Overview
The Master of Science in Data Science, Analytics and Engineering (Human-Centered Applications) at Arizona State University stands out as a premier programme tailored for those seeking to excel in the field of data science. With a growing demand for professionals skilled in data analytics and engineering, this course provides an invaluable opportunity to develop expertise that bridges the gap between human capabilities and technological advancements.
Why Data Science, Analytics and Engineering (Human-Centered Applications) at Arizona State University?Arizona State University is renowned for its innovative approach to education and its commitment to research. The university consistently ranks among the top institutions in the United States, particularly in engineering and technology. Students benefit from state-of-the-art facilities and resources, ensuring a rich learning environment. Furthermore, the programme fosters partnerships with industry leaders, enhancing career prospects for graduates.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Data Science, Analytics and Engineering (Human-Centered Applications) are as follows:
- Domestic 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 curriculum is designed to provide a comprehensive understanding of data science principles, with a focus on human-centred applications. The programme includes:
- Statistics for Data Analysts
- Probability and Random Processes
- Intermediate Statistics for Human Systems Engineering
- Data Processing at Scale
- Distributed Database Systems
- Data Mining
- Statistical Machine Learning
- Methods and Tools in Applied Cognitive Science
- Data Analytics: Modelling Human Subjects Data
- Foundations of Human Systems Engineering
- Capstone Project or Thesis
This structure ensures that students not only gain technical skills but also understand the ethical implications and human factors involved in data science applications.
Industry DemandThe demand for data science professionals is surging across various sectors, including healthcare, finance, and technology. Graduates of this programme are well-equipped to tackle challenges related to data management and analysis, making them highly sought after in today's job market.
Guaranteed Work ExperienceThis programme includes built-in opportunities for students to engage with real-world data science challenges, allowing them to apply their knowledge in practical settings and gain essential work experience.
Careers with Data Science, Analytics and Engineering (Human-Centered Applications)Graduates of the Master of Science in Data Science, Analytics and Engineering (Human-Centered Applications) can pursue a variety of career paths. Potential roles include:
- Data Scientist
- Clinical Data Manager
- Human Factors Engineer
- Computer and Information Research Scientist
- Statistician
Alumni have successfully secured positions in leading organisations, contributing to projects that require a deep understanding of data science and human systems.
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
- StartingApply anytime.
- StartingApply anytime.
Rolling admission.
Language
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Credits
Delivered
Campus Location
- Tempe, United States
Disciplines
General Engineering & Technology Data Science & Big Data View 469 other Masters in Data Science & Big Data 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
-
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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- 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 (Human-Centered Applications).
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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