Overview
The Interdisciplinary Data Science, Mathematics M.Sc. at Florida State University provides students with a rigorous academic framework to understand the complex algorithms powering modern technology. This programme bridges the gap between theoretical mathematics and practical data application, ensuring graduates can both use and innovate new analytical tools. Students benefit from a curriculum that blends computational expertise with deep mathematical insight.
Why Interdisciplinary Data Science, Mathematics at Florida State University?
Florida State University offers a distinctive mathematical perspective on data science, focusing on the "how" and "why" behind machine learning algorithms. The department is a sponsoring member of the Erdős Institute, which provides students with exclusive access to data science boot camps, career coaching, and technical interview preparation. This partnership connects learners with a vast network of industry alumni and specialised resources for professional growth.
Tuition Fee Breakdown
- International fee: USD 21129 per year
- National fee: USD 21129 per year
- Local fee: USD 8628 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum requires 30 credit hours, including a core foundation and specialised mathematics tracks. Modules may include:
- Mathematics for Data Science
- Data Science
- Applied Regression Methods
- Machine Learning
- Data Mining
- Data Ethics
- Numerical Linear Algebra
- Numerical Optimization
- Graphs and Networks
Careers with Interdisciplinary Data Science, Mathematics
Graduates are prepared for a vibrant sector of the economy, finding opportunities within governmental agencies and diverse industries. The programme equips students with high-demand skills in artificial intelligence and big data analysis, suitable for roles that require designing new computational tools. By focusing on the mathematical underpinnings of the field, the degree opens pathways into machine learning research, data visualisation, and technical consultancy.
Programme Structure
Courses include:
- Mathematical Analysis
- Linear Algebra
- Statistical Methods
- Machine Learning
- Data Visualization
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Tallahassee, United States
Disciplines
Mathematics Data Science & Big Data View 593 other Masters in Mathematics in United StatesWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Bachelor's degree in mathematics, statistics, computer science, or a related field from a regionally accredited U.S. institution or equivalent international institution
- Minimum GPA requirement (specific GPA may vary)
- GRE scores (FSU institution code provided)
- Letters of recommendation
- Statement of purpose
- Resume/CV
- Official transcripts
Tuition Fees
-
International Applies to you
Applies to youNon-residents21129 USD / year≈ 21129 USD / year - Out-of-State21129 USD / year≈ 21129 USD / year
-
Domestic
Applies to youIn-State8628 USD / year≈ 8628 USD / year
Living costs
Tallahassee
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Interdisciplinary Data Science, Mathematics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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