分析与建模理学硕士

分析和建模的重点是整合数学，统计学和计算机科学领域的知识和方法，以分析和解决科学，工程和其他领域的问题。随着科学和工程领域处理日益复杂和扩展的信息和数据集，具有这种计算技能的个人的需求有望大大增加。这个36学分的课程为学生提供了一套适用于科学，工业，商业和政府许多领域的，非常适合市场的技能。
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.<br>Core courses built around statistics, databases, and visual imaging<br>Advanced coursework in computational applications, including modeling techniques<br>Experience in a data-focused programming language, such as Python, R, or SAS<br>Research projects and internships allowing students to apply their skills to real-world problems<br>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<br>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.<br>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.