The STEM-designated Master of Science in Operations Analytics and Management was created to prepare analysts who can guide their organizations through the complexities of operations on a global stage. The program balances quantitative and qualitative analyses, while emphasizing the skills you need to work in multidisciplinary teams and develop an innovative mindset in order to respond to ever-changing business environments.
With the MS in Operations Analytics and Management 36-credit program, you’ll gain a well-rounded, comprehensive education in operations analytics and management, while still leaving ample room for you to customize the breadth of your degree. Course topics include risk management, Lean Six Sigma process design, modeling and optimization, supply chain management, and database development. You will also study and gain hands-on experience through internships to link practice with theory and to hone your communication and interpersonal skills.
Tuition is based on the current curriculum for the MS program which is 36 credits. The current price of tuition is $1,566 per credit making the total cost for the program $56,376 in tuition only. For more detailed information on tuition – including fees – please visit the complete breakdown of costs on the Financial Aid page.
Decision-making is becoming increasingly complex as data expands and resources decrease. My research centers on using prescriptive (integer optimization) and predictive (machine learning) analytics, together with algorithms, to effectively allocate scarce resources. My work employs mathematical modeling and the development of methods and tools to benefit vulnerable and marginalized individuals, groups, and populations.
The application of Industrial Engineering and mathematical knowledge has always been a rewarding challenge for me. Over the past several years, I have focused my research in the healthcare industry, which is particularly exciting given the current debates on healthcare reform. Current projects include evaluating anti-human trafficking efforts, computationally characterizing episodes of care from health insurance claim records and examining the impact of physician incentives on patient outcomes.
I enjoy teaching at WPI because students bring a lot of energy and enthusiasm to their learning, and I am often inspired by their optimism. My teaching also reflects topics that motivate me: detailed process design in our Industrial Engineering program, improving healthcare delivery as part of the Health Systems Innovation certificate, and exploring the implications of operational excellence in our MBA program.
