Overview
The M.Sc. in Data Science, Analytics and Engineering (Computing and Decision Analytics) at Arizona State University equips students with essential skills for navigating the modern data-driven landscape. This programme is designed to meet the increasing demand for data science professionals, integrating advanced concepts in computing and industrial engineering. Students will delve into critical areas such as statistics, machine learning, and data mining, ensuring they are well-prepared for the challenges of today's job market.
Why Data Science, Analytics and Engineering at Arizona State University?Arizona State University is renowned for its innovative approach to education and research. The Ira A. Fulton Schools of Engineering, which houses this programme, consistently ranks among the top engineering schools in the United States. The university fosters strong partnerships with industry leaders, providing students with access to cutting-edge facilities and resources. This combination of academic excellence and practical experience positions graduates for success in a competitive job market.
Tuition Fee BreakdownThe tuition fees for the M.Sc. in Data Science, Analytics and Engineering (Computing and Decision Analytics) are 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 this programme encompasses a comprehensive range of topics designed to build a robust foundation in data science and engineering. Key components include:
- Core Courses (9 credit hours):
- Statistics for Data Analysts
- Probability and Random Processes
- Intermediate Statistics for Human Systems Engineering
- Data Processing at Scale
- Distributed Database Systems
- Advanced Database Management Systems
- Concentration (12 credit hours):
- Data Analysis
- Data Assurance and Security
- Machine Learning
- Optimisation
- Electives (3 or 6 credit hours)
- Culminating Experience (3 or 6 credit hours):
- Thesis
- Data Science Capstone
Students are encouraged to consult with academic advisors to tailor their course selections according to their career aspirations and interests.
Careers with Data Science, Analytics and EngineeringGraduates of the M.Sc. programme are well-positioned to pursue a variety of career opportunities across multiple industries. Common sectors include:
- Consulting
- Data and Analytics Management
- Data Engineering
- Information Systems
- Manufacturing
Alumni have successfully secured positions in leading companies, leveraging their expertise to drive data-informed 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 470 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
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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
-
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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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science, Analytics and Engineering (Computing and Decision Analytics).
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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