Data Science and Analytics (Distance)

The Master of Science (MS) in Data Science and Analytics will prepare students to transform data into information so that insight is gained for addressing real world problems. The degree requirements consist of a core set of courses in statistical analysis, basic programming, machine learning, data extraction and transformation, and methods of data science. Students will also choose an Emphasis area in which a certificate will be awarded. Students may complete more than one Emphasis for certificate recognition.

Data science and analytics is an area in which many disciplines and backgrounds can and do participate. Graceland's program takes a very practical and applied learning approach to skill development. The program relies on the use of real data sets to address challenging and current problems and issues.

Graceland University provides scholarships & Aid.

There may be an additional academic and living expences by this University.