Florida State University MS in Interdisciplinary Data Science

Florida State University offers a 30-credit MS in Interdisciplinary Data Science with required coursework in machine learning, data mining, statistics, mathematics, and data ethics. The campus-based program can be completed in 16 months and offers elective paths in computer science, scientific computing, computational linguistics, mathematics, and statistics.

Quick Facts

SchoolFlorida State University
LocationTallahassee, Florida
DegreeMS in Interdisciplinary Data Science
Credits30 credits
FormatCampus
Estimated TuitionAbout $14,380 resident / $35,216 nonresident
Length16 months (3 academic semesters)
ML / AI FocusStrong: required Machine Learning and Data Mining, plus AI and deep learning electives

Curriculum

All students complete 18 credits of core coursework and at least 12 credits of electives. The core gives every student direct training in machine learning and data mining rather than limiting AI topics to optional courses.

Students use the remaining 12 credits to build a major area. Current options include computer science, scientific computing, computational linguistics, mathematics, and statistics. Depending on the path, electives can include Artificial Intelligence, Deep and Reinforcement Learning, Advanced Data Mining, AI Methods and Application, high-performance computing, and advanced statistical methods.

Credits and Program Length

The course-based degree requires at least 30 credits. FSU states that students can complete it in 16 months across three academic semesters. The program expects most students to follow the non-thesis, course-based route.

Tuition and Cost

FSU lists the IDS master’s as a self-pay program. Using FSU’s published 2025–2026 main-campus graduate rates, 30 credits would cost about $14,380 for Florida residents at $479.32 per credit or about $35,216 for nonresidents at $1,173.86 per credit. These are estimates based on the required credits and published base graduate rates. Semester fees and course- or program-specific charges can increase the final cost.

Admissions

Applicants need a bachelor’s degree and a minimum 3.0 GPA in the final 60 undergraduate credit hours. FSU expects prior coursework through Calculus II and introductory statistics, plus experience with an object-oriented programming language, preferably Python or R. Linear algebra is recommended but not required.

The application also requires a statement of intent, CV or résumé, and three recommendation letters. The GRE is not required. For 2026 admission, FSU lists a January 15 deadline for international applicants and July 1 for U.S. citizens.

Machine Learning, AI, and Data Science Focus

This program is a strong fit for MastersInMachineLearning.org because machine learning is part of the required core. Every student takes Machine Learning and Data Mining, while several elective paths add Artificial Intelligence, Deep and Reinforcement Learning, advanced data mining, probabilistic modeling, or AI applications. The computer science path offers the clearest route for students who want heavier AI coursework.

Campus Format

FSU states that the curriculum is delivered exclusively at its Tallahassee campus. This is a campus program, not an online master’s degree.

Internship and Degree Options

Students can register for the zero-credit IDS 5945 internship course to have an internship recorded on the transcript. FSU’s standard curriculum is course-based and non-thesis, which keeps the program focused on graduate coursework and applied data science preparation.

Who Is This Program Best For?

FSU is a good option for students who want a fast, campus-based data science master’s with required machine learning coursework and room to specialize. The computer science and scientific computing paths are especially relevant for students interested in AI, deep learning, advanced data mining, or computational methods. Applicants should already have a solid base in calculus, statistics, and programming.

Bottom Line

Florida State University’s MS in Interdisciplinary Data Science earns a place on this site because it combines a 30-credit, 16-month structure with required machine learning and data mining courses. Its elective paths let students move deeper into computer science, AI, scientific computing, mathematics, statistics, or language-focused data science. The main limitation is format: students must study on campus in Tallahassee.