Data Analytics is concerned with statistical techniques that measure the validity of insights from big data, with computational techniques for managing data efficiently, and also with machine learning techniques to learn trends from big data in order to make accurate predictions. Excellent candidates for this program are:
- Graduates from computer science, information technology, computer engineering, statistics or related programs who want to hone their skills towards the “Big Data” field and connect with industry leaders via internships.
- Working professionals in the field of statistics, computer programming, information technology, databases, business intelligence, or related areas who would like to boost their professional opportunities by obtaining an MS in Data Analytics degree without quitting their current jobs. Many local corporations provide sponsorships to their employees to obtain advanced degrees.
- Students who have only partial coursework or experience in these areas but desire to pursue a degree in data analytics and be part of the “Big Data” revolution. For the preparation of these students, UCF offers undergraduate prerequisite courses or alternatively, bridge courses prior to the start of the program.
This program is not for students that are interested in a non-technical education. This program is technically oriented and emphasizes on hands-on computer programming, machine learning and statistical modeling.