MS Applied Statistics and Data Science at Arizona State University

Data science professionals and applied statisticians use sophisticated statistical, computational and mathematical tools to extract patterns from large, complex and often unordered datasets. In the Master of Science program in applied statistics and data science, you prepare to conduct critical analysis in a variety of areas, such as industry, research and government.

Faculty: The College of Liberal Arts and Sciences  |  Department: School of Mathematical and Statistical Sciences  |  Duration: 30 credit hours  |  Study mode: online  |  Intake: Fall, Spring  |  Location: Tempe, AZ, United States

What you will study

30 credit hours including the required capstone course (DAT 597) Required Core (12 credit hours) DAT 502 Machine Learning for Data Science (3) DAT 531 Industry Tools for Data Science (3) STP 530 Applied Regression Analysis (3) STP 531 Applied Analysis of Variance (3) Restricted Electives (9 credit hours) APM 527 Deep Neural Networks (3) DAT 528 Advanced Deep Learning (3) DAT 535 Exploration and Analysis of Environmental Data (3) STP 505 Bayesian Statistics (3) STP 533 Applied Multivariate Analysis (3) STP 551 Time Series Analysis (3) Electives (6 credit hours) Culminating Experience (3 credit hours) DAT 597 Applied Statistics and Data Science Capstone (3) Additional Curriculum Information For elective coursework, students complete six credit hours of additional statistics or data science courses, selected in consultation with the program advisor.

Career pathways

Statistics and data analysis have been identified as two of the most desirable skills in today's job market. Graduates with a master's degree in applied statistics and data science can pursue a broad variety of careers in diverse fields such as business, finance, engineering, technology, education, marketing, government and other areas of the economy.

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