Data Science & Analytics
Data Science and Analytics at Â鶹ŮÀÉ is about using data to solve real-world problems and drive informed decisions across industries like healthcare, finance, retail, and more. You’ll learn to design and apply tools and methodologies to uncover patterns in data, make predictions, and create actionable insights. The program builds your foundation in mathematics, programming, and algorithm analysis, and gives you hands-on experience with machine learning, artificial intelligence, and deep learning. You’ll graduate ready to take on roles such as Data Scientist, Data Science Application Developer, Machine Learning Scientist, and Market Analyst.
About Data Science and Analytics at Â鶹ŮÀÉ
Florida Atlantic’s program stands out for its interdisciplinary approach and strong industry connections. You’ll benefit from the expertise of faculty across five colleges, access to Â鶹ŮÀÉ’s Big Data Platform, and opportunities to engage in research through the NSF Big Data Training and Research Laboratory and the Center for Cryptology and Information Security. The capstone experience lets you tackle real-world data challenges, often in collaboration with industry partners, preparing you for a high-demand workforce and fostering both technical and professional growth.
Degrees Offered at Florida Atlantic
Undergraduate
- Bachelor of Science with Major in Data Science and Analytics (DSE concentration)
- Undergraduate Certificate in Data Science
Graduate
- Master of Science with Major in Data Science and Analytics (DSAL concentration)
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Educational Objectives & Student Outcomes
2. Professionalism: Act with professional and social responsibility, including ethical standards and a commitment to public health and safety.
3. Lifelong learning: Continue developing knowledge and skills through graduate education or professional development to adapt to technological and societal changes.
2. Apply engineering design to produce solutions that consider public health, safety, and global, cultural, social, environmental, and economic factors.
3. Communicate effectively with diverse audiences.
4. Recognize ethical and professional responsibilities and make informed judgments in societal contexts.
5. Function effectively on teams, providing leadership and collaboration.
6. Develop and conduct experiments, analyze and interpret data, and use judgment to draw conclusions.
7. Acquire and apply new knowledge as needed, using appropriate learning strategies.
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