B.S. in Mathematics, Applied Data Science 

Do you want to pair your passion for another field with the power of data? The Applied Data Science double major is designed exclusively for students like you who want to combine a primary field of study with a career in a data-driven world. This program provides a strategic and flexible pathway to a wide range of interdisciplinary roles. 

Through a core of targeted coursework, you'll sharpen essential skills in data engineering, machine learning, and statistical modeling. Then, you'll customize your electives to create a unique curriculum that aligns perfectly with your primary major and your career aspirations, whether that's in healthcare, economics, or public policy. 

Program Overview 

120
credit hours 
Including 40 hours of coursework in math and computing. 

 

Double the Impact. 
Choose from over 70 majors to pair with your Applied Data Science degree

 

9:1
student to faculty ratio 
Giving you the one-on-one support you need to succeed.

 

 

Classes you’ll take: 

  • Introduction to Data Engineering 
  • Introduction to C++ Programming 
  • Calculus I 
  • Calculus for Life Sciences I 
  • Calculus II 
  • Basic Probability and Statistics 
  • Linear Algebra 
  • Introduction to Applied Machine Learning 
  • Design Thinking 
  • Introduction to Statistical Modeling 
  • Introduction to Bayesian Statistics 
  • Introduction to Database Systems 
  • Mathematics Seminar 

 *This list represents only some of the required courses. Visit the undergraduate catalog for a full list of courses and course descriptions. 

 

Career Outcomes and Pathways 

Your career opportunities as a double major in Mathematics with an Applied Data Science concentration are endless. By combining the power of data analysis with your second major, you can apply quantitative skills to a field you're passionate about. 

Graduates with this unique blend of interdisciplinary skills are highly sought after and can find success in various roles, including: 

  • Data scientist 
  • Business Intelligence Analyst 
  • Actuary 
  • Financial Analyst 
  • Machine Learning Engineer 
  • Operations Research Analyst 

 


 

Ready to take the next step? 

Take the first step toward using data to solve real-world problems in your chosen field.