MS in Business Analytics

• 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 GMAT scores. For more information watch this video, or 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.

MS in Business Analytics

2023 Application Deadlines	Decision Notifications	Classes Begin
Nov. 9	Jan. 19	September
Jan. 24	Mar. 15	September
Mar. 21*	May 25	September
Apr. 20	Jun. 15	September

Tuition

Northeastern Student Financial Services publishes the tuition rates for the MS in Business Analytics program. Under the “Graduate Programs” section, the cost per credit appears next to “D'Amore-McKim School of Business Programs.”

Financial Aid

Northeastern's Student Financial Services team will guide you through options to help you finance your graduate education. You can learn more about graduate financial aid options on their website.

Once you become a student, your financial aid advisor will work with you to answer your questions, and provide valuable insight as you navigate the financial commitments of your program.

Scholarships

D'Amore-McKim and Northeastern University offer a variety of scholarships. You'll automatically receive consideration for a merit scholarship. You may also qualify for funding support as an alum, U.S. servicemember, or veteran.

Application Fee Waivers

D'Amore-McKim offers application fee waivers to applicants that meet specific criteria. You can review the policy on the Graduate Application FAQ web page.

• View the tuition & aid page
• View the student financial service page
• Watch our Insights video on scholarships

The D'Amore-McKim School of Business community stands with our university and its leadership in our dedication to cultivating equity and inclusion for all humankind. Understanding and solving our problems requires constant interaction among people who bring their own diverse contexts and experiences to the conversation. Therefore, we must be a diverse, equitable, and inclusive community that values the uniqueness of its members, recognizes the power and importance of diversity in our own and surrounding communities, and ensures their engaged participation.

• View D'Amore-McKim's commitment to diversity

Graduate Student Clubs  

There are numerous university-wide and D'Amore-McKim-affiliated student groups that you may wish to join, and several are grounded in building inclusive communities and resiliency. Many of our graduate business students participate in the Graduate Students of Color Collective, Grad Q, and Out in Business. 

• View D'Amore-McKim Clubs and Organizations
• View Northeastern Clubs and Organizations

Campus Resources

Participate in community-building programs, lectures, and events offered by Northeastern's cultural centers representing a range of affiliations and interests including the LGBTQA Resource Center, Latinx Student Cultural Center, Asian American Center, Office of Global Services, and many more.

• View All Campus Resources

An undergraduate-level, full-semester course in Statistics is required for admission.

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 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

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