Overview
The Master of Science programme in Data Science, Analytics and Engineering (Computational Models and Data) at Arizona State University (ASU) is designed to equip students with critical skills in the rapidly evolving field of data science. This programme focuses on the integration of algorithms and mathematical principles, particularly in machine learning and deep learning, which are essential for success in today’s data-driven economy. With a growing demand for data scientists, this programme prepares graduates for high-demand roles in various sectors.
Why Data Science, Analytics and Engineering at Arizona State University?ASU is renowned for its strong academic reputation and is consistently ranked among the top universities in the United States. The Ira A. Fulton Schools of Engineering, where this programme is housed, offers state-of-the-art facilities and resources, ensuring that students have access to the latest technology and research opportunities. Additionally, ASU has established partnerships with industry leaders, providing students with unique opportunities for internships and real-world experience.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Data Science, Analytics and Engineering (Computational Models and Data) are structured as follows:
- International Students: USD 28,890 per year
- Domestic Students: USD 26,496 per year
- Local Students: USD 12,562 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the Master of Science in Data Science, Analytics and Engineering includes a comprehensive range of courses designed to provide students with a robust understanding of both theoretical and practical aspects of data science. Key components of the syllabus include:
- Statistics for Data Analysts
- Data Processing at Scale
- Statistical Machine Learning
- Applied Linear Algebra
- Applied Regression Analysis
- Data Science Capstone or Thesis
This structured approach ensures that students are well-prepared to tackle complex data challenges across various industries.
Careers with Data Science, Analytics and EngineeringGraduates of the Master of Science in Data Science, Analytics and Engineering (Computational Models and Data) programme are well-positioned to pursue careers in numerous fields. Alumni have found success in industries such as healthcare, finance, energy, and technology. Specific roles include data analyst, machine learning engineer, and applied mathematician. Graduates often work with leading organisations, including government agencies and private sector companies, leveraging their expertise to analyse and interpret large datasets to drive decision-making processes.
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
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
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- 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
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- 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 (Computational Models and Data).
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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