Master of Science in Applied Health Sciences -Online Program Curriculum

CAHIIM Degree Accreditation Pending

Applied Masters Online Program Curriculum

DHSI Programs Master in Applied Health Science
Pre- requisite Introduction to online learning  (0 credits)
Completed in 15-36 months
Total Quarter Credits 60 quarter credits
Core Courses 30 quarter credits
Selectives + Electives 18 quarter credits
Fellows seminar 1 credit each quarter (total 4 credits)
Practicum Optional
CITI Ethics (0 credits)
Capstone 8 credits
Thesis project N/A


Date for withdrawal from a masters or certificate program with full refund is September 13, 2019, based on two weeks from start of classes.

Quarter 1 September 3– October 25, 2019
Drop date – September 13, 2019
Quarter 2 October 28 – December 20, 2019
Drop date – November 10, 2019
Quarter 3 January 21 – March 13, 2020
Drop date – January 31, 2020
Quarter 4 March 23 – May 15, 2020
Drop date – April 3, 2020
Summer July 1 – August 23, 2020
Drop date – July 12, 2020



All programs follow the School of Medicine's standard for minimum grade requirements as outlined in the "Grading Policy" below,  and include core, selective and elective coursework,  a weekly seminar, weekly Grand Rounds, and a capstone (or thesis) project.


  • At most, two courses with grades less than B– may be counted towards the coursework requirements. No course with grades less than C- may be counted. The overall grade point average of the courses counted towards the coursework requirements must be a 3.00 or higher (B average). At most, two independent study courses can be counted towards the course requirements.
  • Other than independent study courses, no courses with grades of S or Pass/Fail can be counted towards the coursework requirement. Courses with grades of S or Pass/Fail will not be included in the grade point average calculation.
  • A grade of D or F will result in probation; a second D or F would be cause for being dropped from the program.
  • Probation: Upon being placed on probation the student will receive an email and official letter from the Program Director. An ad hoc subcommittee, comprising at least three members of the Executive Committee (of the Director’s choosing) will be assembled, and a formal meeting with the student scheduled. During the meeting the student will have the opportunity to review the grade with the committee, and to develop consensus on a plan to monitor future progress in the program, including a time line for meeting the program’s expectations. The notification and committee proceedings will become part of the student's permanent record, as will documentation of the students’ ongoing progress. On review of the fellows’ academic progress, the committee will recommend the students continuance or dismissal from the Program.


Courses divide into Core, Selectives, and Electives. This website includes a listing of all DHSI approved program courses, selected from the schools below. A link to each school's search URL is provided here for students to find more information on any specific course, if needed. In addition, courses, along with availability and specifics, can also be found via the SIS general search engine. Note that some course links provided on this website will take you to one of the search pages to allow students to search by course number and some are linked directly to the course and its information. Also note that each school has a 3 digit abbreviation and a 2 digit school code as part of their course number.

All courses listed on this website are 3 credits, unless otherwise stated.

Semester-long courses are denoted as “Q1+Q2” or “Q3+Q4.”

Remember to check for prerequisites and most non-SOM courses require professor approval via email.

While SPH and other Schools' grades are posted on SIS, SOM grades are not.


The most recent catalog for SOM is this 2013-2014 pdf; it is most useful for information on biomedical courses. The MS for Information Systems at the Carey School of Business lists courses in that program (use SIS for details on specific courses). The Department of Computer Science at WSE provides a pdf of the official catalog. A full listing of WSE Computer Science courses can be found at and WSE offers courses for its Entrepreneurship & Management minor (and masters).

  • An SPH 3-credit 2-quarter course "counts" as 6 credits for the HSI program
  • A Homewood (or other semester-based programs) 3-credit semester course "counts" as 4.5 credits for the HSI program (or 2.25 per quarter). A 2-credit semester course "counts" as 3 quarter credits.
  • Click here to see current Core and Domain courses.



At least 1 course must be taken in each category below (or placed out with Director’s approval).

