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
Sem 7-8	PG Electives 1 and 2 (or 1,2,3)	12 or 18
Sem 9	PG Elective 3 (if not completed)	6 or 0
Sem 9	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 Spring 2022-23

Course Code	Course Name	Instructor	Prerequisite
BB 640	Biologics	Prof. Ashutosh Kumar	NA
SL 422	Regression Analysis (8)	Prof. Siuli Mukhopadhyay	SI 427 (Exposure) (For students from other departments, instructor’s permission will be required)
HS 638	Financial Econometrics	Prof. Puja Padhi	NA
ME6114	Joint Biomechanics	Prof. Darshan Shah	NA
BB 624	Microfluidics: Physics and Applications	Prof. Debjani Paul	NA
CS796	Optimization in Machine Learning	Prof. Ganesh Ramakrishnan	NA
SC 647	Topological Methods in Control and Data Science	Prof. Debasish Chatterjee	Systems theory at the level of SC625 / SC301 or equivalent is necessary
BB 625	Motor Control in Health and Disease	Prof. Neela Kanekar	NA
SOM 744	Multivariate "Data Analysis"	Prof. Usha Ananthkumar	NA
DH 899	Communication Skills	Dr. Kshitij Jadhav	NA
DH 307	R&D Project	Dr. Kshitij Jadhav	NA
DH 308	Clinical Data Management	Prof. Nirmal Punjabi	NA
DH 304	Economics of Health Care	Prof. Souvik Banerjee	HS 101

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

Students Testimonials

"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
"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

View Projects

Proposed IDDDP Projects 2022-23