This graduate program is designed for those qualified individuals who wish to continue their academic credentials in the field of data science. The required coursework consists of 45 quarter credit hours focused on advanced mathematics, data gathering, and data mining and culminates in an applied project.
The Master of Science in Data Science program is designed for students to advance their study of predictive analytics, business intelligence, and data mining tools to solve problems in engineering, science, and business. This program is designed to provide organizations with analysts that have a deep understanding of mathematics, computing, and tools designed for large scale data sets.
Graduates completing the program will accomplish the following outcomes:
- Apply mathematic foundations to identify and predict trends and suggest correlations across data.
- Design methods for data collection across wide area networks, infrastructure, existing data sets, and social systems.
- Develop a narrative for data results based upon analysis and identified trends and correlations.
- Research computing problems and apply the latest technology and published findings to provide better solutions.
- Apply theory, research, and practice to a selected project and prepare a data solution.
Applicants interested in any Master of Science program offered within the School of Computer Science and Engineering are required to meet individually, either in person or via telephone, with an admissions representative and program faculty to discuss the program and all requirements.
Applicants must provide a completed South College application for admission and application to the program. Those selected for admission will provide the following:
- Evidence of completion of a bachelor’s degree from an accredited institution of higher education in computer science, information technology, information systems, or a closely related field OR evidence of completion of a bachelor’s degree in any field with a completed certificate program or qualifying bootcamp evidencing significant experience in the discipline of computer science or information technology;
- Evidence of a cumulative 3.0 undergraduate grade point average for admittance OR evidence of a cumulative 2.50 undergraduate grade point average for conditional admittance.
Students accepted for conditional admittance are permitted to take no more than three courses in the Master of Science program. If a 3.0 graduate grade point average is achieved in the three courses, full admittance will be granted. Applicants not possessing a minimum 2.50 grade point average at the institution awarding the bachelor’s degree may include all undergraduate coursework from other institutions in the grade point average calculation. If the applicant has a minimum 2.50 grade point average for all undergraduate coursework, the applicant will be granted conditional admittance.