Analytical Tools Track

The Analytical Tools track provides Online Master of Science in Analytics (OMS Analytics) learners with a focused understanding of quantitative methodology. This track is particularly ideal for anyone who wants a deeper knowledge of analytics itself. 

The Analytical Tools track explores the selection, construction, scrutiny, and solution of analytical models with statistics, regression, forecasting, data mining, machine learning, optimization, and simulation. 

The OMS Analytics degree provides the freedom to customize one’s individual Analytical Tools track in order to better align with personal interests, career goals, and practical applications.

Track requirements

 

Introductory Core Requirements 
(9 hours) 

Students with sufficient background in any of these areas may apply to replace one or more of these courses with an elective.

  • CSE 6040 - Introduction for Computing for Data Analytics 
  • ISYE 6501 - Introduction to Analytics Modeling 
  • MGT 8803/6754 - Business Fundamentals for Analytics 
Advanced Core Requirements 
(6 hours) 
  • CSE 6242 - Data and Visual Analytics 
  • MGT 6203 - Data Analytics in Business 

Statistics Electives 
(6 hours) 

Select two courses from the list. 

  • CS 7641 or CSE/ISYE 6740 - Machine Learning/Computational Data Analytics
  • ISYE 6402 - Time Series Analysis 
  • ISYE 6404 - Nonparametric Data Analysis 
  • ISYE 6413 - Design and Analysis of Experiments 
  • ISYE 6414 - Statistical Modeling and Regression Analysis 
  • ISYE 6416 - Computational Statistics 
  • ISYE 6420 - Bayesian Statistics 
  • ISYE 7406 - Data Mining and Statistical Learning

Operations Research Elective
(3 hours) 

Select one course from the list.

  • ISYE 6644 - Simulation 
  • ISYE 6650 - Probabilistic Models 
  • ISYE 6669 - Deterministic Optimization

Elective Courses
(6-15 hours) 

Select at least two courses from the list.

The number of elective hours required depends on how many Introductory Core courses (if any) are replaced with electives.

  • CS 7641 or CSE/ISYE 6740 - Machine Learning/Computational Data Analytics 
  • CSE 6250 - Big Data Analytics in Healthcare
  • ISYE 6402 - Time Series Analysis 
  • ISYE 6404 - Nonparametric Data Analysis 
  • ISYE 6413 - Design and Analysis of Experiments 
  • ISYE 6414 -  Statistical Modeling and Regression Analysis 
  • ISYE 6416 - Computational Statistics 
  • ISYE 6420 - Bayesian Statistics 
  • ISYE 6644 - Simulation 
  • ISYE 6650 - Probabilistic Models 
  • ISYE 6669 - Deterministic Optimization 
  • ISYE 7406 - Data Mining and Statistical Learning

Additional Electives
(beyond first 6 hours) 

Students who take two of these additional electives will also satisfy the requirements for the Computational Data Analytics track, as long as they have also taken CS 7641 or CSE/ISYE 6740 as one of their statistics or track electives.

  • CS 6400 - Database Systems Concepts and Design
  • CS 7450 - Information Visualization
  • CSE 6140 - Computational Science and Engineering Algorithms 
  • CSE 6240 - Web Search and Text Mining 

Applied Analytics Practicum
(6 hours) 

  • ISYE 6748 - Applied Analytics Practicum