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First, some facts. Of the Mathematics And Statistics graduates we've analyzed , here's how many have used (or NOT used) their degree in their career:
These are estimates based on AI analysis of 114 LinkedIn profiles (see below).
The verdict? Above average. Overall, with an average relevance score of 73%, Mathematics And Statistics graduates have a higher likelihood (+6%) of finding work in this field compared to the average graduate across all fields:
And for comparison, here's the chart for all profiles we've looked at across all degrees.
Also, after graduating, 57% of these graduates have pursued further education other than another Bachelor's degree (such as a Masters degree or other), compared to the average across all profiles of 35%. This suggests you may need more than just a Bachelors degree to be competitive as a Mathematics And Statistics graduate.
See the details:
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Relevance score: 50% We think this person has gone into a career only somewhat relevant to their degree.
DEGREE INFOGraduated in 2022 from University of Illinois at Urbana-Champaign with a Bachelor's degree in Mathematics And Statistics. No other secondary education since. JOB HISTORY SINCE GRADUATIONMAGNet Intern State Farm Jan 2022 - Present ABOUTI am a Statistics Graduate student and the University of Illinois in Urbana-Champaign with an expected graduation date of December 2022. Currently, I am a State Farm MAGNet intern where I have the opportunity to work on various statistics and data analytics projects for State Farm. Upon graduation, in December I will begin work as a Data Scientist in the Enterprise Technology Department with State Farm. |
The top 10 most common jobs done by the graduates we've analyzed (ranked most common to least) are:
Analyzing the job trajectories of individuals who graduated with degrees in Mathematics and Statistics reveals some fascinating insights into the types of jobs they pursue post-graduation. Many of these individuals have found employment in roles that capitalize on their education, specifically in areas like data analysis, statistical consulting, and various roles within finance and academia. A large portion of them hold positions as data analysts or scientists, which heavily rely on mathematical and statistical knowledge. Others have made their way into education, taking on roles such as math teachers or tutors, where they directly apply their skills in a classroom setting.
However, not all career paths taken by these graduates exhibit a strong connection to their degree. Some individuals have ventured into roles that, while they may utilize analytical thinking or some mathematical concepts, do not primarily require the core mathematical or statistical skills learned during their studies. For example, positions in areas like IT management, project coordination, or even human resources tend to stray from the rigorous applications of mathematics and statistics. Thus, while many jobs taken up by these graduates align well with their educational background and utilize their expertise, a significant number of them appear to diverge into fields where mathematics is not a central focus. This might indicate that graduates are either flexible in their career choices or facing constraints in finding positions specifically tailored to their specializations.
In summary, while the prevalence of data-centric and educational roles reinforces the relevance of a Mathematics and Statistics degree in various industries, it's clear that some graduates may not leverage their education to its fullest in their chosen career paths. The landscape is diverse, showcasing the breadth of opportunities available to those skilled in math and statistics, but also highlighting a reality where the skills gained aren't always required or utilized in every job that the graduates might land.
Here is a visual representation of the most common words in job titles for Mathematics And Statistics graduates:
When looking at the career paths of graduates with degrees in Mathematics and Statistics, there's a pretty clear narrative. Most of these individuals tend to dive into roles that leverage their quantitative skills right out of college, often landing jobs as data analysts, statisticians, or in related technical fields. For example, graduates from top institutions like Imperial College London and University of California have scored positions as machine learning engineers and data scientists shortly after graduation. In contrast, those from slightly less prominent programs may start off with jobs that feel less aligned with their math prowess, like teaching or roles in communication tech.
Fast forward five years or so, and you’ll see a trend where many of these graduates are climbing the ladder in their respective fields. Data science roles appear to be a popular long-term career choice, especially for those who started in entry-level data analyst positions. Many continue to work at established companies, take on more significant responsibilities, or start leading projects. Still, there’s a significant chunk of graduates who end up in jobs that seem less related to their math background. For instance, some might find themselves in roles like communications or logistics, which could feel like a detour from their studies. While the specifics can vary a lot depending on the individual's initiative and the job market, it’s clear that a degree in Mathematics and Statistics opens up valuable doors—but it also requires some navigating. In summary, graduates usually launch into decent math-related careers, but as time passes, those trajectories can scatter into less related fields, which can be disappointing for some.
Honestly, a Bachelor’s degree in Mathematics and Statistics can be pretty challenging, definitely on the harder side compared to many other degrees. You'll dig deep into abstract concepts, complex theories, and a fair amount of problem-solving that requires a solid grasp of logic and reasoning. If you enjoy puzzles and really like math, you'll probably find it rewarding, but be prepared for a lot of homework and some tough classes. It's not insurmountable, though—if you stay motivated and keep up with the coursework, you can totally get through it!
Most commonly, in the LinkedIn profiles we've looked at, it takes people 4 years to finish a Bachelor degree in Mathematics And Statistics.
Looking at the LinkedIn profiles of these mathematics and statistics graduates, it's clear that their earnings vary quite a bit depending on their fields and experience. For instance, someone who graduated from Imperial College London in 2022 and is now a Machine Learning Engineer at Turion Space likely commands a solid salary since tech jobs, especially in AI and data science, tend to pay well. On the other hand, a recent grad from Oregon State University who is still tutoring and led a vote center for a short period might not be bringing in as much, which is common for new grads just starting out right after school. Overall, many of these roles—especially in data science, finance, and engineering—seem to be on the higher end of the pay scale, while some teaching or earlier-stage positions might not be as lucrative.
It's also interesting to note how some of the more experienced graduates have climbed the ladder into roles with significant responsibilities and likely higher salaries, like a senior consultant or a data scientist at reputable firms. Even graduates in stats-related fields often find good opportunities, especially in healthcare or tech. So while some graduates are still building their careers and may not be earning high salaries yet, it looks like many will end up doing quite well, given the trends in data-related fields. Ultimately, it shows that the choices made after graduation—like internships and job roles—can impact earning potential significantly over time.
Here is a visual representation of the most common words seen in the "about" section of LinkedIn profiles who have a Bachelor degree in Mathematics And Statistics. This may or may not be useful:
Here are all colleges offering a Bachelor degree in Mathematics And Statistics (ordered by the average relevance score of their Mathematics And Statistics graduates, best to worst) where we have analyzed at least 10 of their graduates: