Delving into the world of algorithms and analytics, this program will explore the various technologies and techniques that are used every day around the world in amplifying the ability for healthcare data to provide value to large enterprises in a variety of sectors.
Today, individual and population health can be significantly transformed by using digital tools. Health data science is an emerging discipline within the field, arising at the intersection of statistics, computer science, and health. It can generate data-driven solutions through better comprehension of complex real-world health problems, employing critical thinking and analytics to derive knowledge from big data.
Delving into the world of algorithms and analytics, this program explores the various technologies and techniques that are used every day around the world in amplifying the ability of healthcare data to provide value to large enterprises in a variety of sectors. The learning objectives will be driven by the needs of executives around how to apply data science in healthcare and life sciences today.
To learn more about this program, please contact Co-Director Stan Kachnowski at swk16@gsb.columbia.edu.
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Data science in healthcare can save lives by predicting the probability that patients will suffer from certain diseases, providing AI-powered medical advice in rural and remote areas in underserved communities, customizing therapies for different patient profiles, or assisting in finding cures to cancer, AIDS, Ebola, and other terminal diseases.
Key learning outcomes from the program are:
- Understand the terms, techniques, and technologies driving data science in healthcare and life sciences today
- Learn about the landscape of artificial intelligence in healthcare innovation in times of COVID-19
- Explore the major tasks for which machine learning is used and compare and contrast approaches for machine learning in healthcare
- Learn about key concepts in predictive analytics and machine learning and its applications
- Understand how the use of predictive analytics in healthcare can boost performance on a range of measures while also maximizing resources
- See how data availability, improving computational power, and designing of digital- and data-centric organizations have fostered more effective data-driven business decisions
- Develop your knowledge of various statistical tools and its applications to build skills for statistical inference of business data
- Explore case studies on how data collected during routine patient care can inform precision medicine efforts for the population at large
Upon completion of this program, you will earn three credits towards a Certificate with select alumni and tuition benefits. Learn more.
The program currently takes place in a live online format and uses a combination of online tools, interactive lectures, case studies, and online workshops for individuals and groups.
You'll learn in a high-touch, intimate setting from a range of academic and industry experts. Sessions are taught by Columbia Business School professors, digital health practitioners, and business leaders, supplemented by sessions with colleagues from various fields and industries.
Sessions include:*
- Introduction to Health Data Science
- Artificial Intelligence in Healthcare
- Predictive Analytics and Machine Learning
- Leveraging Predictive Analytics
- Digital Strategies for Operational Excellence
- Case Studies in Precision Medicine
- Managerial Statistics
- Business Analytics and Data Science
- Applying Data Science Tools and Techniques to Optimize Managed Care Performance
- The Importance of Data Visualization as the Last Mile of the Health Data Science Marathon
- Real-World Evidence for Innovative Solutions
- Verily Panel: Strides in Digital Health during a Pandemic
- Pharma's Role in Value-Based Healthcare
- Applications of Data Science in Health Plans
*Sessions are subject to change.
For a complete program schedule download the agenda.
Health Data Science is designed for executives working in the rapidly evolving fields of life science innovation, pharmaceutical and device research, health tech investment, and other related industries. This program empowers participants to understand the complex digital health landscape and to both identify and capture meaningful opportunities to generate new value for both their organizations and customers.
Columbia Business School alumni and up to four of their colleagues are eligible for a 25 percent tuition benefit for this program. More on the Alumni Tuition Benefit.
Upon completion of this program, you will earn three credits towards a Certificate with select alumni and tuition benefits.
This program is suitable for attendees at all executive levels who are working in the rapidly evolving fields of life science innovation, pharmaceutical and device research, health tech investment and other related industries.