Texas Tech University

Actuarial Science Minor

Actuarial Science is an interdisciplinary field combining mathematics, statistics, finance, and economics to assess and manage financial risk. Graduates pursue careers in insurance, finance, consulting, analytics, and related fields.

 

Introduction

Actuarial Science (AS) is a career-driven field that combines mathematics, statistics, finance, and economics to analyze and manage financial risk. Actuaries use data and quantitative models to solve real-world problems in insurance, finance, healthcare, and beyond.

For students who enjoy math and want a clear career path, Actuarial Science offers strong job demand, competitive starting salaries, and long-term professional growth. Success in the field is built around passing a structured series of professional exams, leading to Associate and Fellow credentials.

Students choose an early specialization track based on career interests. Life, health, and pension pathways follow exams from the Society of Actuaries (SOA), while property and casualty careers follow the Casualty Actuarial Society (CAS). This site highlights how Texas Tech University students can prepare for these exams and position themselves for actuarial careers.

Why Actuarial Science at Texas Tech?

Texas Tech University’s Actuarial Science program is designed for students who want a direct path from the classroom to a professional actuarial career. The curriculum builds a strong foundation in mathematics and statistics while aligning coursework with Society of Actuaries (SOA) and Casualty Actuarial Society (CAS) exam topics.

Students benefit from structured exam preparation, access to experienced faculty advisors, and a program that emphasizes problem-solving, analytical thinking, and real-world applications. Coursework prepares students not only to pass actuarial exams, but also to succeed in internships and entry-level actuarial roles.

With flexible degree and minor options, Texas Tech allows students to tailor their academic path to match their career goals, whether they plan to pursue insurance, finance, risk management, or related quantitative fields. Graduates leave with marketable skills, exam progress, and a competitive edge in the actuarial job market.

Actuarial Careers

Actuarial career paths and common industries/applications
Actuarial Career Path Industry / Application
Actuarial Analyst Insurance, Risk Analysis, Financial Services
Life & Health Actuary (SOA Track) Life Insurance, Health Insurance, Pensions, Benefits Consulting
Property & Casualty Actuary (CAS Track) Auto, Homeowners, Commercial Insurance, Reinsurance
Consulting Actuary Actuarial Consulting Firms, Corporate Strategy, Risk Advisory
Risk Analyst / Risk Manager Enterprise Risk Management, Banking, Corporate Finance
Data Scientist / Quantitative Analyst Data Analytics, Insurtech, Technology & AI-Driven Risk Modeling
Financial Analyst Investment Firms, Asset Management, Corporate Finance
Chief Actuary / Actuarial Leadership Insurance Leadership, Executive Management, Corporate Strategy

Preparing for a Career in Actuarial Science (U.S.)

Actuarial employers in the United States expect candidates to demonstrate progress toward professional certification before graduation. Successful applicants typically enter the job market having passed at least one preliminary actuarial exam and completed key educational requirements.

At Texas Tech, actuarial preparation is built directly into the curriculum. Coursework supports both preliminary exam preparation and Validation by Educational Experience (VEE) requirements, allowing students to make measurable progress toward professional credentials while completing their degree.

Preliminary Actuarial Exams (CAS / SOA)

Preliminary exams are offered twice per year (spring and fall) at testing centers nationwide. These exams form the foundation of actuarial training and are a critical component of entry-level hiring decisions.

  • Exam P / 1 – Probability
  • Exam FM / 2 – Mathematics of Finance
  • Exam 3F–3L / MFE–MLC – Actuarial Modeling
  • Exam C / 4 – Construction and Evaluation of Actuarial Models

Validation by Educational Experience (VEE)

VEE credit is earned through approved college coursework rather than exams and is required for Society of Actuaries (SOA) credentials. Texas Tech courses are aligned with all three VEE areas.

  • Mathematical Statistics
  • Accounting & Corporate Finance
  • Economics

CAS Exams 1, 2, and 4 correspond directly to SOA Exams P, FM, and C. However, CAS Exam 3F–3L does not align exactly with the SOA MFE–MLC exam. As a result, students typically select an SOA or CAS specialization track early in their academic and exam planning.

By combining rigorous coursework, targeted exam preparation, and early specialization, Texas Tech students graduate positioned for actuarial internships and entry-level professional roles.

Undergraduate Preparation

Texas Tech University offers a Minor in Actuarial Science designed to prepare students for preliminary actuarial exams and entry-level actuarial positions. The minor is advised by Dr. Alex Trindade and Dr. Zari Rachev and consists of six carefully selected courses spanning mathematics, economics, and finance.

This coursework builds the quantitative foundation required for actuarial exam preparation while also supporting SOA VEE requirements. Courses shown in bold are required.

Required & Approved Coursework

Mathematics

  • MATH 3356 (Prerequisite: MATH 1452)
  • MATH 4342 (Prerequisite: MATH 2450)
  • MATH 4343 (Prerequisite: MATH 4342)

Economics

  • ECO 2301 / AAEC 2305
  • ECO 2302 (Prerequisite: ECO 2301)
  • ECO 4305 / AAEC 4302

Finance

  • FIN 3320 (Prerequisites: ACCT 2300/2301, ECO 2302/2305, MATH 2345)
  • FIN 3323 (Prerequisite: FIN 3320)
  • FIN 3324 (Prerequisite: FIN 3320)

Courses used for the Actuarial Science minor may not overlap with major degree requirements.

Graduate Preparation

For students seeking advanced actuarial credentials, leadership roles, or long-term professional advancement, a Master’s degree in Statistics provides rigorous preparation for upper-level actuarial exams and complex analytical work in the profession.

Graduate study deepens theoretical understanding and strengthens computational and modeling skills that align closely with upper-level SOA and CAS exam content, as well as modern actuarial practice in data-driven environments.

Key Areas of Preparation

  • Graduate-level Mathematical Statistics (exam theory and probability modeling)
  • Regression and Time Series Analysis (predictive modeling and forecasting)
  • Bayesian Statistics (risk updating and decision-making under uncertainty)
  • Stochastic Processes (insurance risk and survival models)
  • Monte Carlo Methods (simulation-based risk assessment)

Who Should Consider Graduate Study?

Graduate preparation is well suited for students who plan to pursue Fellowship credentials, are interested in research or advanced modeling roles, or want to remain competitive in actuarial, financial, and quantitative analytics careers. It is especially recommended for students who have made early progress on preliminary actuarial exams and want to strengthen their long-term career trajectory.

Recommended Path to an Actuarial Career

Most successful actuarial candidates follow a deliberate, multi-stage path that combines coursework, early exam progress, and professional experience. Texas Tech’s academic structure supports each step of this progression.

Years 1–2: Foundation

Complete core mathematics and statistics coursework while beginning economics and finance requirements. Students should explore actuarial careers early and plan coursework with exam preparation in mind.

Years 2–3: Exam Preparation

Enroll in actuarial-aligned courses and begin structured preparation for preliminary exams. Students pursuing the Minor in Actuarial Science should be actively studying for Exam P or Exam FM.

Years 3–4: Professional Readiness

Pass at least one preliminary actuarial exam, complete VEE coursework, and pursue internships or applied experiences. Exam progress at this stage is critical for entry-level hiring.

Postgraduate: Advancement

Consider graduate study in Statistics to strengthen advanced modeling skills and prepare for upper-level SOA or CAS exams while progressing toward professional credentials.

Recommended Exam Timeline

While individual timelines vary, the outline below reflects a common and competitive progression for actuarial students.

  • Sophomore Year — Begin preparation for Exam P (Probability)
  • Junior Year — Sit for Exam P or Exam FM; complete core VEE-related coursework
  • Senior Year — Pass a second preliminary exam; pursue internships or full-time actuarial positions
  • Graduate Study (Optional) — Prepare for advanced SOA or CAS exams while strengthening statistical modeling expertise

Advising & Next Steps

Students are encouraged to meet regularly with an undergraduate advisor to plan coursework and ensure timely progress toward graduation.

Speak to an Advisor

 

Department of Mathematics & Statistics