Graduate Catalog
2021-2022
 
Policies, Procedures, Academic Programs
Data Analysis and Applied Statistics
College of Science
Academics and agricultural administration; completed February 1940. Cost $206,000; 39,280 sq. ft, Originally known as New Agricultural Hall. Named after Thomas Barksdale Hutcheson (1882-1950) was Head of the Department of Agronomy from 1914 to 1945 and Dean of the School of Agriculture from 1946 to 1950. He lived in the dairy barn at Virginia Agricultural and Mechanical College and Polytechnic Institute (Virginia Tech), working his way through college by milking cows.
Hutcheson Hall
Degree(s) Offered:
• MA
MA Degree in Data Analysis and Applied Statistics
Minimum GPA: 3.0
Offered In:
National Capital Region
Blacksburg
Web Resource(s):
Phone Number(s):
540/231-5630
571/858-3122
Application Deadlines:
Fall: Jan 15
Spring: Sep 21
Directions
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Department Head : David Higdon
Graduate Program Director(s) : Eric Smith (Graduate Program Director), Thomas Woteki (NCR Graduate Program Director)
Professors: Ronald Fricker; Robert Gramacy; Feng Guo; David Higdon; Ina Hoeschele; Yili Hong; John Morgan; Eric Smith; Gordon Vining
Associate Professors: Xinwei Deng; Pang Du; Marco Ferreira; Leanna House; Leah Johnson; Inyoung Kim; Scott Leman; George Terrell; Xiaowei Wu; Hongxiao Zhu
Assistant Professors: Christopher Franck; Shyam Ranganathan; Srijan Sengupta
Associate Professor of Practice: Jennifer Van Mullekom
Research Assistant Professors: Allison Tegge
Collegiate Associate Professors: Anne Driscoll
Professor of Practice: Thomas Woteki (Northern Virginia)

Master of Arts in Data Analysis and Applied Statistics

Virginia Tech’s Department of Statistics offers the Master of Arts in Data Analysis and Applied Statistics (DAAS) on the Blacksburg and Northern Virginia campuses.

The DAAS curriculum provides a wide variety of applied statistical tools to students, without the emphasis on statistical theory steeped in mathematics. Core courses in the M.A. DAAS program emphasize the fundamentals of statistics. Students are then free to choose from a plan of electives in specialized topics in statistics. Thus, the degree offers sufficient depth in the fundamentals of contemporary applied statistical methods and gives students an understanding of how they are applied in different fields.

At our Blacksburg campus, the M.A. DAAS degree is a simultaneous degree. Current Virginia Tech master's and/or Ph.D. students in another discipline, who desire to complement their training with the M.A. DAAS degree, are eligible to apply to the degree. The applied statistics emphasis of the M.A. DAAS will empower students to perform more statistically sophisticated research, improving the quality of their theses/dissertations, and leading to papers published in higher-level journals than would be possible without such courses.

As part of our offerings in Blacksburg, this degree is co-sponsored by several other programs and departments.  The co-sponsoring programs include the Education Research and Evaluation Program (EDRE) and the Genetics, Bioinformatics, and Computational Biology program and the co-sponsoring departments include the Departments of Agricultural and Applied Economics, Psychology, Fish and Wildlife Conservation, Forest Resources and Environmental Conservation, Geography, Economics, Human Development, Sociology, and Biological Sciences. 

The M.A. DAAS program is also offered at our Northern Virginia Campus as a part-time professional masters.  The curriculum offers students a strong foundation in statistics and analytics so that they begin to extract meaningful insights from large data sets and harness their potential.  The program is suited to all students, with particularly the working student in mind.  Consequently, our semesters are a blend of an in-person class that is taught one evening per week and one online course.

Offered In (National Capital Region, Blacksburg)

Degree Requirements

Minimum GPA: 3.0
Institution code: 5859
Testing Requirements:
 The Master of Arts in Data Analysis and Applied Statistics degree comprises 30 credits, distributed among applied statistics and analytical courses from a variety of departments. The core program will consist of courses comprising 18 credit hours in applied statistics, regression methods, design of experiments, basic professional development in communication and collaboration, and a final project and examination required of all students. The remaining 12 credit hours are from electives from the Department of Statistics and/or other departments.

The core curriculum consists of 18 credit hours in courses from the Statistics department:
  • STAT 5024: Communication in Statistical Collaborations (3 cr)
  • STAT 5204G: Experimental Design: Concepts and Applications (3 cr)
  • STAT 5214G: Advanced Methods of Regression Analysis (3 cr)
  • STAT 5615/5616: Statistics in Research I and II (6 cr)
  • STAT 5904: Project and Report (3 cr)

Computing facilities

The Blacksburg department has several laboratories housing state-of-the-art Linux and PC networks. Students have access to these for collaboration, course work, and research. Students gain extensive experience with modern statistical software for experimental design, data management and analysis, and computer programming for statistical purposes.

Department of Statistics

The Department of Statistics at the Blacksburg campus has several laboratories housing state-of-the-art Linux and PC networks. Students have access to these for collaboration, course work, and research. Students gain extensive experience with modern statistical software for experimental design, data management and analysis, and computer programming for statistical purposes.

The Falls Church campus has an available library and study area and is conveniently located near the West Falls Falls Church metro station and I-66. Parking is available to students. 
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