Analytics and Modeling, M.S.
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.
About Our Analytics and Modeling Master’s Degree
General Information
- 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
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.
All students in Valpo’s M.S. in Analytics and Modeling program complete a 3-credit capstone experience, either an internship or research project, that provides students the opportunity to synthesize the skills they have learned in their coursework and apply them in a real-world setting. Below are examples of past capstone experiences completed by Analytics and Modeling students:
Internships
- Business Analyst Intern at Ready-2-Xecute, Summer 2023
- Junior Data Scientist at Cherish Technologies, Spring 2022
- Big Data Analytics Intern at Graco Inc., Summer 2021
- Assessment and Analytics Intern at the University of North Carolina Pembroke, Spring 2021
- Transportation Planning and Analytics Intern at the Northwestern Indiana Regional Planning Commission, Fall 2020
Research Projects
Estimation of Population Parameters Using Sample Extremes from Nonconstant Sample Sizes, Mentor: Dr. Tiffany Kolba, Department of Mathematics and Statistics , Summer 2020
Analysis of Attendance Trends at the Valparaiso University Hesse Center, Mentor: Dr. Tiffany Kolba, Department of Mathematics and Statistics , Summer 2022
Framework for Deep Reinforcement Learning Experimentation, Mentor: Dr. Michael Glass, Department of Computing and Information Sciences, Spring 2021
Courses are offered during three academic terms each year: Fall (August-December), Spring (January-May), and Summer (May-August). Students can enter the Analytics and Modeling program at the beginning of any of the three academic terms. Full-time students typically complete the M.S. in Analytics and Modeling program over three or four academic terms. Four academic terms is recommended for international students, who must also take GRD 500: Graduate Academic Success (0 credits) during their first term.
Example Three-Term Degree Map:
| Term 1 | Term 2 | Term 3 |
| IT 600: Ethics in Information Technology | AMOD 533: Data Mining | Capstone Experience |
| IT 603: Information Management | Elective | Elective |
| STAT 540: Statistics for Decision Making | Elective | Elective |
| CS 525: Simulation and Modeling | Elective | Elective |
Example Four-Term Degree Map:
| Term 1 | Term 2 | Term 3 | Term 4 |
| IT 600: Ethics in Information Technology | CS 525: Simulation and Modeling | AMOD 533: Data Mining | Capstone Experience |
| IT 603: Information Management | Elective | Elective | Elective |
| STAT 540: Statistics for Decision Making | Elective | Elective | Elective |
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