The Master of Applied Statistics, Plan C, Data Science Specialization emphasizes practical methods in statistics and data science, focusing on applications and computational aspects rather than theory. The goal of this degree is to enable students to start working as data scientists in business, industry, or government immediately after graduation. Students receive a strong background in statistical and business computing while completing this degree. Full-time students complete the M.A.S. degree in less than a year; however, this degree may also be completed part-time, either online or on campus. Students who succeed in the field of data science typically have strong quantitative skills, analytical minds, and like to help others solve problems. 


Effective Fall 2021

Required Courses
CIS 605Business Visual Application Development3
CIS 655Business Database Systems3
STAA 551Regression Models and Applications2
STAA 552Generalized Regression Models2
STAA 553Experimental Design2
STAA 555/STAT 555Statistical Consulting Skills1
STAA 556Statistical Consulting2
STAA 561Probability with Applications2
STAA 562Mathematical Statistics with Applications2
STAA 565Quantitative Reasoning1
STAA 577Statistical Learning and Data Mining2
STAA 578Machine Learning2
Select from the following:3
Data Visualization Methods
Computational and Simulation Methods
Nonparametric Methods
Analysis of Time Series
Select from the following electives:3-4
Business Intelligence
Applied Data Mining and Analytics in Business
Mixed Models
Methods in Multivariate Analysis
Applied Bayesian Statistics
Program Total Credits:30-31

A minimum of 30 credits are required to complete this program.