Program Overview

Digital Innovation MDI

The Digital Innovation MDI program is designed to train students in the world of health informatics, giving them the skills to develop and use information technology to create a better healthcare system.

Program Overview

The program consists of four terms:

• Term 1: 2 foundation courses + 1 elective or certificate course
• Term 2: 1 required course + 2 elective or certificate courses
• Term 3: DGIN 7000: Internship (internship students) or DGIN 9000: Master's Thesis (thesis students)
• Term 4: DGIN 5001: Capstone (internship students) or DGIN 5002: Research Methods (thesis students) + 2 elective or certificate courses

Customizing Your Degree

Although all MDI students follow a required program outline, they can create their own degree with a wide variety of elective options that support the Certificate in Health Informatics.

Required Courses

Students must take two of the following courses, assigned by the graduate committee based on academic background and goals:

• DGIN 5100 Foundations in Web Technologies: This hands-on course examines the technologies and infrastructure required to support digital innovation.
• DGIN 5200 Foundations in Business: The overall aim of this course is to develop a high-level understanding of the dynamics of innovation.
• DGIN 5300 Law, Policy, and Ethics in Emerging Technologies: This course offers students an introduction to foundational legal, policy, and ethical issues raised by emerging technologies.
• DGIN 5400 Statistics for Health Informatics: This course covers essential statistical methods for medical research.

Core Courses

The following core course is required:

• DGIN 5201 Digital Transformation: This core digital innovation course focuses on the design and management of digital innovation projects.

Additional Core Courses

Students must take one of the following core courses:

• DGIN 5001 Capstone in Digital Innovation: This course requires students to apply principles of Digital Innovation holistically to a concrete problem.
• DGIN 5002 Research Methods: This class will provide Master of Digital Innovation thesis students with an understanding of the principles of empirical science.

Health Informatics Courses

All health informatics students complete the following electives:

• HINF 6101 Health Information Flow and Use: This course tracks the flow and use of health information in relation to population and individual health needs.
• HINF 6110 Health Information Systems and Issues: This course is about health infostructures and their strengths and weaknesses.
• HINF 6230 Knowledge Management for Health Informatics: The goal of this course is to characterize healthcare knowledge and to examine the technical issues related to the development and deployment of knowledge management solutions.

Elective Courses

Students can choose two elective courses from the following:

• HINF 6020 Research Methods: This course explores the logic and principles of research design, measurement, and data collection.
• HINF 6102 Health Information Standards and Use: This seminar course discusses technical and philosophical issues related to the capture and use of information.
• HINF 6210 Databases and Data Mining for Health Informatics: This course provides a conceptual understanding of various data mining algorithms and introduces healthcare-related data mining strategies.
• DGIN 5401 Operationalized Machine Learning in Healthcare: This course provides a broad overview of machine learning and machine learning operations in healthcare contexts.