Campuses:
This is archival data. This system was retired as of August 21, 2023 and the information on this page has not been updated since then. For current information, visit catalogs.umn.edu.
Twin Cities Campus
Health Informatics M.S.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
Website: http://healthinformatics.umn.edu
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.
The MS is a 36 credit degree that may be completed in as little as two years or up to five years. It is intended for students who are interested in research, but who do not have the background or are not ready to commit to the PhD program.
There are two kinds of MS degrees: MS Plan A and MS Plan B. The Plan A culminates in a substantial, 10-credit master's thesis. The Plan B culminates in a smaller, 4-credit, Plan B project. Electives comprise the additional six credits in the Plan B degree.
Program Delivery
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program
is 3.30.
Applicants are expected to have at least a bachelor of science or equivalent degree from a regionally accredited institution of higher education.
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 - Python Programming Essentials for the Health Sciences
(1.0 cr)
or
Department Consent
Applicants must submit their test score(s) from the following:
International applicants must submit score(s) from one of the following tests:
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
Plan A: Plan A requires
15 to 19
major credits,
7 to 11
credits outside the major,
and
10
thesis credits.
The final exam is written and oral.
Plan B: Plan B requires
19 to 31
major credits and
7 to 17
credits outside the major.
The final exam is written and oral.
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 1 semesters must be completed
before filing a Degree Program Form.
Required HINF Courses
N.b. All students must take AHC Informatics Grand Rounds (HINF 5436) twice for a total of two credits.
HINF 5430 - Foundations of Health Informatics I
(3.0 cr)
HINF 5431 - Foundations of 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 - Informatics Methods for Health Care Quality, Outcomes, and Patient Safety
(2.0 cr)
HINF 5531 - Health Data Analytics and Data Science
(3.0 cr)
Electives
Graduate-level electives of your choice; see student handbook for a list of recommended electives. Plan A students will need 4 credits of electives, and Plan B students will need 10 credits of electives.
|
|
Credits: | 1.0 [max 1.0] |
Grading Basis: | S-N or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 1.0 [max 10.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Spring |
Credits: | 2.0 [max 2.0] |
Grading Basis: | OPT No Aud |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | No Grade |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 1.0 -18.0 [max 50.0] |
Grading Basis: | No Grade |
Typically offered: | Every Fall, Spring & Summer |