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 Master's 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.
Master's in Business Analytics 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.
compliant full-time format
months to complete on average
- Gain exposure to data mining, statistical and quantitative analysis, multivariate testing, and predictive modeling
- Apply what you've learned in the classroom to a leading company or startup through a graduate co-op.
- Learn to use tools that may include 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? For the 2021-22 and 2022-2023 academic years, Northeastern University is test-optional and does not require applicants to submit GMAT or GRE scores to be considered for admission. 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.
- Prerequisite coursework? An undergraduate-level, full-semester course in Statistics is required.
- Where do I apply? Apply using this application.
- Interview required? Yes.
Classes begin in September.
Northeastern University's Student Financial Services website is your best resource for the most current and comprehensive information to help prepare you financially.
To view tuition rates, please visit the Northeastern Student Financial Services page. Click the dropdown under “Graduate Programs” and find the cost per credit for the current academic year listed next to “D'Amore-McKim School of Business Programs.”
There are a number of resources to help you finance your Northeastern graduate education, and the Student Financial Services team is here to guide you through the process and make it as simple as possible. Please visit the Graduate Financial Aid page.
Once you are a student, your financial aid advisor will work with you one-on-one to answer your questions, point you to resources and provide valuable insight as you navigate the financial commitments of your program.
At Northeastern, we value and celebrate diversity in all its forms and strive to foster an inclusive culture built on respect that affirms inter-group relations and builds community, which is vital to learning and discovery.
Scholarships and Fellowships
D'Amore-McKim offers and partners with organizations that provide a variety of scholarships and fellowships to foster diversity and inclusion. Examples of these include The Dr. Martin Luther King Jr. Graduate Fellowship, Prospansica MBA Scholarship, Posse MBA Scholarship and Reach Out MBA Fellowship.
Clubs and Organizations
Northeastern has many opportunities for you to be engaged with our community. Examples include the following:
The purpose of the GSCC is to build community for graduate students of color at Northeastern University by promoting education, professionalism, and civic duty. The GSCC fosters student, staff, and faculty relationships to establish a campus home for higher education at Northeastern. Through civic engagement with surrounding communities, the GSCC recognizes the continued struggles of marginalized populations, and the need for those who have succeeded to give back.
Grad Q is a student organization for LGBTQ+ graduate students at Northeastern. Grad Q is focused on building community, social events, advocacy, and mentoring undergraduate students.
We have a number of cultural centers on campus to support our campus community by providing programs, lectures, and events for students with a range of affiliations and interests including the LGBTQA Resource Center, Office of Global Services, Latinx Student Cultural Center, Asian American Center, and many more.
Choose Your Format
Our STEM-designated Master's in Business Analytics program is a rigorous, experience-powered program that takes you from the foundational principles of analyzing data all the way to advanced topics like data mining and modeling. The full-time program is F-1 visa compliant and our online program is designed for professionals who want to study 100% virtually.
Study on our Boston campus and learn to lead in a data-driven environment.
Learn to master big data on your own schedule—from anywhere in the world.
Before you get started
An undergraduate-level, full-semester course in Statistics is required for admission.
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
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.
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
“In just a year, you learn skills that'll prepare you for the career you want when you graduate. This program has helped harness my potential and it has prepared me for a future in business.”
“I started this program without prior technical experience, and I have learned a great deal in my time here. I'm confident it has prepared me to use data analytics to make informed business decisions.”
“Data analytics is becoming one of the most valuable assets in wealth management. Consumer data is growing exponentially every year, and fund managers are required to leverage this data in their decision-making processes.”
“I would recommend this program to anyone considering it..The professors here are also engaging; they're knowledgeable about business and data analytics and that prepares you to become a leader in your field.”
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