Data Analytics
The Master of Science in Data Analytics at the University of Miami is a 20-month, part-time program delivered fully online, tailored for professionals who aim to harness the power of data to make informed business and technological decisions. This program focuses on the core competencies of modern analytics, including data mining, machine learning, predictive modeling, and big data technologies. Students develop the ability to extract meaningful insights from complex datasets, interpret patterns, and communicate results effectively to stakeholders in both technical and non-technical environments. Emphasis is placed on both statistical foundations and practical toolsets such as Python, R, SQL, and visualization platforms, ensuring graduates are industry-ready upon completion.
Designed to accommodate working professionals, the online format offers maximum flexibility without compromising academic quality. The program encourages collaborative learning through virtual labs, case-based assignments, and team projects. Faculty members bring a blend of academic excellence and real-world experience, guiding students through both theoretical concepts and hands-on applications. With access to University of Miami’s digital resources and networking opportunities, participants gain a robust foundation in data-driven strategy, preparing them for leadership in an increasingly data-centric global economy.
Key information
Key Facts
- Program Title: Data Analytics
- Degree Type: Master of Science
- Duration: 20 months
- Mode of Study: Part-time, Online
- Application Deadline: 09 December 2025
- Location: University of Miami, United States
- Field of Study: Data Analytics
- Language of Instruction: English
Program Structure
Semester 1 – Core Analytics Foundations
• Introduction to Data Science and Python
• Statistics for Data Analytics
• Data Management and SQL
• Data Visualization Techniques
Semester 2 – Predictive Models and Machine Learning
• Applied Machine Learning
• Regression and Classification Methods
• Time Series and Forecasting
• Ethics in Data Analytics
Semester 3 – Advanced Tools and Technologies
• Big Data Systems and Cloud Platforms
• Deep Learning and Neural Networks
• Natural Language Processing
• Data Security and Privacy
Semester 4 – Strategy, Integration & Capstone
• Data-Driven Decision Making
• Business Intelligence and Strategy
• Industry Project or Capstone
• Elective (e.g., Healthcare Analytics, Marketing Analytics, or Finance Analytics)
Career Opportunities
Graduates of the program are equipped to take on analytical and strategic roles across diverse sectors, including technology, finance, healthcare, marketing, and government. With skills in programming, modeling, data architecture, and communication, they become valuable assets as data analysts, business intelligence specialists, data engineers, or machine learning consultants. The comprehensive and interdisciplinary nature of the program allows graduates to work on projects involving optimization, automation, and innovation within data-heavy organizations. Roles in consulting, supply chain analytics, customer insights, or risk management are also common, with many alumni advancing to leadership positions where they influence organizational strategy through data. The program’s blend of technical depth and business context ensures long-term relevance and adaptability in a rapidly evolving digital landscape.
Why Choose This Program
This program is an excellent choice for professionals seeking to transition into or advance within the growing field of data analytics. The University of Miami combines academic rigor with industry relevance, delivering a curriculum that stays current with emerging tools and methodologies. The part-time, online structure is ideal for working individuals who want to apply their learning in real time while maintaining work-life balance. Instruction focuses on real-world applications, blending case studies with hands-on projects that reflect industry scenarios. Students gain access to a faculty of expert practitioners, a vibrant online community, and university-wide career resources. With its emphasis on both analytical depth and business strategy, the program equips graduates with the technical fluency, critical thinking, and decision-making skills required to lead in data-centric roles across the global economy.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 305 284 2000
Email: admissions@miami.edu
Address: University of Miami, 1320 S Dixie Hwy, Coral Gables, FL 33146, United States
