Overview
This comprehensive programme prepares graduates for the dynamic field of data science, integrating advanced concepts of electrical engineering. The curriculum focuses on high-demand areas such as big data, data analytics, and machine learning, ensuring that students acquire the necessary expertise to excel in today's data-driven economy. With the increasing reliance on data across various sectors, the demand for professionals skilled in both data science and electrical engineering continues to rise.
Why Data Science, Analytics and Engineering (Electrical Engineering) at Arizona State University?Arizona State University (ASU) is renowned for its innovative educational approach and strong emphasis on research. The Ira A. Fulton Schools of Engineering consistently rank among the top engineering schools in the United States, providing students with access to cutting-edge facilities and resources. ASU’s partnerships with industry leaders ensure that students engage in real-world projects, enhancing their learning experience and employability.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Data Science, Analytics and Engineering (Electrical Engineering) are as follows:
- National Students: USD 26,496 per year
- International Students: USD 28,890 per year
- Local Students: USD 12,562 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe programme comprises a total of 30 credit hours, which includes core courses, concentration electives, and a culminating experience. Key components of the syllabus include:
- Statistics for Data Analysts
- Probability and Random Processes
- Data Processing at Scale
- Distributed Database Systems
- Data Mining
- Statistical Machine Learning
- Digital Spectral Analysis
- Digital Image and Video Processing
- Machine Vision and Pattern Recognition
- Deep Learning: Foundations and Applications
Students are encouraged to consult with academic advisors to tailor their elective courses to align with their career aspirations and interests.
Careers with Data Science, Analytics and Engineering (Electrical Engineering)Graduates of this programme are well-equipped to pursue a variety of career paths in sectors such as circuit design, energy and power systems, semiconductor fabrication, signal processing, and telecommunications. The unique combination of data science and electrical engineering expertise positions alumni for success in roles that require both analytical and technical skills, making them highly sought after in the job market.
Programme Structure
Courses include:
- Database Management System Implementation
- Distributed Database Systems
- Data Mining
- Statistical Learning for Data Mining
- Multimedia and Web Databases
- Statistical Machine Learning
- Data Visualization
- Semantic Web Mining
- Virtualization and Cloud Computing
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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Priority deadlines.
Language
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Credits
Delivered
Campus Location
- Tempe, United States
Disciplines
Electrical Engineering General Engineering & Technology Data Science & Big Data View 714 other Masters in General Engineering & Technology in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree from a regionally accredited institution.
- Applicants must have a minimum cumulative GPA of 3.25 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program, or applicants must have a minimum cumulative GPA of 3.25 (scale is 4.00 = "A") in an applicable master's degree program.
All applicants must submit:
- graduate admission application and application fee
- official transcripts
- official GRE test scores
- three letters of recommendation
- statement of purpose
- proof of English proficiency
Tuition Fees
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International Applies to you
Applies to youNon-residents30348 USD / year≈ 30348 USD / year - Out-of-State27810 USD / year≈ 27810 USD / year
-
Domestic
Applies to youIn-State12940 USD / year≈ 12940 USD / year
Living costs
Tempe
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science, Analytics and Engineering (Electrical Engineering).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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