Courses and Degree Outline

Required Courses (12 Hours)

ISAN 5355 – Database Management Systems  
ISAN 5357 – Computing for Data Analytics   
ANLY 5334 – Statistical Methods for Business  
ANLY 5336 – Analytics  
 

Restrictive DAIS Elective (6 hours)

Choose two courses (6 hours) from the following:

ISAN 5364 – Data Warehousing   
ISAN 5367 – Machine Learning   
ANLY 5332 – Optimization for Business Analytics   
ANLY 5335 – Forecasting and Simulation 

Restrictive DAIS Elective (6 hours)

Choose two courses (6 hours) from the following:

ISAN 5358 – Agile Project Management for Business Professionals   
ISAN 5365 – Developing Generative AI Solutions for Business and Innovation   
ISAN 5364 – Data Warehousing

ISAN 5367 – Machine Learning   
ISAN 5369 – Independent Study in Information Systems   
ISAN 5370 – Enterprise Resource Planning and Business Intelligence

ISAN 5395 – Internship in Information Systems   
ANLY 5342 – Probability and Statistical Models   
ANLY 5343 – Data Mining

ANLY 5330 – Statistical Computing   
ANLY 5337 – Supply Chain Analytics   
ANLY 5339 –Analytics Applications in Supply Chain Management

ANLY 5332 – Optimization for Business Analytics   
ANLY 5337 – Forecasting and Simulation   
ANLY 5369 – Independent Study in Analytics

ANLY 5395 – Internship in Analytics

Thesis Courses

ISAN 5399A or ANLY 5399A – Thesis   
  
Choose a minimum of 3 hours from the following:
ISAN 5199B or ANLY 5199B – Thesis 
ISAN 5299B or ANLY 5299B – Thesis 
ISAN 5399B or ANLY 5399B – Thesis 
ISAN 5599B or ANLY 5599B – Thesis 
ISAN 5999B or ANLY 5999B – Thesis 

Core Courses (24 Hours)

ANLY 5332 – Optimization for Business Analytics   
ANLY 5334 – Statistical Methods for Business    
ANLY 5335 – Forecasting and Simulation    
ANLY 5336 – Analytics    
ISAN 5355 – Database Management Systems    
ISAN 5357 – Computing for Data Analytics    
ISAN 5364 – Data Warehousing    
ISAN 5367 – Machine Learning 

Elective Courses (6 Hours)

Management Electives (Choose 3-6 hours from the following courses)   
ANLY 5338 – Operations Management   
ISAN 5318 – Information Technology in Digital Economy   
ISAN 5358 – Agile Project Management for Business Professionals    
ISAN 5390A – Introduction to Design Thinking   
ACC 5361 – Accounting Analysis for Managerial Decision Making   
BA 5351 – Organizational Performance and Competitive Advantage   
MGT 5311 – Process Improvement Management in Organizations    
MGT 5321 – Supply Chain Management    
MKT 5321 – Marketing Management   
MKT 5340 – Digital Marketing

Prescribed Electives (Choose 0-3 hours from the following courses)   
ANLY 5342 – Probability and Statistical Models    
ANLY 5343 – Data Mining    
ANLY 5369 – Independent Study in Analytics    
ANLY 5390A – Statistical Computing    
ANLY 5395 – Internship in Analytics    
ISAN 5358 – Agile Project Management for Business Professionals    
ISAN 5369 – Independent Study in Information Systems    
ISAN 5370 – Enterprise Resource Planning and Business Intelligence    
ISAN 5395 – Internship in Information Systems    
GEO 5301 – Multivariate Quantitative Methods    
GEO 5418 – Geographic Information Systems I    
GEO 5419 – Geographic Information Systems II    
HIM 5311 – Health Informatics and Data Visualization   
HIM 5340 – Healthcare Informatics    
IE 5310 – Advanced Statistical Design of Experiments for Engineers    
IE 5340 – Applied Deterministic Operations Research for Engineers    
IE 5343 – Non-Linear Optimization Techniques for Engineers    
IE 5398C – Data-Intensive Analysis and Simulation for Engineers    
MKT 5322 – Marketing Research Methods    
MKT 5323 – Qualitative Research in Marketing    
MKT 5345 – Marketing Analytics    
MKT 5346 – Contemporary Topics in Marketing Analytics   
MKT 5347 – AI and Data Visualization for Marketing   
QFE 5320 – Econometrics   
QFE 5335 – Financial Analytics   

REQUIRED COURSES:     24 hours    
ELECTIVE COURSES:       6 hours 

TOTAL MSDAIS NON-THESIS:     30 hours 

Comprehensive Examination Requirement

All MSDAIS students are required to take a written comprehensive examination in their last semester of the program.  Students must pass the comprehensive exam during the last semester in at most two attempts. If a student fails to pass the comprehensive exam in two attempts during the final semester, the student will retake the comprehensive exam during the next regular semester.

Students who do not successfully complete the requirements for the degree within the timelines specified will be dismissed from the program.