Data Science is an interdisciplinary field and incorporates tools and techniques from statistics, computer science, and business. We focus on real-world applications, providing students with hands-on experience analyzing large datasets and developing data solutions to solve problems in healthcare, transportation, finance, and other industries. Our rigorous yet flexible curriculum, experienced faculty, and access to massive datasets prepare students with the skills and experience to step into data science roles after graduating.
On Campus
Data Science & Business Analytics
120
Every Fall and Spring Semester
Core courses include data visualization, data mining, machine learning, statistics, and database systems.
Students learn to clean, integrate, and analyze complex data to gain actionable insights and tell data-driven stories. Elective tracks allow students to specialize in fields like Big Data Analytics, Econometrics, or Autonomous Systems. In the final capstone course, students apply their skills to solve a real challenge for a company or nonprofit. Recent projects include optimizing supply chain management for a retailer, identifying risk factors for hospital readmissions, and designing a recommendation system for an online education platform.
Data Science is an interdisciplinary field and incorporates tools and techniques from statistics, computer science, and business. We focus on real-world applications, providing students with hands-on experience analyzing large datasets and developing data solutions to solve problems in healthcare, transportation, finance, and other industries.
The B.S. in Data Science combines applied mathematics, computer science, statistics, optimization, data mining, and machine learning to give you a broad and much desired skill set. You will gain hands-on experience with tools such as Excel, Python, R, SQL Databases, and Tableau, and be prepared for emerging careers in Data Science and future advanced study.
According to the U.S. Bureau of Labor Statistics (BLS) Data, the employment of data scientists is projected to grow 36 percent from 2023 to 2033, much faster than the average for all occupations.
About 20,800 openings for data scientists are projected each year, on average, over the decade. Many of those openings are expected to result from the need to replace workers who transfer to different occupations or exit the labor force, such as to retire.
The median annual wage for data scientists was $112,590 in May 2024. The median wage is the wage at which half the workers in an occupation earned more than that amount and half earned less. The lowest 10 percent earned less than $63,650, and the highest 10 percent earned more than $194,410.
At Florida Poly, our small campus environment fosters a unique approach to STEM education.
Through a curriculum that progresses from freshman to senior year, emphasizing project-based learning, individualized mentorship with faculty, required internships in high-tech industries, and culminating in a senior capstone design project, students are equipped with comprehensive skills and experiences, uniquely preparing them for success in the rapidly advancing tech landscape.
At Florida Poly, internships aren’t just encouraged—they’re a fundamental part of the educational experience. Mandatory for all students, these internships provide direct engagement with high-tech industry leaders. This immersive experience not only provides practical skills but also fosters crucial connections within the industry, frequently paving the way to future employment opportunities for our graduates.
Florida Poly’s capstone design course is the pinnacle of each students’ academic journey, consolidating their four years of learning into a single project. During their senior year, students in this course collaborate with peers from various fields to tackle real-world challenges supported by industry sponsors. Through this interdisciplinary approach, students not only apply theoretical concepts but also gain practical experience, preparing them for successful careers in their respective fields.
Armed with the knowledge and skills gained at Florida Poly, especially through internships and capstone projects, our alumni smoothly entered thriving careers in high-tech industries. These hands-on experiences offered invaluable insights and practical expertise, enabling our alumni to innovate and excel in dynamic, leading-edge settings, influencing the trajectory of technology.
Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. New computational and analytic approaches to a vast array of forms, scales, and sources of data are now critical to research, decision-making, and action.
Data scientists develop mathematical models, computational methods, and tools for exploring, analyzing, and making predictions from data. They ask appropriate questions about data and interpret the predictions based on their expertise in the subject domain.
The rigorous curriculum in the Data Science program focuses on the fundamentals of applied mathematics, computer science, probability, statistics, optimization, and machine learning while incorporating real-world examples.
The BS in Data Science Program Educational Objectives (PEOs) are:
Student outcomes describe what students are expected to know and be able to do by the time of graduation. Upon completion of the Data Science program, graduates will have the ability to
Faculty to be listed here.
This session will demonstrate that practical risk management is for everyone, regardless of a formal program. Attendees will learn actionable and simple strategies that are easy to implement, enabling them to start immediately by focusing on their top risks to build greater operational resilience and ensure the sustained success of their auxiliary enterprises.
Michelle Powell serves as the pioneering Risk Manager at Florida Polytechnic University, the state’s sole 100% STEM-dedicated institution. Having been with the university for nearly 11 years, Michelle transitioned from a leadership role in Admissions in October 2023 to establish and evolve the risk management function from the ground up. In this solo capacity, Michelle builds robust frameworks for our dynamic, young university, overseeing our insurance portfolio, consulting on third-party and event risks, and developing critical campus-wide training programs. Michelle has obtained the Committee of Sponsoring Organizations (COSO) Enterprise Risk Management certificate and the Associate in Risk Management (ARM) and Construction Risk and Insurance Specialist (CRIS) designations. Her distinct background in mathematics and engineering, combined with extensive higher education leadership, brings an analytical and strategic approach enhancing the institution’s resilience.
