This course explores key concepts and methods in Health Economics and Health Technology Assessment (HTA) and is intended for learners who have a foundation in data science, clinical science, regulatory and are new to this field and would like to understand basic principles used by payers for their reimbursement decisions.
Data Science in Health Technology Assessment
Gain insight into a topic and learn the fundamentals.
4.7
(13 reviews)
Intermediate level
Recommended experience
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Financial Modeling
- Data Analysis
- Data Science
- Statistical Modeling
- Statistical Analysis
- Economics, Policy, and Social Studies
- Analytics
- Cost Benefit Analysis
- Health Care Administration
- Business Analytics
- Management Accounting
- Statistics
- Health Systems
- Economics
- Probability & Statistics
- Finance
- Health Administration
- Financial Analysis
- Social Studies
- Mathematical Modeling
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 3 modules in this course
This module covers the key principles of economic evaluation, including types of analysis, the technical issues such as choosing the comparator, perspective, and time horizon. It looks at types of costs, and the need for discounting.
What's included
12 videos4 readings1 assignment
This module covers the measurement of health-related quality of life and its incorporation into economic evaluation.
What's included
9 videos4 readings1 assignment
This module introduces decision modelling techniques, deterministic and probabilitic sensitivity analyes and best practices for problem and model conceptualization.
What's included
6 videos3 readings1 assignment
Instructor
Instructor ratings
4.5 (6 ratings)
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.7
13 reviews
- 5 stars
69.23%
- 4 stars
30.76%
- 3 stars
0%
- 2 stars
0%
- 1 star
0%
Showing 3 of 13
HJ
5
Reviewed on Apr 15, 2024
I love this course as it is simple to understand and concise. Will be better if it can include more calculation or case scenarios in this course =)
Recommended if you're interested in Data Science
University of Minnesota
The University of Sydney
University of London
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy