Program Overview

Program Overview

The Business Analytics (MBA/MS) dual degree program at Loyola University Chicago is designed to provide students with the breadth and depth of knowledge required of information systems and business data analytics professionals. This program combines an MBA with a Master of Science in Business Analytics, allowing students to earn two degrees in less time than pursuing them separately.

Curriculum

The curriculum for the Business Analytics (MBA/MS) dual degree program includes:

• Pre-requisite knowledge courses
• MBA introductory courses
  • Financial Accounting for Business Decisions
  • Managerial Economics
  • Financial Management
  • Marketing Management
  • Introduction to Operations Management
• Required MBA core coursework
  • Business Finance
  • Data Driven Decision Making
  • Managing and Motivating in the Workplace
  • Business Communication
  • Leadership Development
  • Research, Insights and Storytelling
  • Business Consulting Course
• Ethics course
  • Select one of the following: Business Ethics, Ethics and Data Analytics, or International Business Ethics
• MS Business Analytics requirements
  • Required courses
    • Business Analytics
    • Database Systems
    • Applied Data Mining and Artificial Intelligence (AI)
    • Data Visualization
    • Programming for Business Decision Making
    • Data Warehousing
    • Managerial Statistics with Artificial Intelligence (AI)
  • Electives (9 hours)
    • Group One (take up to 5 courses)
      • Database Analytics
      • Principles of Analytic Programming
      • Applications of Visualization
      • AI Product Management
    • Group Two (take 0 to 4 courses)
      • Game Theory & Strategy
      • Derivative Securities
      • Applied Econometrics
      • Investment Management
      • Applied Portfolio Management
      • Interest Rate Risk Management
      • Credit Risk Management and Structured Finance
      • Analytical Problem Solving
      • Forecasting Methods with Artificial Intelligence (AI)
      • Project Management
      • Data Driven Decision Making
      • Research Methods in Marketing
      • Digital Marketing
      • Database Marketing Strategy
      • Customer Analytics
      • Marketing Metrics
      • Introduction to Operations Management
      • Global Logistics
      • Purchasing Management
      • Inventory Management
      • Supply Chain Analytics
• Practicum (3 hours)
  • Select one of the following: Applications of Visualization, AI Product Management

Total Hours

The total hours required for the Business Analytics (MBA/MS) dual degree program is 69 hours.

Dual Degree Programs

Students in dual degree programs are responsible for abiding by academic policies and graduation requirements of both academic units to which they are enrolled. It is strongly recommended that students schedule regular meetings with academic advisors from both units to ensure timely degree completion.

Graduate & Professional Standards and Regulations

Students in graduate and professional programs can find their Academic Policies in Graduate and Professional Academic Standards and Regulations under their school. Any additional University Policies supersede school policies.

Learning Outcomes

The learning outcomes for the Business Analytics (MBA/MS) dual degree program include:

• Integrative Business Knowledge: Graduates will be proficient in integrating the techniques, processes, and procedures of the fundamental business disciplines.
• Critical Decision Making: Graduates will demonstrate their capacity for critical analysis in processing, interpreting, and managing the quantitative and qualitative information necessary for effective managerial decision making.
• Ethics and Responsible Leadership: Graduates will understand how to be a leader in business who exhibits personal integrity, ethical awareness, and an ability to apply ethical principles to business practice.
• Global Perspective and Awareness of Diversity: Graduates will have a global perspective by recognizing international business issues and appreciating diversity, including culture, race, religion, and gender.
• Communication: Graduates will be able to communicate effectively, orally and in writing.
• Use data to drive strategic and tactical business decisions
• Utilize sophisticated database, data warehousing, data mining, and data visualization methodologies and techniques to capture and apply data as a corporate asset
• Demonstrate competence with various languages and tools, SQL, R, Tableau, and Python
• Lead, supervise, and manage information systems projects of varying levels of complexity
• Demonstrate effective communication skills with technical and non-technical individuals and groups
• Show ability to effectively collaborate with and provide technical leadership to a variety of business units and organizations
• Demonstrate a high level of technical aptitude in design, development, and use of information systems components
• Integrate values and ethics into data analysis and information systems projects and solutions