MS in Data Science

The Data Science program, jointly offered by Computer and Information Science in Engineering and Mathematics in Arts & Sciences, will provide graduate students with advanced education and training in the rapidly emerging fields of data analytics and discovery informatics, which integrates mathematics and computer science for the quantification and manipulation of information from a cognate area of application (e.g., science, engineering, business, sociology, healthcare, planning). Emphasis is placed on merging strong foundations in information theory, mathematics, and computer science with current methodologies and tools to enable data-driven discovery, problem-solving, and decision-making.

This program is designed for professionals and organizational leaders who want to take on greater IT responsibilities and for people who want to transition into a career that uses computer information science to support decision making. This program will appeal to students who want to learn technological and analysis tools used by leading science, engineering, business, academic, government, and social organizations. Further, this program is designed to accommodate individuals with career or undergraduate degrees in business, engineering, computer science, physical/life/social sciences, mathematics, liberal arts, and education who desire to enhance their data analytics and information science skills and credentials.

Program Steering Committee

Zheng (Leslie) Chen (Math)
Alfa Heryudono (Math)
Amir Akhavan Masoumi (Computer Science
Ashok Patel (Computer Science)
Yuchou Chang (Computer Science)
Vijay Varma (Math)
Haiping Xu (Computer Science)
Dr. Donghui Yan (Math)

Faculty and Fields of Interest

Amir Akhavan Masoumi, BS 2004 Urmia Azad University, MS 2009 University of Science Malaysia, PhD 2015 University of Science Malaysia, Information Security, Complex Systems Science, Data Visualization, Cognitive Load Analysis

Ramprasad Balasubramanian, MS 1991 University of Toledo, MS 1993 University of Kentucky, PhD 1999 University of South Florida, Autonomous Mobile Robotics, Computer Vision, Pattern Recognition, Artificial Intelligence

Yuchou Chang, BE 2003 Northwestern Polytechnical University, ME 2006 Shanghai Jiao Tong University, PhD 2012 University of Wisconsin, Biomedical Imaging, Intelligent Robotics, Distributed Data Analytics, Brain-computer Interface

Yanlai Chen, BS 2002 University of Science & Technology of China, MS 2007, PhD 2007 University of Minnesota Twin Cities, Numerical Analysis, Scientific Computing, Reduced Order Modeling, Uncertainty Quantification, Fractional-order Partial Differential Equations, Data Mining, Machine Learning, Applied Statistics

Zheng Chen, PhD 2014 Brown University, Numerical Analysis, Scientific Computing, High-order Numerical Methods, Fractional Partial Differential Equations, Post-processing Techniques, Uncertainty Quantification, Applied Statistics

Gary Davis, BSc 1968, PhD 1971 Monash University, Memory Systems in Mathematics, Mathematics Education, Statistics and Data Science Education, Analytic Combinatorics, Text Mining, Computational Linguistics, Applied Statistics

Bo Dong, BS 2002 University of Science & Technology of China, PhD 2007 University of Minnesota, Numerical Analysis, Scientific Computing, Discontinuous Galerkin Finite Element Methods, Data Science, Applied Statistics

Hua Julia Fang, BA 1998 Sichuan International Studies University, MA 2006 Ohio University, PhD 2006 Ohio University, Machine Learning, Pattern Recognition, Computational Statistics, Wireless Health

Scott E Field, PhD 2011 Brown University, Gravitational Wave Data Science, Discontinuous Galerkin Methods, Scientific Computation, Computational General Relativity, Numerical Analysis, Applied Statistics

Sigal Gottlieb, ScB 1993, ScM 1995, PhD 1998 Brown University, Numerical Analysis, Scientific Computing, Strong Stability Preserving Methods, Weighted Essentially Non-oscillatory Methods, Data Science, Applied Statistics

Alfa Heryudono, BS 2000 University of Indonesia, MS 2002 Southern Illinois University, PhD 2008 University of Delaware, Radial Basis Functions, Spectral and Pseudospectral Methods, Numerical Conformal Mapping, Tear Film Dynamics, Industrial Mathematics, Numerical Partial Differential Equations, Data Science, Applied Statistics

Firas Khatib, BA 2001 University of California, Berkeley, PhD 2008 University of California, Santa Cruz, Bioinformatics/Computational Biology, Protein Structure Prediction, Citizen Science

Saeja O. Kim (Chairperson), BS 1975 Seoul National University, MS 1985 Brown University, PhD 1988 University of Illinois at Urbana-Champaign, Computational Algebra, Discrete Mathematics, Edge Detection, Applied Mathematics, Topological Data Analysis, Mathematics Education, Data Science, Applied Statistics

Ashokkumar Patel, MS 1989 Gujarat University, MS 2013 Georgia Southwestern State University, PhD 2002 North Gujarat University, Big Data Security, Cloud Security, Machine Learning for Digital Forensics, Biometrics-based Secure Access and Trustworthy Cyber Space

Iren T Valova, BS 1991 Technical University, Sofia, Bulgaria, MS 1993 Technical University, Sofia, Bulgaria, PhD 1997 Tokyo Institute of Technology, Artificial Intelligence, Neural Networks, Pattern Recognition

Vijay Varma, PhD 2019 Caltech, Gravitational Wave Astronomy, Numerical Relativity, Data Driven Modeling, Black Hole Astrophysics

Donghui Yan (Co-Program Director of Data Science Interdisciplinary Program), BS and MS 1994 Shanghai Jiao Tong University, PhD 2008 University of California Berkeley, Statistics, Machine Learning, Data Mining, Distributed Inference and Learning, Imaging and Computer Vision, Deep Learning, Data Science, Applied Statistics

Cheng Wang, BS Temple University, PhD University of Science and Technology China, Numerical Analysis, Numerical Partial Differential Equations, Data Science, Applied Statistics

Haiping Xu (Chairperson), BS 1989 Zhejiang University, MS 1992 Zhejiang University, MS 1998 Wright State University, PhD 2003 University of Illinois Chicago, Software Engineering, Distributed Computing, Machine Learning, Cloud Computing, Cybersecurity, Software Reliability