  1. Budgeting
  2. Organization/Strategic Issues
  3. Project Management
    • EN 605.408 Software Project Management Q1*+Q2*
                          (check  prerequisites)
    • EN 595.460 Introduction to Project Management (Multiple
                          Locations, Multiple Quarters, On Campus or Online)  
                         (check prerequisites)


  • PH 221.637 Health Information Systems (CL) Q2*
    • Systems in use primarily in developing countries for population-type data. Not necessarily tied to health IT.
  • PH 221.646 Health Systems In Low And Middle Income Countries (PH) Q2, 
    • The context within with health IT and ICT would be used in these countries
  • PH 223.672 Data Management Methods In Health Research Studies (PH)                     (5 credits) Q1*, Q4*
    • An intensive course on the nuts and bolts of managing study data (focused on public health studies, as opposed to clinical trials data) in general and in MS Access.
  • PH 340.701 Epidemiologic Applications of GIS (PH) (2 credits) Q4*
    • Requires background in epidemiology and biostatistics. Requires ability to work with a spreadsheet. 
  • 410.702  Biomedical Software Regulation

Software continually grows more complex and is becoming relied upon by healthcare professionals in the treatment of patients. This course describes how the U.S. government regulates software used in delivering healthcare including the regulations utilized by the Food and Drug Administration (FDA), as well as, the Center for Medicare and Medicaid Services (CMS). This course covers a wide range of topics, including: FDA regulation of software as a medical device and software validation, medical imaging software regulation, electronic recordkeeping and software used in clinical trials, laboratory information management systems (LIMS), and HIPAA privacy rules and security standards.

  •   410.633 Introduction to Bioinformatics

Retrieval and analysis of electronic information are essential in today's research environment. This course explores the theory and practice of biological database searching and analysis. In particular, students are introduced to integrated systems where a variety of data sources are connected through World Wide Web access. Information retrieval and interpretation are discussed, and many practical examples in a computer laboratory setting enable students to improve their data mining skills. Methods included in the course are searching the biomedical literature, sequence homology searching and multiple alignment, protein sequence motif analysis, and several genome analytical methods. Classes are held in a computer laboratory. Acquaintance with computers is required. Prerequisites: 410.601 Biochemistry; 410.602 Molecular Biology.

  • 410.635  Bioinformatics: Tools for Genome Analysis

Several large-scale DNA sequencing efforts have resulted in megabase amounts of DNA sequences being deposited in public databases. As such, the sequences are of less use than those sequences that are fully annotated. Assigning annotations such as exon boundaries, repeat regions, and other biologically relevant information accurately in the feature tables of these sequences requires a significant amount of human intervention. This course instructs students on computer analytical methods for gene identification, promoter analysis, and introductory gene expression analysis using software methods. Additionally, students are introduced to comparative genomics and proteomic analysis methods. Students will become proficient in annotating large genomic DNA sequences. Students complete two large sequence analysis projects during the course. Prerequisites: 410.601 Biochemistry; 410.602 Molecular Biology; 410.633 Introduction to Bioinformatics; or all Bioinformatics core courses.

  • 410.662  Epidemiology: Diseases in Populations

Epidemiology is the study of the patterns and determinants of disease in populations. It constitutes a basic science for public health and biomedical sciences and its influence can be felt daily through the presentation of data by government, academic, and industry sources. The goal of this course is to present an introduction to epidemiological methods and inferences to biotechnology professionals with little prior experience in public health. Issues in epidemiological inference and the assessment of causal relationships from epidemiological studies will be discussed, introducing the issues of bias and confounding. Throughout the course, emphasis will be on the practical use of epidemiology and lectures will be complemented by case studies and published literature. Examples will be drawn from contemporaneous issues in chronic and infectious diseases. At the conclusion of the course, students should have a greater appreciation for the role of the epidemiologic method and be able to evaluate a basic epidemiologic study, including how the study goals and research questions relate to the design, measures, and inferences. Recommended Prerequisites: Undergraduate statistics course or 410.645 Biostatistics.

