99 Top Actuarial Science Dissertation Topics for 2025

Risk theory Dissertation topics

• Analyse how ruin probability in classical risk models changes when incorporating mixed claim size distributions across diverse insurance portfolios
• Study capital allocation methods while evaluating how correlated risk sources influence the solvency position of multi-line insurers
• Examine heavy-tailed claim behaviour although applying Bayesian estimation techniques to improve risk process accuracy
• Compare discrete and continuous risk models for solvency monitoring when insurers operate under fluctuating economic conditions
• Explore how reinsurance structures can alter portfolio volatility as insurers balance retention and transfer of large but infrequent risks
• Assess stop-loss premium calculations using empirical claims data while testing the sensitivity of premium levels to extreme events
• Investigate aggregate risk modelling under regime shifts where claim intensities evolve during economic transitions
• Model catastrophe risk while analysing how excess-of-loss treaties affect expected loss distributions for insurers
• Evaluate risk processes under random interest environments where fluctuating economic rates reshape capital requirements
• Study dependence in multivariate risk models using copulas while assessing how joint extreme events influence insurer solvency

Life insurance and mortality modelling Thesis topics

• Analyse mortality improvement trends using national population data while identifying structural shifts that influence life expectancy projections
• Model longevity risk although integrating cohort effects to understand long-term uncertainty in retirement and annuity portfolios
• Evaluate annuity pricing while using advanced stochastic mortality frameworks to reflect unpredictable survival patterns
• Study mortality shocks after incorporating pandemic-related disruptions that temporarily or permanently alter death rates
• Compare modern mortality tables for consistent pricing applications while analysing their calibration differences
• Estimate survival models using machine learning techniques that can detect nonlinear mortality patterns
• Analyse underwriting risk as insurers adjust age-based pricing to reflect updated medical and demographic information
• Forecast mortality using time-series mortality frameworks while capturing dynamic improvements across age groups
• Investigate socioeconomic effects while modelling mortality risk to understand disparities in life expectancy
• Examine policy lapse behaviour although studying how persistency patterns change during economic pressure

Non-life insurance and pricing Research topics

• Study claim frequency modelling using zero-inflated methods that address excess zeros in policyholder claim behaviour
• Evaluate motor insurance pricing although integrating telematics data to measure driver behaviour more accurately
• Analyse insurance fraud detection using supervised learning while testing different feature selection strategies
• Compare rating factor contributions to premium levels for fair pricing outcomes across demographic groups
• Investigate claim severity modelling using generalized linear models to understand variability in high-cost claims
• Model property losses while integrating climate-related variables that influence risk exposure
• Study deductible effects although assessing how claim distribution changes under alternative policy designs
• Analyse underwriting cycles in non-life insurance markets while connecting them to macroeconomic indicators
• Evaluate pricing fairness as insurers adopt automated or AI-driven pricing models across retail lines
• Investigate portfolio segmentation using clustering techniques to create more accurate risk groups

Pension and retirement systems Dissertation topics

• Analyse pension fund sustainability under ageing demographic trends while assessing long-term funding needs
• Evaluate defined benefit plan obligations although modelling how salary progression affects pension liabilities
• Compare defined contribution plan outcomes using simulation techniques to measure retirement adequacy
• Investigate longevity risk hedging strategies in pension portfolios while examining hedge effectiveness
• Assess retirement income adequacy while analysing income-replacement ratios across socioeconomic groups
• Study investment strategy effects on pension solvency when markets experience extended volatility
• Evaluate policy reforms although modelling how new regulations impact national pension systems
• Examine annuitization decisions in retirement planning while exploring behavioural influences
• Model contribution rate adjustments under economic uncertainty while forecasting fund sustainability
• Study pension guarantee schemes using risk-based pricing frameworks for long-term financial stability

Health insurance and medical risk Thesis topics

• Model health claim patterns using regression techniques while identifying drivers of rising healthcare costs
• Examine adverse selection while analysing how policyholders with higher risks choose specific health plans
• Analyse medical cost inflation although evaluating how benefit design changes impact total claims
• Study chronic disease risk and its influence on premium structures for long-term insurance sustainability
• Model provider reimbursement while comparing cost variations across payment systems
• Evaluate health risk scoring using predictive models that incorporate demographic and behavioural factors
• Assess policyholder behaviour under deductible changes while measuring shifts in claim frequency
• Investigate catastrophic health claims for pricing stability while analysing high-severity claim drivers
• Examine telehealth adoption while modelling how usage patterns influence healthcare cost trends
• Analyse seasonal claim fluctuations using time-series models to identify peak demand periods

