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 640 Biologics 3 Biosciences and Bioengineering
BB 603 Physiology for Engineers 6 Biosciences and Bioengineering
BB 626 Modeling Biological Systems and Processes 6 Biosciences and Bioengineering
BB 619 Mathematics for Biologists 6 Biosciences and Bioengineering
DH 301 Basic Epidemiology 6 Koita Centre for Digital Health
TD 617 Healthtech Innovation and Design 6 Centre for Technology Alternatives for Rural Areas (CTARA)
BB 607 Proteomics: Principles and Techniques 6 Biosciences and Bioengineering
BB 645 Drug design and development 3 Biosciences and Bioengineering
BB 656 Introduction to Mechanobiology 3 Biosciences and Bioengineering
BB 624 Microfluidics: Physics and Applications 6 Biosciences and Bioengineering
ME 780 Biofluid Mechanics 6 Mechanical Engineering
ME 410/724 Microfluidics 6 Mechanical Engineering
DH 803 Wearable Health Technologies 6 Koita Centre for Digital Health
Group 2: Healthcare Informatics & Analytics
Course Code Course Name Credits Department/Center
DH 801 Biostatistics in Healthcare 6 Koita Centre for Digital Health
EE 610 Image Processing 6 Electrical Engineering
SI 541 Statistical Epidemiology 6 Mathematics Department
SI 422 Regression Analysis 8 Mathematics Department
CS 736 Medical Image Computing 6 Computer science and Engineering
CS 419 Introduction to Machine Learning 6 Computer science and Engineering Department
EE 769 Introduction to Machine Learning 6 Electrical Engineering
CS 754 Advanced Image Processing 6 Computer Science and Engineering Department
CS 769 Optimization in ML 6 Computer Science and Engineering Department
IE 615 Data Analytics in Operations Research 6 Industrial Engineering and Operational Research
DH 306 Healthcare Performance Metrics 6 Koita Centre for Digital Health
DH308 Clinical Data Management 6 Koita Centre for Digital Health
CS 663 Digital Image Processing 6 Computer Science Engineering Department
EE 610 Image Processing 6 Electrical Engineering
CS 769 Optimization in Machine Learning 6 Computer Science Engineering Department
CS 725 Foundations of Machine Learning 6 Computer Science Engineering Department
CS 726 Advanced Machine Learning 6 Computer Science Engineering Department
ME 781 Statistical Machine Learning and Data Mining 6 Mechanical Engineering
CS 631 Database Management Systems 6 Computer Science Engineering Department
IE 501 Optimization 6 Industrial Engineering and Operations Research
IE 643 Deep Learning 6 Industrial Engineering and Operations Research
Group 3: Health Systems & Policy & Ethics.
Course Code Course Name Credits Department/Center
PS 619 Health Policy: An Introduction 6 Ashank Desai Centre for Policy Studies
IE 709 IEOR for Health Care 8 Industrial Engineering and Operational Research
HS 633 Econometrics of Programme Evaluation 6 Humanities and Social Science
DH 304 Economics of Health Care 6 Koita Centre for Digital Health
DH 899 Communication Skills 6 Koita Centre for Digital Health
DH 802 Service Operations and Quality Management in Healthcare 6 Koita Centre for Digital Health
ES 899/CM 899 Communication Skills 6
HS 633 Econometrics of Programme Evaluation 6 Humanities and Social Sciences
SOM 633 Quality Management 3 SJM School of Management
HS 638 Financial Econometrics 6 Humanities and Social Sciences
HS 426 Theory and Policy of Managerial Finance 6 Humanities and Social Sciences
  • 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 2022-23

Course Code Course Name Instructor Prerequisite
BB 663 (FH) Medical imaging physics Prof. Debjani Paul NA
BB 627(SH) Medical imaging methods Prof. Hari Varma NA
BB 603 Physiology for engineers Prof. V.P.Soni* + Prof. Nivethida T. NA
BB 619 Mathematics for Biologists Prof. Sushil Kumar NA
BB 645 (FH) Drug Discovery and Development Prof. Ashutosh Kumar NA
EE 610 Image processing Prof. Amit Sethi NA
SI 541 Statistical Epidemiology Prof. Siuli Mukhopadhyay NA
DH 803 Wearable Health Technologies Dr. Nirmal Punjabi NA
DH 302 Introduction to Public Health Informatics Prof. Ganesh Ramakrishnan NA
BB 640 Biologics Prof. Ashutosh Kumar NA
SI 422 Regression Analysis Prof. Siuli Mukhopadhyay SI 427 (Exposure) (For students from other departments, instructor’s permission will be required)
ES 899/CM 899: Communication Skills Harish C. Phuleria NA
HS 633 Econometrics of Programme Evaluation Prof. Rama Pal Background in statistic/ econometrics
SOM 633 Quality Management Prof. Indrajit Mukherjee Basic Statistics
HS 638 Financial Econometrics Prof. Puja Padhi NA
HS 426 Theory and Policy of Managerial Finance Prof. Puja Padhi Finance and Econometrics knowledge is necessary
CS631 Database Management Systems Prof. Sudarshan Must have done a basic course in databases either as part of curriculum or online, which covers  relational databases, SQL, functional dependencies and normalization at a minimum, and read up on other material on your own.
IE501 Optimization Prof. KS Mallikarjuna Rao NA

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