M.Sc. in Applied Statistics (Data Science)
at MIT School of Engineering and Sciences, Loni Kalbhor

4.0 /5

(1 Review)

Private Institute
Estd. 2015

4.0

Placements

4.0

Infrastructure

4.0

Faculty & Course

4.0

Campus Life

4.0

Value for Money

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M.Sc. in Applied Statistics (Data Science) - Batch of 2024

4.0

My review of this college.

Placements: The placement scenario is great. There are many job opportunities, and we can take placements either on campus or off campus. The college has a maximum number of placements every year, which is too good. There are generally 80% placements. Ample of companies come here like Tata, Tech Mahindra, L&T, Google, Microsoft, etc. The average package ranges from 10-11 LPA, and it is different at every company. The highest package is 25 LPA. Our college provides internships. A number of core companies are coming for internships.

Infrastructure: The hostel facility is good and very disciplined. Every rule is followed in a strict manner. There are enough rooms to accommodate all students, and it provides everything like a bed, mattresses, a bucket, and a pillow. Students do not have to carry anything except their clothes and things for daily use. The hostel is always clean. Bathrooms are always clean. The food is too good in the mess, and it is hygienic.

Faculty: Faculty members are very good. They are cooperative and very helpful. They support us in all ways. They are knowledgeable. I am totally satisfied with the faculty members. The exam pattern is a 2-semester system in a year. One semester has two 20-mark exams and one 60-mark exam, along with practical exams. There are marks for attendance and assignments too. There are 10 marks for assignments and attendance. The course curriculum is industry-oriented. The course is structured in such a way that students learn what industries need, and this type of learning helps students get better jobs.

Other: College life is not just about studies. There are so many events happening in the college where we get the faculty members' support.

Reviewed on 2 Jul 2025Read More

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M.Sc. in Applied Statistics (Data Science)
at
MIT School of Engineering and Sciences
Overview

M.Sc. in Applied Statistics (Data Science) at MIT School of Engineering & Science is a 2 years course offered in a Full Time mode. Candidates seeking admission must check the eligibility requirements. The eligible aspirants can proceed with the admission formalities. After selection, the course fees of MIT School of Engineering & Science have to be paid. The total tuition fee for the course is INR 1,90,000. Table below mentions more details about M.Sc. in Applied Statistics (Data Science) course:

Total Tuition Fees	₹1.90 Lakh Get Fees details
Duration	2 years
Course Level	PG Degree
Mode of Course	Full Time
Official Website	Go to Website
Seat breakup	15
Type of University	Private

M.Sc. in Applied Statistics (Data Science)

Table of contents

Overview
Fees
Highlights
Student Reviews
Placements
+ 2 more items

M.Sc. in Applied Statistics (Data Science)
at
MIT School of Engineering and Sciences
Fees

As per MIT School of Engineering & Science fee structure, the fees for M.Sc. in Applied Statistics (Data Science) is INR 1,90,000. This fee is paid annually/ semester-wise at the beginning of every year/semester as per the rules laid down by the institution. However, some part of the total fee must be paid during MIT School of Engineering & Science admissions. Check below the course-wise total tuition fee for all MIT School of Engineering & Science Courses in the table below:

Fee components	Amount (2 years)
Tuition Fees The fees might include components other than tuition fees.	₹ 1.90 Lakh
Total fee	₹ 1.90 Lakh

These are based on information available on various sources. Latest values may differ.

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M.Sc. in Applied Statistics (Data Science)
at
MIT School of Engineering and Sciences

Frequently Asked Questions

M.Sc. in Applied Statistics (Data Science)
at
MIT School of Engineering and Sciences
Highlights

The course offers specialization in Data Science.

M.Sc. in Applied Statistics (Data Science)
at
MIT School of Engineering and Sciences
Students Ratings & Reviews

4/5

1 Verified Review Info Icon

3-4
1

Placements4.0

Infrastructure4.0

Faculty & Course4.0

Campus Life4.0

Value for Money4.0

M.Sc. in Applied Statistics (Data Science)
at
MIT School of Engineering and Sciences

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M.Sc. in Applied Statistics (Data Science)
at
MIT School of Engineering and Sciences
Placements

Top Recruiters for MIT School of Engineering and Sciences

Accenture

amdocs

Barclays Bank

Forbes Marshall

GODREJ

Haier

IBM

Infosys

L T

Reliance Jio

Sandvik

Tata Technologies

TCS

Whirlpool

Wipro

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M.Sc. in Applied Statistics (Data Science)
at
MIT School of Engineering and Sciences
Entry Requirements

General

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Candidate should have passed B.A. (Hons.) or B.Sc. (Hons.) in Mathematics or Statistics, or a bachelor's degree in any discipline with Mathematics or Statistics at the undergraduate level, or B.E. / B.Tech. with Mathematics or Statistics at the subsidiary level, from a University recognized by the University Grants Commission (UGC). A relaxation of 5% in the minimum qualifying marks shall be applicable to candidates belonging to Reserved Categories, Economically Weaker Section (EWS), and Persons with Disabilities (PwD) from the State of Maharashtra.
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M.Sc. in Applied Statistics (Data Science)
at
MIT School of Engineering and Sciences
Admission Process

Admission Process
For admissions related detail please click on https://www.shiksha.com/college/mit-school-of-engineering-science-loni-kalbhor-pune-51904/admission