Business Analytics and Intelligence, MBusAI

Degree: Master of Business Analytics and Intelligence (MBusAI)


Program Overview

Weatherhead School of Management's Master of Business Analytics and Intelligence program is a 10-month, full-time curriculum designed to prepare students for data science and analyst roles in business. With a focus on evidence-based decision-making, the program offers a 30 credit hour curriculum organized into three core areas: Professionalism Core, Analytics Skills, and Business Applications.

Students work with real-world data from industry partners to gain cutting-edge analytics expertise and learn how to extract valuable insights for solving business challenges. The program emphasizes applications in Marketing and Operations; however, the skills acquired are applicable across various business functions and industries.

Through internships, one-on-one mentorships, and professional networking events throughout the year, students interact with industry partners to develop business connections needed to build networks for professional development and growth.

Learning Outcomes

  • Students gain proficiency in analytical tools and models.
  • Students excel at extracting data-driven insights for business problem-solving and decision-making.
  • Students are effective in communicating analytics-based evidence and insights, driving meaningful change in organizations.

Program Requirements

The Master of Business Analytics and Intelligence (MBAI) program is a STEM-designated, 30-credit-hour lockstep degree that can be completed in two semesters, with the option for students to extend their studies across additional semesters. Students complete a prescribed curriculum of analytics courses, along with a capstone project and 4.5 credit hours of the WSOM Professionalism Core.

Prerequisites

Students are expected to have prior undergraduate coursework demonstrating quantitative aptitude, including probability and statistics, programming experience, and at least one course in linear algebra. Students who have not completed linear algebra will be required to take a 1-credit-hour preparatory course.

Combined Bachelor's/Master's

CWRU combined bachelor’s/master’s students may double-count up to 9 graduate credit hours toward the total credit hours required for both degrees. Students should consult with their undergraduate Academic Representative regarding whether any of those 9 credit hours might additionally be substituted for specific major or minor requirements. Students should work closely with both undergraduate and graduate advisors to plan a path for completing both degrees that stays within the allowable maximum credit load per semester.

Required Courses

The program consists of the following courses:a

MGMT 411Professional Development: Skills for Success (Professional Development)0.75
MGMT 412Leadership in Action: Teamwork and Influence (Leadership in Action)1.5
MGMT 413Business Communication: Storytelling for Impact (Business Communication)1.5
MGMT 414Project Execution Skills: Strategies for Real World Problem Solving (Project Execution Strategies)0.75
BUAI 406AOperations Management I1.5
BUAI 407AManagerial Marketing I1.5
BUAI 433Foundations of Probability and Statistics3
BUAI 434Data Mining & Visualization3
BUAI 435Marketing Models and Digital Analytics3
BUAI 444Predictive Modeling3
BUAI 446Machine Learning and Artificial Intelligence in Business Analytics3
BUAI 455Prescriptive Analytics3
BUAI 470Data Management with SQL1.5
BUAI 492Foundations of Python Programming1.5
BUAI 495Capstone Project in Business Analytics (Master in Business Analytics & Intelligence Capstone)1.5
Total Credit Hours30
a

Or any other course as deemed appropriate by the Master of Business Analytics & Intelligence faculty director. STEM courses must be substituted with other STEM courses. Current master's students, see this website for the list of WSOM STEM-approved courses.

Sample Plan of Study

Plan of Study Grid
FallCredit Hours
MGMT 411 Professional Development: Skills for Success .75
MGMT 412 Leadership in Action: Teamwork and Influence 1.5
BUAI 407A Managerial Marketing I 1.5
BUAI 433 Foundations of Probability and Statistics 3
BUAI 434 Data Mining & Visualization 3
BUAI 444 Predictive Modeling 3
BUAI 470 Data Management with SQL 1.5
BUAI 492 Foundations of Python Programming 1.5
 Credit Hours15.75
Spring
MGMT 413 Business Communication: Storytelling for Impact 1.5
MGMT 414 Project Execution Skills: Strategies for Real World Problem Solving .75
BUAI 406A Operations Management I 1.5
BUAI 435 Marketing Models and Digital Analytics 3
BUAI 445 Advanced Marketing Analytics 3
BUAI 455 Prescriptive Analytics 3
BUAI 495 Capstone Project in Business Analytics 1.5
 Credit Hours14.25
 Total Credit Hours30