Scientific Computing

Education

About - M.S. in Data Science

Details
Last Updated: Monday, August 22 2022 09:17

We are excited to offer a new 30-credit MS degree in Interdisciplinary Data Science (IDS) with a major in Scientific Computing beginning in Fall 2021!

Data is exploding all around us and will keep growing at dizzying rates for the foreseeable future in fields as diverse as health, material science, finance, biology, the internet of things, experimental physics, law, art, and psychology, along with many others. Tools of choice to analyze these data revolve around model reduction, probability, data, and machine learning. On the demand side, industry, government, and national labs are clamoring for a workforce skilled in artificial intelligence, machine learning, predictive analysis, and data modeling. Our students will graduate with a Master’s degree, preparing them to succeed in a world where computation, mathematics, and statistics have become fundamental necessities. They will create the next generation computational algorithms necessary to model, manipulate, analyze, visualize, and transform unstructured, structured, static, and streaming data.

A core set of Statistics, Mathematics, Data Mining, Machine Learning, Data Science, and Data Ethics courses will create a strong core of fundamentals upon which to build. Students will further specialize and strengthen their skills through electives taken in Scientific Computing and the other three majors (Statistics, Mathematics, Computer Science), such as High-Performance Computing, Cloud Computing, and Probabilistic Programming.

Admission - M.S. in Data Science

  • Click Here for Interdisciplinary Data Science (IDS) Website (datascience.fsu.edu)

    • Admission - M.S. in Data Science

    Details
    Last Updated: Thursday, January 04 2024 11:09

    The IDS graduate program will have broad appeal to students with undergraduate degrees in math, computer science, or statistics, but will also attract students with less traditional backgrounds, e.g., engineering, physics, etc.

    In addition to meeting all of the University and College admission requirements for graduate study, each applicant for the MSIDS program must:

    • have earned a Bachelor’s degree from an accredited institution

    • have a GRE score of 146 Verbal and 155 Quantitative for GREs
      GRE is currently waived for the Master's admission.

    • have a minimum of 3.0 GPA (B or better average) on the last 60 hours of undergraduate credits; and

    • be in good standing at the institution of higher learning last attended

    • provide three letters of recommendation discussing the student’s aptitude for graduate study

    • provide a statement of intent describe why you wish to join the program

    Required Background:

    • Calculus 2 (MAC2312 or equivalent)

    • College algebra

    • Basic probability and statistics (STA 2023 or equivalent)

    • Experience in one or more object-oriented programming languages such as C++, Python, Julia, and Matlab

    Admission to some of the more advanced elective courses comprising the different majors may require additional prerequisites, which the students will either have to demonstrate in their backgrounds or take additional coursework.

    Courses - M.S. in Data Science

    Courses - M.S. in Data Science

    Details
    Last Updated: Thursday, May 04 2023 11:34

    At this time, our Interdisciplinary Data Science master’s degree program is only available on FSU’s Tallahassee campus.

    18 Credits of Core Courses Required.
    All Data Science students must take the following Core Courses:

    Credit
    Hours     		Course
    No.     		Course
    Title
    3MAP 5196Mathematics for Data Science
    3CAP 5768Introduction to Data Science
    3STA 5207Applied Regression Methods
    3STA 5635Machine Learning
    3CAP 5771Data Mining
    2PHI 5699Data Ethics
    1STA 5910Professional Development Seminar

    6 Credits (or more) Scientific Computing Electives Required.

    Credit
    Hours     		Course
    No.     		Course
    Title
    3ISC 5228Monte-Carlo Methods
    3ISC 5307Scientific Visualization
    3ISC 5305Scientific Programming
    4ISC 5315Applied Computational Science I
    3ISC 5318High-Performance Computing
    3ISC 5XXXCloud Computing
    3ISC 5XXXComputational Probabilistic Modeling
    3ISC 5XXXData Science for Health
    3ISC 5XXXNeural Differential Equations

    6 Credits (or more) Free Electives offered by the participating IDS degree programs:

    Computer Science
    Data Science Electives     Mathematics
    Data Science Electives     Scientific Computing
    Data Science Electives     Statistics
    Data Science Electives

    Example course mapping for a three-semester degree:

    Fall
    Year 1    		 Spring
    Year 1    		 Fall
    Year 2
    [ Core Course ]
    Mathematics for Data Science
    (3 credits)
    MAP 5196    		 [ Core Course ]
    Machine Learning
    (3 credits)
    STA 5635    		 [ Elective ]
    Scientific Visualization
    (3 credits)
    ISC 5307
    [ Core Course ]
    Introduction to Data Science
    (3 credits)
    CAP 5768    		 [ Core Course ]
    Applied Regression Methods
    (3 credits)
    STA 5207    		 [ Elective ]
    Applied Computational Science I
    (4 credits)
    ISC 5315
    [ Core Course ]
    Data Mining
    (3 credits)
    CAP 5771    		 [ Core Course ]
    Data Ethics
    (2 credits)
    PHI 5699    		 [ Elective ]
    Monte Carlo Methods
    (3 credits)
    ISC 5228
    [ Core Course ]
    Professional Development
    (1 credit)
    STA 5910    		 [ Elective ]
    High-Performance Computing
    (3 credits)
    ISC 5318


    Graduation
    ✓
    Graduation Requirements - M.S. in Data Science

    Degree In Three

    Details
    Last Updated: Monday, April 27 2020 12:17

    Degree In Three is a special program designed to assist students who wish to graduate in three years or less. While all students are welcome to explore this path, Degree in Three is typically best for students who enter Florida State with college credit earned through AP, IB, AICE, or dual enrollment. Developed in the Division of Undergraduate Studies, Degree in Three is now managed in the Graduation Planning and Strategies Office.

    For more information, please contact our Academic Advisor here .

    More Articles ...

    1. Honors in the Major
    2. Ph.D. in Geophysical Fluid Dynamics
    3. Ph.D. in Fire Dynamics
    4. Graduate Application