CMI is one of the India’s finest research Universities, with programs
in Mathematics, Data Science, Computer Science and Physics. The
institute benefits from a small student-to-faculty ratio. The diverse
community, focus on strong student-faculty ties and commitment to
education outside the classroom combine to create a unique learning
environment.
World class faculty: CMI attracts the best
teaching talent, among whom are Bhatnagar Awardees, Members of
International Mathematical Societies and Fellows of Indian
National Science Academy. More details here.
The best mathematical talent: Students are selected
through rigorous national level exams. For B.Sc. (Hons.)
program, top performers in national level mathematics and
informatics olympiads are offered direct admission. Students
from CMI regularly gain admissions to Ivy league and other top
tier research
institutes, including MIT, Princeton University, University of
Chicago, University of California Berkeley, Columbia
University, Cornell University etc.
Data science at CMI: The M.Sc. program in data
science was launched in 2018 with the aim to serve the booming
demand for data scientists. It blends theoretical rigour and
hands on tools to launch prospective students on a career in
data science.
Unique course design which combines theoretical rigour
with hands on practical expertise differentiates the M.Sc. Data
Science Course from standard Business Analysis courses.
Strong emphasis is placed on fundamentals and in-depth
coverage of concepts. This ensures that the graduates are well placed to
study and implement the latest techniques from the field of data
science.
Consistent work on research papers drives students to
venture beyond traditonal models for innovative solutions to
challenging problems. In essence, CMI adds the right amount of
research intuition to ensure that the students completely
understand the concepts behind the implementation.
Topics in Mathematics focus on gaining a deeper
understanding of high-performance algorithms, machine
learning, data mining and analysis. The topics in statistics are geared
towards data analysis with visualisation and predictive
modelling.
It is mandatory for the students to take up industry
internship after the first year. This gives them exposure to
real world industry problems.
Corporate & Industrial Relationships
To complement its long and distinguished
history of academic collaborations, CMI has
taken active steps to engage with industry on
areas related to the mathematical
sciences.
CMI currently has an active R&D
collaboration in the area of large-scale
formal verification with the Tata Research
Development and Design Centre (TRDDC), Pune, a
research lab under TataConsultancy Services.
Another collaboration is with Honeywell
Technologies in the field of verification of
avionics software.
In 2015, CMI set up a separate society
called Algolabs to foster interaction with
industry, notably in the area of analytics,
and optimization. Algolabs has conducted
numerous short-term training programmes in
machine learning, including in-house training
for organizations such as Cognizant, Global
Analytics, MRF and Tech Mahindra. In addition,
Algolabs has undertaken projects in several
areas related to analytics and machine
learning. The goal is to make Algolabs the
first choice solution provider for any
industrial problem requiring computational and
analytical insight.
Some CMI graduates have created
startups. Indraneel Mukherjee (BSc 2006) has a
startup in San Francisco dealing with web
analytics. Sourasis Roy (BSc 2005, MSc 2007)
is co-founder of a Mumbai startup in the area
of insurance. Recently, Pratish Gandhi (BSc
2010, MSc 2013) has founded a startup in
Bangalore in the area of financial
services.
Curriculum
The programs offered in CMI are listed
below.
B.Sc. (Hons.) in Mathematics &
Computer Science (3-year
integrated course)
B.Sc. (Hons.) in Mathematics &
Physics (3-year integrated
course)
M.Sc. in Mathematics
M.Sc. in Data Science
M.Sc. in Computer Science
Ph.D. in Mathematics
Ph.D. in Computer Science
Ph.D. in Physics
Depending on their interests, students from
any of the above programs may take up
corporate jobs. The largest number of students
participating in campus interviews are from
M.Sc. in Data Science, M.Sc. in
Computer Science and B.Sc. (Hons.) in
Mathematics & Computer Science.
M.Sc. Data Science students take up three
month summer internships during May-July after
their first year.
M.Sc. Computer Science students write an
M.Sc. thesis during January-June in their
second year. Some students write the thesis in
CMI, while others opt for writing it during a
six month industry internship.
Core Courses
Below is a list of industry relevant courses.
Full details are available here.
Mathematics:
Calculus, matrix computations and linear algebra routines, topological
data analysis, numerical optimization, discrete mathematics.
