Ms in Applied Data Science

The Master of Science (M.S.) program in Applied Data Science (MSADS) at the University of Florida is skillfully crafted to meet the burgeoning demand for data science professionals. As businesses and organizations increasingly rely on data-driven decision-making, the need for adept data scientists has surged. This interdisciplinary program is meticulously designed to merge knowledge from vital areas like computer science, statistics, and business, providing students with a comprehensive skillset essential for thriving in today’s technological landscape.

Industry sectors actively seeking graduates with a Master’s degree in Applied Data Science span a broad spectrum, including finance and insurance, healthcare and social assistance, manufacturing, scientific and technological services, and retail trade. These sectors are on the lookout for skilled professionals who can navigate complex datasets and utilize analytical tools to derive actionable insights. By equipping students with relevant expertise, the MSADS program ensures graduates are well-prepared to meet the workforce demands in these dynamic fields.

This non-thesis Master’s program encompasses a total of 30 credit hours, tailored for both students and working professionals who hold a Bachelor’s degree in various non-computing engineering disciplines. Such disciplines include agricultural and biological engineering, biomedical engineering, civil engineering, environmental engineering, and industrial systems engineering, among others. The program is structured to accommodate individuals looking to enhance their career prospects and pivot into the rapidly developing realm of data science.

The curriculum is thoughtfully constructed to include a total of 7 core courses (21 credit hours) that lay the foundational knowledge required in data science. Additionally, students will engage in 2 specialization courses (6 credit hours) focusing on a specific area of interest, culminating in a capstone project (3 credit hours). This capstone serves as a practical application of learned concepts, allowing students to work on real-world projects while interacting with faculty who have a diverse research portfolio. Resources such as the HiPerGator supercomputer facilitate hands-on software experiments, enhancing the learning experience further.

Key Features

The projected benefits of the MS in Applied Data Science program are manifold. Students can expect to develop a versatile skillset applicable to various industries, ensuring they remain competitive and relevant in the job market. The program emphasizes adaptability to evolving technologies, enabling students to respond effectively to industry changes. Furthermore, the program encourages customization and specialization, allowing students to tailor their education to align with their career aspirations.

Among the unique features of the program is the opportunity for students to select from various specialization areas, ensuring they gain expertise pertinent to their interests. The current specializations offered in the MSADS program include:

• Artificial Intelligence (AI)
• Biomedical Engineering
• Agricultural and Biological Engineering
• Data Analytics for Industrial Systems Engineering
• Environmental Engineering
• Transportation

A MESSAGE FROM THE PROGRAM Coordinator

Catia Silva, Ph.D.

Welcome to the Master of Science (M.S.) in Applied Data Science at the University of Florida!

As the program coordinator, I am thrilled to lead a dedicated team of faculty and staff who are committed to your academic and professional success. The MSADS program employs an interdisciplinary approach, skillfully preparing students for success in the ever-evolving field of data science. Our objective is to equip you with the tools and knowledge necessary to navigate complex datasets, extract meaningful insights, and make data-driven decisions.

One of the standout features of our program is the flexibility it offers through specialized tracks. By choosing a specialization area, students can tailor their education to align with their interests and career goals. This customization empowers you to hone in on specific competencies that will be indispensable in your professional journey.

I am eager to guide you on this educational journey and am looking forward to helping you achieve your academic and professional aspirations.

Why Study Applied Data Science at the University of Florida?

• Comprehensive Curriculum: The program encompasses fundamental data science principles alongside specialized areas, ensuring a well-rounded education.
• Expert Faculty: Learn from distinguished faculty members with extensive research backgrounds and industry experiences.
• Advanced Resources: Access to cutting-edge technology and resources, including the HiPerGator supercomputer, enhances the learning experience.
• Industry Connections: Strong ties with leading industries provide internship opportunities and pathways to job placements.
• Alumni Network: Benefit from a robust alumni network that fosters professional connections and mentorship opportunities.
• Flexible Learning: Customize your educational trajectory through specialized courses, enabling a tailored learning experience.

Career Pathways and Job Outcomes

Graduates of the MSADS program can anticipate a wide array of career opportunities. Some of the prospective job roles include:

• Data Engineer
• Database Administrator
• Quantitative Analyst
• Data Scientist
• Business Analyst
• Data Architect
• Business Intelligence Developer
• Data Analyst
• Machine Learning Engineer

With a graduation rate of 89% and an average base salary of approximately $95,000, the program's outcomes reflect the high demand for data professionals in the current job market. Alumni from this program have successfully transitioned into influential roles across diverse sectors, contributing significantly to data-driven initiatives and innovations.

Admission Requirements and Prerequisites

To apply for the MS in Applied Data Science program, candidates must meet the following admission requirements:

• Statement of Purpose: A detailed narrative outlining your academic interests and career goals.
• Passport: A valid passport for identification purposes.
• Resume: An up-to-date resume showcasing your academic and professional experiences.
• IELTS: A minimum score of 6.0 overall, with 9.0 as the maximum, to demonstrate proficiency in English.
• Provisional Certificate and Degree Certificate: Evidence of completed undergraduate studies.
• Letters of Recommendation: Three general letters of recommendation from individuals who can attest to your academic and professional qualifications.

The application deadline for the Fall intake is January 5th, 2025. Prospective students are encouraged to prepare their materials well in advance to ensure a smooth application process and maximize their chances of admission to this prestigious program.