Business Analytics and Artificial Intelligence

  • MS
  • Master's
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Turn data into decisions.

Data is at the heart of modern business — and organizations need professionals who can transform information into insight. The STEM-designated M.S. in Business Analytics and Artificial Intelligence at Montclair State University’s Feliciano School of Business, offered in both online and hybrid formats, equips you with advanced skills, hands-on experience, and the confidence to solve complex business challenges.

Learn from experts, apply in practice.

Led by faculty with industry expertise, the program blends theory with real-world application. Through a rigorous curriculum and an embedded capstone, you’ll build proficiency in statistical data analysis, data visualization, machine learning, and artificial intelligence using tools such as Python, Tableau, Power BI, and Excel. These capabilities are applied directly to solve complex business problems, while you also develop valuable connections with employers and professionals. You’ll also take a 3-5 day domestic trip, allowing you to experience how leading organizations apply analytics to their business.

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Flexible pathways, powerful outcomes.

This 30–31 credit cohort-based program can be completed:

  • Online for flexibility in as few as 21 months
     
  • Hybrid full-time for immersion in as few as 16-24 months
     
  • Accelerated 4+1 option for eligible Montclair undergraduates in as few as 12 months post undergraduate completion

Learning Options

The M.S. in Business Analytics and Artificial Intelligence offers flexible pathways to fit your schedule and goals. Choose a fully online program or a hybrid format that combines in-person and online learning — all designed to help you build advanced analytics skills on your terms.

Designed for working professionals and students seeking maximum flexibility, this pathway allows you to complete the program in as few as 21 months with a Fall start. The program is delivered fully online, offering the flexibility to complete your degree without the need to be on campus. You will take the same rigorous courses taught by expert faculty as on-campus students, applying analytics to real business challenges. Interactive online coursework and projects keep you engaged and connected, while the embedded practicum provides valuable hands-on experience solving data-driven problems for real organizations. 

See the curriculum.

The full-time hybrid option blends the flexibility of online coursework with the value of in-person classes. You may begin the Full-Time Hybrid program in Fall or Spring semesters and complete it in as few as 16-24 months. This format allows you to engage directly with faculty and peers on campus while still enjoying the convenience of online learning. You will benefit from live interaction with faculty and peers, networking opportunities, and experiential components like the practicum course, where you apply analytics to real-world business projects. The hybrid pathway is ideal if you want the best of both worlds—face-to-face collaboration and the flexibility to balance school with work or other commitments. 

See the curriculum.

Program Features & Benefits:

  • Cohort-based structure with a clearly defined course schedule
  • Opportunities to engage with industry leaders and executive speakers through workshops and campus events
  • 3–5 day domestic trip offering exposure to top organizations in the analytics field and real-world applications of analytics
  • Free tutoring support for MS Analytics students
  • Career guidance and access to job and internship opportunities via Handshake
  • Experiential learning integrated directly into coursework

Preparing You for What’s Next

Graduates are prepared for careers such as:

  • Business and Data Analysis — transforming data into actionable insights
  • Analytics and Consulting — advising organizations with data-driven strategies
  • Data Science and Artificial Intelligence — creating predictive and intelligent systems
  • Market Research and Business Intelligence — identifying trends and opportunities across industries

Newly Accepted students to this program are required to successfully complete the online Basic Statistics Foundation Module prior to beginning the program and registering for program courses. The Basic Statistics Module is an online self-paced module (which you can anticipate will take 25-30 hours to complete) that serves to renew and/or update statistics knowledge in order to be prepared and successful in your program.

Admission Requirements

  • Equivalent of a U.S. bachelor's degree.
  • Applicants with non-U.S. degrees: Please visit the international applicants page to review U.S. degree equivalency information.
  • We are seeking students with strong quantitative abilities and a desire to leverage analytical tools and technologies to uncover business solutions.
  • Newly Accepted students to this program are required to successfully complete an online Basic Statistics Foundation Module prior to beginning the program and registering for program courses. The Basic Statistics Module is an online self-paced module (which you can anticipate will take 25-30 hours to complete) that serves to renew and/or update statistics knowledge in order to be prepared and successful in your program.

Application Checklist

Application Deadline: Rolling Admission. Must be completed two weeks prior to the first day of the semester. You can learn more about the first day of classes by visiting our Academic Calendar. Completed applications should expect to receive an admission decision within 14 business days. Please note that the current semester is our priority, and if you applied 6 months or 1 year in advance, it can take up to 30 days or longer to receive a decision. Hybrid: Fall and spring Online: Fall only 4+1: Summer (must be in a combined program in degree works and meet the requirements)

  1. Online Application: Submit application and $60 non-refundable fee (or waiver if applicable).
  2. Transcript: One from each college attended.
  3. Essays/Personal Statement:
    • Please explain how pursuing a graduate program in Business Analytics and Artificial Intelligence is a fit with your work and educational background. If you plan to change careers, please describe your interest in Business Analytics and Artificial Intelligence and why you believe the program is right for you academically and professionally.
    • What are your career aspirations and what do you hope to gain from this program upon graduation?
  4. Resume: Required.
  5. Letters of Recommendation: Two required.

Alumni Feature

Marie Kouassi portrait.
When I started this program, I didn’t even know how to write a single line of code. Today, I can confidently write in Python and understand code. For me, the flexibility and the cohort model made all the difference.

Marie Kouassi

Program: Business Analytics, 2021:

Career: Business Transformation Consultant, IBM:

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Related Programs

Questions? Find the right contact below.

Connect with our enrollment teams for personalized guidance on admission requirements, the application process, key dates, and your next steps toward enrollment.

For the Hybrid Program

Get help with requirements, deadlines, documents and the application process for on-campus and hybrid programs.

For the Online Program

Get help with requirements, deadlines, documents and the application process for fully online programs.

Program Coordinator: Dr. Marina Johnson

Explore the curriculum, faculty, research and outcomes. The Program Coordinator can help you connect the program to your goals.