Course Description
MATH 115 - Differential Calculus (3 (3,0,0))
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 (3,0,0))
Provides actuarial students with a solid foundation in the fundamental concepts and methods of statistics and probability theory. Covers descriptive statistics, probability distributions, and confidence intervals with focus on both theory and real-world applications.
CS101 - Computer Programming I (4 (4,0,2))
Teaches programming concepts through Java including variables, control structures, data types, methods, arrays, and file operations. Taught with hands-on practice in lab sessions.
MATH 117 - Integral Calculus (3 (3,0,0))
Covers fundamental concepts of integrals, techniques of integration, and their applications such as areas, volumes, work, arc length, and surface area of revolution.
STAT 112 - Statistical Inference and Regression Analysis (4 (4,0,0))
Advanced course focusing on inference and regression methods for actuarial practice. Builds on probability theory and includes application to real-world actuarial problems.
ACSC 493 - Cooperative Training (10 (10,0,0))
Seven-month cooperative training in local/international organizations with structured work plan and performance evaluation by host and university.
FIN 210 - Principles of Finance (3 (3,0,0))
The course is an introduction to the principles of finance. Topics include fundamentals of financial reporting, financial environment, financial statements, taxes and cash flow, interest rates and time value of money, financial reports and their analysis, and risk and return.
MATH 223 - Linear Algebra (3 (3,1,0))
Examines the techniques of linear algebra including matrices, determinants, systems of linear equations, vector spaces, eigenvalues, eigenvectors, and linear transformations.
ACSC 249 - Introduction to Data Science (3 (3,0,0))
Covers foundational topics in data science including data manipulation, statistical analysis, machine learning with Python (NumPy, Pandas), and visualization using Matplotlib. Includes a group project.
STAT 219 - Introduction to Stochastic Analysis (3 (3,0,0))
Introduces stochastic processes and calculus for actuarial applications in risk assessment and financial analysis.
ACSC 241 - Financial Mathematics (4 (4,0,0))
Covers interest theory, annuities, bonds, loans, cash flow analysis, yield rates, convexity, duration, immunization, and interest rate swaps.
ENG 301 - Technical Writing (3 (3,0,0))
Focuses on technical writing principles for professional contexts including document design, report writing, and analytical writing skills.
ACSC 253 - Actuarial Corporate Finance (3 (3,0,0))
Covers corporate finance with focus on capital budgeting, valuation, dividend policy, CAPM, financial markets and instruments, and firm value optimization.
ACSC 381 - Actuarial Contingencies I (3 (3,0,0))
Introduces survival models, life insurance, annuities, and actuarial methods relevant for professional exams.
ACSC 361 - Actuarial Science Problem Lab I (1 (0,2,1))
Hands-on training using MATLAB Financial Toolbox for financial modeling, risk analysis, and portfolio optimization.
STAT 311 - Time Series and Applications (3 (3,0,0))
Teaches ARMA/ARIMA models, Fourier analysis, state space models, and time series analytics using R or Python.
ACSC 383 - Actuarial Contingencies II (4 (4,0,0))
Covers benefit premiums, reserves, multi-life/multi-decrement models, and applications in Takaful. Prepares for advanced actuarial exams.
ACSC 362 - Actuarial Science Problem Lab II (1 (1,0,0))
Develops C++/Python skills for actuarial computations in life and non-life insurance applications.
ACSC 363 - Enterprise Risk Analysis (4 (4,0,0))
Covers risk models, reinsurance, loss distribution, and approximation techniques including moment generating functions and limiting distributions.
ACSC 441 - Mathematics of Financial Derivatives (3 (3,0,0))
Focuses on pricing financial derivatives, including options, forwards, risk management, and continuous/discrete models.
ACSC 473 - Loss Models (3 (3,0,0))
Examines aggregate claims distribution, ruin theory, credibility models, Poisson surplus processes, and empirical Bayes methods.
ACSC 450 - Ethics for Actuaries (3 (3,0,0))
Explores ethics in actuarial practice including professional standards, conflicts of interest, and confidentiality.
ACSC 444 - Advanced Topics in Insurance Management (3 (3,0,0))
Studies insurance operations, underwriting, regulation, marketing, and liability coverage.
ACSC 493 - Cooperative Training (10 (10,0,0))