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.
Full-Time MS in Business Analytics | Program timeline
Online MS in Business Analytics | Program timeline
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
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,” said David Igbokwe MS in Business Analytics'21
“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,” said Enoska Ventura, MS in Business Analytics‘21
“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.”
- GMAT/GRE required? Northeastern University's D'Amore-McKim School of Business is currently test-optional and does not require applicants to submit GRE or GRE scores. 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? Learn more here.
- 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 Deloitte Foundation Accounting Scholars Program, The Dr. Martin Luther King Jr. Graduate Fellowship, Prospansica MBA Scholarship, Posse MBA Scholarship, and the 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
MISM 6200 | 3 Hours
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 Hours
Covers data wrangling principles and techniques for business. Key topics include data extraction, profiling, cleansing, integration, aggregation, transformation, and automating data processes for business purposes. Applies principles and techniques using data transformation tools, programming languages, and data process automation tools. Emphasizes embedding appropriate communication mechanisms for collaboration for identifying, solving, and resolving challenges revealed in datasets and business processes. Offers students an opportunity to learn data wrangling techniques to identify, solve, and resolve real-world data challenges, creating business value in today's disparate computing and dynamic business environment.
MISM 6205 | 3 Hours
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 Hours
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 Hours
Examines 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 Hours
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 MISM 6214.
MISM 6213 | 3 Hours
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 Hours
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 Hours
Focuses on the integrative management of processes and activities involved in transformation and delivery of goods and services. Offers students an opportunity to obtain foundational knowledge on operations and supply chain management concepts, techniques, and functions. Topics covered include sourcing and procurement, manufacturing and service operations, process design and control, quality management, capacity planning, demand planning and forecasting, inventory management, transportation and distribution management, interfirm relationship management, and attendant information flows.
SCHM 6201 | 3 Hours
Designed to develop strategic decision-making skills using the latest analytics capabilities and enabler. Examines the state of the art in analytics capabilities and how these drive supply chains, from marketing to sourcing. Also examines how organizations use analytics to meet their strategic objectives, provide value to the business, and make decisions. Focuses on industry best practices, including studying some of the leading companies.
SCHM 6215 | 3 Hours
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 Hours
*The curriculum is subject to change by D'Amore-McKim faculty. Please monitor for updates.
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