The University of Texas Rio Grande Valley

Business Analytics and Artificial Intelligence (MS) - Accelerated Online Program

CIP Code

30.7102.00

Overview

The Master of Science in Business Analytics and Artificial Intelligence program will prepare students to solve problems in business and organizational contexts which require the application of information technology to carry out sophisticated business analytics and artificial intelligence (AI) techniques. Students will be knowledgeable and skilled in data selection, collection, preparation and storage, visualization, and analysis using data analytics and AI techniques such as data mining, machine learning, deep learning, text mining, social media analytics, big data, and enterprise analytics. Students will obtain hands-on experience with industry-standard tools and software such as Python, SQL, R and Tableau. Our graduates can find diverse careers in the business analytics and AI professions such as data analysts, business analytics consultants, business intelligence analysts, AI analysts, business analytics managers, big data analytics specialists, data scientists and predictive modelers.

This program is only offered in an accelerated format and is 100% online.

Admission Requirements

To be admitted to the graduate program, prospective candidates must first meet all requirements for graduate admission to UT Rio Grande Valley, as well as the other requirements listed below:

  1. Bachelor's degree from a regionally accredited institution in the United States or a recognized international equivalent in a similar or related field.
  2. Undergraduate GPA of at least a 3.0 in the last 60 semester credit hours.
  3. Applicants with a GPA below 3.0 will be considered on a case-by-case basis.
  4. Official transcripts from each institution attended (must be submitted directly to UTRGV).
  5. One letter of recommendation.

Application for admission must be submitted prior to the published deadline. The application is available at www.utrgv.edu/gradapply.

Program Requirements

Required Courses - 24 Hours

INFS 6350Business Intelligence and Data Warehousing

3

INFS 6351Developing Customized Solutions for Business Analytics

3

INFS 6353Social Media Analytics

3

INFS 6356Data Visualization

3

INFS 6359Unsupervised and Deep Machine Learning for Business Analytics

3

QUMT 6303Statistical Foundations

3

QUMT 6350Applied Machine Learning and AI for Business Analytics

3

QUMT 6360Decision Optimization for Business Analytics

3

Prescribed Electives - 9 Hours

Choose three from the following:

INFS 6333Spreadsheet Modeling for Service Industries

3

INFS 6340Health Computer Information Systems

3

INFS 6342Tools, Methods, and Applications for Managing Healthcare Data

3

INFS 6343Healthcare Analytics

3

INFS 6363Enterprise Analytics

3

INFS 6370Foundations of Deep Learning

3

INFS 6375Applied Generative Artificial Intelligence for Business Analytics

3

INFS 6391Information Security and Risk Assessment Analysis

3

QUMT 6370Big Data Analytics

3

Total Credit Hours: 33