Data Science for Decision Making
Strategic Decision-Making Through Data Science
Program Started 25th May, 2024
Access the e-Masters class website [DSDM-2024] for enrolled students.
Application closed for May 2024 session
e-Masters in Data Science for Decision Making
“Empowering Decisions with Data Excellence.”
The e-masters in Data Science for Decision Making (DSDM) program at the Indian Institute of Technology, Gandhinagar, represents a pioneering endeavor in data science education. In an age marked by remarkable advances in data sciences, there remains a formidable challenge – effectively translating this knowledge into informed decision-making. It is here that DSDM emerges as a beacon of innovation and insight. Our program is meticulously crafted to bridge the gap between data science prowess and the art of making strategic decisions. Unlike traditional constraints that often limit educational offerings to specific departments, our curriculum is intentionally inclusive. It is designed to welcome engineers and practitioners from diverse backgrounds. Whether you come from engineering, science, business, or any other field, DSDM offers you a comprehensive and multidisciplinary approach to data science. We believe that true mastery of data science lies not just in its techniques but in its application to drive tangible outcomes. Through rigorous coursework and real-world applications, we aim to equip our students with the tools, skills, and mindset required to navigate this dynamic landscape.
IIT Gandhinagar invites applications to e-Masters programme in Data Science for Decision Making (DSDM) starting in May 2024.
Selection
Based on academic and professional background and interview.
No GATE required.
IITGN Alumni Membership upon Graduation
Become a part of IIT Gandhinagar’s alumni network and reap the associated benefits
Flexible and Interactive Learning
Designed to accommodate your work commitments
Learn from Industry and domain experts
Tailored to address the skill development requirements essential for the decision-making
Mentorship and Placement Support
Access to IITGN placement cell and incubation centre for promising start-ups
Credits Transfer
Waiver of credits for higher education (MTech/PhD) at IIT Gandhinagar.
Programme structure
The e-Masters degree programme structure is as below:
Program Duration: 2 years
Number of Credits: 54 credits
Modules: There are six modules in the program.
Module Duration: Each module lasts for 12 weeks.
The course components breakup typically represents:
| Module | Course type and Numbers | Total number of courses | Credits |
| 1 |
1-Foundation 1-Core |
2 | 8 |
| 2 |
1-Foundation 1-Core 1-HSS |
3 | 10 |
| 3 |
2-Core 1-HSS |
3 | 10 |
| 4 | 2-Core | 2 | 8 |
| 5 |
2-Core 1-Project |
3 |
10 |
| 6 |
1-Core 1-Project |
2 | 8 |
| Total | 15 | 54 |
Application Process
- Candidate has to register on the IITGN Postgraduate Admission Portal https://admissions.iitgn.ac.in/pgadmission/login using their email address. After successfully registering, you will receive an auto-generated email to the address you provided. This email will contain your login credentials, such as your username and password.
- All applications must be submitted online. On submission of the application form, the candidate will be redirected to the homepage of the portal, where they can download the form. The applicants are requested to download the form and keep a copy with them.
- A mail to the candidate regarding the details of the application and a link to download the application form is sent after the submission. You NEED NOT send the hard-copy of the application form.
- While applying online you need to upload your resume, Bachelors or Master’s Degree in the relevant domain, 12th mark sheet, Work experience (if any) or any other supporting document.
- Incomplete applications will be rejected.
Eligibility
- A graduate degree in a relevant field, such as (Statistics/ Mathematics /Computer Science/ Engineering/Technology/ Science/ Economics/Commerce) with a minimum of 60% marks or 6.0/10 CPI.
- Candidates must have taken Mathematics in grade 12.
Admission Procedure
- Admission is generally offered on the basis of an interview and if required, a written test may complement the selection process.
- The final selection of candidates is primarily based on their academic credentials, the results of the written test (if applicable), and their performance in the interview.
- The Institute reserves the right to use its own judgment while determining the candidate’s level of competency based on the available information.
- Interviews will be conducted via online platforms, and specific details regarding the online interview process will be communicated to the candidates at a later time.
