The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events Specialist
Transformative data analytical skills for the healthcare industry. *This course requires mandatory moderate knowledge of some type of analysis coding tools (such as SaS, SPSS, or R), college-level mathematics, and statistics.
TBD
8 weeks, online
4-6 hours per week
Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Data Science in Healthcare starting on TBD .
We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.The volume of data generated by hospitals, health systems, medical staff, and patients is driving an urgent need for expertly trained analysts who can get the data right. Analytical skills are as essential in an epidemic as they are in everyday wellness care, as vital for patients as they are for providers. These data skills are critical for analysts anywhere on the healthcare spectrum – on the clinical, pharmaceutical, risk, or management side. You must know how to operationalize systems to collect, measure, aggregate, interpret, and share the data your healthcare company and its partners need. Optimizing your data science skills can lead to better therapeutic options, enhanced business results, and – most important – improved patient outcomes.
Consider the impact of big data on both business health and patient health:
Prerequisites: This course requires mandatory moderate knowledge of some type of analysis coding tools (such as SaS, SPSS, or R), college-level mathematics, and statistics. Students can take the self-assessment test to verify their math skills prior to commencement of the course. You can view sample questions and answers by clicking here.
As much as 25% of U.S. per capita spending on healthcare is wasteful. Much of this waste can be mitigated by sharing and analyzing data
Predictive analytics greatly improves oncologists’ diagnoses. Google’s AI algorithm may detect as many as 99% of metastatic breast cancers. Not surprising, 89% of healthcare executives plan to use predictive analytics in the next five years.
In this program, you will learn to:
Data Science in Healthcare is designed for technical professionals who have at least a moderate level of comfort with some type of analysis coding tools (such as SaS, SPSS, or R), college-level mathematics, and statistics. In this program, you will learn to:
Although these topics could be applied to a range of businesses, this program will be particularly useful for entry to mid-career professionals in roles similar to the following:
Analysts - Ideal for professionals working in analytics roles in healthcare or industries adjacent to healthcare, such as insurance, pharmaceuticals, or biotech.
Mid-Level Managers - Ideal for professionals on the executive track who have quantitative responsibilities and relevant experience in a healthcare field.
Entry-Level Professionals - Ideal for professionals just beginning their careers who are looking to develop a data foundation with applications in the healthcare industry.
Representative roles well suited to this program include:
Medical Use Case Examples
50+ Video Lectures
Knowledge Checks
Learning Facilitators
Weekly Q&A Sessions
CHRISTIAN DARABOS, PhD
Eugene Demidenko, PHD
Todd A. MacKenzie, PHD
James O’Malley, PHD
RAMESH YAPALPARVI, PhD
CHRISTIAN DARABOS, PhD
Lecturer, Biomedical Data Science & Assistant Director of Research Informatics
At Dartmouth, Dr. Darabos manages and coordinates research projects across departments. His research focuses on biologically inspired heuristics applied to modeling complex dynamical systems. He designs and implements intelligent machine learning-based techniques and tools to large-scale biomedical datasets. His projects have included the study of complex genetic interactions in human diseases.
Eugene Demidenko, PHD
Professor of Biomedical Data Science, Professor of Community and Family Medicine, Adjunct Professor of Mathematics & Adjunct Professor of Engineering
At Dartmouth, Dr. Demidenko teaches statistics to undergraduate students and graduate students in the Quantitative Biomedical Sciences program at the Geisel School of Medicine. He is an expert in theoretical and applied statistics, such as epidemiology and biostatistics, statistical analysis of images, mixed models, nonlinear regression, mathematical tumor regrowth modeling, and partial differential equations with mixed boundary conditions.
Todd A. MacKenzie, PHD
Professor of Biomedical Data Science, Professor of Medicine & Professor of The Dartmouth Institute
At Dartmouth, Dr. MacKenzie teaches biostatistics in the Quantitative Biomedical Sciences program at the Geisel School of Medicine. His research focuses on the use of data science to help clinical and health services researchers across a spectrum of disciplines and specialties. Many of his projects involve comparative effectiveness, clinical trials, association studies, and prediction modeling. He is particularly interested in survival analysis, causal inference, and the decline in American longevity.
James O’Malley, PHD
Professor of Biomedical Data Science and of The Dartmouth Institute for Health Policy and Clinical Practice & Adjunct Professor of Mathematics and Computer Science
At Dartmouth, Dr. O’Malley teaches biostatistics at The Dartmouth Institute and the Biomedical Data Sciences program at the Geisel School of Medicine. His research focuses on applying statistical methods to health policy and health services to improve patient care. He is an expert in statistical inference for social networks, comparative effectiveness, Bayesian statistics, vascular surgery, cardiology, the design and evaluation of medical device clinical trials, and the relationship between health and social networks. He collaborates with physicians, sociologists, health economists, health services researchers, and epidemiologists.
RAMESH YAPALPARVI, PhD
Course Director, Master’s Program in Healthcare Data Science
At Dartmouth, Dr. Yapalparvi is the course director for the graduate program in healthcare data science, data mining, and data visualization in the Quantitative Biomedical Sciences program at the Geisel School of Medicine. In addition to his academic work, he is senior manager of data science for Optum/UnitedHealth Group, where he manages a team of data scientists to identify and prevent fraud, waste, and abuse. He also has worked with orthopedic surgeons to develop tools for clinical interventions and predictive analytics tools for patient reported outcomes data.
Upon successful completion of the program, participants will receive a verified digital certificate of participation from Dartmouth QBS.
Download BrochureYour digital certificate will be issued in your legal name and emailed to you at no additional cost, upon completion of the program, per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Dartmouth.
After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly.
Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at learner.success@emeritus.org for assistance.
Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.
More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.
Check back to this program web page or email us at learner.success@emeritus.org to inquire if future program dates or the timeline for future offerings have been confirmed yet.
Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.
We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:
The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please contact us at learner.success@emeritus.org if you need further clarification on program activities.
More than 250,000 professionals globally, across 80 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.
A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.
Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.
This program is scored as a pass or no-pass ; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please contact us at learner.success@emeritus.org if you need further clarification on any specific program requirements.
Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the program, once grading is complete.
No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.
No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.
You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.
Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.
Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.
Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.
Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.
The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.
Yes, you can do the bank remittance in USD via wire transfer or debit card. Please contact your program advisor, or email us at learner.success@emeritus.org for details.
Yes! Please email us at learner.success@emeritus.org with the details of the program you are interested in, and we will assist you.
Please email learner.success@emeritus.org with your invoicing requirements and the specific program you’re interested in enrolling in.
Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.
Yes, the program fee is inclusive of any taxes, except for GST for Singapore residents.
Please email us at learner.success@emeritus.org for assistance.
You may request a full refund within seven days of your payment or 14 days after the published start date of the program, whichever comes later. If your enrollment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to admissions@emeritus.org.
After the published start date of the program, you have until the midpoint of the program to request to defer to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrollment and are subject to availability of other cohorts scheduled at our discretion. This will not be applicable for deferrals within the refund period, and the limit of one deferral per enrollment remains. All deferral requests should be sent to admissions@emeritus.org.