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.
• What type of jobs can you get with a Master's in Business Analytics? Learn more here.
• What are the differences between an MSBA and an MBA? Learn more here. For an even deeper dive, check out this resource.
• Graduate certificate or a master's degree? Explore what business credential is right for you here.

MS in Business Analytics

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 or our Latin American Achievers 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 community believes that understanding and solving problems requires constant interaction among people who bring diverse contexts and experiences to the conversation.

We value uniqueness, recognize the power and importance of diversity in our own and surrounding communities, and ensure engaged participation. Numerous student groups (such as the Black Graduate Club and Female Leaders Club) and campus resources focus on building inclusive communities. 

Northeastern and D'Amore-McKim offer and partner with organizations that provide scholarships and fellowships to foster diversity and inclusion. This program is eligible for scholarships such as the African Students Access Scholarship, Dr. Martin Luther King, Jr. Graduate Fellowships, and Latin American Achievers Scholarship.

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

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

BUSN 6200 | 0 Hours

Provides eligible students with an opportunity for work experience. May be repeated up to five times.

BUSN 6954 or BUSN 6964 | 0 Hours

Offers graduate students an opportunity to participate in flexible, professional work experiences through micro-internships, an alternative to a traditional corporate residency or co-op. Students demonstrate and enhance their career readiness competencies, explore career paths, and expand their network. These project-centered experiences are primarily remote, involve 10 to 40 hours of work, and are deadline-driven instead of set during specific hours.

BUSN 6970 | 0 Hours

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 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

Designed to give students intense exposure to the global business environment by immersing them in the business practices and culture of a designated country or region. The course is taught primarily in the country or region of interest and involves a mix of classes, company site visits, and cultural activities. Fulfills the globalization requirement in the full-time MBA program. May be repeated without limit.

INTB 6230 | 3 Hours

Introduces the methodological frameworks and tool sets for the design, development, and implementation of data management solutions for business. Offers students an opportunity to work hands-on, applying these methods and tools to solve actual business problems. Almost no aspect of business operates without a strong reliance on the flow of data. Even small enterprises track huge volumes of data, from sales transactions and supply chain activities to website traffic. Knowledge workers and managers at all levels within the organization require an understanding of data management, database design and operations, and associated decision-support and data analysis tools and systems to complete even day-to-day tasks.

MSIM 6201 | 3 Hours

Focuses on modern decision models in business analytics, with applications to business process design, revenue management, pricing, inventory control, business network planning, and other topics. Includes optimization, simulation, and selected data mining techniques. Emphasizes data-driven, real-world applications of mathematical decision tools and concepts.

MSIM 6206 | 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