Interdisciplinary Dual Degree Program

Program Overview

Undergraduate students pursuing a B.Tech. / B.S. / DD (B.Tech. / B.S. + M.Tech. / M.S.) degree at IIT Bombay can pursue an additional one year of PG-level courses and a year-long project in Healthcare Informatics to earn a masters' degree in "Healthcare Informatics" along with their B.Tech. / B.S. degree in dual degree mode.


Eligibility Criteria

As per the IDDD norm of IITB, under-graduate students pursuing a B.Tech. / B.S. / DD (B.Tech. / B.S. + M.Tech. / M.S.) degree in an academic unit at IIT Bombay with CPI > 7.5 at the end of sixth semester can apply. The applications would be screened first at the DUGC of the home academic unit of the applicants and subsequently, by a select academic committee of KCDH.

The applicant is also required to identify through mutual discussion a faculty member associated with KCDH as a supervisor for the dual degree project (DDP). Prior consent from the concerned faculty member is essential for the IDDD application.

The final decision will be based on CPI, consent from an associated faculty who agrees to serve as the DDP supervisor, statement of purpose, and/or interviews. The centre will make the admission decisions before the start of placements in the seventh semester.

A student, selected for IDDD in KCDH for a master’s in "Healthcare Informatics", will not be eligible for a minor degree in Healthcare Informatics.


Background Needed

CS 101 and IC 102 courses or equivalent courses provides adequate background to students interested in the IDDDP. There is no requirement for a biology course. The core course associated with the IDDDP will equip students with the required knowledge in healthcare/biology.


Curriculum Structure

  • A PG level core course on DH 302: Introduction to Public Health Informatics (new course, 6 credit) is to be completed by the 7th or 8th semester (depending on the offering of the course)
Course Code Course Name Credits Department/Center
DH 302 Introduction to Public Health Informatics 6 KCDH
  • Three more PG level elective courses are to be completed out of the three groups
Group 1: Healthcare Standards, Clinical Applications & Healthcare Foundation
Course Code Course Name Credits Department/Center
CL 662 Introduction to Computational Biology 6 Chemical Engineering
BB 663 Medical Imaging Physics 3 Biosciences and Bioengineering
BB 627 Medical Imaging Methods 3 Biosciences and Bioengineering
BB 603 Physiology for Engineers 6 Biosciences and Bioengineering
BB 626 Modeling Biological Systems and Processes 6 Biosciences and Bioengineering
DH 301 Basic Epidemiology 6 KCDH
BB 607 Proteomics: Principles and Techniques 6 Biosciences and Bioengineering
ME6114 Joint Biomechanics 6 Mechanical Engineering
BB 624 Microfluidics: physics and applications 6 Biosciences and Bioengineering
BB 656 Introduction to Mechanobiology 6 Biosciences and Bioengineering
Group 2: Healthcare Analytic
Course Code Course Name Credits Department/Center
SI 528 Biostatistics 6 Mathematics
CS 736 Medical Image Computing 6 Computer science and Engineering
EE 769 Introduction to Machine Learning 6 Electrical Engineering
IE 615 Data Analytics in Operations Research 6 Industrial Engineering and Operational Research
Healthcare Performance Metrics 6 KCDH
DH308 Clinical Data Management 6 KCDH
CS 419 Introduction to Machine Learning 6 Computer Science Engineering
DS 303 Introduction to Machine Learning 6 Centre for Studies In resources Engineering
CS 754 Advanced Image Processing 6 Computer Science Engineering
CS 769 Optimization in Machine Learning 6 Computer Science Engineering
Group 3: Health Systems & Policy & Ethics.
Course Code Course Name Credits Department/Center
PS 619 Health Policy: An Introduction 6 Continuing Education Program
IE 709 IEOR for Health Care 6 Industrial Engineering and Operational Research
HS 633 Econometrics of Programme Evaluation 6 Humanities and Social Science
DH304 Economics of Health Care 6 KCDH
  • Every student must credit courses from at least two of the groups. The courses under these groups includes specialized courses offered by the faculty members associated with KCDH and approved by the suitable academic committee of KCDH.
  • Students must complete at least 2 electives by the 8th semester and the third elective latest by the 9th semester.
  • Students must complete two stages of the Dual Degree Project as per the IITB norm.

Credit Structure

Semester Course Name Credits
Sem 7-8 PG Core 1: Introduction to Public Health Informatics 6
PG Electives 1 and 2 (or 1,2,3) 12 or 18
Sem 9 PG Elective 3 (if not completed) 6 or 0
DDP Stage 1 36
Sem 10 DDP Stage 36
Total credit 96

Table: Credit Structure for master’s in healthcare informatics as part of IDDDP in KCDH

The master's degree offered by KCDH is WITHOUT HONORS as students would be completing only four PG-level courses. This is as per Rules 2.4(b) and 2.4(c) of institute guidelines on the IDDD program. However, as per rules C(d) and C(e), the KCDH may prescribe additional prerequisite courses over and above those discussed above if an incoming student is deemed to require them. These will be determined by the DPGC and informed to the student in advance.


Courses offered in Autumn 2021-22

Course Code Course Name Instructor Prerequisite
DH 302 Introduction to Public Health Informatics Ganesh Ramakrishnan BB101
DH 301 Basic Epidemiology Siuli Mukhopadhyay None
BB 663 Medical Imaging Physics Debjani Paul None
BB 627 Medical Imaging Methods Hari Varma None
PS 619 Health Policy: An Introduction Arnab Jana None
BB 607 Proteomics: Principles and Techniques Sanjeeva Srivastava BB101

Courses offered in Spring 2021-22

Course Code Course Name Instructor Prerequisite
DH 304 Economics of Health Care Prof. Souvik Banerjee NA
DH 308 Clinical Data Management Dr. Nirmal Panjabi NA
IE 709 IEOR for Health Care Prof. Ashutosh Mahajan NA
CS 419 Introduction to Machine Learning Prof. Abir De NA
DS 303 Introduction to Machine Learning Prof. Biplab Banerjee NA
ME6114 Joint Biomechanics Prof. Darshan Sha NA
BB 624 Microfluidics: physics and applications Prof. Debjani Paul NA
BB 656 Introduction to Mechanobiology Prof. Shamik Sen NA
CS 736 Medical Image Computing Prof. Suyash Awate NA
CS 754 Advanced Image Processing Prof. Ajit V. Rajwade NA
CS 769 Optimization in Machine Learning Prof. Ganesh Ramakrishnan NA

Students Testimonials

  • Chirag Raju

    "My interest in mathematics, statistics and fascination towards medicine led me to enrol for IDDDP at KCDH. I am fascinated by the medical datasets, genome datasets, epidemiological datasets, and high resolution images"

    IDDDP Student, 2018-23, KCDH
    - Chirag Raju

  • Atharv Savarkar

    "Major motivation for me to pursue IDDDP in Healthcare Informatics was interesting projects. At KCDH, projects are application oriented and can be implemented in real world."

    IDDDP Student, 2018-23, KCDH
    - Atharv Savarkar


IDDDP Projects 2021-22


Proposed IDDDP Projects 2022-23


FAQs on IDDDP


Insights on IDDDP Program by the KCDH Professors