Degree Duration
Credit Hours
Quantitative Analysis
Gain advanced skills in statistical analysis, mathematical modeling, and computational methods for business intelligence.
Strategic Implementation
Translate data insights into actionable strategies and measurable business results.
Technical Proficiency
Learn industry-standard tools and programming languages essential to modern data analytics.
Optimization Techniques
Apply optimization methods to enhance business performance and operational efficiency.
Machine Learning Applications
Leverage machine learning algorithms to support smarter business decision-making.
The Master of Business Administration in Data Analytics requires 39 semester credit hours:
General Education Courses: 27 credits
Business Core Courses: 12 credits
California Miramar University transformed my career path and opened doors I never thought possible.”
Isabella Alversi – BSBA Student 24’
Our MBA in Data Analytics is officially recognized as a STEM (Science, Technology, Engineering, and Mathematics) program, offering several advantages:
Extended OPT for International Students: International students may qualify for an additional 24 months of Optional Practical Training (OPT), allowing for up to 36 months of work experience in the U.S.
Enhanced Career Prospects: The STEM designation signals to employers that you possess rigorous analytical and technical skills highly valued in the marketplace.
Specialized Knowledge: Gain expertise in a recognized STEM field with applications across virtually all industries.
Competitive Edge: Distinguish yourself with credentials that highlight your quantitative and technical proficiency alongside business acumen.
Our MBA graduates pursue successful careers in various fields including:
MBA-DA PLO #1: Demonstrate both oral and written communication skills in business and technical contexts.
MBA-DA PLO #2: Design, evaluate, and implement operational strategic plans leading to practical solutions based on quantitative analytics of datasets.
MBA-DA PLO #3: Extract and evaluate logical actionable insights from datasets and structures by applying computational, mathematical, and statistical tools and research techniques.
MBA-DA PLO #4: Create and deploy methods of machine learning, optimization, and data science to build analytical models that support decision-making for business management.
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