Statistics and Data Science Lehigh University

Overview

The field of statistical sciences focuses on the development of methodologies to extract insights and make informed decisions based on data amidst uncertainty. This discipline leverages various mathematical branches, particularly probability theory, to create robust analytical frameworks. Pursuing a graduate education in statistical sciences opens doors to numerous sectors, including physical and social sciences, healthcare, business, and governmental roles. Notably, over 130 universities across the United States provide graduate programmes in this essential field. Despite a general decline in graduate enrolment in many areas, statistics has seen a consistent interest, with approximately 1,000 M.Sc. degrees in Statistics and Biostatistics awarded annually. A significant study by the NSF and DOE highlighted that during the 1990s, the demand for professionals in statistics, alongside certain engineering fields, was expected to exceed supply, underscoring the importance of this area in today’s job market.

The M.Sc. in Statistics and Data Science at Lehigh University requires students to complete 30 credit hours of graduate coursework, with a stipulation that at least 18 of these hours must be from 400-level courses. Admission prerequisites include an undergraduate degree with a minimum of 9 semester hours in calculus. Students lacking courses in linear algebra, complex variables, or advanced calculus are encouraged to take specific foundational courses at Lehigh. Additionally, students may opt to replace up to 6 credit hours with a master's thesis, and all candidates must successfully pass a comprehensive examination covering fundamental concepts in probability, statistics, and linear algebra.

Why Statistics and Data Science at Lehigh University?

Lehigh University is renowned for its strong academic reputation and robust partnerships with various industries. The university boasts state-of-the-art facilities that enhance the learning experience, providing students with access to the latest technologies and resources in statistical analysis and data science.

Tuition Fee Breakdown

The tuition fee for the M.Sc. in Statistics and Data Science is USD 1,590 per credit for both domestic and international students. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The programme offers two distinct tracks: Statistics and Stochastic Modelling. Below is an overview of the recommended courses for each track:

• Statistics Track
  • Probability with Applications and Simulation
  • Statistical Computing and Applications
  • Applied Linear Algebra
  • Random Processes and Applications
  • Mathematical Statistics
  • Linear Models in Statistics with Applications
• Stochastic Modelling Track
  • Theory of Probability
  • Random Processes
  • Advanced Probability
  • Real Analysis I
  • Mathematical Statistics
  • Advanced Stochastic Processes

Students are encouraged to select electives from a diverse range of advanced topics, including Statistical Machine Learning and Time Series Analysis, to tailor their educational experience according to their career aspirations.