
MANAGEMENT
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:
To be eligible for admission to the MS in Business Analytics program you must complete the requirements listed below.
If you meet any of the criteria below, you may petition a GMAT/GRE waiver:
If you do not meet any of the criteria above or you would like to strengthen your application by submitting standardized test scores, here are our GMAT and GRE requirements:
GMAT Minimum Requirements:
GRE Alternative:
The scores will be converted to comparable GMAT scores using the GRM Comparison Tool for Business Schools
Set up an appointment with your enrollment specialist to learn how you can take advantage of the MS in Business Analytics program.
Sujeith Ordonez, M.A.
Senior Outreach & Recruitment Specialist
±¬ÁÏÉçÇø Extended Learning
(760) 750-8454
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 $875 per unit.
Invest In Your Future: A Breakdown of Your Master's Degree Costs
Semester | Units | Subtotal* |
---|---|---|
Fall Semester | 12 | $10,500 |
Spring Semester | 12 | $10,500 |
Summer Semester | 9 | $7,875 |
Total | 33 | $28,875 |
*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.
This master's program has a set schedule of courses that you are expected to follow as part of your cohort.
Fall Semester
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
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
Focuses on understanding customers and supply chain processes. Teaches how to analyze behavior and optimize business operations using various analytical methods.
Units: 4
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
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
Explores how analytics can address societal and environmental challenges. Applies analytics in public health, sustainability, and disaster management with an ethical framework.
Units: 2
Covers advanced techniques including anomaly detection, time series forecasting, and deep learning. Focuses on both structured and unstructured business data analysis.
Units: 2
Introduces optimization, simulation, and heuristics for decision-making. Teaches linear/integer programming, scenario analysis, and real-world strategy development.
Units: 4
Summer Semester
Covers big data management with virtual platforms. Includes Hadoop, distributed processing, and real-world applications in scalable analytics.
Units: 4
Provides hands-on machine learning using open-source tools. Covers regression, classification, meta-models, feature selection, and dimension reduction for strategic decision-making.
Units: 4
Assesses students' mastery of the MSBA curriculum. Includes review and practice across key topics from all core courses. Culminates in a comprehensive exam to validate readiness for industry applications.
Units: 1