Machine Learning:
Supervised and unsupervised learning, reinforcement learning, deep
learning, neural network, natual language processing, Bayesian
networks.
Statistics:
Probability theory, sampling distributions, estimation, hypothesis
testing, statistical inference, advanced regression, logistic
regression, time series and Bayesian data analysis - with R
Computer Science:
Design and analysis of algorithms, data mining, graph theory,
databases, data structes with Python, distributed computing for big
data .
Course details
M.Sc. in Data Science
The main objectives of this program are to prepare the students to be job ready for the industry
in India and abroad, which uses Data Science for its daily management decision and strategic
decision making. We train our graduates in a way, given a problem, if requires they would be
able to read a research paper, understand and implement it with ease.
For more details, please visit https://www.cmi.ac.in/~sourish/msds_test/.
M.Sc. in Computer Science
Master of science in computer science is a
four semester program. The last semester
involves writing an M.Sc. thesis. If a student
has completed all other course requirements in
the first three semesters, that student is
allowed to complete the thesis as part of a
six month internship carried out in companies
working in relevant areas. Apart from this,
students also take up internships during the
summer break in May-July. Admission to this
program is through a highly competitive
national level entrance test. A portion of the
students are also admitted from CMI
undergraduate batch based on their
performance.
While some basic courses are compulsory for
all students, there is a lot of flexibility in
the form of elective courses. As students
realize their interests and goals, they
typically specialize in core computer science
or in one of the application areas such as
machine learning or statistical computation.
The courses offered are based on discrete
mathematics, algorithms, theory of
computation, linear algebra, logic and
automata theory, probability and statistics.
Placement statistics
Campus interviews are being conducted in
CMI for several years now. Some of the major
recruiters are Credit-Suisse, Ernst &
Young, TRDDC, Adobe, Zen Drive, Teradata,
Fresh Works. CMI admits around 50 B.Sc.
students and 70 M.Sc. students
every year. Following are the statistics for the past few years.
Year
Maximum Offer
Mean Offer
Median Offer
2023-2024
25.8 lpa
18.2 lpa
18.6 lpa
2022-2023
47 lpa
20.8 lpa
20.7 lpa
2021-2022
62 lpa
17.6 lpa
16 lpa
2020-2021
18.4 lpa
12.99 lpa
13.5 lpa
2019-2020
20 lpa
14 lpa
13.35 lpa
2018-19
16.54 lpa
12.88 lpa
14.8 lpa
2017-18
20 lpa
12.67 lpa
14.8 lpa
2016-17
13.5 lpa
9.75 lpa
9.5 lpa
2015-16
12.5 lpa
8.75 lpa
8.5 lpa
2014-15
9.25 lpa
7.75 lpa
7.5 lpa
The M.Sc. Data Science program was started in 2018. The students admitted have now completed the first year and all of them found three month summer internships in the industry, for the duration of May-July 2019.
Stipend offered: Average Rs,39,000 per month. Ranging from Rs.16,000 to Rs.80,000 per month.
Roles: risk analyst, business analyst, data analyst, ai/ml intern, computer vision.
Companies interested is conducting campus
interviews at CMI for permanent jobs or
internships can write to
After the initial contact, the company can
send a job description, which is circulated
among the students. If a reasonable number of
students show interest within a week, the
company will be informed. If necessary, we can
collect CVs of interested candidates and send
them beforehand. We typically give around one
week time for the students to give us their
latest CV. A date is then fixed for conducting
the campus interview.
On the day of the campus interview, company
representatives can give a pre-placement talk
and conduct written tests and interviews.
After we receive the list of selected
candidates, we give one week time to convey
acceptance of the offers.
Following is the timeline for the first round
of placements.
By August, initial contact
and job descriptions.
By September, we will
share profiles of interested
candidates and companies can shortlist
candidates.
By October, campus
interviews are conducted
and final selections made.
If you miss the above deadlines, we will have
more schedules later. Please do
not hesitate to write to us.
Facilities provided
A presentation hall will be provided for
making pre-placement talks. Written tests
can be conducted in the same hall. A
computer lab with linux desktops is
available for on-line tests. Office rooms
for conducting personal interviews will be
provided. CMI uses the Reculta
platform for streamlining placements
processes.
