Course Description
Math 115 - Differential Calculus (3 credits)
An introductory course focusing on limits, derivatives, and their applications, including tangent lines, critical points, optimization, and continuity. Prepares students for further calculus and real-world problem solving in fields like economics and natural sciences.
Stat 111 - Statistics and Probability (3 credits)
Provides actuarial students a foundation in statistics and probability. Covers descriptive stats, distributions, and confidence intervals with focus on both theory and real data analysis.
Econ 101 - Principles of Microeconomics (3 credits)
Explores consumer and producer behavior, utility, market structure, elasticity, and government role in market efficiency. Emphasizes real-world application of microeconomic theory.
CS 101 - Computer Programming I (4 credits)
Intro to Java programming, control structures, arrays, files, and methods. Taught in lab-based hands-on format to develop programming foundations.
Math 117 - Integral Calculus (3 credits)
Explores definite/indefinite integrals, area, volume, work, average value, and techniques like substitution and integration by parts. Applications in real-world contexts like arc length and revolution surfaces.
Econ 102 - Principles of Macroeconomics (3 credits)
Covers national income, GDP, fiscal policy, AD/AS, inflation, unemployment, and macroeconomic policy tools based on Keynesian and neoclassical models.
CS 102 - Computer Programming II (3 credits)
Covers intermediate Java programming with a focus on object-oriented concepts including inheritance, polymorphism, encapsulation, interfaces, recursion, 2D arrays, and Java collections for system building.
Stat 112 - Statistical Inference and Regression Analysis (4 credits)
Advanced course for actuarial students covering inference techniques and regression models applied to real data and actuarial contexts, building on foundational statistics.
Acc 111 - Foundations in Financial Accounting (3 credits)
Intro to financial accounting systems and statements including income statements, balance sheets, cash, inventory, assets, liabilities, and the accounting cycle.
Eng 103 - Research Writing Techniques (3 credits)
Covers paraphrasing, library research skills, citation, documentation, formatting, and compiling research reports with proper referencing and academic integrity.
Math 229 - Multivariable Calculus (3 credits)
Covers multivariable functions, partial differentiation, double/triple integrals, sequences, series, Taylor and Maclaurin expansions for modeling in multiple dimensions.
Acsc 225 - Statistical Programs (3 credits)
Hands-on course in R and SPSS for data cleaning, analysis, and visualization. Includes report writing and group project to interpret analytical results.
Fin 210 - Principles of Finance (3 credits)
Intro to finance covering financial statements, cash flow, time value of money, risk/return, interest rates, and fundamental financial decision tools.
Math 223 - Linear Algebra (3 credits)
Focuses on matrices, vector spaces, eigenvalues, transformations, inner products, and linear systems with applications in mathematics and engineering.
Acsc 249 - Introduction to Data Science (3 credits)
Covers Python, NumPy, pandas, matplotlib, and basic machine learning for classification/regression. Includes group projects using real data sets.
Stat 219 - Introduction to Stochastic Analysis (3 credits)
Stochastic processes and calculus for actuarial applications in insurance and finance, including risk modeling and data interpretation.
Acsc 241 - Financial Mathematics (4 credits)
Covers theory of interest, annuities, bonds, cash flows, and swap valuations. Includes convexity, duration, and immunization analysis.
Eng 301 - Technical Writing (3 credits)
Trains students in professional writing skills including formatting, design, documentation, argumentation, and analytical writing across technical contexts.
Acsc 253 - Actuarial Corporate Finance (3 credits)
Explores NPV, CAPM, market efficiency, tax strategy, financial instruments, capital budgeting, financing strategies, and firm value optimization.
Acsc 381 - Actuarial Contingencies I (3 credits)
Intro to actuarial life contingencies including survival models, insurance models, annuities, and preparation for professional exams.
Acsc 361 - Actuarial Science Problem Lab I (1 credit)
Uses MATLAB toolbox for modeling and analyzing financial data including optimization, derivatives valuation, and time series transformation.
Stat 311 - Time Series and Applications (3 credits)
Covers time series modeling with ARIMA, Fourier analysis, state space models using R and Python. Focus on finance and forecasting.
Acsc 383 - Actuarial Contingencies II (4 credits)
Covers premiums, reserves, multi-life models, takaful insurance, and advanced exam preparation in actuarial life models.
Acsc 362 - Actuarial Science Problem Lab II (1 credit)
Hands-on lab using Python and C++ to simulate and analyze actuarial models including risk theory and contingency tables.
Acsc 363 - Enterprise Risk Analysis (4 credits)
Analyzes risk models, reinsurance, approximation methods, loss distributions, and ruin probabilities using stochastic tools.
Acsc 441 - Mathematics of Financial Derivatives (3 credits)
Studies pricing of financial derivatives using continuous/discrete models, forwards, futures, and exotic option strategies.
Acsc 473 - Loss Models (3 credits)
Explores claim distributions, ruin theory, credibility, compound Poisson models, reinsurance, and empirical Bayes approaches.
Acsc 450 - Ethics for Actuaries (3 credits)
Introduces ethical principles, standards, conflicts of interest, and professional conduct for actuarial practice.
Acsc 444 - Advanced Topics in Insurance Management (3 credits)
Examines insurance operations, regulation, underwriting, marketing, distribution, and property/liability product management.
Acsc 493 - Coop (10 credits)