Graduate Certificate in Business Analytics

• Interview required? Upon request.
• 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.
• GMAT Required? No.
• Where do I apply? Learn more here.
• Eligible for International Student Visa? No. This program is not F-1 visa compliant.
• Is a graduate business certificate worth it? Learn more here.
• Graduate certificate or a master's degree? Explore what business credential is right for you here.

Campus-Based Graduate Certificates

Application Deadlines	Decision Notifications	Classes Begin
Sept. 26, 2024	Rolling Basis	January
Oct. 24, 2024*	Rolling Basis	January
Dec. 5, 2024	Rolling Basis	January
Jan. 9, 2025	Rolling Basis	September
March 27, 2025**	Rolling Basis	September
May 15, 2025	Rolling Basis	September
June 26, 2025	Rolling Basis	September
Aug. 7, 2025	Rolling Basis	September

Tuition

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

Financial Aid

Northeastern offers resources to help you finance your graduate education, and the Student Financial Services team will guide you through your options. 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.

Scholarships

Northeastern University has a variety of scholarships. As a graduate certificate applicant you may be eligible for the Full Circle 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 and campus resources focus on building inclusive communities. 

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

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

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