Master of Applied Statistics at Penn State University

USD 30,810

Penn State University, USA

Type: Masters Duration: 2.0 years

Explore the Master of Applied Statistics program at Penn State University. This program is offered in USA and provides an excellent learning opportunity in Masters studies.

The Master of Applied Statistics offered by Penn State World Campus is a comprehensive online program designed to equip students with advanced statistical modeling and data analysis skills. The curriculum emphasizes practical applications of statistics, allowing students to engage with industry-standard software such as R, Python, and SAS. The program requires a total of 30 credits, with 15 credits dedicated to core courses that cover essential topics like probability theory, regression methods, and analysis of variance. Students can also choose from a variety of elective courses to tailor their learning experience. The program is fully online, providing flexibility for working professionals, and can be completed at a pace that suits individual schedules, typically within two to five years. Graduates are well-prepared for careers in data science, business analytics, and statistical consulting, among other fields.

University
Penn State University
University Location
USA (Online)
Program Duration
2.0 years
Ranking
#90
Part-time allowed
Yes

Required Courses
  • STAT 414 - Introduction to Probability Theory
  • STAT 415 - Introduction to Mathematical Statistics
  • STAT 501 - Regression Methods
  • STAT 502 - Analysis of Variance and Design of Experiments
  • STAT 580 - Statistical Consulting Practicum I
  • STAT 581 - Statistical Consulting Practicum II
Elective Courses
  • STAT 464 - Applied Nonparametric Statistics
  • STAT 480 - Introduction to SAS
  • STAT 481 - Intermediate SAS for Data Management
  • STAT 482 - Advanced Statistical Procedures in SAS
  • STAT 483 - Statistical Analysis System Programming
  • STAT 484 - The R Statistical Programming Language
  • STAT 485 - Intermediate R Statistical Programming Language
  • STAT 487 - Introduction to Statistical Analysis with Python
  • STAT 500 - Applied Statistics
  • STAT 503 - Design of Experiments
  • STAT 504 - Analysis of Discrete Data
  • STAT 505 - Applied Multivariate Statistical Analysis
  • STAT 506 - Sampling Theory and Methods
  • STAT 507 - Epidemiologic Research Methods
  • STAT 508 - Applied Data Mining and Statistical Learning
  • STAT 509 - Design and Analysis of Clinical Trials
  • STAT 510 - Applied Time Series Analysis
  • STAT 555 - Statistical Analysis of Genomics Data