Programme fee
Application fee ₹1000 (to be paid during application submission)
Fee structure for candidates opting to complete the program
| Details | Amount (in INR) |
|
Registration Fee To be paid within 2 weeks of the selection. |
₹1,50,000 |
|
Tuition Fee To be paid at the beginning of every module (Will be notified on the website) Module 1: 1,00,000 |
₹6,75,000 |
| Total Fees | ₹8,25,000 |
Important Dates
Class Start – May, 2024
For further information, you may email us at admission@iitgn.ac.in.
Contact us + 91 79 2395 2196/97, 7069021574
A meticulously developed curriculum, crafted by the subject matter experts from IIT Gandhinagar to bridge the gap between data science prowess and the art of making strategic decisions. This curriculum seamlessly integrates in-depth theoretical knowledge with extensive practical application to nurture expertise effectively.
Mathematical Models for Data Science
Advanced Probability and Statistics
Programming for Data Science
Time Series Analysis
Optimization for Data Science and Machine Learning
Risk and Decision Analysis
Machine Learning for Predictive Analysis
Spatial Data Science and Applications
Advanced Data Visualization Techniques
Big Data Modeling and Management Systems
Generative AI with Large Language Models
Projects Course - I
Projects Course - II
Writing and Leadership
For the detailed Curriculum, please write an email to iitgnx@iitgn.ac.in
Learning Format
- Live online sessions and self-paced learning sessions
- Engaging in sessions with both academic and Industry experts
- Assessment through multiple quizzes, problem-solving exercises, and viva voce
- Presentations on the assigned case studies.
- Opportunity to meet the experts during IIT Gandhinagar campus visit
Faculty
Udit Bhatia
DSDM Coordinator (Assistant Professor, Civil Engineering)
BTech: National Institute of Technology Hamirpur, 2012
MS: Northeastern University, 2016
PhD: Northeastern University, 2018
Email: bhatia.u@iitgn.ac.in
About: I am serving as an Assistant Professor, Indian Institute of Technology, Gandhinagar (2019 to present). I have been the Graduate Research Assistant, Northeastern University (2014 to 2018) and Design Engineer(A), MECON Limited, Ranchi (2012 to 2014)
Research Interests
Critical infrastructure resilience, Network science, Ecological dynamics, Machine learning, Climate variability and change
Pratyush Dayal
IITGN-X Coordinator (Associate Professor, Chemical Engineering)
B.Tech: IIT (BHU) Varanasi, 1998
PhD: University of Akron, 2007
Email: pdayal@iitgn.ac.in
About: I am serving as an Associate Professor of the Chemical Engineering Department, at the Indian Institute of Technology Gandhinagar. I have been Project Engineer in the Indian Petrochemicals Corporation Limited (IPCL) from 1998-2001, Research Assistant in the Department of Polymer Science and Polymer Engineering at University of Akron (2001 to 2007) and Postdoctoral Research Fellow in the Department of Chemical and Petroleum Engineering at University of Pittsburgh (2007 to 2012).
