Minor Program

Program Overview

Under-Graduate students from any department or school of the institute (e.g. Electrical Engineering, School of Management, Industrial Design Centre, etc.) can earn a minor degree in Healthcare informatics from KCDH, by earning 30 credits (equivalent to five full-semester courses, each of 6 credits)


Curriculum Structure

  • In total 30 credits (equivalent to five full-semester courses, each of 6 credits) are to be completed.
  • The course DH 302: Introduction to Public Health Informatics (6 credit) is mandatory.
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
BB 603 Physiology for Engineers 6 Biosciences and Bioengineering
BB 607 Proteomics: Principles and Techniques 6 Biosciences and Bioengineering
BB 619 Mathematics for Biologists 6 Biosciences and Bioengineering
BB 624 Microfluidics: Physics and Applications 6 Biosciences and Bioengineering
BB 626 Modeling Biological Systems and Processes 6 Biosciences and Bioengineering
BB 627 Medical Imaging Methods 3 Biosciences and Bioengineering
BB 633 Movement Neuroscience 6 Biosciences and Bioengineering
BB 640 Biologics 3 Biosciences and Bioengineering
BB 645 Drug design and development 3 Biosciences and Bioengineering
BB 656 Introduction to Mechanobiology 3 Biosciences and Bioengineering
BB 663 Medical Imaging Physics 3 Biosciences and Bioengineering
CL 662 Introduction to Computational Biology 6 Chemical Engineering
DH 301 Basic Epidemiology 6 Koita Centre for Digital Health
DH 803 Wearable Health Technologies 6 Koita Centre for Digital Health
ME 724 Essentials of Turbulence 6 Mechanical Engineering
ME 780 Biofluid Mechanics 6 Mechanical Engineering
TD 617 Healthtech Innovation and Design 6 Centre for Technology Alternatives for Rural Areas (CTARA)
Group 2: Healthcare Informatics & Analytics
Course Code Course Name Credits Department/Center
CS 419 Introduction to Machine Learning 6 Computer Science & Engineering
CS 631 Implementation Techniques for Relational Database Systems 6 Computer Science & Engineering
CS 663 Digital Image Processing 6 Computer Science & Engineering
CS 725 Foundations of Machine Learning 6 Computer Science & Engineering
CS 726 Advanced Machine Learning 6 Computer Science & Engineering
CS 736 Medical Image Computing 6 Computer Science & Engineering
CS 754 Advanced Image Processing 6 Computer Science & Engineering
CS 769 Optimization in Machine Learning 6 Computer Science & Engineering
DH 306 Healthcare Performance Metrics 6 Koita Centre for Digital Health
DH 308 Clinical Data Management 6 Koita Centre for Digital Health
DH 801 Biostatistics in Healthcare 6 Koita Centre for Digital Health
DS 303 Introduction to Machine Learning 6 Centre for Machine Intelligence and Data Science
EE 610 Image Processing 6 Electrical Engineering
EE 769 Introduction to Machine Learning 6 Electrical Engineering
GNR 652 Machine Learning for Remote Sensing 1 6 Centre of Studies in Resources Engineering
IE 501 Optimization Models 6 Industrial Engineering and Operations Research
IE 615 Data Analytics in Operations Research 6 Industrial Engineering and Operational Research
IE 643 Deep Learning Theory & Practice 6 Industrial Engineering and Operations Research
ME 781 Statistical Machine Learning and Data Mining 6 Mechanical Engineering
SI 541 Statistical Epidemiology 6 Mathematics
SI 422 Regression Analysis 8 Mathematics
Group 3: Health Systems & Policy & Ethics.
Course Code Course Name Credits Department/Center
DH 304 Economics of Health Care 6 Koita Centre for Digital Health
DH 802 Service Operations and Quality Management in Healthcare 6 Koita Centre for Digital Health
DH 899 Communication Skills 6 Koita Centre for Digital Health
ES 899/CM 899 Communication Skills 6
HS 633 Econometrics of Programme Evaluation 6 Humanities and Social Science
HS 638 Financial Econometrics 6 Humanities and Social Sciences
HS 426 Theory and Policy of Managerial Finance 6 Humanities and Social Sciences
IE 709 IEOR for Health Care 8 Industrial Engineering and Operational Research
PS 619 Health Policy: An Introduction 6 Ashank Desai Centre for Policy Studies
SOM 633 Quality Management 3 SJM School of Management

Group 4: R&D Project

Course Code Course Name Credits Department/Center
DH 307 R&D Project 6 Koita Centre for Digital Health
  • Every student must take 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.
  • An RnD project of 6 credits can be taken in lieu of a full semester course of 6 credits towards the completion of 30 credits to earn the MINOR degree. However, students have to identify and get the consent of a faculty member associated with KCDH to guide him/her for the RnD project.
Reference: Page 36 of the UG Rule book

Course Offered in Autumn 2023 - 24

Course Code Course Name Instructor Prerequisite
BB 607 Proteomics: Principles and Techniques Prof. Sanjeeva Srivastava NA
BB 627 (SH) Medical Imaging Methods Prof. Hari Varma NA
BB 645 (FH) Drug Discovery and Development Prof. Ashutosh Kumar NA
BB 663 (FH) Medical Imaging Physics Prof. Debjani Paul NA
BB 681 Physical Biology at Microscopic scale. Prof. Ambarish Kunwar NA
CS 663 Digital Image Processing Prof. Ajit Rajwade NA
CS 768 Learning with Graphs Prof. Abir De NA
DH 301 Basic Epidemiology Prof. Ganesh Ramakrishnan, Dr. Kalyani Addya & Dr. Sandip Mandal NA
DH 302 Introduction to Public Health Informatics Prof. Kshitij Jadhav NA
DH 307 R&D Project Prof. Ganesh Ramakrishnan NA
DH 803 Wearable Health Technologies Dr. Nirmal Punjabi NA
EE 782 Advanced Machine Learning Prof. Amit Sethi NA
ES 601 Environmental Health and Safety Harish C. Phuleria NA
ES 899/CM 899 Communication Skills Harish C. Phuleria NA
GNR 650 Advanced topics in deep learning for image analysis Prof. Biplap Banerjee NA
Introduction: Yoga and Positive Psychology for Managing career abd life: (NPTEL course) Prof. Ashish Pandey NA