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Business Analytics - M.S.

The Master of Science in Business Analytics program at Manhattan University is designed to equip students with the essential skills for high-demand roles in data-driven industries. This program aims to provide a graduate-level foundation in data analytics, preparing students for high-demand roles across 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. The 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.

Program Details

• The program is approved under NYSED 0503.00 Business Statistics.
• It provides a graduate-level foundation in data analytics, preparing students 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
  • Artificial Intelligence
• Students also explore emerging topics such as:
  • Social Media Analytics
  • Supply Chain Analytics
  • Blockchain and Cryptocurrencies
  • Generative AI and Deep Learning
• The program is open to graduates from diverse academic backgrounds.
• It is a 30-credit online program that can be completed in one year of full-time study (two semesters and one summer session) or at a flexible part-time pace.

Professional Opportunities

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. 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.

Learning Format

The M.S. in Business Analytics program is offered in a low-residency format with most courses online, featuring asynchronous content and weekly live virtual sessions. It is ideal for anyone looking to obtain their Master's while working full-time.

Building 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
• Predictive modeling

Featured Courses

• 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:

• An undergraduate bachelor's degree (4-year degree or equivalent) from an accredited college or university.
• 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.
  • 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).