The Computational Data Analytics concentration focuses on numerical and computational methods and algorithms that can be used in solving a variety of problems.
Why study Computational Data Analytics at Coastal Georgia?
With additional mathematical preparation, students enrolled in the Computational Data Analytics concentration will have a deeper understanding of the
mathematical techniques used in data science. A student intending to pursue graduate study in data science is highly encouraged to consider this concentration.
We prepare students for the practical skills they need. It’s not all about research and theory.
- Resume-boosting skills: Our graduates will know R and python as well as data cleaning, visualization, and modeling.
- Careful analysis: Our students learn to handle, prepare, and interpret data carefully to avoid bias and “lying with statistics.”
- Data communication: Our graduates will know how to professionally communicate the power and limitations of their analyses.
What will I learn?
In addition to the core data science courses, the Computational Data Analytics concentration requires students to learn concepts and skills related to the numerical and computational methods used in data science. The courses that cover these concepts include Differential Equations, Discrete Mathematics, Operations Research, and Numerical Analysis.
What can I do when I graduate?
The Computational Data Analytics concentration, by design, allows for the most flexibility in application. Students graduating in this area will not only be able to conduct data analysis processes, but also refine and create them. Students will be prepared to pursue careers and/or graduate study in data analytics or data science.