MGTSC 312 - Probability and Statistics for Business

★ 3 (fi 6)(EITHER, 3-0-1)

This course deals with model building, multiple regression analysis, and related methods useful in a business environment. Microcomputer software will be utilized throughout the course, with necessary computing skills being taught as the course proceeds. However, students are expected to already possess some basic familiarity with microcomputer applications. Prerequisite: STAT 151 or SCI 151. Credit will be granted for only one of MGTSC 312 and STAT 252.

MGTSC 488 - Selected Topics in Management Science

★ 3 (fi 6)(EITHER, 3-0-0)

Normally restricted to third- and fourth- year Business students. Prerequisites: MGTSC 312 or consent of Department. Additional prerequisites may be required.

MGTSC 645 - Introduction to Business Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

The merging of massive data-sets with analytical tools from Statistics, Computer Science, and Operations Research has created the emerging field of analytics. Methods are developing rapidly based on statistical platforms such as SAS and R, or more general purpose programming tools such as Python. This course will build on the basis from MGTSC 501 to provide an overview of Big Data and analytics, and develop programming and methodological skills to acquire, analyze, and present analysis. Prerequisite: MGTSC 501.

OM 420 - Predictive Business Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

Application of predictive statistical models in areas such as insurance risk management, credit risk evaluation, targeted advertising, appointment scheduling, hotel and airline overbooking, and fraud detection. Students will learn how to extract data from relational databases, prepare the data for analysis, and build basic predictive models using data mining software. Emphasizes the practical use of analytical tools to improve decisions rather than algorithm details. Prerequisite: MGTSC 352 or OM 352.

MGTSC 312 - Probability and Statistics for Business

★ 3 (fi 6)(EITHER, 3-0-1)

This course deals with model building, multiple regression analysis, and related methods useful in a business environment. Microcomputer software will be utilized throughout the course, with necessary computing skills being taught as the course proceeds. However, students are expected to already possess some basic familiarity with microcomputer applications. Prerequisite: STAT 151 or SCI 151. Credit will be granted for only one of MGTSC 312 and STAT 252.