Twin Cities campus
 
Twin Cities Campus

Health Informatics Ph.D.

Health Informatics, AHC Inst
Graduate School
Link to a list of faculty for this program.
Contact Information
Physical Address: 505 Essex St. SE, 330 Diehl Hall, Minneapolis, MN 55455 Mailing Address: MMC 912, 420 Delaware St. SE, Minneapolis, MN 55455
Email: ihi@umn.edu
  • Program Type: Doctorate
  • Requirements for this program are current for Fall 2017
  • Length of program in credits: 70
  • This program does not require summer semesters for timely completion.
  • Degree: Doctor of Philosophy
Along with the program-specific requirements listed below, please read the General Information section of this website for requirements that apply to all major fields.
Health informatics is an interdisciplinary field of scholarship that applies computer, information, and cognitive sciences to promote the effective and efficient use and analysis of information, ultimately improving the health, well-being, and economic functioning of society. Students take a sequence of core courses in health informatics and biostatistics, and electives in technical and health science areas. Possible areas of emphasis include health information systems, telehealth, bioinformatics, user interface design, system impact evaluation, database construction and analysis, clinical decision-making, evaluation of health programs, and physiological monitoring and control.
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
  • partially online (between 50% to 80% of instruction is online)
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program is 3.50.
Applicants must have at least a master's degree or equivalent in a science, technology, engineering, or math field (or another field related to informatics) from a regionally accredited university.
Required prerequisites
Health or Biological Sciences
6-semester credits or 9 quarter-credits of health or biological coursework at the undergraduate or graduate level.
or Department Consent
Programming Language
Documented work or educational experience working with a programming language such as C, C++, Java, Visual Basic, PASCAL, etc.
or HINF 5502 - Programming Essentials Python 3 (1.0 cr)
or Department Consent
Applicants must submit their test score(s) from the following:
  • GRE
    • General Test - Verbal Reasoning: 152
    • General Test - Quantitative Reasoning: 159
    • General Test - Analytical Writing: 4.0
International applicants must submit score(s) from one of the following tests:
  • TOEFL
    • Internet Based - Total Score: 79
    • Internet Based - Writing Score: 21
    • Internet Based - Reading Score: 19
    • Paper Based - Total Score: 550
  • IELTS
    • Total Score: 6.5
    • Reading Score: 6.5
    • Writing Score: 6.5
  • MELAB
    • Final score: 80
The preferred English language test is Test of English as Foreign Language.
Key to test abbreviations (GRE, TOEFL, IELTS, MELAB).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
20 to 35 credits are required in the major.
11 to 26 credits are required outside the major.
24 thesis credits are required.
This program may be completed with a minor.
Use of 4xxx courses toward program requirements is permitted under certain conditions with adviser approval.
A minimum GPA of 3.00 is required for students to remain in good standing.
At least 2 semesters must be completed before filing a Degree Program Form.
Required HINF Courses
Students must take HINF 5436 AHC Informatics Grand Rounds twice for a total of 2 credits.
HINF 5430 - Health Informatics I (3.0 cr)
HINF 5431 - Health Informatics II (3.0 cr)
HINF 5436 - AHC Informatics Grand Rounds (1.0 cr)
HINF 5510 - Applied Health Care Databases: Database Principles and Data Evaluation (3.0 cr)
HINF 5520 - Clinical Informatics and Patient Safety (2.0 cr)
HINF 5531 - Health Data Analytics and Data Science (2.0 cr)
HINF 8525 - Health Informatics Teaching (2.0 cr)
HINF 8535 - Advanced Health Informatics Research Methods (3.0 cr)
HINF 8888 - Thesis Credit: Doctoral (1.0-24.0 cr)
Other Required Courses
NURS 5116 - Consumer Health Informatics (1.0 cr)
NURS 7108 - Population Health Informatics (2.0 cr)
PUBH 6450 - Biostatistics I (4.0 cr)
PUBH 6451 - Biostatistics II (4.0 cr)
Electives
Graduate-level electives of your choice to equal 70 credits; see student handbook for a list of recommended electives.
 
