With 23% job growth over the next decade, Actuarial Science degrees continue to be in demand. In the development of Rize’s Actuarial Science program, 20+ Fortune 500 employers, prominent actuaries, and academic experts, collaborated to identify key real-world skills for an actuarial science education. For this reason, Rize’s Actuarial Science program integrates programming classes, which offer a Computer Science background and fully prepares students to take two Society of Actuaries exams (Exam FM and Exam P).
Equip your students with the expertise they need to thrive in today’s competitive job market.
You can launch this Actuarial Science program by adding 5 Rize courses to your existing catalog, enabling you to market an Actuarial Science degree to prospective students in as little as one semester. Expand below to read the course descriptions.
Actuaries focus on using math and statistics to evaluate risk and make strategic decisions. This course covers a range of topics relevant to actuaries, including measurement of interest rates, interest theory, and the pricing of bonds, mortgages, annuities, and other financial instruments. This course will also fully cover all content required by the Society of Actuaries Financial Mathematics (FM) Exam and its equivalents.
Actuaries and quantitative professionals deal primarily in probabilities. This course will cover a wide range of topics and introduce you to core probability concepts needed for actuarial and quantitative work. You will be able to apply to concepts of probability to real-world scenarios. This course will also fully cover all content required by the Society of Actuaries P Exam and its equivalents.
This course focuses on team-based problem-solving in actuarial science & risk management. Students will learn the fundamentals of the R programming language, RStudio, and R Markdown, and use these tools to complete a range of projects. Projects vary, but may include bond and loan amortization, analysis of the efficient frontier and the capital asset pricing method, insurance liability & estimates of expected loss. This course culminates in a capstone project that ties together skills from throughout the Actuarial Sciences program.
In an increasingly data-driven world, everyone should be able to understand the numbers that govern our lives. Whether or not you want to work as a data analyst, being “data literate” will help you in your chosen field. In this course, you’ll learn the core concepts of inference and data analysis by working with real data. By the end of the term, you’ll be able to analyze large datasets and present your results.
This course is intended as a continuation of Foundations of Data Analytics I. In this course, you’ll learn how Data Analytics are applied within the workforce. Particular attention will be paid to the role of the Data Scientist or Analyst, machine learning and the applications of Big Data. By the end of the term, you will be able to design and execute a range of data-driven experiments.
