Analysis and Insight
Turn raw data into understanding that informs decisions.
- Business Analyst
- Data Analyst
- Intelligence Analyst
- Market Research Analyst
- Sports Analyst
Is a Statistics Major Useful?
A statistics major focuses on understanding how to collect, analyze, interpret, and communicate data to make informed decisions in uncertain situations. Statistics is an extremely useful degree, offering highly transferable skills like statistical analysis, predictive modeling, and problem-solving. From medicine and economics to science, sports, policy, and the environment, most industries rely on big data.
The McKinsey Global Institute predicts that there will be a shortage of analytical talent in a data-rich world. Developing the right skills can lead to a timeless, flexible career that applies across industries.
What Skills Do You Learn?
- Statistical modeling and software. Build a strong foundation in statistical theory, calculus, linear algebra, and probability. Learn to assess bias and apply appropriate methods to real-world problems using programming tools such as R, SQL, Excel, and Python.
- Data visualization. Translate complex data into clear charts, graphs, and visualizations. Learn to present statistical findings to diverse audiences with varying levels of technical expertise.
- Critical thinking and problem solving. Evaluate data quality, assumptions, and conclusions. Apply multiple approaches to answer questions and reduce bias in complex problems.
- Research design and ethical reasoning. Design surveys and collect data with attention to fairness, privacy, and public trust.
- Contextual thinking and analysis. Connect data to real-world contexts, including culture, historical trends, and human behavior, to deepen understanding and support meaningful interpretation.
- Experimental methods and statistical inference. Conduct experiments and A/B tests, develop sampling strategies, and use methods such as regression and time-series analysis to draw meaningful conclusions from data.
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Modeling and Research
Develop models to explain patterns and test hypotheses.
- Biostatistician
- Mathematician
- Professor
- Statistician
- Researcher
- Consultant
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Data Science, Computing, and AI
Build advanced systems, algorithms, and predictive tools.
- Data Miner
- Data Engineer
- Data Scientist
- Machine Learning Engineer
- Software Engineer
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Risk and Forecasting
Anticipate outcomes and reduce risk.
- Actuary
- Demand Planner
- Financial Analyst
- Operations Research Analyst
- Quantitative Analyst
- Risk Analyst
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Health, Science, and Engineering
Apply statistics to healthcare and complex systems.
- Bioinformatics Scientist
- Industrial Engineer
- Pharmaceutical Engineer
- Research Scientist
- Systems Engineer
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Strategy and Management
Guide strategy, improve operations, and evaluate results.
- Budget Analyst
- Consultant
- Management Analyst
- Project Manager
- Quality Analyst
Is Statistics a Good Major?
Statistics is a strong choice for students seeking long-term, adaptable skills that lead to flexible career paths and high earning potential. As data and analytics become increasingly central to decision-making across industries, there is a growing demand for professionals who can translate data into meaningful insights. Whether a role focuses on guiding decisions, improving systems, or advancing organizational goals, statistical understanding helps professionals excel.
Is a Degree in Statistics Worth It?
In today's data-driven world, the need for professionals who can analyze data and communicate complex ideas has increased. Nearly every industry, role, and organization benefits from unbiased data, as it helps individuals make informed decisions to advance their goals. A statistics degree prepares students for high-earning, in-demand careers and equips them with skills that matter across industries.
From 2024-2034, jobs in mathematics and statistics are projected to grow at an 8% rate, which is faster than the average. In fact, there is a global shortage of over 1.5 million managers with analytical expertise, and 87% of employers are struggling to find data and analytics talent. A statistics degree can prepare students for a growing career path with opportunities to grow and develop.
Is Statistics a Hard Major?
Statistics can be a challenging but rewarding major. While it involves mathematics, computing, and analytical thinking, it also builds highly valuable skills that are in strong demand in today’s job market. With good study habits, a supportive learning environment, and curiosity about data, students can succeed and find the coursework manageable. Those who enjoy solving problems and working with data often find the challenge especially rewarding.
Make the Most Across Disciplines
Since statistics and data apply to nearly every industry, it's helpful to consider what field you want to work in. Willamette students can consider double-majoring or minoring in other disciplines to develop a unique set of skills that translates directly into career paths. Consider common pairings such as:
- Statistics and Computer Science. Develop the ability to create algorithms and analyze data, leading to roles in machine learning and AI.
- Statistics and Economics. Analyze large datasets and patterns to draw conclusions. Prepare for roles in finance or actuarial science.
- Statistics and Biology. Understand the connection between research, data analysis, and science that applies to roles in biostatistics and research.
- Statistics and Business. Develop skills to help make informed decisions based on data and market trends. Pave a path towards consumer research or marketing positions.
Why Choose Willamette for Statistics?
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