MS Data Science, Analytics and Engineering (Computing and Decision Analytics) at Arizona State University

Programme overview

Data scientist is consistently ranked among the top jobs in the U.S., and there is an increasing need for all engineers to make use of data science tools such as statistics, machine learning, artificial neural networks and artificial intelligence. Yet the majority of engineering occupations require subject matter expertise beyond data science.

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 (12 credit hours) Students complete one course in each of the following areas: data analysis (3) data assurance and security (3) machine learning (3) optimization (3) Electives (3 or 6 credit hours) Culminating Experience (3 or 6 credit hours) CSE, IEE or SER 599 Thesis (6) FSE 570 Data Science Capstone (3) Additional Curriculum Information Students should consult the academic unit for a list of approved electives and concentration course requirements.

Career pathways

Computing and industrial engineers with a background in data science can pursue opportunities in a variety of fields to manage and analyze data, and extract knowledge from large data sets for decision-making, including in the following industries: consulting data and analytics management data engineering information systems manufacturing

Official programme page

Application information

Entry requirements

Applicants must fulfill the requirements of both the Graduate College and the Ira A. Fulton Schools of Engineering. Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in computing, engineering, mathematics, statistics, operations research, information technology or a related field from a regionally accredited institution. Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.

Domestic applicants: USD 13,327 a year (2026-27). Arizona resident tuition. Tuition only for the graduate on-campus (Tempe/Downtown Phoenix/Polytechnic/West Valley) rate band in the ASU tuition estimator, 2026-27: Fall 2026 plus Spring 2027 term tuition summed (full-time flat rate; part-time credit loads Source

International applicants: USD 24,780 a year (2026-27). International tuition. Tuition only for the graduate on-campus (Tempe/Downtown Phoenix/Polytechnic/West Valley) rate band in the ASU tuition estimator, 2026-27: Fall 2026 plus Spring 2027 term tuition summed (full-time flat rate; part-time credit loads ar Source

Entry terms: Fall, Spring and Summer; the terms available for each programme are listed in Degree Search.

Graduate application deadlines are set by each programme office and listed in Degree Search; the application opens almost a year before the start term. The nonrefundable application fee is $75 for U.S. citizens, permanent residents, DACA and international online students outside the U.S., and $120 for international students on a nonimmigrant visa studying in the U.S. Apply with ASU's graduate application (Law applicants use the law college's site); GRE/GMAT requirements vary by programme.

Apply through the official page: https://admission.asu.edu/apply/graduate/admission

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