MASTER OF BUSINESS ADMINISTRATION: DATA ANALYTICS
Transform Data into Strategic Business Decisions.
Develop the expertise to lead data-driven decision-making with our STEM-designated MBA in Data Analytics — designed for the modern business professional.
Estimated Annual Tuition: $15,138 (based on one academic year)
2 years Degree Duration | 39 Credit Credit Hours
Master the Art and Science of Data-Driven Decision Making
Quantitative Analysis: Develop advanced skills in statistical analysis, mathematical modeling, and computational methods for business intelligence.
Strategic Implementation: Learn to translate data insights into actionable business strategies and measurable results.
Technical Proficiency: Master industry-standard tools and programming languages essential for modern data analytics.
Optimization Techniques: Apply optimization methods to improve business performance and operational efficiency.
Machine Learning Applications: Understand how to leverage machine learning algorithms to support business decision-making.
Program Structure:
The Master of Business Administration requires 39 semester credit hours:
- Core Courses: 27 credits
- Concentration Courses: 12 credits
Program Duration:
- Typically 2 years but it can be completed sooner depending on course load.
Format Options:
- Fully online and hybrid classes
- Eight-week accelerated course sessions
- Multiple start dates throughout the year
Core Business Skills Include
- Organizational Development and Change
- Management Information Systems
- Marketing Management
- Capstone Business Planning Project
- Operations Management
- Human Resources Management
- Managerial Accounting
- Managerial Economics
- Managerial Finance
Data Analytics Courses Include
- Introduction to Programming with Python
- Optimization for Business Performance
- Data Science and Analytics
- Machine Learning
Admissions
- Minimum 2.5 GPA
- Bachelor Transcripts and Graduation Certificate (Provisional and Final)
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| Course No. | Course Title | Credit Hour |
| MIS 6110 | Management Information Systems | 3 |
| MKT 6130 | Marketing for the Digital Age | 3 |
| ORG 6011 | Organizational Development and Change | 3 |
| ACC 6140 | Managerial Accounting | 3 |
| ECO 6150 | Managerial Economics | 3 |
| FIN 6165 | Managerial Finance and Financial Technologies | 3 |
| MGT 6170 | Operations Management | 3 |
| HRM 6180 | Human Resource Management | 3 |
| BUS 6190 | Capstone (Business Planning) | 3 |
| Course No. | Course Title | Credit Hour |
| ACC 1202 | Principles of Accounting | 3 |
| ECO 2501 | Principles of Microeconomics | 3 |
| FIN 4310 | Financial Management | 3 |
| BUS 3151 | Business Statistics | 3 |
CMP 5001 Introduction to Programming with Python
This course provides the foundational skill set required to write and code computer programs. The basics of editing and running programs, testing and debugging strategies are covered. Key concepts in programming are covered, including variable types, control structures, functions, and object-oriented programming. Python is used throughout as the language to implement codes. The use of the most important Python libraries is discussed. (3 semester credit hours)
**CMP 5005 Optimization for Business Performance
This course aims to familiarize students with Optimization and Data Analytics tools for Business Decision analysis and improvement. The emphasis is on models that are widely used in diverse industries and functional areas, including Supply Chain Operations, Finance, Accounting and Marketing. The goal of the course is to present what every manager should know about optimization modeling and the rational approaches to decision making and their contribution to organizational effectiveness. It will also enable the students to become intelligent users of management science techniques where the emphasis will be placed on how, what and why certain tools are used and their ramifications when used in practice. (3 semester credit hours)
**Perquisite: MIS 6110 Management Information Systems
CMP 5007 Data Science and Analytics
The Data Science and Analytics course is a comprehensive course designed to provide students with a solid foundation in the fundamental concepts, techniques, and applications of data science. Through a combination of theoretical instruction and hands-on practical experience, students will develop the necessary skills to effectively analyze and interpret complex data sets, derive meaningful insights, and make informed business decisions. (3 semester credit hours)
***AI 5012 Machine Learning
The modules in the subject provide knowledge and skills to elicit raw data and project trends and predictions. It builds on Data Science and provides the end-to-end process of examining data through a machine learning lens. It covers important machine learning algorithms, and how to evaluate the performance of these algorithms. Contents include Regression, Classification, Gradient Descent, Ensemble Methods, the Kernel Trick, Clustering, and Neural Networks.
