## Why Mathematical Data Science?

As we launch our new major in Mathematical Data Science, we're excited to offer students a unique blend of traditional data science skills and mathematical expertise. With a strong foundation in mathematics and statistics, graduates will stand out among their peers as leaders in the field.

By combining rigorous mathematical modeling techniques with cutting-edge statistical processing methods, our program prepares students to take on leadership roles within data science teams. They'll be equipped to tackle complex problems, analyze large datasets, and drive innovation forward.

But that's not all. Our graduates will also develop the ability to think creatively, using their mathematical problem-solving skills to push the boundaries of what's possible in data science. By applying mathematical rigor to data analysis, they'll uncover new insights, identify patterns, and make predictions with unprecedented accuracy.

## What are possible career opportunities?

There are plenty of future careers in data science, but we encourage you to make sure that you verify for yourself. The BS in Mathematical Data Science degree gives you access to many careers, some of which in the list below.

- Data Scientist
- Machine Learning Engineer
- Business Analyst
- Financial Analyst
- Medical Analyst
- Data Journalist

## Are you considering an MS or Ph.D?

Due to the mathematical background, students should expect to be **fully prepared** for graduate school in data science, mathematics, or statistics.

## Are you considering a dual major?

Both a computer science major and mathematics major have significant overlap with the Mathematical Data Science major. The addition of a dual major should not add too much to your graduation timeline while making you more competitive for your future careers. However, we strongly suggest talking to an advisor before committing to a dual major.

More information is avalible in the Undergraduate Catalog or by consulting the undergraduate advisor, John Zweibel.