Financial risk and investment modelling Research topics

• Model portfolio risk while applying value-at-risk techniques that capture tail-event movements
• Analyse interest rate dynamics using stochastic calculus to understand fluctuations in bond valuations
• Evaluate asset–liability matching although assessing how mismatches increase solvency risk
• Study credit risk scoring using machine learning models that incorporate alternative borrower data
• Assess investment strategy outcomes using Monte Carlo simulations while stress-testing extreme scenarios
• Model bond price volatility while using term structure models that capture yield curve shifts
• Investigate equity market volatility clustering using GARCH techniques to model short-term variations
• Examine asset bubble formation although studying pricing deviations from fundamental values
• Study risk diversification when integrating ESG factors into long-term investment portfolios
• Evaluate hedge effectiveness using derivatives while examining risk reduction under market turbulence

Actuarial data science and analytics Dissertation topics

• Use neural networks for claim prediction although analysing interpretability challenges in insurance models
• Study policyholder segmentation using unsupervised learning while identifying behavioural risk clusters
• Evaluate pricing accuracy while applying gradient boosting to improve non-life premium models
• Assess data quality issues for actuarial modelling while examining how missing data affects prediction
• Analyse big data applications although ensuring governance and regulatory alignment in actuarial models
• Investigate model drift in insurance prediction systems that gradually lose accuracy over time
• Evaluate explainable AI tools for regulatory compliance in actuarial modelling frameworks
• Study claims forecasting using hybrid machine learning models that combine statistical and AI methods
• Examine feature engineering while measuring how variable transformations improve model accuracy
• Investigate telematics analytics for usage-based motor insurance while evaluating behavioural patterns

Regulation, compliance and actuarial standards Thesis topics

• Study solvency regulation effects while comparing how different risk-capital models influence insurer stability
• Analyse IFRS 17 implementation for pricing transparency while assessing impacts on reporting
• Evaluate governance standards although examining how actuarial oversight influences risk management
• Investigate consumer protection changes in insurance pricing while analysing regulatory fairness
• Assess regulatory reporting while modelling how capital requirements differ by risk category
• Study compliance gaps in emerging insurance markets while identifying systemic weaknesses
• Examine actuarial ethics although reviewing real-world mispricing and valuation cases
• Analyse audit processes for actuarial valuations while identifying sources of estimation error
• Evaluate prudential standards while assessing how insurers meet long-term stability requirements
• Compare risk-based capital regulations across jurisdictions while identifying harmonization challenges

Climate, environment and catastrophe modelling Research topics

• Model climate risk while estimating insurance losses under increasing frequency of extreme events
• Study flood risk pricing using hazard mapping tools to assess probability and damage severity
• Analyse wildfire loss trends although integrating environmental and land-use variables
• Assess extreme weather behaviour using extreme value theory to model tail-risk outcomes
• Evaluate catastrophe bond structures while analysing how trigger mechanisms affect investor risk
• Examine climate adaptation policies although assessing their impacts on insurance markets
• Model coastal property risk using geospatial flood and erosion datasets
• Study agricultural production risk while modelling crop yield variability under climate stress
• Analyse drought impacts using probabilistic modelling to support agricultural insurance design
• Investigate green finance trends while evaluating risk-adjusted returns on sustainability assets

Emerging actuarial applications Dissertation topics

• Study cyber risk pricing using multivariate risk models while analysing increasing digital vulnerabilities
• Analyse autonomous vehicle risk although evaluating how new driving technologies reshape insurance pricing
• Assess gig-economy worker coverage while modelling risk exposures for flexible labour markets
• Investigate fintech adoption while analysing how new financial services influence risk assessment
• Examine cryptocurrency market risk while evaluating portfolio exposure across volatile digital assets
• Model parametric insurance while designing simplified trigger structures for rapid payouts
• Evaluate wearable health-device data as it influences underwriting decisions in life and health insurance
• Study peer-to-peer insurance platforms using collective risk models to analyse community-based pooling
• Analyse digital fraud risk although applying anomaly detection for early identification