Master of Science in Business Analytics

business analytics

The Collins College of Business Master of Science 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 requirements in the Course Bulletin

  • Program Highlights and 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
  • 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 7503 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 7020 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
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