IDDD Data Science

In today’s data-driven world, with information pouring in from countless fields, the lines between disciplines are blurring. Recognizing this, the Interdisciplinary Dual Degree in Data Science (IDDD-DS) program at IIT Madras bridges the gap, empowering students from any BTech background to leverage the power of data science and enhance their core research areas.

IIT Madras’s IDDD-DS program stands out as a one-of-a-kind 5-year dual degree opportunity for BTech students. Starting in their 6th semester, students can delve into the world of data science while still pursuing their primary discipline. The program boasts diverse faculty from the School and also other departments, ensuring a comprehensive curriculum and research collaborations with various Centres affiliated with the school. This flexibility allows students to tailor their studies, specializing in specific applications or strengthening their foundational knowledge.

IIT Madras’ IDDD-DS program bridges the gap between Data Science and diverse disciplines. Open to B.Tech students from any field, this 5-year program starting in semester 6 offers:

  • Interdisciplinary learning: Courses taught by faculty from various departments
  • Exciting industry and socially relevant research projects: Work with researchers across campus in various research centres and the school, on cutting-edge research projects
  • Tailored learning paths: Specialize in application areas or delve deeper into fundamentals, by tailoring your electives
  • Dual degree advantage: Earn a B.Tech degree in your field and a Master’s in Data Science

More details: https://ioe.iitm.ac.in/program/data-science/

Detailed Curriculum: (160 credits)

Semester 6 (12 credits)
Course NumberCourse NameLTEPOTotal Credits
DA5000Mathematical Foundations of Data Science4000812
Semester 7 (27 credits)
Course NumberCourse NameLTEPOTotal Credits
DA5400Foundations of Machine Learning4000812
DA5401Data Analytics Laboratory100326
Elective 19
Semester 8 (36 credits)
Course NumberCourse NameLTEPOTotal Credits
DA5402Machine Learning Operations Lab4000812
Elective 24000812
Elective 34000812
Summer (20 credits)
Course NumberCourse NameLTEPOTotal Credits
ID5490Project-I00002020
Semester 9 (30 credits)
Course NumberCourse NameLTEPOTotal Credits
ID5491Project-II00003030
Semester 10 (35 credits)
Course NumberCourse NameLTEPOTotal Credits
ID5492Project-III00003535
List of pre-approved electives
Course NumberCourse Name
BT5240Computational Systems Biology
BT5450Data-driven Modeling and Optimization of Bioprocesses
BT6270Computational Neuroscience
BT6320Protein Interactions: Computational Techniques
CE5290Transportation Network Analysis
CE5390Analytical Tech. in Transportation Engg
CE6051Machine Learning in Civil Engineering
CH5020Statistical Design and Analysis of Experiments
CH5170Process Optimization
CH5230Data-driven Modelling of Process Systems
CS5691Pattern Recognition and Machine Learning
CS6023GPU Programming
CS6024Algorithmic Approaches to Computational Biology
CS6046Multi-armed bandits
CS6251Computational Models of Cognition
CS6300Speech Technology
CS6350Computer Vision
CS6370Natural Language Processing
CS6380Artificial Intelligence
CS6464Concepts in statistical learning theory
CS6515Stochastic Optimization
CS6700Reinforcement Learning
CS6770Knowledge Representation & Reasoning
CS6780Algorithmic Game Theory
CS6852Theory and Applications of Ontologies
CS6886Systems Engineering for Deep Learning
CS6910Fundamentals of Deep Learning
ED6001Medical Image Analysis
ED6005Deep Learning for Medical Image Analysis
EE5111Estimation Theory
EE5121Convex Optimization
EE5180Introduction to Machine Learning
EE6112Topics in Random Processes and Concentrations
EE6132Advanced Topics in Signal Processing
EE6150Stochastic Modeling and the Theory of Queues
EE6180Advanced Topics in Artificial Intelligence
EE6418Game Theory with Engineering Applications
ID5130Parallel Scientific Computing
ID6040Introduction to Robotics
MA5750Applied Statistics
CH5440Multivariate Data Analysis for Process Modeling
CH5650Molecular Data Science and Informatics
CH5710Applications of machine learning in reaction engineering
EE5178Modern Computer Vision
EE5179Deep Learning for Imaging
MA5013Applied Regression Analysis
ME6324Artificial Intelligence in Mfg.
EE5176Computational Photography
CS2050Non-Linear Optimization