CMI has made significant contributions to India’s scientific manpower. CMI graduates are now faculty members at premier institutions such as IITs, IISERs, IMSc and CMI, as well as researchers in organizations such as Microsoft Research India.
In recent years, CMI students have taken up careers in sectors that require strong background in mathematics, statistics, computing and machine learning. For instance, they are successfully working in the roles of market liquidity and risk management analysts in finance companies, data scientists in marketing research firms and also research scientists in the R & D sector.
CMI invites representatives from the industry to conduct interviews and select students for offering permanent jobs and internships. More details can be found below and in this brochure.
The programs offered in CMI are listed below.
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 Applications of Mathematics, M.Sc. in Computer Science and B.Sc. (Hons.) in Mathematics & Computer Science.
Campus interviews are being conducted in CMI for several years now. Some of the major recruiters are Credit-Suisse, Ernst & Young, TRDDC. CMI admits around 30-40 students to its B.Sc. programmes every year. Around 10-15 students are admitted to each of the M.Sc. programmes. The statistics for the past few years is as follows:
|2016-17||13.5 lacs per year||9.75 lacs per year||9.5 lacs per year|
|2015-16||12.5 lacs per year||8.75 lacs per year||8.5 lacs per year|
|2014-15||9.25 lacs per year||7.75 lacs per year||7.5 lacs per year|
To complement its long and distinguished history of academic collaborations, CMI has taken active steps to engage with the industry in areas related to 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. CMI is also working with Honeywell Technologies on 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 of solution provider for any industrial problem requiring computational and analytical insight.
Some CMI graduates have created startups.
Companies interested in 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 will collect CVs of interested candidates and send them to the concerned people. We can then fix a date for conducting the campus interview. Through the CMI placement services, each student can accept at most one offer.
On the day of the campus interview, company representatives may choose to give a pre-placement talk and conduct written tests and interviews. After we receive the list of selected candidates, we will allow them a period of one week to convey their acceptance of the offers. Following is the plan for placement week 1.
If you miss the above deadlines, we will have more schedules starting November. Please do not hesitate to write to us.
Joining dates: The academic year ends in April 2018 and the provisional degree certificate will be available by beginning of July. Companies may use this information to decide their policy on joining dates.
A presentation hall will be provided for making pre-placement talks. Office rooms will be made available for conducting interviews.
The faculty at CMI are selected carefully based on their research performance, feedback from existing faculty and from leading researchers around the world. They are committed to imparting the best education to the students and are experts in their field of research. Profile summaries of some of the prominent faculty members are listed below.
Rajeeva L. Karandikar received his B.Sc. from Indore University, Indore (1976), M.Stat. from Indian Statistical Institute, Kolkata (1978) and Ph.D. from Indian Statistical Institute, Kolkata (1981). He has been the Director of CMI since 2011, having joined CMI in 2010 as a Distinguished Professor. Earlier he had been at the Indian Statistical Institute, Delhi (1984-2006), first as an Associate Professor and then as a Professor since 1989. He served as Executive Vice-President at Cranes Software International Limited (2006-2010) before returning to academics. He received the Young Scientist Medal from the Indian National Science Academy in 1985. He is also a recipient of the prestigious Shanti Swarup Bhatnagar prize in mathematical sciences in 1999, awarded by the Council for Scientific and Industrial Research (CSIR) and the National Award in Statistics presented by the Ministry of Statistics and Programme implementation, Government of India. He has been awarded the P.C. Mahalanobis Gold medal by the then Prime Minister Dr. Manmohan Singh at the Indian National Science Congress in February 2014. He is a fellow of the Indian Academy of Sciences and the Indian National Science Academy. He has made fundamental contributions to the theory of stochastic integration. His work on Pathwise Formulae has gained prominence in the application of stochastic calculus to mathematical finance. He made significant contribution in the framework of finitely additive probability theory and proved limit theorems in the framework. He also worked on White noise in finitely additive framework and its applications to filtering theory. His work on Martingale problems and invariant measures for underlying Markov processes is considered a major development in this area and is instrumental in proving uniqueness of solutions to certain infinite dimensional stochastic differential equations.
