Master of Science in Statistics
- Fall January 10
- Spring July 1
- Pullman: Yes
- 650 GRE (Quantitative) Minimum score
- 400 GRE (Verbal) Minimum score
- 550 TOEFL Minimum score
- 80 TOEFLI Minimum score
Degree Description:
The degree program has two option areas: applied and theoretical. Courses are chosen from four field areas: *Advanced Theory and Stochastic Processes, *Linear Models and Multivariate Analysis, *Data Analysis, *and Econometrics and Time Series. For both options, the core requirements include Stat 443, 512, 530, 533, 556, at least one course in statistical computing, and a minimum of two credit hours of statistical consulting (Stat 590) spread over two semesters. The remainder of the 30 hours must include a total of at least 3 courses from 2 field areas, chosen from the following: *Advanced Theory and Stochastic Processes: Stat 542, 544, 548, or 549. *Linear Models and Multivariate Analysis: Stat 519, 520, 535. *Data Analysis: Stat 422, 428, 513, 514, 515, 518, 536, 547, 555, 572, or 573. *Econometrics and Time Series: Stat 516, 531, 552, 555, or 586. The final Master’s oral exam is a two-hour oral exam conducted by the student’s M.S. committee. The oral exam will consist of (i) a 30-minute presentation of the student’s Master’s project, (ii) a 15-minute period following the Master’s project presentation for questions by the committee related to the results contained in the Master’s project, and, (iii) a 75-minute period devoted to a comprehensive oral exam covering the material in Stat 443, Stat 512, Stat 530, Stat 533, Stat 556 as well as material covered in additional course work. The student is expected to be thoroughly familiar with a wide array of statistical concepts as contained in the list of topics and concepts obtained from the department.
Admission Requirements:
TOEFL score is waived if student has studied at an English speaking University or College for two years. Prerequisites for Admission Math 171, 172, and 273 (Calculus I, II, and III) 3 semesters Math 220 (Linear Algebra) 1 semester At least one 3-credit course in computer programming Statistical Methods 3 credits Recommended Prerequisites Math 401/402 (Analysis I and II) 2 semesters Math 420 (Linear Algebra II) 1 semester
Student Learning Outcome:
All graduates will be able to:
- Problem solving skills: Students are expected to learn the fundamental tools of statistical modeling and implementation. Skills for identifying and solving statistical problems arising in various interdisciplinary areas is an important expected learning outcome associated with this degree.
- Ability to work individually or in groups: Statistical modeling can be pursued at an individual level or as part of a group effort with the group comprised of experts in various allied fields.
- The students are expected to develop such skills so that modeling and analysis gets done in a timely and efficient manner.
- Communication skills: Good communication skills are expected so that students can present in an effective manner the interpretation, as well as implications of the results obtained from a statistical model and its analysis.
Career Opportunities:
Opportunities for individuals trained in statistics abound in business, industry, government and academia.
Career Placements:
pharmacy, banking, credit card companies, consulting, government agencies
Faculty Members:
(Bennethum), Lynn Schreyer
Serves as: chair, co-chair, or member on graduate committee
Asaki, Thomas James, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Mathematical modeling, mathematical biology, numerical partial differential equations, computational biofluids.
Chen, Xiongzhi
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Simultaneous inference (including variable/model selection and multiple comparison) with applications in biology and pharmaceutical science
Latent variable models for high-dimensional data with applications in genomics and signal processing
Analysis of non-Euclidean data (such as networks, shapes, images and tensors)
Spectra of random matrices (including those of sample auto-correlation/auto-covariance matrices) with applications to inference on high-dimensional data
Statistical inference on stochastic differential equations (including those driven by fractional Brownian motions) with applications in finance, biology and geology
Cooper, Kevin Dale, Ph.D.
Serves as: co-chair on graduate committee
Cooper, Sandra Clement, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Dasgupta, Nairanjana, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Non-parametric Statistics, Multiple Comparisons, Comparison to Control, Logistic Distribution, Optimal Designs, Design of Experiments, Innovative Methods of Teaching Statistics, The history of statistics.
Dimitrov, Alexander, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Information-theoretic and probabilistic approaches to neural computing and cognitive processes, non-linear neuronal models, chaotic dynamical systems, non-linear signal processing and prediction, systems identification, neural-based intelligent agents. Bioinspired engineering.
