The job market for data science and AI professionals is experiencing unprecedented growth, with the Bureau of Labor Statistics projecting a 35% increase in demand by 2032 — significantly outpacing most other professional fields. According to the latest Burtch Works report, entry-level data scientists command starting salaries between $80,000 and $103,400, depending on the industry.
FIU Innovation Center (under construction) will house cutting-edge AI and Cybersecurity research and teaching computing labs.
The Bachelor of Science in Data Science and Artificial Intelligence at FIU’s Knight Foundation School of Computing and Information Sciences (KF-SCIS) is well-positioned to prepare students for these jobs of the future. KF-SCIS offers a comprehensive curriculum integrating computer science, statistics, and mathematics, with specialized tracks in Computational and Big Data Analytics, Artificial Intelligence and Robotics, and Statistical Modeling.
Using technology for environmental protection – FIU’s Data Science students collect water data in Miami’s Biscayne Bay for ocean monitoring.
Students gain expertise in turning complex data into actionable insights through a blend of theoretical knowledge and practical experience. They develop skills in data analysis, machine learning, and advanced computational techniques, which are increasingly sought after across industries. Hands-on learning through research projects, internships, and real-world initiatives ensures graduates are prepared for diverse career paths. From data analysts and machine learning engineers to AI research scientists and business intelligence consultants, our graduates are equipped to make meaningful contributions across fields like healthcare, finance, consulting, and technology, among others.
Have questions, or are you ready to join us? Speak with an advisor by completing this short questionnaire.
There are three tracks available for the B.S. in Data Science and Artificial Intelligence program;
- Computational and Big Data Analytics,
- Artificial Intelligence and Robotics,
- Statistical Modeling.
A visual organization of required, elective, and pre-requisite courses is provided in the flowchart below.
Flowchart (Admitted starting from Fall 2024)
U.S. News and World Report Best Colleges 2025 rankings released in 2024 places Florida International University at No. 46 among public universities.
DS Prerequisites
Students should be Calculus-ready prior to enrolling in the major.
DS Core Courses
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DS Elective Courses (4 Courses)
Choose four courses either from a chosen concentration, or four courses from any of the concentrations.
cOMPUTATIONAL AND BIG DATA ANALYTICs
- CAI4203 Introduction to Deep Learning
- CAP4770 Introduction to Data Mining
- CEN4083 Intro to Cloud Computing
- COP4534 Algorithm Techniques
- COP4703 Information Storage and Retrieval Concepts
- COT4431 Applied Parallel Computing
ARTIFICIAL INTELLIGENCE AND ROBOTICS
- CAI4203 Introduction to Deep Learning
- CAP4453 Introduction to Robot Vision
- CAP4506 Introduction to Game Theory
- CAP4641 Natural Language Processing
- CAP4770 Introduction to Data Mining
- CDA4625 Introduction to Mobile Robotics
STATISTICAL MODELING
- CAP4770 Introduction to Data Mining
- CAP4830 Fundamentals of Modeling and Simulations
- MAD3310 Graph Theory
- MAD3401 Numerical Analysis
- STA3164 Statistical Methods II (Prereq: STA 3163)
- STA4234 Introduction to Regression Analysis
Frequently Asked Questions
Are there opportunities for research within this program?
Yes, students are encouraged to participate in research projects, often in collaboration with faculty members. This experience is invaluable for those considering further studies or careers in research and development.
How does this degree prepare students for the job market?
Our curriculum is designed to align with industry needs, and we provide ample opportunities for students to engage in internships, projects, and networking events. Graduates will have the skills and experience needed to excel in data science and AI roles.
What kind of support is available for students in the Data Science and AI program?
We offer a range of support services, including academic advising, tutoring, career counseling, and mentorship programs. Our faculty are also dedicated to providing guidance and support throughout your studies.
I took Programming I and II in Java (or another language). Can I replace Python I and II with those courses?
If you have completed equivalent programming courses in another language, we can assess them for equivalency. However, Python is a core language in data science, so it is recommended that you take an advanced Python course to ensure proficiency.
How will my previous courses from another major be applied to this degree?
Relevant courses, especially those in calculus, statistics, or any programming-related courses, may be counted towards your degree requirements. We will review your transcript and determine equivalency.
How does the Data Science and AI program emphasize practical applications?
Our program integrates real-world projects, internships, and collaborations with industry partners. Students will work on practical applications, particularly in the water quality domain, ensuring they gain hands-on experience.
Can I transfer into the Data Science and AI program from another university?
Absolutely! We welcome transfer students from other institutions.
Your previous coursework will be evaluated for equivalency, and we’ll work with you to ensure a smooth transition into our program.