Master of Science in Statistics and Data Science

A graduate degree from the Lehigh University College of Arts and Sciences (CAS)

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Turn Data into Valuable Insight

Our MS in Statistics and Data Science program gives students the analytical and computational foundation to transform complex data into meaningful insights. As part of this program, you’ll gain hands-on experience using Python, R, and other cutting-edge tools to manage, analyze, and visualize complex data. Projects and research opportunities help you apply classroom learning to real data-driven problems.

At Lehigh, an R1 research institution, you’ll join a collaborative community where quantitative reasoning meets real-world application. Faculty members and peers alike will challenge and support you as you develop the technical expertise and critical thinking skills needed to address data-driven problems.

Ready to learn more? Fill out the form to request additional information about the program and discover how Lehigh can help you achieve your goals.

 
 
 
 
 
 
 
 
 

Supporting Positive Student Outcomes: College of Arts and Sciences

9:1

Student to faculty ratio

94%

Of CAS graduate students receive funding to support their education

Career Stats - MS in Statistics and Data Science
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Industries

CAS graduates frequently join the following industries:

  • Government (41%)
  • Higher Education (24%)
  • Healthcare (18%)
  • Energy (6%)
  • K–12 Education (6%)
  • Nonprofit (5%)
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Why Lehigh?

At Lehigh, you’ll find the right balance of academic rigor, personal support, and practical experience that sets our MS in Statistics and Data Science program apart. With us, you’ll benefit from:

A Campus Designed for Focus and Opportunity

Nestled in Pennsylvania’s scenic Lehigh Valley, our beautiful campus provides the ideal setting to step away from daily distractions and fully commit to your studies. Here, you'll benefit from both a peaceful environment and access to major business hubs—just a short drive to New York City and Philadelphia. With the region's rapid growth and strong university connections to leading companies, you truly get the best of both worlds.

Our Status as an R1 Research Institution

As one of just 187 R1 research universities in the nation, Lehigh offers graduate students the opportunity to engage in meaningful, high-impact research guided by expert faculty.

A Close-Knit Community

Small class sizes, accessible faculty, and a team focused on your career development mean you won’t just be another face in the crowd. You’ll form strong connections with professors, advisors, and peers who are invested in your success.

Learning With Real-World Impact

A Master’s in Statistics and Data Science develops the knowledge and skills that will make you a sought-after professional. Lehigh’s close ties to regional and national employers—combined with its R1 research designation—create opportunities for collaboration and career advancement. Our students are prepared for careers in science, research, finance, engineering, medicine, academia, and technology industries.

MS in Statistics and Data Science Admissions Requirements

Wondering how to apply to the program? Here’s what you need to know:

Application Deadlines

The application deadline for this program is June 30.

What You Need to Apply

  • Completed online application
  • $50 non-refundable application fee
  • Official transcripts (unofficial transcripts are acceptable for application review)
  • Two letters of recommendation
  • Personal statement
  • Resume/CV
  • Demonstrated English proficiency (if applicable)

FAQs

When is the final deadline to apply?

All applications for the Statistics and Data Science MS program are due by June 30. 

When do classes start?

This program begins in the fall, which means classes start in late August.

How long does the degree take to complete?

Students in this program typically complete 30 credit hours over the course of four semesters.

Are scholarships available?

Lehigh offers a limited number of distinguished fellowships and scholarships for outstanding graduate students. Academic departments may nominate candidates, who are then selected by a faculty committee. Awards may include multi-year stipends and tuition support.