Actuarial Science
Multiple Career Pathways
$106k Actuary median salary
21% job growth
Our Actuarial Science degree turns data and math skills into financial opportunities.
Launch this jobs-focused Actuarial Science degree for students who want to turn math and data studies into exciting and lucrative career opportunities.
Our interviews with over 20 Fortune 500 employers, prominent actuaries, and academics led to this program, built to address the needs of real-world employers. Namely, less focus on the highest level math courses (which tend to apply to niche roles) and more data skills for a broader knowledge base.
Roles for actuaries are growing.
Salaries are increasing.
Students want in.
2 of top 20
Highest paying bachelor's degrees belong to actuarial scientists
$106K
Actuary median annual salary
+21%
Job growth over the next decade
What makes the Rize Actuarial Science program attractive to prospective students
Professional & Academic Experts
Dr. Darren Mason
Michigan State University,
Albion College
Albion College
Chad Glenn
Chief Actuary,
Central Mutual insurance Company
Central Mutual insurance Company
Alden Stowe
Actuarial Manager,
United Health
United Health
ACADEMIC ADVISORS
Rize programs leverage the courses you already have:
Our Academic Partners will work directly with you to build a unique program leveraging and integrating courses you already have in your catalog.
A potential Actuarial Science major could look like this:
Example courses from your institution
Calculus I, II, & III
Introductory Computer Programming
Microeconomics
Accounting I & II
Macroeconomics
Mathematical Statistics
Linear Algebra
Courses from Rize
Mathematical Theory of Interest
Probability for Actuaries
Actuarial Science and Risk Management with R
Foundations of Data Analytics I
Foundations of Data Analytics II
Courses and curriculum
Actuarial Science course descriptions
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.
ASM 1 | Mathematical Theory of Interest
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.
ASM 2 | Probability for Actuaries
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.
ASM 3 | Actuarial Science and Risk Management with R
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.
DAM 1 | Foundations of Data Analytics I
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.
DAM 2 | Foundations of Data Analytics II
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.
Students give these courses rave reviews
“The projects we had to do were very motivating… It sparked interest in me, got the light going in my brain - I loved doing the projects!”
Cole B.
Walsh University
“Rize has given me an opportunity to add something to my degree. Something that I wanted to find at my school but wasn’t there.”
Chisunta C.
Albertus Magnus College
“Class experience is amazing!”
Mary D.
Mary Baldwin University
“It’s helped me know what I want to do in my career because of how immersive the assignments are.”
Jacob J.
Lasell University
“Even though everything was online… it still felt like the same kind of small classroom that I really enjoy, and that’s why I chose my college - so I kinda got that same experience even thru the computer.”
Summer R.
Lasell University
"One of the things I liked about [it] was getting to meet new people from different colleges and getting to hear new experiences and opinions."
Kara B.
Lasell University
Ready to learn more?
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