Field Study (STRT-498-0) Field Studies include those opportunities outside of the regular curriculum in which a student is working with an outside company or non-profit organization to address a real-world business challenge for course credit under the oversight of a faculty member.
Field Study (MKTG-498-0) Field Studies include those opportunities outside of the regular curriculum in which a student is working with an outside company or non-profit organization to address a real-world business challenge for course credit under the oversight of a faculty member.
Analytical Consulting Lab (MECNM-615-0) Analytical Consulting Lab (MECN-615-0) For more information and to complete the application, click here
Analytical Consulting Lab is an experiential course for students interested in applying their analytics skills to help real clients use real data to solve real problems. Projects will include a range of sophistication of analytic techniques - some might call for advanced statistical modeling and machine learning techniques, while others may focus less on analysis of data and more on helping a client craft an appropriate analytics strategy. Projects are pre-approved by faculty, and will touch many industries and aspects of business management.
Note: This course may not be dropped after the first week of the quarter. By application only.
Field Study (MECN-498-0) Field Studies include those opportunities outside of the regular curriculum in which a student is working with an outside company or non-profit organization to address a real-world business challenge for course credit under the oversight of a faculty member.
Data Analytics Decisions (KMCI-940-0) This course will provide students with the opportunity to enhance business decision-making using predictive and evaluative analytics tools and concepts. Our goal will be to master a rigorous and portable framework that we will apply across a wide range of business contexts. We'll build statistical and machine learning models in Stata, R (no prior experience in R is needed), and more, emphasizing methods only to the extent that they yield improvements in real-life decision-making. Students will also research applications of analytics to contexts that they find personally or professionally compelling. By the end of the course, students will have developed a powerful understanding of analytics' strengths and limitations, thus enabling them to be truly effective data-driven business leaders.
Field Study (KMCI-498-5) Field Study