Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, correlations, market trends, customer preferences and other useful information. It’s a combination of many fields like technology, engineering, science and social science.
But how does this practice convert into real world applications?
“My experience earning my master’s in Big Data Analytics through SDSU Global Campus has been incredibly rewarding,” said 2025 program graduate Stephanie Meza. “The program has allowed me to deepen my understanding of advanced AI techniques and data analytics tools while also providing numerous opportunities to apply these skills to real-world problems. One of the most impactful aspects has been integrating my learning into research, where I’ve been able to critically analyze complex issues and develop actionable solutions. The program has challenged me to think more strategically and creatively, equipping me with the tools to tackle data-driven challenges with confidence.”
While the two most popular industries for big data professionals are business and healthcare, they can be found in a variety of industries, such as:
- Business analytics
- Marketing
- Geographic Information Systems (GIS)
- Digital humanities,
- Bioinformatics
- Data science
- Information technology (IT)
- Social and behavioral science
- Public health
Business Applications
Big data analytics has fundamentally transformed how businesses operate and compete in today’s marketplace. With the global big data analytics market valued at $348.21 billion and projected to reach nearly $1 trillion by 2032, organizations across industries are investing heavily in these capabilities.
Data professionals in business settings serve as strategic advisors, helping companies translate raw information into actionable insights that drive revenue growth and operational efficiency. They design predictive models that anticipate consumer behavior, develop recommendation systems that personalize customer experiences, and create dashboards that visualize complex data for executive decision-making.
The impact is substantial—retailers leveraging analytics can achieve a 60% increase in operating margins, while companies like Netflix save over $1 billion annually through data-driven customer retention strategies. As more organizations recognize the competitive advantage that comes from data mastery—with 91.9% reporting measurable value from their analytics investments—the demand for skilled professionals who can bridge the gap between technical analysis and business strategy continues to surge.
Healthcare Applications
In healthcare, big data analytics is revolutionizing patient care, research capabilities, and administrative efficiency. The market for healthcare big data, valued at $67 billion in 2023, is expanding rapidly with a projected CAGR exceeding 19% through 2035.
Big data professionals in healthcare environments work at the intersection of clinical practice and information technology, developing systems that analyze everything from electronic health records and medical imaging to genomic sequencing and population health trends. Their work enables predictive modeling for disease outbreaks, personalized treatment plans based on patient-specific factors and resource optimization across healthcare facilities. These data scientists and analysts collaborate with clinicians to implement machine learning algorithms that can detect subtle patterns in medical data that might escape human observation, potentially identifying diseases earlier and with greater accuracy.
With the U.S. healthcare system already saving $300 billion annually through analytics, and the clinical analytics market projected to exceed $11 billion by 2025, healthcare organizations are increasingly seeking professionals who understand both the technical aspects of data analysis and the unique challenges of the medical domain.
Why Big Data Analytics is Important
- Enhanced Decision-Making
- Big data analytics enables businesses and healthcare providers to make data-driven decisions, improving efficiency and outcomes
- Predictive Analytics
- In healthcare, predictive analytics helps in early diagnosis and treatment planning, leading to better patient outcomes
- Operational Efficiency
- Businesses use big data to streamline operations, reduce costs and enhance customer experiences
Start Your Journey Today
SDSU’s online Master of Science in Big Data Analytics program is designed for career-driven individuals who are interested in using mathematics and analytics to uncover data sets that can be used to guide business decisions, healthcare policies, engineering projects and much more. The program is flexible, 100% online and efficient, making it ideal for currently-working professionals.
Relevant courses include:
- BDA 594: Big Data Science and Analytics Platforms (3 Units)
- BDA 572: Python Scripting for Social Science (3 Units)
- BDA 602: Machine Learning Engineering (3 Units)
- MIS 686: Enterprise Data Management (3 Units)
- BDA 696: Advanced Special Topics in Big Data Analytics (3 units)
- MIS 691: Decision Support Systems (3 Units)
- STAT 656: Database Management and Predictions (3)
Don’t miss your chance to become a leading professional in the dynamic world of big data analytics. This field is not only at the forefront of technological innovation but also offers unparalleled opportunities for growth and impact. Secure your spot today!
