE Delhi PI Calls are out for batch 2024-26. Candidates need to check their email for further details. FORE Delhi PGDM-BDA admission 2024 is open. Interested candidates can visit the official website of the institute to register.
FORE Delhi Important Dates 2024
| Event | Dates |
|---|---|
| Shortlist Announcement | January 10, 2024 |
| Personal Interview Process (PI) | February to March 2024 |
| Declaration of Result | April 2024 |
| Program Commencement | June 2024 |
Programme Fees
The PGDM (BDA) programme fee is detailed below-
|
Category |
Fees |
Installments |
|---|---|---|
|
Self Sponsored Category |
Rs.18,27,000 |
4 equal installments of Rs.4,56,750 each |
|
Company Sponsored Category |
Rs. 22,83,800 |
4 equal installments of Rs.5,70,950 each |
- The fee is inclusive of a complimentary International Immersion Programme, tuition fee, examination fee, extra and co-curricular activities, library, books and reading material, IT Services etc.
- International Certification - We also offer complimentary International Certification on Big Data Analytics for Business & Management from the University of California-Riverside to all our students joining this programme to equip them better for the job market.
- The 1st installment needs to be paid by the last date mentioned in the Offer Letter and subsequent installments (2nd to 4th) as per instructions given by the Academic Office.
- A one-time Registration Fee of Rs. 23,000 (Rupees Twenty-Three Thousand only). Including a) Rs. 5,000 towards Security Deposit (refundable), b) Rs. 3,000 towards Library Security (refundable), c) Rs. 5,000 towards Medical Insurance with Personal Accident Policy for 2 years, d) Rs. 2,500 towards Journal Subscription for 2 years, and e) Rs. 7,500 towards Student Activities charges.
- Scholarships are offered to needy students with good academic performance. For more details please follow the link Means-cum-Merit Scholarship.
- The students are provided with ample opportunities to engage in a variety of co-curricular activities for their holistic development.
- The Institute's placement activities and compensation offered to the students matches the best that the industry offers.
- The candidates must note that in case of withdrawal from the programme, the refund will be made as per AICTE Guidelines.
Post Graduate Diploma in Management [PGDM] (Big Data Analytics) Comparison
| FORE School of Management | |
|---|---|
| Reviews Rating | |
| Cost To Study | Total Fees ₹1827000 (2 Years ) Hostel Fees ₹185000 |
| Ranking | # Ranked 63/125 by NIRF Management Ranks |
| Highest Salary | ₹7000000 |
| Average Salary | ₹1601000 |
| General Course Details | Duration - 2 Years Course Offered - Full Time Total Seats - 60 Mode - Full Time Degree Type - On Campus Course Level - Post Graduation Course Credential - Diploma |
| Eligibility | Graduation with 50+CAT/XAT |
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Why To Join FORE School of Management - Reviews & Rating
What Students Say?
Likes
- Location is in Delhi so it best situated between two major hubs, Noida and Gurugram
- How amazing is the Average CTC is and the kind of efforts the college makes in order to give best placement to the students.
Dislikes
- Final placements - they are bad for people having finance specialisation and are freshers
- Summer Internship Placements - they are bad if you are not in top 35%
These insights are automatically extracted from student reviews
Most Popular Tags
Likes
- Crowd, Location, Classes, Teaching Method
- International Immersion Program, Exploring Delhi Life, Committees Culture
Dislikes
- Summer Internship Placements - they are bad if you are not in top 35%
- Final placements - they are bad for people having finance specialisation and are freshers
Course Curriculum Overview:
PGDM(BDA) allowed me to experience B-School like FORE School of Management and it doesn't matter in which course you take the admission as we have umbrella placement which is the best part of FORE School of Management. Faculties are from top-notch backgrounds. FORE is a small college so faculties are paid hefty salaries. All are from IIMs and have served Tier-1 institutes in leadership positions. Teaching pedagogy is great as every subject has various marking components so I have prepared 150+ group presentations so far and it has groomed my personality in better ways.
Likes
- Committees - PEC, CID and Team Nexus, they help in overall personality grooming and you will meet best people to be friends with in your commitee.
- Placements - Umbrella placements, 150+ companies coming to campus
Dislikes
- FCD - A few toxic people in placement committtee
- Small campus limited sports opportunities
Course Curriculum Overview:
I chose the course to enhance my skillset in the data analytics world and it was a cherry on the cake that FORE offers students to choose one more specialisation along with their main specialisation and you're eligible to sit during placements for all companies that come for both of your specialisation. The teaching method is great as teachers take mental notes of the students who participate in class and award class participation marks. Plus, they allocate projects group-wise and by the end of the course you become confident about your presentation skills and personality. Exams are conducted twice in each term and if you have studied dedicatedly in classes you will not find any exams difficult to ace.
Likes
- The Academics and curriculum.
- The co curricular activities and events organised over the year.
