Why Study Predictive Analytics
This program is for students interested in building predictive models from data. Students come from various academic backgrounds including economics, business, mathematics, statistics, computer science, actuarial science, engineering, and physics. This program prepares students for employment or further graduate study in areas including statistics, data science, computer science, economics, and engineering.
With the advent of information technology, artificial intelligence, and big data, the demand for data scientists, statisticians, and applied mathematicians has exploded across industries. There is a universal need for individuals with strong problem-solving skills, as well as the ability to communicate complex ideas in clear, nontechnical ways, and the career outlook for these individuals is very favorable.
Our graduates are in demand and have a strong track record for pursuing PhD study or obtaining excellent jobs with companies including Amazon, Nissan, IBM, Goldman-Sachs, FedEx, and American Express.
Admission Requirements
For information related to admission requirements (MS or PSM) or to view the courses within the MS or PSM program, please visit the graduate bulletin.
What Will I Learn
-
Demonstrate advanced understanding of statistics by building and interpreting appropriate statistical and machine learning models from real-world data.
-
Developed skills on modern statistical and data science software, including R, Python, and SAS.
-
Clearly communicate findings in written and oral reports.
Sample Course Plan
Computer Science and Quantitative Methods: Predictive Analytics, MS
Computer Science and Quantitative Methods: Predictive Analytics, PSM