Master of Science in Big Data Analytics
The M.S. in Big Data Analytics / Data Science is a 1-year, 30-credit, evening Data Science program in STEM that provides skills that are in-demand in the fast-growing fields of data science including machine learning, big data, predictive analytics, data mining, and data visualization.
The program prepares students to statistically analyze large real-world data sets and derive meaningful results.
The MS Big Data Analytics provides critical skills used in areas such as
- Public Health Statistics
- Applied Sports Analytics
- Financial Markets Analysis
- Biomedical Informatics Research
- Social Networks Research
- Marketing and SEO • New Media
What is the outlook for Data Science Careers?
According to Forbes: The U.S. Bureau of Labor Statistics sees strong growth for data science jobs skills in its prediction that the data science field will grow about 28% through 2026. … And that means demand for data scientists (average salary in USA $111,100) and related positions (research scientists and machine learning engineer) will also go up.
According to Gartner: Data and analytics combined with artificial intelligence (AI) technologies will be paramount in the effort to predict, prepare and respond in a proactive and accelerated manner to a global crisis and its aftermath. … By the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures. … By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling.
According to CIO.com: Data Scientists and Data Engineers, and Machine Learning and AI Engineers are among the
hottest jobs in IT as of 2021.
If you’re interested in learning more about the exciting career opportunities available in the field of data analytics, check out our blog:
STU Big Data Analytics results:
Graduates of the program find success with new careers and career advancement.
Moises Vasquez, Marketing Analyst
The Big Data Analytics program at St. Thomas University is a fast-paced career-changing program. I’m able to apply the skills I learned in the program to real-world scenarios in my job.
Norge Pena, Data Science Faculty
The Big Data Analytics program at St. Thomas University allowed me to become familiar with the latest Statistical Modeling and Data manipulation techniques used in Analytics nowadays. It provided me with the knowledge and expertise to help many students in this community to become data professionals.
The curriculum covers core concepts of computer programming, data mining, machine
learning, data warehousing, and data visualization, all using real-world applications and modern tools.
|Course Number||Course Name||Semester|
|MAT 502||Statistical Methods||Fall|
|CIS 541||Fundamentals of Data Science||Fall|
|MAT 602||Applied Machine Learning||Fall|
|CIS 543||Programming for Data Science||Fall|
|CIS 544||Data Mining and Machine Learning||Spring|
|CIS 548||Data Engineering||Spring|
|CIS 545||Big Data Warehousing||Spring|
|CIS 546||Data Visualization||Spring|
|CIS 626||Big Data Analytics Applications||Summer|
|CIS 627||Big Data Analytics Capstone||Summer|