• MATH 6400: Advanced Statistical Learning

  3.00 Credits

  Weber State University

  
  Students will learn about Statistical Learning and Data Science which are so widely used in the technology sector and beyond. You will learn about common statistical methods and algorithms used by Amazon, Facebook, and Google to made predictive models for data. This course will have an emphasis on modeling (numeric and non numeric) data, model selection, and neural networks. Prerequisite:    MATH 1040 and MATH 1220 and MATH 3410 and MATH 3450
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• MATH 6450: Applied Stats & Regression

  3.00 Credits

  Weber State University

  
  Students learn the knowledge and skills necessary for applied statistical analysis. These methods allow focus typically on a selection of advanced regression analysis, missing data, categorical data analysis, time series in relation to regression, colinear data, and model and variable selection. This course also focuses on Applied Statistics & Regression in the context of both a statistical and data scientist view point as this course is part of the Masters of Data Science. Prerequisite:    CS 3580 and MATH 3410 and MATH 3450 and MATH 4400
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• MATH 6500: Factor and Cluster Analysis

  3.00 Credits

  Weber State University

  
  Students learn the methodology used in big data applications, learn how to make sense out of large data, understand how to analyze survey data with factor analysis, determine distinct groups with the data using cluster analysis, and understand relationships within data. The course will make use of statistical analysis software, and students will be expected to understand both the results of the output and theoretical considerations of the analysis. Prerequisite:    CS 3580 and MATH 2270 and MATH 3410 and MATH 3450 and MATH 4400
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• MATH 6900: Capstone in Statistics & DS

  1.00 - 3.00 Credits

  Weber State University

  
  Students are required to complete a substantial statistical or data science project. Students must demonstrate proficiency in data analysis, presentation, solving an applied data problem. Students receive T (temporary) grades until successful completion of the project and dissemination, after which the course grade will be changed retroactively.
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• MATH 6920: Short course/workshop

  1.00 - 4.00 Credits

  Weber State University

  
  Consult the semester class schedule for the current offering under this number. The specific title and credit authorized will appear on the student transcript. Prerequisite:    MATH 1210
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• MBA 6010: Legal/Regulatory Enviro Busine

  3.00 Credits

  Weber State University

  
  This course is an introduction to business law, emphasizing basic legal principles and the broad application of domestic and international public and private law. Its overriding objective is to provide a working understanding of the legal environment of business for MBA students. Its focus is on regulatory law, business organizations, and other legal topics of special importance to managers of businesses.
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• MBA 6020: Financial & Managerial Account

  3.00 Credits

  Weber State University

  
  A general study of the use of accounting information by internal and external decision makers with emphasis on the use of accounting information by managers of an entity. Topics covered include the accounting cycle, the basic financial statements, inventories, long-term liabilities, cost concepts and behaviors, cost-volume-profit analysis, and financial statement analysis.
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• MBA 6040: Managerial Economics

  3.00 Credits

  Weber State University

  
  This course develops the basic concepts and analytical tools of economics which include opportunity cost, marginal analysis, constraints, and optimizing behavior. Applications include theories of the firm, its organizational architecture, transactions costs, markets, pricing, and other managerial issues.
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• MBA 6050: Quantitative Methods I

  3.00 Credits

  Weber State University

  
  This class will give students the opportunity to learn how to write, read, and analyze statistical data as it pertains to business and society. The basic premise of this course is to provide the student with an understanding of statistics as it is used in business and economics. This course will give special emphasis to understanding, interpreting and communicating statistics. Topics covered include descriptive statistics, probability, probability distributions, sampling distributions and hypothesis testing. Additional course work in College Algebra may be required prior to course registration as per department advisement and student's program of study requirements.
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• MBA 6051: Quantitative Methods II

  3.00 Credits

  Weber State University

  
  This course will build on the first foundation course on descriptive statistics by emphasizing inferential statistics. This course will be application oriented and will focus on hypothesis testing and regression analysis. Students will learn how to design a survey and evaluate the data in order to test theories learned in other MBA classes. Students will also learn basic concepts and methods of optimization using elementary concepts in differential calculus. Additional foundation course work in statistics may be required prior to course registration as per department advisement and student's program of study requirements. Prerequisite:    MBA 6050
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