Course Schedule

The master’s degree in Health Informatics and Data Science requires a completion of 30 credits with at least a “B” average (3.0 GPA) in order to graduate. Full-time students can complete this program in one year, whereas part-time students can take up to 3 years.

The following is an example of a master’s program course schedule for full-time students.

Fall

Course Name Credit(s)
HIDS 501: Massive Health Data Fundamentals 3
HIDS 502: Utilizing Data in Electronic Medical Records 3
HIDS 503: Precision Health Informatics 4
HIDS 504: Evidence Based Data Analysis in Population Health 3
Total 13 Credits

Spring

Course Name Credit(s)
HIDS 509: Imaging Informatics 3
HIDS 505: Advanced topics in Health Informatics 3
HIDS 506: AI for Health Applications 3
HIDS 507: Digital Health Applications 4
Total 13 Credits

Summer

Course Name
Credit(s)
HIDS 510: Mandatory Capstone
Full/Special Session
4
Total 4 Credits

The following are two examples of a master’s program course schedule for part-time students.

Sample 1- Finishing the HIDS Masters Program part time in 2 years (Total – 30 credits)

  • Year 1 Fall : Take 2 courses (6 credit hours)
  • Year 1 Spring : Take 2 courses (6 credit hours)
  • Year 1 Summer: N/A
  • Year 2 Fall : Take 2 courses (7 credit hours)
  • Year 2 Spring : Take 2 courses (7 credit hours)
  • Year 2 Summer: Take Capstone Project (4 credit hours)

Sample 2 – Finishing the HIDS Masters Program part time in 3 years (Total – 30 credits)

  • Year 1 Fall : Take 1 course (3 credit hours)
  • Year 1 Spring : Take 2 courses (6 credit hours)
  • Year 1 Summer: N/A
  • Year 2 Fall : Take 2 courses (7 credit hours)
  • Year 2 Spring : Take 1 course (4 credit hours)
  • Year 2 Summer: N/A
  • Year 3 Fall : Take 1 course (3 credit hours)
  • Year 3 Spring : Take 1 course (3 credit hours)
  • Year 3 Summer: Take Capstone Project (4 credit hours)