  • 410.712  Advanced Practical Computer Concepts for Bioinformatics

This intermediate-to-advanced-level course, intended as a follow-on to 410.634 Practical Computer Concepts for Bioinformatics (a prerequisite for this new class), will integrate and expand on the concepts from that introductory class to allow students to create working, Web-based bioinformatics applications in a project-based course format. After a review of the concepts covered in 410.634, students will learn how to create functional Web applications on a UNIX system, using Perl and CGI to create forms that can be acted upon, and using the Perl DBI module to interface with MySQL relational databases that they will create and populate to retrieve and present information. This will be demonstrated by building an in-class, instructor led project. More advanced SQL concepts and database modeling will also be covered, as well as introductions to HTML5, CSS3 and Javascript. Class time in the latter weeks of the class will be devoted to individual assistance on student projects as well as to short lectures on advanced topics. Once again, whenever possible, this course will emphasize relevance to solving problems in molecular biology and bioinformatics. Pre-requisites: 410.601 Biochemistry, 410.602 Molecular Biology, 410.634 Practical Computer Concepts.

  • 410.702  Biomedical Software Regulation

Software continually grows more complex and is becoming relied upon by healthcare professionals in the treatment of patients. This course describes how the U.S. government regulates software used in delivering healthcare including the regulations utilized by the Food and Drug Administration (FDA), as well as, the Center for Medicare and Medicaid Services (CMS). This course covers a wide range of topics, including: FDA regulation of software as a medical device and software validation, medical imaging software regulation, electronic recordkeeping and software used in clinical trials, laboratory information management systems (LIMS), and HIPAA privacy rules and security standards.

Electives are divided here into the following categories: Computer Science, Design, Analysis, Evaluation, Clinical, Management, Health Policy.

Search for classes throughout the university via SIS or go to the individual school.

Computer Science




  • PH 317.605 Methods In Quantitative Risk Assessment (4 Credits) Q1*
    • Risk is the probability of anything bad. Epidemiology generally tackles data-based risk. How do you assess risk when only expert opinion is available, or other indirect sources, such as dose-response studies? This course focuses on toxicological and other environmental risks. 
  • PH 340.608 Observational Epidemiology (4 credits) Q4*
    • Requires prior Principles of Epidemiology (340.601), or Epidemiologic Methods (340.751 or 550.694-695). Another important course for the secondary analysis of EHR data 
  • PH 140.611Statistical Reasoning In Public Health I Q1*
    • An introduction from a “user’s” perspective, rather than from an analyst’s perspective. The minimum level of skill required in the informatics program.
  • PH 140.611 Statistical Reasoning In Public Health II Q2, Q2*
    • Complements PH 140.611
  • PH 140.664 Causal Inference In Medicine And Public Health I (4 credits) Q4*
    • Requires the equivalent of a year’s biostatistics sequence (611, etc.; 621, etc.; 651, etc.). An important course for anyone wanting to be responsible for secondary use of EHR data
  • PH 340.731 Principles Of Genetic Epidemiology 1 (4 credits) Q1*, Q3
    • Requires college bio/genetics. Includes statistics at the heart of population genetics


  • PH 260.600 Introduction To The Biomedical Sciences (4 credits) Q1*
    • Required for  students with no medical background  

  • PH 309.600 Evaluating Quality Improvement And Patient 
                        Safety Programs
    (2 Credits) Q1*
    • Health IT-based decision support should be part of these larger efforts

  • PH 311.615 Quality Of Medical Care Q1*
    • Meaningful Use is supposed to be an effort at encouraging the use of EHRs to improve the quality of care. There are other efforts as well, each using data collected in the course of care to come up with measures (“indicators”). Thus, health IT is both the object being studies and the medium of measurement. 
  • PH 309.712 Assessing Health Status And Patient Outcomes Q2*
    • Patient-reported outcomes is a new sort of data in medical care and research. How are they collected? (Increasingly, electronically.) How valid are they?  How does one use the data to learn, either about the patient or more generally?

  • PH 309.730 Patient Safety and Medical Errors Q2, Q3*
    • Patient safety may be thought as the other side of quality. The same informatics issues obtain: How should health IT systems help promote safety (beyond being the location for recording the data)? What new dangers do health IT bring into the environment?