| 600. Precis Hlth Sem. (0.5 to 1 credits) |
| 601. HILS Pro Develop Sem. (1 credits) |
| 610. Expl Data Anlys Hlth. Advisory pre-requisite: Basic introduction to general or statistical programming and at least one course in statistics is required. (3 credits) |
| 611. Knowl Repres&Mgt Hlt. Advisory pre-requisite: Some basic computer programming experience, including either an introductory college course, or a short course in Python or another language or a similar online course is advised. (3 credits) |
| 621. Imp Sci I. Advisory pre-requisite: Graduate Statistic course; Social Psychology coursework recommended. (3 to 4 credits) |
| 622. Learn Cycle Capstone. Required pre-requisite: LHS 621 (3 credits) |
| 631. Learning Analytics. (3 credits) |
| 641. Quality Improvement. (3 credits) |
| 650. Hlth Inf Sem. (3 credits) |
| 660/SI 648/HMP 648. Eval Methods in HI. Advisory pre-requisite: Graduate level introductory statistics course (3 credits) |
| 665. App Biostat for Hlth. Advisory pre-requisite: One prior Statistics course (4 credits) |
| 668/BIOINF 668/HMP 668/SI 542. Intro Health Infor. Required pre-requisite: Graduate Advisory pre-requisite: Graduate standing (3 credits) |
| 671. Policy&Ethics LHS. (3 credits) |
| 678. Learning Cycle Infor. (3 credits) |
| 680. Teamwork Healthcare. (3 credits) |
| 700/HS 700. Biostats Cln Pract. (3 credits) |
| 701. HILS Research Sem. (1 credits) |
| 712. NLP on Health Data. Advisory pre-requisite: LHS 621, SI 506 or SI 507 (3 credits) |
| 721. Imp Sci 2. (3 credits) |
| 731. Topics in HILS. (1 to 4 credits) |
| 750. Hlth Inf Sem 2. Required pre-requisite: LHS 650 (2 credits) |
| 760. Qualitative Methods. (3 credits) |
| 791. Independent Study. (1 to 6 credits) |
| 990. Diss Pre-Cand. Advisory pre-requisite: Graduate standing (1 to 8 credits) |
| 995. Diss-Cand. Advisory pre-requisite: Candidate (4 or 8 credits) |
