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Data is king in today’s digital economy. Business leadership in this disruptive age requires the ability to choose the right data, analyze it skillfully, and leverage it for strategic decisions on ever-shrinking timelines. Our innovative, STEM-designated MS in Business Analytics program—taught with D’Amore-McKim’s signature focus on the tech economy—will prepare you to respond to challenges and deliver successful solutions quickly and confidently.

Program Overview

  • Program Structure: Students will complete 10 core courses; full-time students have the option to complete an additional Career Management course.
  • Class Schedule: Classes are held in the daytime Monday–Friday for full-time students; online courses can be taken anytime.
  • Time to Complete: 12 or 16 months full-time; 20 months online.

Unique Features


designated program


compliant full-time format


months to complete on average

  • Gain exposure to data mining, statistical and quantitative analysis, multivariate testing, and predictive modeling
  • Learn Python, R, SPSS, SQL, and Tableau
  • Explore real company data through in-class case studies
  • Get personalized career guidance from the D’Amore-McKim Graduate Career Center
  • Qualify to work in the United States for up to 36 months after you earn your degree, if you’re an international student (the full-time format is F-1 visa compliant)
  • Apply your credits toward a future MBA at Northeastern (where you’ll qualify for the Double Husky discount) once your master’s degree is complete


  • GMAT/GRE required? Northeastern has a test-optional policy for the 2021-2022 academic year and does not require a GMAT or GRE score to complete an application for admission. Under the new policy, you can decide whether to submit a GMAT or GRE score as part of your admission application. For more information, review our admissions policies.
  • English language proficiency: English proficiency, both written and verbal, is necessary for success in D’Amore-McKim classrooms. For more information, review our admissions policies.
  • Where do I apply? Apply using this application.
  • Interview required? Yes.

Classes begin in September.

Deadlines & Decisions

Find the deadlines and decision dates you need to know. Submit your application by the earliest date possible for priority consideration.

Please visit the Northeastern Student Financial Services page. Click the dropdown under “Graduate Programs” and you’ll find the cost per credit listed next to “D’Amore-McKim School of Business Programs.”

Choose Your Format

Our STEM designated MS in Business Analytics program is a rigorous, experience-powered program that will help you develop critical skills to handle the challenges organizations and businesses face when operating internationally. The full-time program is F-1 visa compliant and our part-time program is designed for professionals who want to study in the evenings.


As a full-time student, you’ll study on our Boston campus as part of a tight-knit class who will learn together throughout the program—and remain a vital network of support throughout your career. Your courses are thoughtfully planned in a set order over three semesters, ending with a challenging capstone project where you’ll apply all the skills you’ve learned as part of a team.

If you’re an international student, you may become eligible to work in the United States for up to 36 months after graduation. You’ll also have the option of taking a no-cost career management class designed to help you acclimate to American work culture and search successfully for employment—it’s one of the benefits our graduates tell us they valued most. The full-time program is STEM-designated and F-1 visa compliant.


Designed for professionals who want to study 100% remotely, our online format allows you to learn in intense seven-week bursts—and complete your degree in 20 months. We’ve honed our online study experience through nearly 15 years of offering business master’s degree programs online, so you can be confident you’ll be engaged, challenged, and supported by the latest in collaboration technology. The online program is STEM-designated.


Optional Career Management Course for Full-Time Students

Delivered by the Graduate Career Center, this course provides students with the tools to manage their careers and job searches. Topics include elevator pitch, resume preparation, career letter writing, types of interviews, and successful preparation and networking. The class also addresses unique considerations of the job search for students studying on a visa. The class also includes a variety of employer panels/speakers to introduce students to various companies, industries, and roles. The class is supplemented with networking opportunities organized by the Graduate Career Center. Must be in a full-time graduate business program to participate in the appropriate section of this class.
BUSN 6200 | 0 credits

Required Courses

Provides a comprehensive approach to understanding how business analytics enable companies to become more competitive. Offers students an opportunity to learn how to apply value chain analysis and other strategic perspectives to determine how business analytics can be integrated effectively into a firm’s operations. Interactive activities such as simulations and case studies allow students to explore how insights from data can improve business decisions. Examines real-world examples of how companies have used business analytics perspectives and tools to enhance different types of business processes, such as inventory prediction, customer service quality, and resolution of ethical dilemmas.
MISM 6200 | 3 credits

Covers basic principles and techniques of descriptive and predictive analytics. What are the essential data analysis concepts underlying business analytics? Topics include descriptive statistics, data visualization, probability and modeling uncertainty, sampling, estimation and confidence intervals, hypothesis testing, analysis of variance, simple and multiple regression analysis, time-series analysis, and forecasting. Emphasizes an understanding of how these tools can support decision making and analytics initiatives in a business context with real-world examples and case studies. Uses various software packages for analyzing data sets and creating visualizations.
MISM 6202 | 3 credits

Introduces key analytics methods for using data through the perspectives of applied statistics and operations analysis. Covers application of these methods to business areas including marketing, supply chain management, and finance. Topics include business-analytic thinking; application of business analytics solutions to business problems; data mining, supervised and unsupervised machine learning; methods for detecting co-occurrences and associations; and achieving and sustaining competitive advantage by using business analytics methods.
MISM 6203 | 3 credits