(3 credit hours)
***Perquisite: CMP 5001 Introduction to Programming with Python
Program Locations
San Diego
What’s at Stake
Why Your MBA in Data Analytics Matters
Without integrated business analytics education, your ability to connect data insights to strategic business decisions may be limited as organizations increasingly require both technical and managerial expertise.
Career Advancement
Qualify for management analyst, financial advisor, healthcare administrator, and other high-level positions.
Strategic Influence
Develop the ability to influence organizational strategy through data-driven insights.
Competitive Advantage
Master skills that set you apart in a market increasingly reliant on data analytics.
Income Potential
Position yourself for roles with higher compensation due to specialized technical expertise.
Advance your career!
Up skill your career with technical as well as business knowledge for today’s world.
The Master's Capstone Experience
The Capstone Project represents the summation of your work at California Miramar University and provides tangible evidence of your readiness for data-driven leadership roles.
Requires application of data analytics techniques to real business challenges
Evaluates current corporate strategy through a data-driven lens
Develops evidence-based recommendations using quantitative analysis
Integrates business knowledge with advanced analytical methods
Demonstrates your ability to transform data into strategic value
Admission Requirements
- Bachelor's degree from an accredited institution with minimum 2.5 GPA
- Official academic transcripts
- Transfer students welcome from accredited institutions
- International students with equivalent education (NACES evaluation required)
- English proficiency requirements for non-native speakers
Prerequisite Courses (if required):
- Financial Management
- Principles of Microeconomics
- Business Statistics
- Principles of Accounting
STEM-Designated Program Benefits
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.
*Currently not enrolling F1 students
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.
Graduates of the MBA in Data Analytics program will be able to:
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
For Military Students
Dedicated advisors familiar with military educational requirements
Evaluation process for relevant military training
Accommodating class schedules and learning options
For Transfer Students
Transfer up to 18 credits
Prior learning assessments
Accelerated path to completion
Seamless transition to Master's programs
Transfer Credits Easily
Our admissions team will work with you to ensure you get credit for what you already know, so you can focus on what you need to learn.
Frequently Asked Questions
Program Basics
Upon successful completion of the program, you will earn an Master of Business Administration in Data Analytics (MBA-DA) from California Miramar University.
The MBA-DA program requires 39 credit hours.
The standard program duration is 2 years, though it can be completed sooner with a transfer credit evaluation.
We offer flexible classes designed for your busy schedule, including:
- Online options
- Hybrid formats
- Multiple start dates throughout the year
Our locations include:
- San Diego
- La Puente
- San Jose
Admission Requirements
To be considered for admission to the BSBA program, you need:
- High school diploma or equivalent with minimum 2.5 GPA
- Official academic Bachelor transcripts
- English proficiency (for non-native speakers)
- Maximum transfer of 90 credit hours
- Prior learning assessments
- Accelerated path to completion
| Course No. | Course Title | Credit Hour |
| ACC 1202 | Principles of Accounting | 3 |
| ECO 2501 | Principles of Microeconomics | 3 |
| FIN 4310 | Financial Management | 3 |
| BUS 3151 | Business Statistics | 3 |
Tuition & Enrollment
The estimated annual tuition is $15,138 (based on one academic year).
Classes start every two months, providing multiple entry points throughout the year. Classes start every two months, providing multiple entry points throughout the year.
You can begin your journey by clicking the "Begin Your Journey" button on our website, or by contacting our admissions office directly.
Yes, our academic calendar consists of six class sessions that span across eight week courses.
Attached are the following deadlines:
- Summer 1: May 1, 2026
- Summer 2: June 26, 2026
- Fall 1: August 28, 2026
- Fall 2: October 30, 2026
STEM Designation
Data Analytics Curriculum
- Programming with Python
- Data analysis and visualization
- Statistical modeling
- Machine learning applications
- Optimization techniques
- Business intelligence tools
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Transform your career with skills employers demand!
Our graduates don’t just earn degrees—they land opportunities. Applications for our Summer and Fall 2026 programs are now being accepted.
Limited enrollment to ensure personalized attention and optimal learning outcomes.*
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Upcoming Deadlines
We offer spring and fall start dates for our most popular programs.
Summer 2 Enrollment Deadline: June 26, 2026
Fall 1 Enrollment Deadline: August 28, 2026
Contact Us
Our team of advisors is ready to answer your questions, so if you’d like to talk to an enrollment director, please contact us.