Research Interests
Self-oscillating polymer gels, Structure development in polymer blends and solutions, Polymer processing
K. Chelvakumar
Visiting Professor, Mechanical Engineering
BS: Peradeniya University, Sri Lanka, 1980
MS: California Institute of Technology, 1981
PhD: California Institute of Technology, 1985
MBA: University of California, Irvine, 2005
Email: chelva@iitgn.ac.in
About: I am serving as a Visiting Professor, Mechanical engineering, at the Indian Institute of Technology Gandhinagar (2015 to present). Formerly I was the Assistant Lecturer at Peradeniya University, Sri Lanka (1979 to 1980). and Tenure-track Professor, Carnegie Mellon University (1985 to 1989). Then I served as Adjunct Professor, California State University, Los Angeles & Fullerton Campuses, CA (1983 to 2001), Operating Partner, ReproNet, Los Angeles, CA (1992 to 2000), Controller, St. Francis Medical Center, Lynwood, CA (2001 to 2006), Chief Financial Officer & Corporate Responsibility Officer, Saint Louise Regional Hospital, Gilroy, CA (2006 to 2010), Chairman of the Board of Directors , Caritas Business Services, Redwood City, CA (2007 to 2010), President, EPIR Technologies, Inc., Bolingbrook, IL (2010 – 2015), Currently am the Visiting Professor, University of Jaffna, Sri Lanka (2015 to present)
Research Interests
Solar power: cell physics, panel production, off-shore installations and solar power economics and finance, Finance and management for engineers, Healthcare finance and engineering mechanics
Raj Srinivasan
Associate Professor, Faculty Member in Mathematics & Statistics
B.Sc Applied Science from Thiagarajar College of Engineering, Madurai,
MSc in Operations Research from REC Trichy
MSc in Applied Probability from Carleton University, Ottawa, Canada
PhD in Applied Probability from Carleton University, Ottawa, Canada
Email: raj.srinivasan@iitgn.ac.in
About: I am a professor and head of the Department of Mathematics and Statistics at University of Saskatchewan, Canada for fifteen years , and has been collaborating with colleagues from the Indian Institute of Technology, Gandhinagar and MNIT, Jaipur and Banasthali Vidyapith for several years. I have served as a consultant to AT&T Bell labs, Nortel and Alcatel during the 90’s. I have been running the Mathematical Contest in Modelling (MCM) at various Indian universities since 2013.
Research Interests
In the area of Applied Probability and Stochastic Modelling and in particular, application of queueing and queueing network models to performance evaluation of telecommunication networks. My current research interests include call center modelling and managing airport queues.
Nuno Guimarães
Scholar-in-Residence
Bachelors: Electrotechnical Engineering at Instituto Superior Técnico (IST/UTL), Lisbon, Portugal (1983)
Masters: Master of Sciences, Electrotechnical and Computer Engineering, IST, Lisbon, Portugal (1987)
PhD: Electrotechnical and Computer Engineering, IST, Lisbon, Portugal (1992)
Email: nuno.guimaraes@iitgn.ac.in
About: I was a Professor at ISCTE-University Institute of Lisbon (since 2012). I was also a Professor at IST/UTL (1992/1997) and Faculty of Sciences of the University of Lisbon (1997/2012). I have also served as an Invited Professor at the Technische Universität Berlin, Germany (2010). I have also been a Visiting scholar at the Indian Institute of Technology Gandhinagar, India (2014 and 2019). Served as a Consultant for AT&T Bell Labs, Murray Hill, NJ, USA (1989-1991). I have been the Dean of the Faculty of Sciences of the University of Lisbon (2003-2009),Pro- and Vice Rector of ISCTE-University Institute of Lisbon (2012-2018), Member of the board and founder of several startup IT companies (1999 to 2006), Senior Member of ACM (Association for Computing Machinery) since 2012, Chair of the Portuguese Chapter of the Internet Society since 2021
Research Interests
Human Computer Interaction, User Experience, Digital Society Challenges, Law and Technology
Nipun Batra
Assistant Professor, Computer Science & Engineering
BE: Delhi College of Engineering, 2011
PhD: IIIT Delhi, 2017
Email: nipun.batra@iitgn.ac.in
About: I am an Assistant Professor in Computer Science at IIT Gandhinagar. I have previously completed my postdoc from University of Virginia. I completed my PhD. from IIIT Delhi where I was a TCS PhD fellow. My broad work was on machine learning/AI/sensors/IoT for computational sustainability problems like smart buildings and air quality.
My work has been awarded several awards, including, the best PhD presentation at ACM Sensys, best demo at ACM Buildsys, and a best video nominee at ACM KDD.
Research Interests
Sensor networks, Machine learning and Computational sustainability
Mayank Singh
Assistant Professor, Computer Science & Engineering
BTech: Indian Institute of Technology Jodhpur, 2012
PhD: Indian Institute of Technology Kharagpur, 2019
Email: singh.mayank@iitgn.ac.in
About: I am an Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Technology, Gandhinagar. I joined IITGN as Assistant Research Professor on 2nd July 2018. Currently, I am leading the Computational Linguistics and Complex Social Networks Group (LINGO).
Research Interest
Text mining, Natural language and processing, Machine learning, Network science, Information retrieval