MS Data Science, Analytics and Engineering (Computational Mathematics and Data) at Arizona State University

Data scientist is consistently ranked among the top jobs in the U.S., and there's an increasing need for applied mathematicians to make use of data science tools such as statistics, machine learning, artificial neural networks and artificial intelligence. Beyond the application of these tools, the fast-moving field of data science requires an understanding of the mathematical background of the algorithms behind these tools and the mathematical concepts that make these tools useful.

Faculty: Ira A. Fulton Schools of Engineering  |  Department: Electrical Engineering Program  |  Duration: 30 credit hours  |  Study mode: full-time  |  Intake: Fall, Spring  |  Location: Tempe, AZ, United States

What you will study

30 credit hours and a thesis, or 30 credit hours including the required capstone course (FSE 570) Required Core (9 credit hours) Students choose one: DSE 501 Statistics for Data Analysts (3) EEE 554 Probability and Random Processes (3) HSE 530 Intermediate Statistics for Human Systems Engineering (3) STP 501 Theory of Statistics I: Distribution Theory 3 (3) Students choose one: CSE 511 Data Processing at Scale (3) CSE 512 Distributed Database Systems (3) IFT 530 Advanced Database Management Systems (3) Students choose one: CSE 572 Data Mining (3) or DSE 572 Data Mining (3) CSE 575 Statistical Machine Learning (3) EEE 549 Statistical Machine Learning: From Theory to Practice (3) IEE 520 Statistical Learning for Data Mining (3) IFT 511 Analyzing Big Data (3) MAE 551 Applied Machine Learning for Mechanical Engineers (3) STP 550 Statistical Machine Learning (3) Concentration (9 credit hours) APM 505 Applied Linear Algebra (3) STP 530 Applied Regression Analysis (3) Choose one: APM 523 Optimization (3) EEE 589 Convex Optimization (3) IEE 620 Optimization I (3) STP 502 Theory of Statistics II: Interface (3) Electives (6 or 9 credit hours) Culminating Experience (3 or 6 credit hours) FSE 570 Data Science Capstone (3) or MAT 599 Thesis (6) Additional Curriculum Information Students should consult the academic unit for a list of approved electives and concentration course requirements.

Career pathways

Applied mathematicians with a background in data science can pursue opportunities in a variety of fields to model, analyze and control dynamical processes that generate large data sets. These professionals are needed in the energy and power systems sector and in pharmaceutical, semiconductor and communications industries, among others.

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