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D'Amore-McKim School of Business

Business Analytics

Master's

Master the predictive power of data to drive business impact. Unlock the power of analytics, AI, and machine learning to solve complex business challenges.

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Program Format
On ground
Time Commitment
Full Time
Duration
12 - 16 Months
Entry Term(s)
Fall
Meets F1 visa requirements
Yes

Program overview

Excel in a data-powered world

Harness data to drive business strategy with a STEM-designated, AI-powered curriculum that blends machine learning, advanced analytics, and real-world applications. Gain hands-on experience through industry partnerships and experiential learning, mastering the tools to extract insights and optimize decision-making. The MS in Business Analytics program equips you with the in-demand skills and practical expertise to lead in the data-driven economy.

Accredited by the Association to Advance Collegiate Schools of Business International—the highest standard of achievement for business schools worldwide.

Capstone project: Tackle real business problems using data-driven solutions for an employer partner during your capstone course. By applying what you have learned, you’ll see how analytics can shape strategic decision-making. Required.

Graduate co-op: Dive into real-world projects at top companies or startups. Apply to work full time during the summer to leverage your data analytics and strategy skills to tackle specific projects, immerse yourself in company culture, and contribute to corporate goals. Optional.

Community Impact Initiative: Use your expertise to make a difference at a nonprofit. Apply to join a team focused on strategic projects; collaborate with senior leadership, project managers, and peers; and help the organization achieve its mission. Optional.

  • Hands-on expertise: Work with real company data in case studies, guided by expert faculty to build confidence and sharpen your thinking.
  • Advanced analytics skills: Master data mining, statistical analysis, testing, and predictive modeling to solve complex business challenges.
  • Cutting-edge curriculum: Learn to lead in a data-driven world through a mix of machine learning, modeling, and real-world applications.
  • STEM designated: This program is STEM designated and F-1 visa compliant. Qualify to apply for Optional Practical Training (OPT) with an additional OPT STEM Extension.
  • Career support: The dedicated career experts of the Graduate Career Center will help you achieve your ambitious goals.

Gain real-world experience and sharpen your financial skills through hands-on opportunities like managing a mutual fund with the 360 Huntington Fund or earning Bloomberg financial certifications. These programs allow you to apply classroom knowledge in practical settings, preparing you for future career success. You can also apply to participate in the AI Strategic Hub Elective, a practicum focused on using data analytics and machine learning to solve real-world business problems, working alongside faculty and employer partners to tackle industry challenges through collaborative analysis and problem-solving.

Admissions

Apply to the program

A graduate degree or certificate from Northeastern can accelerate your career through rigorous academic coursework and real-world professional experience in your area of interest. Apply to take your career to the next level.

*Final deadline for international applicants needing a new F-1 or J-1 visa


Fall Term

Application Deadline:Decision Notification:
Nov. 1, 2025Rolling Basis
Jan. 1, 2026Rolling Basis
May 1, 2026*Rolling Basis

To apply, log in—or create an account—on our application portal, choose your program, and answer a few questions. You’ll need to submit:

  • Application form

  • A personal statement (<=500 words)

  • Resumé

  • Two letters of recommendation

  • Academic transcript(s) from all undergraduate and graduate schools attended

  • An undergraduate-level, full-semester course in Statistics

  • Kira online interview (by invitation, access provided after submitting your application)

  • Optional GMAT/GRE test scores

  • TOEFL, IELTS, Duolingo, or PTE Academic (if applicable)

  • Passport or permanent residency card (if applicable)

Program objectives

Prepare for success

This program builds your technical skills and strategic mindset to analyze data, make smart decisions, and lead innovation in a data-driven business world.

Transform data into insights

Analyze and leverage data to make informed business decisions. Learn cutting-edge techniques in AI and machine learning to solve complex workplace challenges.

Master data-driven strategies to excel in dynamic industries

Build the technical and analytical skills to drive innovation and data-based strategies in fast-changing fields like finance, technology, and healthcare.

Cultivate ethical leadership in data-driven environments

Learn to make informed, ethical, and responsible decisions and harness Big Data to tackle challenges and seize opportunities in tech-driven industries.

Practical application

Leverage real company data in case studies to explore and resolve critical issues, such as sales growth, marketing enhancement, and infrastructure improvement.

Connect with us

Want more information?

We’re here to answer your questions about this program, the application process, and more. Complete the form below to receive additional program details and speak with a member of our enrollment team. 

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Degree building

Stack your credits toward an MBA

If you think an MBA might be in your future, good news: your MS in Business Analytics degree can get you halfway there.

Once your degree is complete and you’ve maintained at least a 3.0 GPA and a minimum grade in each class, you may be able to apply your 30 credits toward an eligible MBA program at Northeastern for up to three years following completion of your degree. Once accepted, you’ll be eligible for the Double Husky scholarship, which reduces your tuition by 25 percent. (Note that your existing master’s degree is not a guarantee of acceptance to an MBA program.)

The eligible master’s program for this program includes:

Contact an enrollment counselor to learn more about eligibility requirements.

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Occupations

Cost of attendance

Tuition and financial aid

  • $56,520
    Tuition in USD

Estimated Total Tuition

This is an estimate based on the tuition rates for Academic Year 2025-2026 and does not include any fees or other expenses. Some courses and labs have tuition rates that may increase or decrease total tuition. Tuition and fees are subject to revision by the president and Board of Trustees at any time. Select programs at select campuses offer additional scholarships of up to 25% off the listed price for domestic students studying on campus. For more detailed information, please visit Student Financial Services.

For students interested in pursuing financial assistance or educational loans, additional educational costs, known as Cost of Attendance (COA) components, can be included in the calculation of aid and loan eligibility. Components may include food, housing, books, course materials, supplies, equipment, transportation, personal expenses, and the cost of obtaining a first professional licensure. You can find comprehensive details on the Student Financial Services website. Please keep in mind that COA can vary significantly depending on academic program, enrollment intensity, and individual circumstances.

There are many ways to pay for your education, including scholarships, financial aid, and more. Connect with a financial counselor to learn about your options and make your dream a reality.

Visit tuition & financial aid

Total Cost of Attendance: This figure reflects the cost-per-credit pricing for the current academic year. The total cost of attendance is dependent on the pace at which students complete the program. Please visit the Student Financial Services site for a more detailed breakdown of pricing per credit and other program fees.

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