He has been active in applications of mathematical ideas in various domains. He has developed proprietary Block Cipher algorithms for the Indian defence establishment. He is a well known psephologist, and has been active in analysis of opinion polls for the last 20 years.
Madhavan Mukund received his B.Tech. (Computer Science and Engineering) from the Indian Institute of Technology, Bombay (1986) and his P.hD. (Computer Science) from Aarhus University, Aarhus, Denmark (1992).
Madhavan is a Professor and Dean of studies at CMI. His research interests include models for concurrent and distributed systems, formal verification and distributed algorithms. He has made fundamental contributions to the theory of distributed automata as well as to the development of temporal logics interpreted over partial orders.
He currently heads two major organizations promoting Computer Science research in India. He is the President of both the ACM India Council and the Indian Association for Research in Computing Science (IARCS).
He has made notable contributions to Computer Science education in India, both at the school level and at the university level.
He has been the National Coordinator of the Indian Computing Olympiad (ICO) since 2002. ICO is a school level algorithmic programming contest that is used to select and train the Indian team for International Olympiad in Informatics (IOI). He has also served as Executive Director of IOI from 2011-2014.
He has contributed multiple online courses on algorithms, data structures and programming to the NPTEL platform. These courses have benefited thousands of college students and professionals across the country over multiple offerings from 2015 to 2017.
K.G. Arun received his B.Sc.(Physics) from Calicut University, Calicut (1998), M.Sc. (Physics) from Cochin University of Science and Technology (2001) and P.hD. (Physics) from Raman Research Institute, Bangalore.
He has been a Postdoctoral Research Associate, Washington University in St. Louis (2009-2010) and VESF Fellow, LAL Orsay & IAP, Paris (2007-2009).
His research interests are Gravitational Wave Astrophysics, Modelling compact binaries, High energy Astrophysics and Cosmology, Tests of General Relativity and Alternative theories of gravity. He has made significant contribution towards understanding the dynamics of compact binaries using post-Newtonian formalism within General Relativity and computed gravitational waveforms which are widely employed in data analysis algorithms, various science case studies and comparison of analytical and numerical relativity waveforms.
He devised a novel test of strong-field gravity using gravitational wave observations of compact binaries which, in a Bayesian inference framework, was applied on the two GW signals detected during the first observation run of LIGO and yielded the first ever constraints on deviations from GR in the highly nonlinear, dynamical and radiative gravity regime.
He is an active member of the LIGO Scientific Collaboration which made the historic detection of gravitational waves from binary black holes last year. He contributed directly to the analysis and interpretation of the first detection of gravitational waves by the LIGO detector quantifying consistency of the observed signal with the predictions of General Relativity.
He shared the Special breakthrough prize in Fundamental Physics (2016), Gruber prize in Cosmology (2016), and Bruno Rossi prize in High energy astrophysics (2017) for the detection of gravitational waves together with the other members of the LIGO Scientific Collaboration. He is also a recipient of the N. R. Sen Award Young Researcher Award (2017) of the Indian Association for General Relativity and Gravitation (IAGRG).
He is a member of the International Astronomical Union (IAU) and an Associate of the International Center for Theoretical Sciences (ICTS), Bangalore.
The objective of this two year masters program is to equip the students with mathematical and programming skills needed to become technical leaders in the corporate world in India and abroad. Students with a bachelors degree in mathematics, statistics, physics, computer science, economics, chemistry or engineering disciplines are eligible for the program. Students are selected through a written entrance exam conducted by the institute, followed by an oral exam.
This program offered at CMI is unique among similar courses such as M.Stat. offered at other institutes. While the main objective of M.Stat. programs is to train students for P.hD. in statistics, the main objective of our M.Sc. program in applications of mathematics is to impart mathematical and programming skills needed for technical corporate careers. All the courses of M.Stat. are mainly probability and statistics oriented. However, our courses are a mix of mathematics, statistics and computer science. We offer courses like programming techniques with Python, discrete mathematics, algorithms, theory of computation and machine learning along with Probability and Statistics with R, Regression and Classification, and Econometrics. This makes our students project- ready right from day one.
This is a four-semester program. The final semester involves presenting a thesis. If a student has completed all other course requirements in the first three semesters, the 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.
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.