faculty - leadership - Learning Faculty|
Head of Learning Programs, Professor of the Practice
Dan Koloski is the head of learning programs and professor of the practice in the College of Professional Studies at Northeastern University’s Roux Institute. At the Roux Institute, Koloski carries administrative responsibility for all learning programs across degree and non-degree contexts. Professor Koloski’s own teaching is in analytics and its applicability in business, and in addition to his work within various Northeastern degree programs, he works with the Roux partnerships team to
develop and teach custom non-degree courses to partner employees.
Koloski joined Northeastern after spending over twenty years in the IT and software industry, working in both technical and business management roles across large and small companies. Most recently, Koloski was vice president of product management and business development at Oracle. Before Oracle, he was CTO and director of strategy of the web business unit at Empirix, which he helped spin out and sell to Oracle.
Koloski holds a bachelor’s from Yale University and an MBA from Harvard Business School.
Koloski has lived in Portland for several decades with his wife and two daughters. He is an avid sailor and skier, in addition to maintaining an active performing schedule in the Portland-area music and theater scene.
Koloski specializes in project-based experiential learning and can most often be found teaching via hands-on, applied pedagogies that leverage technology and analytics in business contexts. Koloski also researches best practices relating to organizational transformation around data-driven decision-
Degree-related courses he frequently teaches include: ALY6080 Integrated Experiential Learning, ALY6980 Capstone, ALY6995 Project, ALY6060 Decision Support and Business Intelligence, ALY 6000 Introduction to Analytics and ALY6010 Probability Theory and Introductory Statistics, BUS5963 Experiential Entrepreneurship. Non-degree courses include various Explorations courses in the Analytics and AI/ML domains.
Areas of Expertise
- Analytics in the context of business and data-driven decision-making
- IT operations and cyber security
- The business of enterprise software