2020-2021 Graduate Bulletin

Health Informatics

Office: University College Student Support Center
Mail Code: 2211 S. Josephine St., Denver, CO 80208
Phone: 303-871-2291, 800-347-2042
Email: ucolsupport@du.edu  
Web Site: http://www.universitycollege.du.edu

Students in Master of Science in Health Informatics will be at the forefront of the health industry, equipped with the technical, communication, and leadership skills needed to thrive in the fastest growing field: informatics. In this master’s degree program, students will learn to leverage health data tools and applications to achieve business and research outcomes within the health sector. Students will work on hands-on informatics projects using real-world data from a curated health data repository built with industry partners. Students will learn to optimize data to support evidence- and value-based results and enhance their knowledge in digital health, informatics, analytics data science, and artificial intelligence to solve the health challenges of our time.

This degree prepares students to:

  • Employ quantitative and qualitative methods to achieve business and research outcomes for health informatics projects
  • Utilize project management skills to operationalize health informatics goals
  • Apply effective communication techniques to create collaborative teams focused on successful implementation of data-driven solutions
  • Identify and solve real-world challenges in the health industry using workflow tools and gap analyses
  • Design sustainable, data-driven business practices to support evidence- and value-based results

Master of Science in Health Informatics with a Concentration in Health Data Informatics and Analytics

The Health Data Informatics and Analytics master's degree concentration is offered online or on campus at the University of Denver in the evenings, or in a combination of both, to meet the needs of busy adults. This degree has a set of core courses addressing healthcare systems and regulatory environments, finance, and communication and leadership. The concentration prepares students for the evolving environment in the health industry focused on healthcare system informatics and analytics. In addition, this concentration presents many opportunities to bridge the divide between field-level and director-level positions related to informatics and analytics within the healthcare delivery system. The program incorporates lessons learned from across the training spectrum, and produces graduates with the necessary skills to create and populate the new mid- and higher-level management positions.

This concentration focuses on three areas of development. First, students develop a solid base of knowledge about healthcare delivery in the U.S. within the framework of the “4 Ps”: Patients/People, Providers, Payers, and Population. This framework allows students to understand both informatics and analytics related to the process of transforming data into information, knowledge, and then insight (DIKI) along the broad scope that exists in the health industry and U.S. healthcare today. Second, students will compare and contrast the similarities and differences between asking and answering research and business questions, as well as demonstrate competencies in this area. Third, students will learn how to collaborate, organize projects, and formulate real-life solutions to existing healthcare industry issues.

This degree prepares students to:

  • Compare how healthcare data is generated, routed, and analyzed within the U.S. healthcare delivery system and the health industry from the perspectives of patients/people, providers, payers, and populations and how these processes affect interoperability
  • Distinguish major, as well as innovative, health information systems as they relate to the perspectives of patients/people, providers, payers, and populations - utilizing both active and passive informatics
  • Appraise healthcare and health industry informatics tools as they relate to the past, present, and future directions of healthcare reform - as well as how these differ from other industries
  • Articulate the ways in which HIPPA regulations and biostatistics principles influence data informatics and analytics
  • Evaluate the impact of data governance challenges, ethical implications, and security issues on stakeholders in healthcare data research, business workflows, and compliance
  • Recommend study and project designs for healthcare informatics and analytics-based case studies incorporating frameworks such as database architecture, data warehousing, natural language processing, and epidemiology
  • Defend the fundamental DIKI process of transforming data to information, knowledge, then insight through integrating disparate public data sets and modeling predictive analytics to create solutions, complete with data visualizations, to healthcare and health industry challenges
  • Develop a professional, actionable implementation, change management, and assessment plan for bringing IT, clinical, engineering, and business individuals together to solve a healthcare industry challenge

Master of Science in Health informatics with a Concentration in Digital Health

The Digital Health master's degree concentration is offered online or on campus at the University of Denver in the evenings, or in a combination of both, to meet the needs of busy adults. This degree has a set of core courses addressing digital health in both the health industry and healthcare delivery systems. Special focus is provided on workflow and gap analysis, finance, and communication and leadership skills required to implement digital health initiatives. The innovative classes in the concentration cover how to reduce costs and improve access to quality healthcare through technologies that comprise the framework of modern interconnected healthcare.

