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Master of Science in Business Analytics

The Collins College of Business MS in Business Analytics targets the education of students in the analysis, interpretation, and prediction capabilities of large sets of data. This program will help students master the technical tools necessary to perform analysis of a variety of data but will also allow them to specialize in a discipline-specific area. Furthermore, coursework will develop the communication skills of students, a key component to employment and success in the field.

Program Highlights & Requirements

  • Evening based program to accommodate working professionals
  • New cohorts form each fall semester for this 30 hour degree program
  • Full time students can complete the program in as few as 16 months
  • Program includes three weekend workshops to fulfill computational foundations focused on a variety of data analytics and statistical software
  • Incoming students are required to have earned a four year degree in business, engineering, or science from a regionally-accredited university or have a Bachelor’s degree in another field in addition to five years of experience in a technical discipline
  • STEM-certified program (STEM CIP Code – 52.1301)
  • The Business Career Center is available to assist with career placement
  • Students opportunities include participation in the Collins College of Business Mentorship Program, resume reviews, mock interviews, and a variety of student organizations focused on advancing each student’s professional opportunities

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Foundation Courses

 

Applicants to the MS in Business Analytics program are required to have earned a four year degree in business, engineering, or science from a regionally-accredited university or have five or more years of experience in a technical discipline. Students in need of foundation coursework may enroll in the following online Ivy courses provided by The University of Tulsa at a discounted rate prior to beginning the core curriculum. Alternatively, students may choose to participate in traditional classroom based courses, as approved by the Director of Graduate Admissions and Enrollment.

QM 2013 Statistical Analysis

Curriculum (24 Hours)

Students complete all courses

QM 7023 Statistics and Data Visualization
QM 7073 Foundations of Analytics
QM 7053 Regression and Statistical Learning
QM 7063 Data Mining & Predictive Analytics
QM 7083 Business Analytics Practicum
QM 7111 Managing Data Analytics Projects
QM 7003 Business Decision Models
QM 7093 Enterprise Data Systems
QM 7402 Leading & Managing Analytics Organizations

Weekend Seminars

All listed zero-hour weekend seminars must be completed prior to graduation

QM 7010 Seminar in R
QM 7120 Seminar in SAS
QM 7030 Seminar in DecisionTools Suite

Elective Courses (6 Hours)

 

Marketing & Consumer Behavior
MBA 7153 Consumer Behavior
MKTG 7023 Marketing Research
MBA 7133 Innovation & Product Development
MKTG 7013 Problems in Consumer Behavior
Operations Management
MBA 7163 Supply Chain Management
MBA 7033 Operations Management
QM 7053 Simulation & Risk Analysis
Finance
FIN 7073 Empirical Methods in Finance
FIN 7213 Research Tools in Finance
FIN 7023 Investment Analysis & Management
Accounting Forensics
ACCT 6243 Auditing Assurance for Accounting Systems
ACCT 7043 Fraud Detection & Prevention
ACCT 7283 Forensic Accounting & Litigation
ACCT 7113 Information Security: Auditing & Assurance Services
Healthcare
CS 6643 Bioinformatics
CS 6653 Medical Informatics
PSY 7053 Psychometrics
PSY 7343 Research Methods in Psychology
DNP 8053 Biostatistics
DNP 9023 Healthcare Informatics
DNP 9063 Epidemiology
BIOL 6333 Experimental Design
Information Systems
CIS 6073 Information Security
CIS 6043 Database Design & Applications
ACCT 6143 Accounting Information Systems
Energy
MEB 7033 Analytical Tools for Energy Business Management
MEB 7193 Energy Analytics & the Digital Energy Enterprise
GEOL 6083 Introduction to Geographic Information Systems
EMGT 6013 Fundamentals of Energy Markets & Commodities Trading