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Business Analytics - M.S.

This MS in Business Analytics program aims to equip students with the essential skills for high-demand roles in data-driven industries.

Why Choose the M.S. in Business Analytics?

Data-driven decision-making is at the heart of modern business—and professionals who can transform data into strategic insights are in high demand. Our fully online Master of Science in Business Analytics program offers a flexible pathway to build advanced analytical and quantitative skills while balancing work and life commitments. Students engage with asynchronous course content and weekly live virtual sessions led by expert faculty and peers in the field.

Approved under NYSED 0503.00 Business Statistics, this program provides a graduate-level foundation in data analytics, preparing you for high-demand roles across industries. The curriculum emphasizes technical proficiency, ethical responsibility, and applied decision-making through courses in Programming for Business Analytics, Data Visualization, Data Mining Methods, Statistical and Predictive Modeling, Advanced Machine Learning, and Artificial Intelligence.

You’ll also explore emerging topics such as Social Media Analytics, Supply Chain Analytics, Blockchain and Cryptocurrencies, and Generative AI and Deep Learning. Open to graduates from diverse academic backgrounds, this 30-credit online program can be completed in one year of full-time study (two semesters and one summer session) or at a flexible part-time pace.

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In One Year, Advance Your Career in Business Analytics

The O’Malley School of Business M.S. in Business Analytics program prepares you to thrive in today’s data-driven world—where strategic insight and technical fluency set professionals apart. Designed to accommodate students from diverse academic and professional backgrounds, this STEM-designated program provides the skills and tools needed to analyze complex data, interpret results, and inform critical business decisions across industries.

The curriculum emphasizes graduate-level quantitative methods, aligning with NYSED 0503.00 Business Statistics, and combines foundational business knowledge with advanced data analytics techniques. Students gain hands-on experience in areas such as Programming for Business Analytics, Data Visualization, Predictive Modeling, Machine Learning, Artificial Intelligence, and Supply Chain Analytics.

Through interactive online and hybrid courses, you’ll learn from faculty who bring real-world expertise to the classroom. Students are encouraged to collaborate on research, explore applied projects with faculty mentors, and engage in professional development activities that connect classroom learning with industry practice.

Internships and experiential opportunities are available during the summer and academic year, allowing students to apply analytical insights to real business challenges. Graduates are prepared for high-demand roles such as business analyst, data scientist, operations analyst, marketing analytics specialist, or financial data consultant.

  • Professional Opportunities

    internships nyc

    New York City is one of the most dynamic centers for data-driven business innovation in the world — and Manhattan University graduates are shaping its future. Our alumni work in analytics, consulting, finance, marketing, and technology roles, as well as with emerging startups and nonprofit enterprises that rely on data to drive decision-making.

    Through Manhattan’s strong connections with industry partners, students often secure competitive internships and applied projects that translate classroom learning into real-world experience. These opportunities help students build portfolios that demonstrate their ability to analyze complex datasets and deliver actionable insights.

    Graduates of the M.S. in Business Analytics program are prepared for high-demand roles such as data analyst, business intelligence specialist, data scientist, marketing analytics manager, operations analyst, or strategy consultant. These positions call for professionals who can combine quantitative expertise with strategic vision — the exact skill set you’ll develop at Manhattan University.

  • Find Learning That Matches Your Lifestyle

    Our M.S. in Business Analytics program is entirely online, with asynchronous content and weekly “live” virtual sessions. It is ideal for anyone looking to obtain their Master’s while working full-time. 

    This program can be completed in one year, with classes taken full time in the fall, spring and summer semesters.

  • Build Valuable Skills

    The courses in the M.S. in Business Analytics program provide a strong foundation in statistical reasoning, programming, and advanced analytical modeling for real-world business applications. Students learn to harness data for strategic decision-making through hands-on work in R programming, machine learning, data visualization, and predictive modeling.

    Our curriculum reflects the latest innovations transforming global industries, including generative AI, data mining, privacy and data protection, social media analytics, and blockchain technologies. With coursework that integrates both technical and managerial perspectives, students gain the tools to turn raw data into actionable insights that drive competitive advantage.

    By the time you complete your Business Analytics Capstone, you will have mastered advanced methods in statistical modeling, decision analytics, and project management, preparing you for leadership roles in data analytics across finance, marketing, supply chain, and technology sectors.

  • Feautured Courses
    COURSE Name
    BUAN 510: Foundation Statistics with R for Business Analytics
    BUAN 605: Programming for Business Analytics
    BUAN 606: Privacy and Data Protection
    BUAN 607: Data Visualization and Communication for Business Analytics

    BUAN 610: Data Mining Methods for Business Analytics 

    BUAN 611: Advanced Statistical and Predictive Modeling for Business Analytics

    BUAN 617: Decision Modeling for Business Analytics 

    BUAN 620: Data Management for Business Analytics 

    BUAN 627: Advanced Machine Learning and Artificial Intelligence for Business Analytics 

    BUAN 630: Social Media Analytics 

    BUAN 636: Supply-Chain Analytics 

    BUAN 646: Project Management for Business Analytics 

    BUAN 660: Introduction to Blockchains, Crypto Currencies and Smart Contracts 

    BUAN 667: Generative AI and Deep Learning for Business Analytics 

    BUAN 699: Business Analytics Capstone

     

  • Admission Requirements

    Applicants to the M.S. Business Analytics online program: 

    • Must have undergraduate bachelor’s degree (4-year degree or equivalent) from an accredited college or university is required to apply to the M.S. Business Analytics program. 
    • Should have a cumulative GPA of 3.00 (on a 4.0 scale) and must have at least 36 semester hours of business classes. 

    Required Documents

    The following documents are required when submitting an application, in addition to a $75 non-refundable application fee:

    • Application form
    • Official Transcript(s)
    • A resume that includes examples of academic, co-curricular and extracurricular achievement, which can be used to assess personal qualities and ability to complete the program.
    • A letter of recommendation attesting to the applicant’s intellectual ability, leadership potential and ability to complete the program.
    • Official GMAT or GRE  equivalent score of at least 500 is preferred (waivers may apply). 

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Meet the Faculty

  • Browse Department Faculty

    More than instructors, our faculty combine academic excellence with real-world experience across data-driven industries. They are mentors who bring expertise in areas such as machine learning, data visualization, predictive modeling, and privacy and data protection, giving you firsthand insight into how analytics transforms organizations.