Master of Science in Analytics and Modeling

Analytics and modeling focuses on the integration of knowledge and methodologies from mathematics, statistics, and computer science to analyze and solve problems in science, engineering, and other fields. As scientific and engineering fields deal with increasingly complex and expanded information and data sets, the need for individuals with such computational skills is expected to expand greatly. This 36-credit program provides students with a set of highly marketable skills applicable to many areas of science, industry, business, and government.
Core courses built around statistics, databases, and visual imaging
Advanced coursework in computational applications, including modeling techniques
Experience in a data-focused programming language, such as Python, R, or SAS
Research projects and internships allowing students to apply their skills to real-world problems
A 41 B.S./M.S. Early Entry program allows qualified undergraduate students at Valpo to complete the M.S. in Analytics and Modeling in one year
Students complete five required core courses built around statistics, databases, and visual imaging and take at least one course in computational applications in science, engineering, or other applied areas. Students also complete either an internship experience or a research project. To allow specialization, students fill out the program with elective coursework in computational science applications, mathematics, or computer science.
The certificate in Analytics and Modeling is intended for the working professional interested in a deeper knowledge of the statistical, computational, and mathematical methods behind modeling and data analytics. The certificate requires only 18 credits, rather than the 36 credits required for the M.S. in Analytics and Modeling.

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