Courses and Degree Outline

M.S. in Data Analytics and Information Systems

Thesis Option

Core Courses (27 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
ISAN 5399A or ANLY 5399A – Thesis 


Thesis Courses (3 hours from the following courses) 

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 

REQUIRED COURSES:     24 hours 
GRADUATE THESIS:       6 hours 


TOTAL MSDAIS THESIS:     30 hours 


Non-Thesis Option

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   
GRADUATE THESIS:       6 hours 


TOTAL MSDAIS THESIS:     30 hours 

M.S. in Data Analytics and Information Systems

PROGRAM CONTACT
Dr. Jaymeen Shah
Department of Information Systems and Analytics
McCoy Hall 209
512.245.3230
js62@txstate.edu