Graduating Next-Generation, Leading Data Scientists
The B.S. in Data Analytics program has been designed to train outstanding future data scientists. The demand for such graduates and the opportunity for them to play key roles in 21st-century industry and innovation are outstanding. This program is offered by the Department of Data Science and Business Analytics.
Big Data Analytics
Students in BDA learn to collect, manage and optimize large-scale structured and unstructured data sets to facilitate information and decision-making. Students in BDA develop a strong foundation in essential programming skills, quantitative analysis, and hardware and software solutions for facilitating effective use of big data.
Internet of Things
Students explore the network of physical devices from home appliances to vehicles, any objects or systems embedded with devices for communicating electronic information. Advances in IOT serve to improve efficiencies, reduce cost, and enhance the experience of goods and services. The rapid growth in IOT devices impacts nearly every sector of human experience from transportation to agriculture, medicine and, of course, the in-home experience.
Health Informatics concerns the storage, retrieval, use and delivery of health-related data and information across networks of patients and providers. Whether in support of emergency room optimization, patient health-care affordability, or study and prevention of global pandemics, the practice of health informatics is essential to achieving solutions, better delivery and greater knowledge for the benefit of humankind.
Know the Facts
Student Learning Outcomes
After completion of the B.S in Data Analytics, students will:
- have an in-depth knowledge of fundamental data science concepts
- analyze a given data science problem and be able to formulate a correct solution in terms of the datasets needed, the learning techniques required and the software technologies to be utilized
- turn data into actionable insights by using advanced analytics, visualization, reporting and machine learning
- understand relevant statistical concepts and know how to apply these to data science problems in practice
- apply emerging artificial intelligence technologies to applicable problems
Student Data At-a-Glance
|Fall Census Reports|
|Graduates hold degree in Advanced Technology, Program changed its name for 2017-2018 academic year.
Summer 2018—preliminary results
DATA ANALYTICS FREQUENTLY ASKED QUESTIONS
WHAT IS THE FIELD OF DATA ANALYTICS?
The field of data analytics involves the most cutting-edge sectors within information technology. Data analytics extends to multiple areas, including aerospace, automotive, artificial intelligence, biotechnology, computer engineering, computer science, information technology, nanotechnology, nuclear physics, photonics, robotics, semiconductors, and telecommunications.
WHAT DO GRADUATES DO WITH A DATA ANALYTICS DEGREE?
IT professionals are among the most sought-after employees in a range of industries today. From retail to manufacturing and healthcare to transportation, almost every industry relies on data analytics for all aspects of their operations.
WHAT MAKES FLORIDA POLYTECHNIC UNIVERSITY’S DATA ANALYTICS DEGREE PROGRAM UNIQUE?
Students who major in Data Analytics are able to develop specialized knowledge and hands-on skills in information technology (IT). The major is a multi-disciplinary program with an emphasis on practical applications.
WHAT IS THE OUTLOOK FOR DATA ANALYTICS DEGREE GRADUATES?
Because the high-tech sector of the economy develops or uses the most data analytics, it is often seen as having the most potential for growth and as a primary economic driver. Graduates with a degree in data analytics possess the skills and know-how to assist with the back-end, high-tech operations for a range of businesses.