Master of Science in Analytics and Modeling One-Sheet | Valparaiso University

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Master of Science in Analytics and Modeling

valpo.edu/amod

BANKS, FINANCIAL SERVICES FIRMS, INSURANCE COMPANIES, MANUFACTURERS, RETAILERS, AND MORE INCREASINGLY TURN TO DATA SCIENTISTS WHEN SETTING STRATEGY AND MAKING KEY BUSINESS DECISIONS.

Organizations often have more industry and client information than they know what to do with, which has led to a demand for data scientists and business analysts. According to the U.S. Bureau of Labor Statistics, job outlook from 2021-2031 has an average projected growth rate of 23 percent (much faster than the 5 percent average growth rate across all professions) with almost 40 percent of jobs requiring a master's degree. In today’s age of big data, professionals who specialize in predictive modeling and data-driven analysis provide actionable intelligence for solutions to real-world business problems.

Valparaiso University’s master of science in analytics and modeling meets the need companies have to leverage company, client, and industry data to improve organizational effectiveness, enhance customer service, calculate return on investment, and determine shareholder value.

You can pursue interests in data science, computational sciences, mathematical economics, and more in the 36-credit program. You have an additional opportunity to receive a certificate in Statistical Analysis System (SAS) without any additional coursework. Qualified undergraduates take advantage of the University’s flexible admission, which allows you to start the program in the spring, summer, or fall semesters.

Courses are taught by a wide range of faculty, from former or currently working professionals in business analytics to active researchers studying biological, genomic, and national security applications. Through hands-on experience, you can participate in an internship that can lead to future career opportunities in the field.

Visit valpo.edu/amod to learn more about the master of science in analytics and modeling program.

VALUE OF A VALPO GRADUATE DEGREE

Graduate tuition for the 2023–2024 academic year is surprisingly affordable at $679 per credit. The program offers scholarships and early entry options for especially qualified undergraduates.

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ADMISSION CHECKLIST

■ Valparaiso University graduate application (online)

■ Certified bachelor’s degree transcript, plus transcripts for all other degrees earned and/or coursework completed

■ Two letters of recommendation

■ A reflective essay indicating your anticipated career goals and reasons for undertaking graduate study in the particular program you are applying for at Valpo

■ Application fee: $30 for U.S. citizens, $50 for international students

■ Supplemental application form which includes writing prompt

Additional application requirements may apply. For more information, visit valpo.edu/grad.

What makes Valpo great is the commitment of the faculty and their desire to make you better both in the classroom and in the professional world. Valpo has an unbelievably advanced and sophisticated network of professors who teach the skills that are desired in today’s workforce. The small class sizes allowed for great conversations to occur during class and also allowed for direct access to professors.

*Courses that apply toward a SAS certificate

Valparaiso University admits students of any race, color, national or ethnic origin, age, gender, disability, sexual orientation, or religion. (For a full statement, see valpo.edu.)

“ ” Valparaiso University Valparaiso, IN 46383 phone: 219.464.5313 web: valpo.edu/amod email: grad@valpo.edu CORE REQUIREMENTS 15 CR. AMOD 533 Data Mining* 3 Cr. CS 525 Simulation and Modeling 3 Cr. IT 600 Ethics in Information Technology 3 Cr. IT 603 Information Management 3 Cr. One course from the following options: ECON 525 Applied Econometrics* 3 Cr. STAT 540 Statistics for Decision Making 3 Cr. CORE APPLICATIONS IN ANALYTICS AND MODELING 3 CR. At least one course from the following options: AMOD 560 Computational Molecular Science 3 Cr. AMOD 610 Business Analytics 3 Cr. AMOD 620 Bioinformatics 3 Cr. AMOD 640 Topics in Biostatistics 3 Cr. AMOD 650 Computational Social Science 3 Cr. ECON 573 Applied Data Science* 3 Cr. MATH 521 Mathematical Models of Infectious Disease 3 Cr. MET 530 Numerical Weather Prediction 3 Cr. CAPSTONE EXPERIENCE 3 CR. One course from the following options: AMOD 686 Internship 1-3 Cr. AMOD 792 Research Project 1-3 Cr. AMOD 798, 799 Thesis 3 Cr. ELECTIVES 15 CR. 15 credits from Core Applications or from the following options: AMOD 545 Evolutionary Algorithms 3 Cr. AMOD 550 Scientific Visualization 3 Cr. AMOD 565 Interactive Computer Graphics 3 Cr. AMOD 574 Computational Linear Algebra 2+2 3 Cr. AMOD 590 Topics in Analytics and Modeling 1-3 Cr. AMOD 690 Advanced Topics in Analytics and Modeling 3 Cr. AMOD 695 Independent Study 1-3 Cr. CS 572 Computability and Computational Complexity 4 Cr. GEO 515 Advanced Geographic Information Systems (GIS) 3 Cr. IT 664 Natural Language Technologies 2 Cr. MATH 520 Dynamical Systems 3 Cr. MATH 522 Optimization 3 Cr. MATH 523 Game Theory 3 Cr. MATH 530 Partial Differential Equations 3 Cr. MATH 570 Numerical Analysis 3 Cr. MATH 571 Experimental Mathematics 3 Cr. STAT 541 Probability 4 Cr. STAT 543 Time Series Analysis* 3 Cr. STAT 544 Stochastic Processes 3 Cr. STAT 561 Introduction to R 1 Cr. STAT 563 Introduction to SAS* 3 Cr. STAT 590 Advanced Topics in Statistics 1-3 Cr.
— Ed Orlando ‘16 M.S. Analytics and Modeling

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