Dislikes
- Campus size is too small
- No Hostel Accomodation
Course Curriculum Overview:
The course chosen by me is Big data Analytics and it is in line with the current changing dynamics of the corporate world with analytics playing a dominant role across various industries. Analytics is playing a major role across all industries across different verticals and it is an excellent option to choose. The faculty-to-student ratio at FORE is about 1:50, the faculty is highly qualified with most of the professors being graduates from top B schools and many of them also have vast corporate experience which they share with us and give us crucial insights. The term exams are happening in a timely manner here with mid-term and end-term exams happening every subsequent month and they have good quality as well with a complete evaluation of both our conceptual and practical knowledge.
Likes
- Faculty
- Fests
Dislikes
- Infrastructure
- Lack of sports facilities
Course Curriculum Overview:
I am currently pursuing PGDM (Big Data Analytics). Since FSM offers dual specialisation, I opted for this course with marketing as my second specialisation. The faculty is highly qualified and they give their best to ensure that the students are familiar with all the required concepts. The course curriculum is also good, it includes all the concepts of widely used topics. Moreover, we have exams after every 1.5 months. FSM has trimesters, so in one term there is a mid-term and one end-term for each trimester.
Likes
- Placement are competative good ime 14.5 Lpa is better than few IIM
- Professors are well experienced
Dislikes
- Campus Size is small
- College didn't provide any Hostel facility
Course Curriculum Overview:
The course curriculum is followed by AICTE. There is a total of 6 terms that are divided into 3 terms for each year. For the Big Data analytics (PGDM) batch, 1st term is general, which is similar to all other batches, then from term 2 Basic analytics course started (python) and then followed by Machine learning, deep learning and many more
Likes
- Dustribution of subjects
- Study material
Dislikes
- A little small campus
Course Curriculum Overview:
I chose the course because big data and finance interest me. The faculty is really good with a lot of experience with higher qualifications like PHD from foreign universities like Oxford. They had work experience in various prestigious universities in India itself.
Course Curriculum Overview:
I am from a none coding background thus for me it was a bit difficult to get a hang of the course, since the teachers expect that we should have some knowledge about python and other languages. However, I was able to cope once I learned the basics.
Likes
- Average Package is around 1400000
- Location is in Delhi so it best situated between two major hubs, Noida and Gurugram
Dislikes
- Small campus
Course Curriculum Overview:
I chose this course because I already have a B. Tech degree so I thought that It would be nice to have Analytics as my specialization in my MBA. The number of faculties is higher here, and the ratio is 1:13 The majority of the faculties have completed their Ph.D. degrees and also have corporate experience. Of the total of 17 faculties who taught me, 16 had completed their Ph.D. and 1 was in process of getting his degree. The teaching method is a mix of both academics and industry experience as well The term exams are of two types, mid-term and end-term and there are three trimesters in an academic year. The exams were easy to pass
Likes
- I like the college classroom structure and how they use smart classes for better understanding of the subject.
- The other thing i like about the college is the faculty. I like the teaching methodology that is used for better understanding of the subject matter. Not only this i also like the case study approach the faculty uses for exposing students to the real corporate life.
Dislikes
- Only disadvantage is the campus size is small. Hostel facility is not available.
Course Curriculum Overview:
The course curriculum is well-defined. The college offers a variety of courses and gives students an opportunity to select electives of their own choice. A brief of the course outline is given so that students select the right elective and also meet the concerned faculty. The course curriculum includes subjects like Machine learning, Python, and SQL. Other course subjects are marketing, operations, and Human resources. The faculty is well qualified. They have a good experience in their respective fields. They have a similar ratio of men and women faculty. They are quite approachable and their teaching methodology is impressive. They use a real case study approach in order to make the subject easy for the students. They conduct 2 tests in 1 sem one is the mid-term and the end term. This gives students a better understanding of the subject matter.
Likes
- Course outline
- Faculty members
Dislikes
- Infrastructure
- no playground
Course Curriculum Overview:
Courses and curriculum are good and faculty members are also good. Here we get to learn a lot of things. It's very difficult to pass here because the syllabus is fully updated here as per Harward University. The teachers solve our issue on the spot.
FORE School of Management: 1 Answered Question
How is the course from fore school of management of Big data and data analytic?
FORE School of Management is among the top institutes of India. It is better than others in all the domains including ROI, infrastructure, practical exposure, etc. It is beneficial as it provides international exposure as well. One of my cousins studied there, and here are some of the facts I gathered from him.
- For Big Data and Data Analytics Specialization, the FORE School of Management is in collaboration with the World's most reputed and the top-ranked University, The University of California. It is ranked 121 all over the World.
- The domain of Big Data and Data Analytics includes Managers, Research Scholars, Marketing Professionals, Decision Makers, etc.
- The understanding of procedures and their working and usage are simple and easy to understand. But the inner workings are complex.
The customer behavior is used to cater to the business needs used by the business managers to form a marketing strategy. The course is Project Oriented. All the projects given have to be made using the industry's real data.
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