In this master’s degree concentration, students stay at the cutting-edge of emerging health technology, including telehealth, digital health, and virtual health by learning how technology affects and improves diagnosis, treatment, training, patient records, and financial transactions. Students will gain high-level knowledge of the interoperability of healthcare information systems, the benefits and barriers associated with consumer digital health products, and the evolving use of distance medicine.

This degree prepares students to:

  • Assess how technology affects diagnosis, treatment, training, record keeping, financial transactions and data outcome analysis.
  • Compare and contrast emerging trends in medical and digital health technology including electronic health records, telehealth, and virtual health
  • Analyze how technology can help improve quality of consumer/patient care and reduce costs as healthcare moves from a volume-based to value-based system
  • Recommend different ways to facilitate discussion and communication between clinical providers and their counterparts

Master of Science in Health Informatics with a Concentration in Health Data Science

In this masters program, students will learn to leverage health data science tools and applications to achieve business and research outcomes within the health sector. Students will work with real hands-on data science projects using deidentified data from a curated health data repository built with industry partners. Students will learn to optimize data to support evidence- and value-based results and enhance their knowledge in analytics, data science, and artificial intelligence. In addition, virtual reality will be a main method of instructional support throughout this curriculum. Main areas of study will be integrating data platforms in the health and healthcare industries, data mining, machine learning, and reporting.

This degree prepares students to:

  • Assimilate data platforms in the health or healthcare industries to solve health informatics challenges
  • Illustrate health data mining skills to strengthen clinical partnerships and benefit stakeholders
  • Execute healthcare statistical dynamics of machine learning as they relate to health informatics
  •  Compose health data science reporting for relevant health informatics audiences

Certificate in Health Informatics with a Concentration in Health Data Informatics and Analytics

The Health Data Informatics and Analytics certificate is offered completely online to meet the needs of busy adults. This certificate is designed for three principal types of students. This certificate is appropriate for individuals in the health data informatics or analytics field who are currently working beyond their skillset capacity. This certificate seeks to match their skills to the competencies they would like to acquire. These students will benefit from instruction on theory and validation of their on-the-job experiences. Students will also gain additional skills and knowledge in healthcare management through elective coursework. Alternatively, this certificate is appropriate for those who are ready to move to a managerial position and may need a new skillset to make this conversion. Additionally, this certificate is appropriate for individuals with solid business skills looking to transition from another industry into the health industry or healthcare but need support for the move. This certificate will aid in the transition to a health data informatics and analytics position within the healthcare or health industry. To this end, the certificate curriculum is aligned with AHIMA and HIMSS certification specific core objectives. This certificate focuses on three concentrated areas of development. First, students develop a solid base of knowledge about the healthcare delivery in the U.S. within the framework of the “4 Ps”: Patients/People, Providers, Payers, and Population. This framework allows students to understand both informatics and analytics related to the process of transforming data into information, knowledge, and then insight (DIKI) along the broad scope that exists in health industry and U.S. healthcare today. Second, students will compare and contrast the similarities and differences between asking and answering research and business questions. Third, students will learn how to collaborate, organize projects, and formulate real-life solutions to existing healthcare industry issues.

Certificate in Health Informatics with a Concentration in Digital Health

The Digital Health graduate certificate is offered online or on campus at the University of Denver in the evenings, or in a combination of both, to meet the needs of busy adults. This certificate has a set of courses addressing digital health in both the health industry and healthcare delivery systems. Special focus is provided on the finance, communication, and leadership skills required to implement digital health initiatives. The innovative classes in the concentration cover how to reduce costs and improve access to quality healthcare through technologies that comprise the framework of modern interconnected healthcare. Students stay at the cutting edge of emerging health technology, telehealth, digital, and virtual health with this certificate by learning how technology affects and improves diagnosis, treatment, training, patient records, and financial transactions. You'll gain high-level knowledge of the interoperability of healthcare information systems, the benefits and barriers associated with consumer digital health products, and the evolving use of distance medicine.

