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MS in Business Analytics
Program Details

Application Deadlines

Applications to the Master of Science in Business Analytics program are reviewed on a rolling basis; apply at any time! However, priority is given to applications that are received by this deadline:  

  • Fall 2026: Feb. 11, 2026

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Admission Requirements

To be eligible for admission to the MS in Business Analytics program you must complete the requirements listed below.

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  • General Requirements
    • Bachelor’s degree from a regionally accredited university with a minimum GPA of 3.0 in the last 60 graded semester units
    • Professional résumé
    • A personal statement detailing your background, motivation and goals. You are encouraged to highlight your analytical background, coursework and work samples, as this information will be valuable for the admissions committee 
    • One letter of recommendation
    • English proficiency for applicants whose preparatory education was primarily in a language other than English (e.g., TOEFL or IELTS). International graduate students must meet the university’s minimum proficiency requirements as defined in the ±¬ÁÏÉçÇø catalog. 
  • Notes on Admission
    • Only regular courses from four-year colleges and universities will be used to calculate GPA — extension courses and community college courses will not be included.
    • The admission committee reviews applications that do not meet all minimum requirements before making an admission decision. 

Connect with a Specialist

If you have specific questions about the program, courses, overall curriculum, potential job prospects, etc., reach out to the MS Business Analytics Faculty Director.

Nima Zaerpour

Nima Zaerpour, Ph.D.
Professor of Operations, Supply Chain and Business Analytics 
Director, MS Business Analytics Program
±¬ÁÏÉçÇø Extended Learning
(760) 750-4272
nzaerpour@csusm.edu


If you have questions about admission requirements, application process, etc., please reach out to the MS Business Analytics Recruitment Specialst. 

Sujeith Ordonez

Sujeith Ordonez, M.A.
Senior Outreach & Recruitment Specialist
±¬ÁÏÉçÇø Extended Learning
(760) 750-8454
sordonez@csusm.edu 

 

business

Funding Options
The business analytics master's degree program is eligible for financial aid.

Visit the funding page or call 760-750-4850 to learn more about your funding options. Active-duty military, veterans and dependents should visit the military services page or call 760-750-8705.

Federal VA educational benefits can be used for this program (not eligible for Cal Vet fee waiver).

FUNDING OPTIONS

Program Costs

Complete the MS in Business Analytics in just three semesters, thanks to guaranteed class availability that ensures no delays in your educational journey. The program consists of 33 units, priced at $900 per unit.  

Invest In Your Future: A Breakdown of Your Master's Degree Costs

Semester Units Subtotal*
Fall Semester 12 $10,800
Spring Semester 12 $10,800
Summer Semester 9 $8,100
Total 33 $29,700

*Not all university semester fees are included in this table—see the comprehensive breakdown of Extended Learning fees. Semester tuition subtotals are based on a sample program sequence. All quoted tuition rates are based on previous academic years and are subject to change without notice.

Courses

This master's program has a set schedule of courses that you are expected to follow as part of your cohort. 

Fall Semester

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  • OM 620: Tools and Technologies for Business Analytics (2)

    Introduces tools and technologies for data analysis and business analytics. Uses analytical software to implement an analytics life-cycle from data acquisition to insight generation. Covers collaboration tools and open-source analytical software for business analytics development.

    Units: 2

  • OM 621: Advanced Visual Analytics (4)

    Teaches techniques to tidy, transform, and visualize data for insight and analysis. Covers dashboard design and dynamic reporting, combining visualization with analytics for decision-making.

    Units: 4

  • OM 651: Customer and Process Analytics (4)

    Focuses on understanding customers and supply chain processes. Teaches how to analyze behavior and optimize business operations using various analytical methods.

    Units: 4

  • OM 652: Introduction to Data Mining (2)

    Covers core data mining concepts applied to business scenarios. Teaches how to extract insights using learning methods for market segmentation, customer retention, and forecasting.

    Units: 2


Schedule is subject to change without advance notice.

Spring Semester

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  • OM 623: Specialized Applications of Predictive Analytics (4)

    Explores machine learning for data-driven decisions. Teaches regression, classification, ensemble models, and feature selection using real-world data and open-source tools.

    Units: 4

  • OM 653: Analytics for Good (2)

    Explores how analytics can address societal and environmental challenges. Applies analytics in public health, sustainability, and disaster management with an ethical framework.

    Units: 2

  • OM 654: Advanced Data Mining (2)

    Covers advanced techniques including anomaly detection, time series forecasting, and deep learning. Focuses on both structured and unstructured business data analysis.

    Units: 2

  • OM 655: Prescriptive Analytics (4)

    Introduces optimization, simulation, and heuristics for decision-making. Teaches linear/integer programming, scenario analysis, and real-world strategy development.

    Units: 4


Summer Semester

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Lead Business Analytics Innovation

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