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:
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
Marketing Science and Customer Analytics
Web Analytics and Unstructured Data
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.
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.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University's Statements on Diversity are at https://provost.uchicago.edu/statements-diversity.
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-1032 or email firstname.lastname@example.org with their request.
Internal Number: 84821
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