Certificate in Health Informatics with a Concentration in Health Data Science

In this certificate program, students will learn to leverage health data science tools and applications to achieve business and research outcomes within the health sector. Students will work with real hands-on data science projects using deidentified data from a curated health data repository built with industry partners. Students will learn to optimize data to support evidence- and value-based results and enhance their knowledge in analytics, data science, and artificial intelligence.

Specialized Graduate Certificate in Health Data Informatics and Analytics

The Health Data Informatics and Analytics specialized graduate certificate is offered completely online to meet the needs of busy adults. This certificate is designed for three principal types of students. This certificate is appropriate for individuals in the health data informatics or analytics field who are currently working beyond their skillset capacity. This certificate seeks to match their skills to the competencies they would like to acquire. These students will benefit from instruction on theory and validation of their on-the-job experiences. Alternatively, this certificate is appropriate for those who are ready to move to a managerial position and may need a new skillset to make this conversion. Additionally, this certificate is appropriate for individuals with solid business skills looking to transition from another industry into the health industry or healthcare but need support for the move. This certificate will aid in the transition to a health data informatics and analytics position within the healthcare or health industry. To this end, the certificate curriculum is aligned with AHIMA and HIMSS certification specific core objectives. This certificate focuses on three concentrated areas of development. First, students develop a solid base of knowledge about the healthcare delivery in the U.S. within the framework of the “4 Ps”: Patients/People, Providers, Payers, and Population. This framework allows students to understand both informatics and analytics related to the process of transforming data into information, knowledge, and then insight (DIKI) along the broad scope that exists in health industry and U.S. healthcare today. Second, students will compare and contrast the similarities and differences between asking and answering research and business questions. Third, students will learn how to collaborate, organize projects, and formulate real-life solutions to existing healthcare industry issues.

Specialized Graduate Certificate in Digital Health

The Digital Health specialized graduate certificate is offered online or on campus at the University of Denver in the evenings, or in a combination of both, to meet the needs of busy adults. Certificate courses address digital health in both the health industry and healthcare delivery systems. Special focus is provided on the finance, communication, and leadership skills required to implement digital health initiatives. The innovative classes in the concentration cover how to reduce costs and improve access to quality healthcare through technologies that comprise the framework of modern interconnected healthcare. Students stay at the cutting edge of emerging health technology, telehealth, digital, and virtual health with this certificate by learning how technology affects and improves diagnosis, treatment, training, patient records, and financial transactions. You'll gain high-level knowledge of the interoperability of healthcare information systems, the benefits and barriers associated with consumer digital health products, and the evolving use of distance medicine. Credits earned through this certificate may be applied toward a master's degree in Healthcare Management.

Specialized graduate certificate in health data science

In this specialized certificate program, students will learn to leverage health data science tools and applications to achieve business and research outcomes within the health sector. Students will work with real hands-on data science projects using deidentified data from a curated health data repository built with industry partners.

Master's Degree Admission

Degree and GPA Requirements

  • Bachelor's degree: All graduate applicants must hold an earned baccalaureate from a regionally accredited college or university or the recognized equivalent from an international institution.
  • Grade point average: The minimum undergraduate GPA for admission consideration for graduate study at the University of Denver is a cumulative 2.5 on a 4.0 scale or a 2.5 on a 4.0 scale for the last 60 semester credits or 90 quarter credits (approximately two years of work) for the baccalaureate degree. An earned master’s degree or higher from a regionally accredited institution supersedes the minimum standards for the baccalaureate. For applicants with graduate coursework but who have not earned a master’s degree or higher, the GPA from the graduate work may be used to meet the requirement. The minimum GPA is a cumulative 3.0 on a 4.0 scale for all graduate coursework undertaken.
  • Program GPA requirement: The minimum undergraduate GPA for admission consideration for this program is a cumulative 2.5 on a 4.0 scale.

