Program Overview
Program Overview
Students will be required to complete 11 courses. The seven core courses will focus on database administration, predictive modeling and quantitative analysis, communication of analytics, and leadership. Students will complete two electives, consisting of additional predictive modeling courses and case study-based courses that apply analytics to specific topical areas demanded by industry today. Students will finish the program by completing the Foundations of Leadership course and a capstone project, either independently or as a part of a team.
Core Courses (7
courses)
- PREDICT 401-DL Introduction to Statistical Analysis
- PREDICT 402-DL Introduction to Predictive Analytics & Data Collection
- CIS 317-DL Database Systems Design and Implementation
- CIS 435-DL Data Warehousing & Data Mining
- PREDICT 410-DL Predictive Modeling I
- PREDICT 411-DL Predictive Modeling II
- PREDICT 475-DL Project Management
Electives (choose 2 courses)
- PREDICT 412-DL Advanced Modeling Techniques
- PREDICT 450-DL Marketing Analytics
- PREDICT 451-DL Risk Analytics
- PREDICT 452-DL Web Analytics
- PREDICT 453-DL Text Analytics
Other Required Courses (2 courses)
- LEADERS 481-DL Leadership
- PREDICT 498-DL Capstone Project –or - PREDICT 590 Thesis
MSPA students may pursue their capstone experience independently or as part of a team. As their final course, students take either the individual research project in an independent study format (PREDICT 590-DL) or the classroom capstone class in which students integrate the knowledge they have gained in the core curriculum in a project presented by the instructor (PREDICT 498-DL). In both cases students are guided by MSPA faculty in exploring the body of knowledge on predictive analytics while contributing research of practical value to the field. The capstone independent project and capstone class project count as one unit of credit.
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