Program Overview

Master of Science in Data Science

The Master of Science in Big Data Science at St. Thomas University is a 30-credit, 12-month evening program in STEM, designed to provide students with essential skills in high-demand areas such as machine learning, big data, predictive analytics, data mining, and data visualization.

Program Overview

The MS in Big Data Science at STU equips students with the skills to analyze large real-world datasets and derive meaningful insights. It prepares them for careers in areas such as public health statistics, sports analytics, financial markets analysis, biomedical informatics research, social networks research, marketing, SEO, and new media.

Career Landscape

A master’s degree in Big Data Science at STU focuses on skills in machine learning, big data, predictive analytics, data mining, and data visualization. The outlook for data science careers is promising, with strong growth projected by the U.S. Bureau of Labor Statistics and increased integration of data analytics with AI technologies. Graduates of the M.S. in Big Data Analytics program are well-positioned to pursue rewarding careers in data science, research, and engineering fields. Data scientists, data engineers, and AI engineers are among the hottest jobs in IT, according to CIO.com.

In the Classroom

Our students engage in lectures on machine learning, data mining, and cloud computing while applying concepts through hands-on coding. They work with big data tools, analyze real-world case studies, and develop predictive models through collaborative projects. The curriculum also covers mathematics, statistics, and data ethics, with industry guest lectures providing insights into real-world applications and career opportunities.

A distinctive feature of the MS in Big Data Science program at STU is the emphasis on building a professional portfolio through data analysis projects. Students are encouraged to develop and showcase their work on platforms like GitHub and other professional sites. The program actively promotes networking opportunities, connecting students with industry professionals and peers.

Data Science Fast Facts

• 12-month, 30-credit evening program
• Focus on important skills in machine learning, big data, predictive analytics, data mining, and data visualization
• Prepares for careers in various industries, including public health statistics, sports analytics, financial markets analysis, biomedical informatics research, social networks research, marketing, SEO, and new media
• STEM designation with potential 24-month OPT extension for foreign students

Colleges

• STU Online
• Benjamin L. Crump College of Law
• Biscayne College for Liberal Arts and Social Sciences
• College of Health Sciences & Technology
• College of Nursing
• Gus Machado College of Business

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