Management Track
Contact
Name:
Lisa Chosed, MA
Jefferson College of Population Health has three trimesters: Fall, Spring, & Summer. Each trimester has two 7-week terms. Students can choose a recommended pathway that allows them to complete a master's in 2-4 years by taking a class in every 7-week term or once a trimester, or a certificate in 1-2 years.
Skipping a term or trimester will mean a reassessment of pathways, with the assistance of advisors, and an extension of time-to-degree. Please refer to Yearly Course Schedule for course availability and pre-requisites. Subject to change.
Master's Pathways
Year 1
- Fall A: AHE 502 Statistics I
- Fall B: AHE 505 Statistics II
- Spring A: AHE 509 Epidemiology & Evidence for Outcomes Research
- Spring B: HDS 501 Health Informatics & Analytics
- Summer A: AHE 501 Economics of Health Insurance or
POP 500 Essentials of Population Health - Summer B: HDS 518 Supervised Learning & Unsupervised Learning: Prediction & Classification
Year 2
- Fall A: HDS 538 Implementation Science
- Fall B: HDS 532 Data Visualization
- Spring A: HDS 527 Analytics Leadership
- Spring B: Elective (Program Director approval needed)
- Summer: HDS 652 Strategic Capstone Portfolio & Presentation
Year 1
- Fall A: AHE 502 Statistics I
- Spring B: AHE 505 Statistics II
- Summer A: HDS 532 Data Visualization
Year 2
- Fall B: HDS 501 Health Informatics & Analytics
- Spring A: AHE 509 Epidemiology & Evidence for Outcomes Research
- Summer A: AHE 501 Economics of Health Insurance or
POP 500 Essentials of Population Health
Year 3
- Fall A: HDS 538 Implementation Science
- Spring A: HDS 527 Analytics Leadership
- Summer B: HDS 518 Supervised Learning & Unsupervised Learning: Prediction & Classification
Year 4
- Fall A or B: Elective (Program Director approval needed)
- Spring: HDS Strategic Capstone Portfolio and Presentation
Year 1
- Spring A: AHE 502 Statistics I
- Spring B: AHE 505 Statistics II
- Summer A: HDS 532 Data Visualization
- Summer B: HDS 518 Supervised Learning & Unsupervised Learning: Prediction & Classification
- Fall A: AHE 501 Economics of Health Insurance or
POP 500 Essentials of Population Health
- Fall B: HDS 501 Health Informatics & Analytics
Year 2
- Spring A: HDS 527 Analytics Leadership
- Spring B: HDS 538 Implementation Science
- Summer A: Elective (Program Director approval needed)
- Summer B: AHE 509 Epidemiology & Evidence for Outcomes Research
- Fall: HDS 652 Strategic Capstone Portfolio and Presentation
Year 1
- Spring A: AHE 502 Statistics I
- Summer A: HDS 532 Data Visualization
- Fall B: AHE 505 Statistics II
Year 2
- Spring B: HDS 538 Implementation Science
- Summer A: AHE 501 Economics of Health Insurance OR
POP 500 Essentials of Population Health - Fall B: HDS 501 Health Informatics & Analytics
Year 3
- Spring A: HDS 527 Analytics Leadership
- Summer B: HDS 518 Supervised Learning & Unsupervised Learning: Prediction & Classification
- Fall A or B: Elective (Program Director approval needed)
Year 4
- Spring A: AHE 509 Epidemiology & Evidence for Outcomes Research
- Summer: HDS 652 Strategic Capstone Portfolio & Presentation