Northeastern University D’Amore-McKim School of Business’ Master of Science in Business Analytics prepares students to lead in a business world driven by big data.
Make Data-Driven Business Decisions
Students build the skills to know what data to analyze and understand how to leverage that data for strategic decision making. Classwork provides exposure to data mining, statistical and quantitative analysis, multivariate testing, and predictive modeling. Students explore questions such as how to build sales, enhance marketing, or strengthen a company’s infrastructure.
Integrate Classroom and Professional Experiences
Through in-class case studies and a capstone project, professors share real company data so that students apply their knowledge to actual business challenges. They gain unique perspectives as they learn from renowned experts who have led through times of rapid change. Through an optional internship, students translate ideas into action as they complete a project for an organization.
Complete the Degree in as Few as 12 Months
Students complete seven courses throughout the first two semesters and an optional career management class developed by the Graduate Career Center advisor. Students may complete their final three courses over the summer term or have the option to extend their studies and complete their program in the fall term.
Students may enroll in this 30-semester-hour master's degree program for full-time study.
Core Requirements
| Code | Title | Hours |
|---|---|---|
| MISM 6200 | Introduction to Business Analytics | 3 |
| MISM 6202 | Foundations of Data Analysis for Business | 3 |
| MISM 6205 | Data Wrangling for Business | 3 |
| or MISM 6203 | Business Analytics Methods | |
| MISM 6210 | Information Visuals and Dashboards for Business | 3 |
| MISM 6212 | Data Mining and Machine Learning for Business | 3 |
| MISM 6213 | Business Information Design, Quality, and Strategy | 3 |
| MISM 6214 | Business Analytics Capstone | 3 |
Elective Coursework
| Code | Title | Hours |
|---|---|---|
| In consultation with advisor, complete 9 graduate-level semester hours for which prerequisites have been met: | 9 | |
| Global Talent Management | ||
| Operations and Supply Chain Management | ||
| Supply Chain Analytics | ||
| Workforce Metrics and Analytics | ||
MKTG electives as advised | ||
Program Credit/GPA Requirements
30 total semester hours required
Minimum 3.000 GPA required