Lecturer, Master of Analytics Program at The University of Chicago

Posted in Other 10 days ago.

Location: Chicago, Illinois





Job Description:

Description



The University of Chicago Graham School of Continuing Liberal and Professional Studies is seeking qualified applicants for part-time Lecturers to teach in its Master of Science in Analytics program. The MSc in Analytics program provides students with advanced analytical training aimed at developing their ability to draw insights from data, including data collection, preparation and integration, and statistical methods and modeling. The curriculum is highly applied in nature, integrating business strategy, project-based learning, simulations, and case studies.


The Graham School is currently accepting applications to teach the following courses:


Health Analytics


Statistical Analysis


Research Design for Business Applications


Database Design and Implementation


Time Series and Forecasting


Data Mining Principles


Advanced Data Mining and Predictive Analytics


Linear and Nonlinear Models in Business Applications


Leadership and Management


Risk Analytics


Marketing Science and Customer Analytics


Financial Analytics


Web Analytics and Unstructured Data



Qualifications



Candidates must hold a masters degree in a relevant field, preferably in statistics, business, social science methodology, or computer science; Ph.D. preferred. Evidence of applied quantitative experience in business, nonprofit, or healthcare is required for all courses with the exception of leadership and management.. Prior successful teaching experience is a plus.



Application Instructions



Interested candidates should submit a cover letter and resume indicating their preferred course and describing relevant background, qualifications, and prior teaching experience. Candidates may submit additional material, such as past teaching evaluations or work samples, if they wish.


Apply online and send materials via email to: (no phone calls, please) analytics@uchicago.edu