Northeastern launches first-of-its-kind Master’s in Real World Evidence

Are you passionate about creating evidence that will change medicine and the lives of people? Northeastern University’s new program explores the rigorous scientific process behind the field of Real World Evidence generation.

The Master of Science in Real World Evidence in Healthcare and Life Sciences is a first-of-its-kind program taught by experts in the field. From this program you can expect an industry-first mentality, providing hands-on opportunities to work on projects with our rich partner network.

It’s available full- or part-time and can be completed 100% online, on-ground, or hybrid.

Learners gain the knowledge and skills to produce important scientific and business results from real-world health data, such as electronic medical records and insurance claims. The curriculum explores how epidemiologists, health services researchers, and health policymakers use real-world data to produce reliable evidence.

Learn more and apply today.

“We’re using data to help clinicians and health systems understand, predict, and head off bad outcomes in patients long overlooked. The goal is greater health equity,” said Brianne Olivieri-Mui, assistant professor.

Upon graduation, you’ll be able to:

  • Describe the value and process of the ethical use of observational health data to answer clinical questions.
  • Illustrate how different forms of observational health data are collected, organized, and standardized to generate accurate, reproducible, and well-calibrated evidence.
  • Use state-of-the-art statistical software and methods to combine and analyze large-scale federated health data from diverse sources (e.g. EHRs) while preserving privacy.
  • Construct and take part in a team to conceptualize, analyze, and communicate the results of a study using observational health data to answer a clinical question.
  • Evaluate strengths and weaknesses of an observational health analysis.

Graduates can pursue jobs in:

  • Regulatory professionals (e.g. Director of Global Regulatory Affairs, Global Regulatory Affairs Managers, Global Regulatory Leads)
  • Medical and research scientists (e.g. Biostatistics Managers, Biostatisticians, Medical Science Liaisons, Clinical Scientists)
  • Data Scientists and Analysts (e.g. Data Scientists, Statistical Programmers, Associate Director of Analytics)
  • Data Strategy
  • Data Governance

Interested in being a part of this program? Learn more and apply today.