Introduces design principles for creating meaningful displays of information to support effective business decision making. Studies how to collect and process data; create interactive visualizations; and use them to demonstrate or provide insight into a problem, situation, or phenomenon. Introduces methods to critique visualizations along with ways to identify design principles that make good visualizations effective. Discusses the challenges of making data understandable across a wide range of audiences. Provides an overview of data visualization, key design principles and techniques for visualizing data, and the fundamentals of communication that are required for effective data presentation. Other topics may include ethical uses of information displays, storytelling, infographics, immersive visualizations, and information dashboard design. Offers students an opportunity to use one or more software tools.
MISM 6210 | 3 credits

This course covers communication methods with data for business. Topics include visualization techniques and methods used in practice. Students will learn to use various visualization software tools to explore effective and creative ways of visualizing and communicating analysis processes and results in business. The course emphasizes acquiring and using feedback from multiple stakeholders to most effectively visualize data in a business context.
3 credits

Data mining perspectives and methods in a business context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students use contemporary data mining software applications and practice basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.
MISM 6212 | 3 credits

Covers the leading data practices from early adopters, focusing on innovative information design, data quality, data sharing, and data integration perspectives and methods for managing data and business analytics. Explores how data analytics and management can be strategically implemented to transform a company. Discusses theories and contemporary industry practice, and real-world data and cases are used for discussion and projects. Offers students an opportunity to prepare for problem identification and solution perspectives of data-related projects, gearing up for MSIM 6214.
MISM 6213 | 3 credits

Offers students an opportunity to engage in a real-world project that engages all concepts and methods covered over the course of the business analytics program. Students apply the business analytics knowledge they have gained to collect, visualize, analyze, and manage data from a real company (or companies). Based on their results, students present a proposal for strategic actions to be taken by the company with a viable scope. The project is reviewed by peers, faculty, and external judges from industry.
MISM 6214 | 3 credits


Complete 9 semester hours from the following:

Offers students an opportunity to obtain the insights, frameworks, and tools to effectively manage and develop talent in teams and organizations. Also explores promotion and cross-functional systems that strengthen the organization as well as retention strategies to promote and reward high-quality talent. Managing and developing talent is one of the top three issues on the minds of CEOs from around the world. In fact, CEOs cite managing and developing their leadership talent as the issue that is most important to the future success of their business but that their organizations are least capable of addressing effectively. Offers students an opportunity to engage in various activities intended to illustrate and practice the skills involved in implementing talent management systems.
HRMG 6223 | 3 credits

Introduces informationcentric methods that help to choose which customer markets are worth pursuing; that identify what benefits would be most attractive to offer these customers; and that develop, communicate, and deliver products and services that provide value to both customers and organizations. In the current customercentric marketplace, every member within an organization is responsible for understanding and engaging customers, regardless of their specific functional role. Properly collecting and utilizing data from inside and outside the organization is necessary to support this process. Using real-world cases, scenarios, and data, offers students an opportunity to learn how customer relationships can be created and sustained.
MKTG 6232 | 3 credits

Focuses on the marketing research process and the analysis of data using software applications. Marketing research helps businesses know their customers and aids in business decision making. Covers topics such as problem definition, research design, sampling, attitude measurement, survey design, data collection, and data analysis. Students apply course topics to their organizations and analyze real company customer satisfaction data to provide managerial insights for a decision maker. Cases highlight the research process, mobile qualitative methods, and practical decision-making skills. SPSS, Qualtrics, and IBM Watson Analytics may be used to develop and analyze the project components.
MKTG 6294 | 3 credits

Addresses the question of how you know if and when your company’s marketing initiatives are impacting customers and creating profit. Covers customer performance measurement, modeling, and feedback systems managers can use to take smarter risks by assessing the marketing initiatives and forecasting profit potentials. Offers students an opportunity to learn how to develop marketing dashboards, through which marketing productivity and profits can be assessed and evaluated. Also covers strategy and tactics that can be developed and communicated, with accountability in mind.
MKTG 6295 | 3 credits

Introduces how to measure and manage a workforce strategically, including (1) identifying the strategic work that is truly necessary to execute firm strategy; (2) investing in differentiated management systems that support that work; and (3) designing and implementing targeted measurement systems, such as human resources function and workforce scorecards, designed to help to hold line managers accountable for strategic talent. Emphasizes helping students move from a focus on levels associated with a particular workforce attribute (e.g., what is our cost per hire?) to understanding the impact of the workforce on business-level outcomes (e.g., how might an increase in the quality of our project managers affect new product cycle time?).
STRT 6210 | 3 credits

*The curriculum is subject to change by D’Amore-McKim faculty. Please monitor for updates.

Meet Some of Our Students

“I feel like I know my fellow classmates and I have gotten to know my professors as well, in many ways better than I might have in a classroom-based course,” says Remley, “there is constant interaction that really supports and enhances the learning.”

“Data technology and business needs are changing so fast that you can’t be good at just one thing. There’s always going to be a new tool, a new framework. The MS in Business Analytics program will push you to pick up new skills”

“Taking the program online allowed me to set my own work time, which for me is after my son goes to bed, and that was a tremendous help. I developed relationships with some of my professors and classmates that are just as strong as if we had been in a brick-and-mortar classroom together.”

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