Is College Statistics Necessary? Exploring the Value of Statistical Education

The question of whether a college degree is "worth it" is increasingly common in today's world. If you're contemplating skipping college, it's crucial to consider the facts to make an informed decision. This article delves into the value of a statistics education, exploring its relevance, career paths, and the skills it imparts.

The Financial and Societal Benefits of a College Degree

A Georgetown University Center on Education and the Workforce study highlights the significant lifetime earnings gap between those with a high school diploma and those with a college degree. On average, a high school diploma holder will earn $1,304,000 over their lifetime. In contrast, those with bachelor's degrees earn $2,268,000, and those with master's degrees can expect $2,671,000 - double that of a high school education.

The Bureau of Labor Statistics also reveals a stark difference in unemployment rates. For high school graduates, the unemployment rate is 6.7%, nearly double the 3.7% rate for college graduates. This demonstrates that a college degree provides a degree of employability, especially during times of economic instability.

Furthermore, poverty rates are significantly lower for college graduates. The poverty rate for those without a degree is 13.2%, while for those with a bachelor's degree, it drops to just 4%. While it's important to consider other factors influencing poverty rates, education clearly plays a vital role.

The Monthly Labor Review confirms that the financial benefits of higher education outweigh the expenses, solidifying college as a worthwhile investment.

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Why Statistics? Unveiling a World of Empirical Analysis

Many people express apprehension or dislike when the subject of statistics arises. However, statistics offers a unique opportunity to tell a story through data. The ability to extract meaning from raw data and present it in a compelling narrative is a valuable skill.

Statistics as a Language: Crafting Stories from Data

Think of calculations as food recipes. You follow the instructions closely, and if you add the ingredients in correct proportions, you get to the end, you try the food. Tasting what you made is the equivalent of getting your numbers. You add your final touches and make variations to the ingredients with your interpretation of the results. Crafted stories add more flavor to the final dish. Working with raw and messy datasets teaches valuable lessons.

Understanding Variation: The Key to Statistical Insight

We are trying to understand why our data has variations. The fact is that some students achieved better grades than others, and we need to find out why. Of course, the question above has a straightforward explanation. Student performance directly affects the result. Even though some variation may be due to exhorted effort, what about the unexplained grade shifts?

First learn the expected value to obtain. For example, what was the average grade in the exam? Then, consider how we observe higher and lower values when compared to that average. When people are thinking of variation, it is the standard deviation that is the most critical measure of variation.

Statistics and understanding of concepts like standard deviation can help set you apart in the job market.

Exploring the Statistics Major: A Versatile Path

A statistics major equips students with the tools to use data to tackle real-world problems. From disease prevention to storm prediction, statistics is applicable across diverse fields. Learning to collect and analyze complex information can empower majors to contribute to public policy, business decisions, and more.

Core Skills and Coursework

Statistics majors learn how to gather, analyze, and interpret data. Passionate mathematicians who plan to go to graduate school can pursue more math-heavy coursework in Bachelor of Science programs, while students interested in practical applications might consider a Bachelor of Arts pathway.

Students should understand calculus, linear algebra, and probability, along with their connections and relevance to statistics, according to the American Statistical Association. Through their coursework, majors become familiar with probability, data analysis, and the theory of statistics. Majors may fulfill some requirements by taking courses in other departments, such as computer science. Statistics majors may also pursue a minor or a second major in a field that allows them to apply statistical methods.

Students considering actuarial work can look for an actuarial course sequence or track within their major. At some schools, like Case Western Reserve University, students can choose between a B.A. and B.S. degree path. Other schools give students the opportunity to pursue a combined degree in statistics and computer science or statistics and economics, for instance.

Statistics vs. Accounting: Understanding the Difference

While both fields heavily involve mathematics and numbers, statistics and accounting are very different. Accounting majors learn how to analyze, record, and manage financial data for organizations or individuals. These programs are usually part of a university’s school of business and are a good fit for students who wish to pursue careers in accounting or auditing.

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Statistics majors often study under a college of math and science or college of arts and sciences, and their curriculum focuses more on data than finance and business. Statistics majors learn about probability, big data, and machine learning and can apply their knowledge across a variety of roles. As a result, schools may offer concentrations so statistics majors can focus on their area of interest or what they plan to do after graduation. Statistics concentrations differ by institution but may include applied statistics, mathematical statistics, statistical computing and data science, or sports analytics.

Career Opportunities with a Statistics Degree

With an undergraduate degree in statistics, you can pursue opportunities as a data analyst, research assistant, or risk analyst. The major can lead you to a career in government, health care, sports, insurance, or a variety of other industries. You can also look into becoming an actuary, especially if you enrolled in an actuarial track as an undergraduate.

Depending on your academic background and interests, graduates can also consider returning to school for master’s degrees in statistics, biostatistics, and computer science, for instance. For those eyeing careers conducting research or teaching as statisticians, a doctorate will likely be necessary.

The job outlook for some roles that statistics degree holders might pursue - such as data scientist, statistician and actuary - is positive. Bureau of Labor Statistics projects that those three jobs will see growth at a much faster rate than other occupations in the coming years, and the median annual wage for math occupations was $99,590.

Here's a glimpse into some specific roles and their projected growth:

Economist: \$128,180 Average Annual Salary, 6% Projected Employment Growth Rate
Actuary: \$127,580 Average Annual Salary, 23% Projected Employment Growth Rate
Data scientist: \$115,240 Average Annual Salary, 35% Projected Employment Growth Rate
Statistician: \$105,510 Average Annual Salary, 32% Projected Employment Growth Rate

Expanding Your Skillset

Because data and statistics are ubiquitous, people with a statistics degree work in a variety of fields and industries. So even those who don’t attend grad school might benefit from pursuing certifications and expanding their knowledge, depending on their role.

While statistics majors often take some computer programming or computer science courses, learning programming languages like Python and R can be useful for statistics degree holders who work in the data science field. Learning how to build charts and graphs using data visualization tools can also be a useful skill for presenting statistics to the general public or to stakeholders in a company meeting.

Real-World Applications and Testimonials

"Being a statistics major has allowed me to apply my affinity for math to real-world settings. Throughout my statistics courses these past four years, I’ve spent a large portion collecting and analyzing real data and finding ways I can interpret my analysis. Contrary to popular opinion, statistics allows you to express your creative side, as choosing your method of analysis and interpretation is largely subjective."

"The Statistics major at the University of Michigan has helped me in a lot of ways. I have taken classes across a broad spectrum of subjects including more traditional theoretical statistics and linear regression but also biostatistics and Machine Learning. The applications of statistics are far-reaching and very useful in the corporate world, whether that be in a data science role or in a role in finance such as output/risk/loss modelling using normal distributions (for loans, energy, insurance or any other industry)."

"My experience as a statistics major is a great one. I came into school focusing on sport statistics, and there were a lot of opportunities with that. I went to outside of class lectures about sport statistics offered by the baseball team and I joined the statistics club. Eventually I realized I wanted to focus on data analytics instead of sports. Luckily for me, statistics is used in almost every field. From psychology to tech, statistics is useful. At Mizzou there are many certificates from biostatistics to sport statistics that you can emphasize your degree in. Even without emphasis you can go into any field that needs to be analyzed. There are opportunities everywhere, and I got experience outside of class with a project on the lottery. I would recommend this major if you’re interested in analyzing data and are interested in another field. You can specialize in analysis for another field using this degree."

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