Program Overview

Data Science, Analytics and Engineering (Computing and Decision Analytics), MS

Program Description

The Data Science, Analytics and Engineering (Computing and Decision Analytics) program is designed to provide students with advanced education in high-demand data science and computing and industrial engineering. The program focuses on probability and statistics, machine learning, data mining, and data engineering, complemented by computing and industrial engineering-specific courses.

At a Glance

• College/school: Ira A. Fulton Schools of Engineering
• Location: Tempe
• STEM-OPT extension eligible: Yes

Accelerated Program Options

This program allows students to obtain both a bachelor's and a master's degree in as little as five years. Accelerated bachelor's plus master's degree programs are designed for high-achieving students who want the opportunity to share undergraduate coursework with graduate coursework to accelerate completion of their master's degree.

Degree Requirements

• 30 credit hours and a thesis, or
• 30 credit hours including the required capstone course (FSE 570)
• Required Core (9 credit hours):
  • DSE 501 Statistics for Data Analysts (3)
  • EEE 554 Probability and Random Processes (3)
  • HSE 530 Intermediate Statistics for Human Systems Engineering (3) or STP 501 Theory of Statistics I: Distribution Theory (3)
• Concentration (12 credit hours):
  • Complete one course for 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)

Admission Requirements

• General university admission requirements:
  • U.S. applicants
  • International applicants
  • English proficiency
• Applicants must 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.
• Minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program, or in an applicable master's degree program.
• Required application materials:
  • Graduate admission application and application fee
  • Official transcripts
  • Written statement
  • Professional resume
  • Proof of English proficiency

Tuition Information

When it comes to paying for higher education, everyone’s situation is different. Students can learn about ASU tuition and financial aid options to find out which will work best for them.

Application Deadlines

• Fall:
  • Session A/C: In Person, 12/31, Priority
• Spring:
  • Session A/C: In Person, 07/31, Priority

Career Opportunities

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

Additional Information

The program may be eligible for an Optional Practical Training extension for up to 24 months, which can help international students gain skills and experience in the U.S. The OPT extension only applies to students on an F-1 visa and does not apply to students completing a degree through ASU Online.