Using data analytics.

Business Analytics M.S.

Master of Science
  • 30 Credits
  • School of Business
  • Manhattan
  • Online
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Students majoring in Finance at ³Ô¹Ï±¬ÁÏ College.

Business Analytics Overview

The Master of Science in Business Analytics prepares its graduates for employment in a high growth area of the economy. The program is for candidates who wish to enter or advance their careers in that field. 

Business Analytics graduates are in high demand, as the business world is undergoing a data revolution. Most companies are now gathering data with the objective of driving business decisions, and there is an identified and pressing lack of skilled graduates at the intersection of business and data science. 

Financial Analyst reviewing numbers for the quarter.

Career Opportunities

  • Financial analyst
  • Management analyst
  • Marketing analyst
  • Operations research analyst
  • Operations manager
  • Analytics consultant                                                          

How a Master's in Data Analytics From ³Ô¹Ï±¬ÁÏ Can Advance Your Career

Data Analytics is one of the most exciting and fast-paced fields of work, and getting a degree in this area is a sure way to an impactful career. At ³Ô¹Ï±¬ÁÏ, we take things a step further with our Data Analytics master's degree. Build your skills in Data Analytics and get career-ready with this master's program.

The many benefits of advancing your education at ³Ô¹Ï±¬ÁÏ include:

  • Accelerate your career: Earning a master's degree in Data Analytics can get you where you need to go, fast. Whether you want to move into a management position or climb the corporate ladder, having an M.S. shows you have the skills and experience to do the job right. Attend most classes with the flexibility of in-person or online synchronous sessions. 
  • Gain hands-on experience: At ³Ô¹Ï±¬ÁÏ, we offer plenty of opportunities to put the skills you've been learning into practice. Our classes allow you to get hands-on experience as you learn and practice with the same tools you'll use in the field. You can also take advantage of many  and  to help you confidently enter the workforce after graduation.
  • Enjoy flexible career paths: A degree in Data Analytics opens the door to careers in many different fields. For example, you can work in engineering, health care or even journalism as a data journalist.

Advance Your Career with Professional Stackable Certificates in Business Analytics

In today’s data-driven economy, business organizations are seeking professionals who can turn information into insight and insight into action. Our stackable Professional Certificates in Business Analytics are designed to accelerate your skill development and prepare you for high-demand roles in the field, while completing the courses fully online.

Three progressive certificates allow you to build expertise in the field step-by-step, gaining valuable, targeted skills at each stage.  A modular learning approach lets you focus on the areas most relevant to your career goals—whether you’re just starting in analytics or seeking to advance your existing skill set.

The journey begins with the Foundations of Business Analytics Certificate, launching Fall 2025, providing you with the essential tools and knowledge to make data-informed decisions.

Advanced Certificate Curriculum Details

CertificateTrackCreditsCourses
Analytics Certificate I (Foundation)Foundation of Business Analytics9
  • MBAA 601 – Quantitative Methods in Business Research
  • ANLC 751 – Introduction to Managerial Analytics
  • ANLC 753 – Data Visualization
Analytics Certificate II (Intermediate)Modeling for Business Decisions9
  • ANLC 752 – Data Management
  • ANLC 754 – Fundamental Modeling Methods for Business
  • ANLC 761 – Risk and Uncertainty Modeling
Analytics Certificate III (Advanced)Business Analytic Applications9
  • ANLC 762 – Advanced Modeling Methods for Business (CC)
  • ANLC 763 – Analytical Tools and Applications
  • ANLC 771 – Customer Analytics or
  • ANLC 772 – Predictive Analytics for Finance or
  • ANLC 773 – Operations Research or
  • ANLC 774 – Project Management or
  • ANLC 775 – People Analytics

Want More Info?

We'd like to hear from you! Get more information.

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4 Core Competencies

  • Business acumen
  • Applied mathematical modeling
  • Computer programming skills (for business)
  • Impactful communication of analyses and results

Admissions Requirements

  • GPA of 3.0 or higher
  • Candidates will submit an application package containing:
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    • Personal Statement ( motivations, career plans, etc.)
    • Academic transcript of bachelor's degree
  • Interview
Business Administrator at work.

Program Outcomes

At the end of this program, students should be able to:

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Students will be able to give accurate descriptions and critical thoughts on how data flows within an organization and how it adds value to the organization

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Students will be able to utilize applicable statistical methods and tools to achieve specific outcomes using data

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Students will be able to develop data-driven stories with the intent to:  inform, educate or persuade through analysis and visual representation of data

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Students will be able to critically think about the role of tools in analytics, current limitations and opportunities (and needs) for growth in data and analytics

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Students will be able to identify ethical pitfalls faced in the utilization, manipulation, and management of data in an organization

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Students will be able to form thoughtful arguments on the role of data, automation, technology and the human processes that achieve optimal balance in decision-making in business

What Sets ³Ô¹Ï±¬ÁÏ Apart?

At ³Ô¹Ï±¬ÁÏ, your graduate school experience doesn't have to end in the classroom. Gain access to extracurricular opportunities like:

  • Student support and counseling services: Going to college, especially graduate school, can be a big transition. We're here to help you navigate this change with student support services and our counseling center. You'll also have your own PACT Mentor to support you throughout grad school, helping with time management, academic advising, tuition remission programs and beyond.
  • Leadership and community service: Engage with some of our many leadership opportunities or help fellow students and the local community through our community service events.
  • Career development services: Get the support you need to succeed with  services. Together, we can determine your best path in business and data analytics after graduation and connect you with a wide selection of internship and job opportunities. Find a career path that best meets your skills while igniting what you're truly passionate about.
  • Networking: You don't have to go far to build meaningful connections at ³Ô¹Ï±¬ÁÏ. As a student, you'll have plenty of chances to network with staff, faculty and other students. Our team also has many connections with employers across numerous industries, including those in data analytics. We're happy to give you the introduction you need to get your foot in the door.

Frequently Asked Questions

The degree can be completed in one year.

This program can be completed fully online. Courses are available synchronously online and in-person at ³Ô¹Ï±¬ÁÏ University's Manhattan campus.

There are a limited number of scholarships available for graduate business students. 

Visit our Scholarships page for additional information.

Yes. Many find the workload challenging but manageable.

No, GMATs are not required for admittance to ³Ô¹Ï±¬ÁÏ’s Business Analytics Program. They may be used optionally.

Students interested in Graduate Business programs should apply using . 

Program Details & Curriculum

Business Analytics Courses: 30 Credits
Total: 30 Credits

  1. Students are expected to develop a comprehensive understanding of how data flows within an organization and how data and associated tools add value to the organization
     
  2. Students are expected to demonstrate the ability to apply quantitative methods to manipulate data in order to formulate strategic insights with it
     
  3. Students are expected to demonstrate effective professional written, oral, and presentation skills of complex quantitative data
     
  4. Student are expected develop a broader perspective of the future of analytics and emerging tools and methodologies
     
  5. Students are expected to evaluate ethical issues in analyzing, utilizing, and managing data
     
  6. Students are expected to develop awareness of the benefits and limitations of data and technology in order to most effectively utilize it in decision-making

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