English Language Proficiency Test Score Requirements

The minimum TOEFL/IELTS/CAE test score requirements for this degree program are:

  • Minimum TOEFL Score (Internet-based test): 80 with minimum of 20 on each sub-score
  • Minimum TOEFL Score (Paper-based test): 550
  • Minimum IELTS Score: 6.5 with minimum of 6.0 on each band score
  • Minimum CAE Score: 176

English Conditional Admission: Master's degree applicants who do not meet the required level of English proficiency may be considered for conditional acceptance if all other admission criteria are met. Prior to enrolling in any graduate-level coursework, English Conditional Acceptance

Master of Science in Health Informatics with a concentration in Digital Health

Core coursework requirements
HINF 4010Health Informatics Communication4
HINF 4020Healthcare Workflow and Gap Analysis4
HINF 4030Healthcare Finance4
HINF 4900Experiential Learning in Health Informatics4
HINF 4901Capstone Project4
Concentration requirements
HINF 4301Foundations of Digital Health 4
HINF 4310Healthcare Information Systems4
HINF 4315Digital and Virtual Health 4
HINF 4325Values and Outcomes in Digital Health 4
HINF 4335Healthcare Cybersecurity 4
Elective requirements (Choose two courses):8
Survey of Health Industry Artificial Intelligence
Data Platforms in Healthcare
Health Data Mining
Healthcare Statistical Dynamics of Machine Learning
Health Data Science Reporting
Healthcare Data and Delivery by Perspective
Healthcare Ethics and Biostatistics
Healthcare Methods and Programming
Healthcare Data Mining, Integration and Interpretation
Healthcare Database Applications
Healthcare Project Management and Professionalism
Total Credits48

Minimum number of credits required: 48

Students may choose from the elective options above, or they may work with their advisor to choose electives.  

A satisfactory quality of achievement with a grade point average of “B” (3.0) or better is required in graduate coursework accepted for the degree. The average is determined on the basis of the University’s grading system. In no case, may more than one-fourth of the hours accepted toward the degree be of “C” grade. A grade lower than “C” renders the credit unacceptable for meeting degree requirements. Students must earn a grade of B- or better in the Capstone Project.

Master of Science in Health Informatics with a concentration in Health Data Informatics and Analytics

Core coursework requirements
HINF 4010Health Informatics Communication4
HINF 4020Healthcare Workflow and Gap Analysis4
HINF 4030Healthcare Finance4
HINF 4900Experiential Learning in Health Informatics4
HINF 4901Capstone Project4
Concentration requirements
HINF 4600Healthcare Data and Delivery by Perspective4
HINF 4610Healthcare Ethics and Biostatistics4
HINF 4620Healthcare Methods and Programming4
HINF 4630Healthcare Data Mining, Integration and Interpretation4
HINF 4640Healthcare Database Applications4
HINF 4650Healthcare Project Management and Professionalism4
Elective requirements (Choose one course):4
Survey of Health Industry Artificial Intelligence
Data Platforms in Healthcare
Health Data Mining
Healthcare Statistical Dynamics of Machine Learning
Health Data Science Reporting
Foundations of Digital Health
Healthcare Information Systems
Digital and Virtual Health
Values and Outcomes in Digital Health
Healthcare Cybersecurity
Total Credits48

Minimum number of credits required: 48

Students may choose from the elective options above, or they may work with their advisor to choose electives.  

A satisfactory quality of achievement with a grade point average of “B” (3.0) or better is required in graduate coursework accepted for the degree. The average is determined on the basis of the University’s grading system. In no case, may more than one-fourth of the hours accepted toward the degree be of “C” grade. A grade lower than “C” renders the credit unacceptable for meeting degree requirements. Students must earn a grade of B- or better in the Capstone Project.

