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The inclusion of a minor in Risk Management and Insurance introduces the student to specific uses of Actuarial Mathematics.
The combination of Applied Mathematics and Statistics expands the student’s knowledge of solution methods for Risk Analysis.
The inclusion of computational analytical methods introduces the student to computer modeling.
Use of SAS and R to handle data sets. Topics for SAS include data input, creating permanent data sets, merging data sets, creating new variables, sorting, printing, charting, formatting, IML programming, macro programming, and an overview of proc SQL and other statistical procedures. Topics for R include data structure, control structure, writing functions, and graphics. Prerequisites: grade of C or better in STAT 130M or equivalent and a grade of C or better in MATH 316 or equivalent or permission of instructor.
This course is a data-based tour of advanced statistical techniques using software packages, exploring a catalog of data sets |simulated or otherwise) spanning a variety of fields and applications, including data suitable for regression, ANOVA, time series modeling, longitudinal data analysis, and multivariate techniques. Approaches will include parametric, nonparametric, simulation, and bootstrapping. SAS and R |S-plus) will be used extensively, with some other specialized products. For writing actual |not packaged) code, PROC IML and R will be used. This is a finishing course for applied statisticians, highly recommended for students planning a career in statistical programming and simulation. Prerequisites: A grade of C or better in STAT 405/STAT 505 and two of STAT 435/STAT 535, STAT 437/STAT 537, STAT 447/STAT 547 and STAT 450/STAT 550.
Topics include least squares problems, the QR factorization, the conjugate gradient method, Householder transformation and the QR method for approximating eigenvalues and singular values of a matrix. For applications, the finite difference method and the finite element method for solving partial differential equations, trigonometric interpolation and FFT as well as introductory study of optimization are discussed. Prerequisites: A grade of C or better in MATH 408/MATH 508.
Students entering the Bachelor of Science program in Actuarial Mathematics should meet the minimum university admission requirements (Undergraduate Admission)
Math Core courses: 34 credits (GPA of 2.3)
Actuarial Math specific courses: 18 credits
Minor in Risk Management and Insurance
Estimated rates for the 2021-22 academic year. Rates are subject to change. Anyone that is not a current Virginia resident will be charged non-resident rates. That includes international students.
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2003H STROME ENTREPRENEURIAL CTR, NORFOLK, VA, 23529
1004 Rollins Hall, Norfolk, VA 23529
2101 Dragas Hall, Norfolk, VA 23529
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