Dong, Hongbo, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Mathematical Optimization/Programming, Convex Conic Optimization and Copositive Programming, Mixed Integer Nonlinear Programming, Optimization Modeling.
Evans, Marc Alexander, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Estimation for multiple recapture models having heterogeneous captures, and inference for binary and multinomial responses from designed experiments with randomization restrictions.
Genz, Alan C, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
numerical computation of multiple integrals. These integrals arise in a wide variety application areas that include electromagnetics, chemistry, physics and statistics. I have developed and implemented many different types of algorithms for the computation of multiple integrals. I am also interested in related problems in multivariate approximation theory.
Hall, William
Serves as: chair, co-chair, or member on graduate committee
Hudelson, Matthew G, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Jacroux, Michael A, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Experimental Design
Linear Models
Spatial Data
Jandhyala, Venkata Krishna, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Change-point problems for statistical models and their applications, Quality control, Environmental monitoring, Econometrics.
Johnson, Dean, Ph.D.
Serves as: co-chair or member on graduate committee
Research Interests
Educational statistics.
Teaching of statistics.
Statistical consulting.
Item response theory.
Kaul, Abhishek
Serves as: chair, co-chair, or member on graduate committee
Khapalov, Alexander, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Knott, Libby, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
K-16 mathematics education and professional development.
Krishnamoorthy, Bala, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Computational topology and geometry, linear and integer optimization, computational biology, biomedical informatics.
Lapin, Sergey, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Numerical modeling of wave phenomena, numerical simulation of fluid flow, infectious diseases modeling.
Li, Haijun, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Probability, Stochastic Processes, Risk Analysis.
Liu, Sheng-Chi, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Number theory, automorphic forms and representation theory.
Manoranjan, Valipuram S, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Contaminant transport in groundwater, transdermal drug delivery, models for tumor growth and disease dynamics.
McDonald, Judith, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Moore, Charles, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
New, Leslie, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Panchenko, Alexander, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Network approximation for effective parameters of concentrated suspensions, homogenization of unconsolidated composites and media with moving interfaces, modeling of osteoporosis and blood circulation, and inverse conductivity problem with rough conductivities.
Pascual, Francis, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Engineering Reliability, Failure-Time Models and Data Analysis, Robust Designs in Accelerated Life Tests.
Schumaker, Mark F, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Schwartz, Elissa, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
– Experimental and theoretical techniques to investigate mechanisms in virology, immunology, and infectious disease epidemiology
– Control of lentiviral infection, including human immunodeficiency virus (HIV) and equine infectious anemia virus (EIAV).
– Mathematical and computational models of viral dynamics with clinical and experimental data to elucidate the determinants of virus control and escape.
Slavit, David, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Teacher development, particularly in collaborative professional contexts, teacher understanding and instruction STEM schools, the ways in which K-12 students develop understandings of algebraic ideas, particularly mathematical functions, and educational technology.
Sottile, Matthew
Serves as: member only on graduate committee
Tosic, Predrag, Ph.D.
Serves as: co-chair or member on graduate committee
Research Interests
Data science, machine learning, intelligent agents, large-scale data mining and AI, yber-physical systems, distributed coordination and control, large-scale complex networks, mathematical models and algorithms for smart energy and other grids
Tsatsomeros, Michael, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Vincent, Kimberly McGinley, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Collegiate and pre-service mathematics education.
Vixie, Kevin, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Geometric analysis and geometric measure theory, geometry and analysis in high dimensions, and data science. Examples include data driven advances in geometric measure theory, image analysis, regularity of minimizers, geometric analysis in metric measure spaces and graphs
Voulgarakis, Nikolaos, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Nanoscale modeling and simulation of soft biological systems and complex fluids. Applications areas: a) gene and drug delivery, b) cell membrane dynamics, and c) energy transfer in biomolecules.
Wang, Xueying, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Mathematical Biology
Wang, Yuan, Ph.D.
Serves as: chair, co-chair, or member on graduate committee
Research Interests
Statistical learning of complex data objects including tree, curves and images
Bayesian variable selection
Adaptive clinical trial design
Compressive sensing and system design