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HINF 5502 - Programming Essentials Python 3
Credits: 1.0 [max 2.0]
Grading Basis: S-N or Aud
Typically offered: Every Fall & Spring
Computer programming essentials for health sciences/health care applications using Python 3. Intended for students with limited programming background, or students wishing to obtain proficiency in Python programming language. prereq: Junior or senior or grad student or professional student or instr consent
HINF 5430 - Health Informatics I
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introductory survey of health informatics, focusing on foundational concepts. Conceptualizations of data, information, knowledge. Current terminologies, coding, classification systems for medical information. Ethics, privacy, security. Systems analysis, process/data modeling. Human-computer interaction/data visualization. prereq: Junior or senior or grad student or professional student or instr consent
HINF 5431 - Health Informatics II
Credits: 3.0 [max 3.0]
Prerequisites: Junior or senior or grad student or professional student or #
Grading Basis: A-F or Aud
Typically offered: Every Spring
Introductory survey of health informatics, focusing on applications of informatics concepts/technologies. Health informatics research, literature, evaluation. Decision models. Computerized decision support systems. Data mining, natural language processing, other emerging technologies. Security for health care information handling. prereq: Junior or senior or grad student or professional student or instr consent
HINF 5436 - AHC Informatics Grand Rounds
Credits: 1.0 [max 10.0]
Grading Basis: S-N or Aud
Typically offered: Every Fall & Spring
Presentation/discussion of research problems, current literature/topics of interest in Health Informatics.
HINF 5510 - Applied Health Care Databases: Database Principles and Data Evaluation
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Principles of database theory, modeling, design, manipulation of databases. Taught with healthcare applications emphasis. Using relational database management system (RDBMS). Database manipulation. Structured Query Language (SQL) to compose/execute queries. prereq: Junior or senior or grad student or professional student or instr consent
HINF 5520 - Clinical Informatics and Patient Safety
Credits: 2.0 [max 2.0]
Prerequisites: Junior or senior or grad student or professional student or #
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Application/operation of clinical information systems, electronic health records, decision support/application in health care system. Use of clinical information systems/association with health care delivery, payment, quality, outcomes. prereq: Junior or senior or grad student or professional student or instr consent
HINF 5531 - Health Data Analytics and Data Science
Credits: 2.0 [max 2.0]
Prerequisites: Junior or senior or professional student or grad student or #
Grading Basis: A-F or Aud
Typically offered: Every Spring
Data science methods/techniques for extraction, preparation, use of health data in decision-making. prereq: Junior or senior or professional student or grad student or instr consent
HINF 8525 - Health Informatics Teaching
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Spring Even Year
Use selected teaching techniques to assist in the delivery of course content in health informatics curriculum. Work with a professor who is the course director. From evaluation and feedback on their teaching technique, students develop a teaching philosophy as a final course project. prereq: HINF student or instr consent
HINF 8535 - Advanced Health Informatics Research Methods
Credits: 3.0 [max 3.0]
Prerequisites: HINF student or #
Grading Basis: A-F only
Typically offered: Spring Even Year
Application of research methods, evaluation. Design, data collection, and data analysis in the context of health informatics, including computational and health data challenges. prereq: HINF student or instr consent
HINF 8888 - Thesis Credit: Doctoral
Credits: 1.0 -24.0 [max 100.0]
Grading Basis: No Grade
Typically offered: Every Fall, Spring & Summer
(No description) prereq: PhD candidate or department consent. Max 18 credits per semester; 24 credits required
NURS 5116 - Consumer Health Informatics
Credits: 1.0 [max 1.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Examines issues from consumer's perspective in acquisition, understanding, use or provision of health information. Online strategies for improving health. Impact on consumer-provider relationships/ethical and legal issues. prereq: Grad student or instr consent
NURS 7108 - Population Health Informatics
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Standards, interoperability, and integration of information systems for population health are examined. Population health use cases are analyzed for potential benefits, legal, ethical, and practical issues related to the development of population health information systems. prereq: [5115 or [HINF 5430, HINF 5431]] or instr consent
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Descriptive statistics. Gaussian probability models, point/interval estimation for means/proportions. Hypothesis testing, including t, chi-square, and nonparametric tests. Simple regression/correlation. ANOVA. Health science applications using output from statistical packages. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Two-way ANOVA, interactions, repeated measures, general linear models. Logistic regression for cohort and case-control studies. Loglinear models, contingency tables, Poisson regression, survival data, Kaplan-Meier methods, proportional hazards models. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent