General Recommendations:

For the DH minor only the DH 302 (Introduction to Public Health Informatics) is compulsory. The courses are divided into three categories Group 1 (general BB, DH, ME), Group 2 (CS, EE), Group 3 ( HS, PS). Every student must take credit courses from at least two of the groups. 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. Do check the official website for the group of courses and plan accordingly.

3rd Semester:

• DH 301 Basic Epidemiology
• CS 419 Introduction to Machine Learning (DH elective)

4th Semester:

• DH 302 Introduction to Public Health Informatics
• DS 303 Introduction to Machine Learning (DH elective)

5th Semester:

• BB 633 Movement Neuroscience (DH elective)
• BB 603 Physiology for Engineers (DH elective)
• CL 662 Introduction to computational Biology (DH elective)
• DH 607 Introduction to Computational Multi-omics

6th Semester:

• DH 304 Economics of Healthcare
• BB 626 Modeling Biological Systems and Processes (DH elective)
• BB 624 Micro fluids: physics and application (DH elective)

7th Semester:

• DH 803 Wearable health technologies (DH elective)
• DH 804 Magnetic Resonance Imaging: From Physics to Physiology (DH elective)
• ME 781 Statistical Machine Learning and Data Mining (DH elective)
• PS 619 Health Policy: An Introduction (DH elective)
• RnD/SLP/BTP (DH elective)

8th Semester:

• IE 709 IEOR for Healthcare (DH elective)
• DH 804 Magnetic Resonance Imaging: From Physics to Physiology (DH elective)
• RnD/SLP/BTP (DH elective)