MASTER of SCIENCE IN HEALTH INFORMATICS WITH A CONCENTRATION IN HEALTH DATA SCIENCE

Core coursework requirements
HINF 4010Health Informatics Communication4
HINF 4020Healthcare Workflow and Gap Analysis4
HINF 4030Healthcare Finance4
HINF 4900Experiential Learning in Health Informatics4
HINF 4901Capstone Project4
Concentration requirements
HINF 4210Data Platforms in Healthcare4
HINF 4220Health Data Mining4
HINF 4230Healthcare Statistical Dynamics of Machine Learning4
HINF 4240Health Data Science Reporting4
Elective requirements (Choose three courses):12
Survey of Health Industry Artificial Intelligence
Foundations of Digital Health
Healthcare Information Systems
Digital and Virtual Health
Values and Outcomes in Digital Health
Healthcare Cybersecurity
Healthcare Data and Delivery by Perspective
Healthcare Ethics and Biostatistics
Healthcare Methods and Programming
Healthcare Data Mining, Integration and Interpretation
Healthcare Database Applications
Healthcare Project Management and Professionalism
Total Credits48

Minimum number of credits required: 48

Students may choose from the elective options above, or they may work with their advisor to choose electives.  

A satisfactory quality of achievement with a grade point average of “B” (3.0) or better is required in graduate coursework accepted for the degree. The average is determined on the basis of the University’s grading system. In no case, may more than one-fourth of the hours accepted toward the degree be of “C” grade. A grade lower than “C” renders the credit unacceptable for meeting degree requirements. Students must earn a grade of B- or better in the Capstone Project.

Certificate in Health Informatics with a concentration in Digital Health 

Concentration requirements
HINF 4301Foundations of Digital Health 4
HINF 4310Healthcare Information Systems4
HINF 4315Digital and Virtual Health 4
HINF 4325Values and Outcomes in Digital Health 4
HINF 4335Healthcare Cybersecurity 4
Elective requirements (Choose one course):4
Survey of Health Industry Artificial Intelligence
Healthcare Data and Delivery by Perspective
Healthcare Ethics and Biostatistics
Healthcare Methods and Programming
Healthcare Data Mining, Integration and Interpretation
Healthcare Database Applications
Healthcare Project Management and Professionalism
Data Platforms in Healthcare
Health Data Mining
Healthcare Statistical Dynamics of Machine Learning
Health Data Science Reporting
Total Credits24

Minimum number of credits required: 24

Certificate in Health Informatics with a concentration in Health Data Informatics and Analytics

Concentration requirements
HINF 4600Healthcare Data and Delivery by Perspective4
HINF 4610Healthcare Ethics and Biostatistics4
HINF 4620Healthcare Methods and Programming4
HINF 4630Healthcare Data Mining, Integration and Interpretation4
HINF 4640Healthcare Database Applications4
HINF 4650Healthcare Project Management and Professionalism4
Total Credits24

Minimum number of credits required: 24

Certificate in Health Informatics with a concentration in Health Data Science

Concentration requirements
HINF 4210Data Platforms in Healthcare4
HINF 4220Health Data Mining4
HINF 4230Healthcare Statistical Dynamics of Machine Learning4
HINF 4240Health Data Science Reporting4
Elective requirements (Choose two courses):8
Survey of Health Industry Artificial Intelligence
Foundations of Digital Health
Healthcare Information Systems
Digital and Virtual Health
Values and Outcomes in Digital Health
Healthcare Cybersecurity
Healthcare Data and Delivery by Perspective
Healthcare Ethics and Biostatistics
Healthcare Methods and Programming
Healthcare Data Mining, Integration and Interpretation
Healthcare Database Applications
Healthcare Project Management and Professionalism
Total Credits24

Minimum number of credits required: 24

Specialized Graduate Certificate in Digital Health 

HINF 4301Foundations of Digital Health 4
HINF 4310Healthcare Information Systems4
HINF 4315Digital and Virtual Health 4
HINF 4325Values and Outcomes in Digital Health 4
Total Credits16

Specialized Graduate Certificate in Health Data Informatics and Analytics 

HINF 4600Healthcare Data and Delivery by Perspective4
HINF 4610Healthcare Ethics and Biostatistics4
HINF 4620Healthcare Methods and Programming4
HINF 4630Healthcare Data Mining, Integration and Interpretation4
Total Credits16

Specialized Graduate Certificate in Health Data Science

HINF 4210Data Platforms in Healthcare4
HINF 4220Health Data Mining4
HINF 4230Healthcare Statistical Dynamics of Machine Learning4
HINF 4240Health Data Science Reporting4
Total Credits16
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