Overview
The Master of Science in Computer Science - Big Data Systems at Arizona State University is a distinguished programme that prepares graduates for the rapidly evolving field of data science and analytics. With the increasing reliance on data-driven decision-making across various industries, this degree offers a robust curriculum that emphasises both theoretical knowledge and practical application.
Why Computer Science - Big Data Systems at Arizona State University?Arizona State University is consistently ranked among the top institutions for computer science education. The Ira A. Fulton Schools of Engineering, which houses the School of Computing and Augmented Intelligence, is renowned for its innovative research and state-of-the-art facilities. Students benefit from a collaborative environment that fosters partnerships with industry leaders, providing opportunities for hands-on experience and networking.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Computer Science - Big Data Systems are structured 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 curriculum for the Master of Science in Computer Science - Big Data Systems includes a variety of modules designed to equip students with the necessary skills and knowledge:
- Data Mining and Knowledge Discovery
- Big Data Technologies
- Data Visualisation
- Machine Learning
- Database Systems
- Cloud Computing
- Advanced Programming
- Capstone Project
This diverse syllabus ensures that graduates are well-prepared to tackle complex data challenges in their future careers.
Industry DemandThe demand for professionals skilled in big data analytics is soaring as organisations increasingly rely on data to drive their strategies. Graduates of this programme are well-positioned to enter a variety of sectors, including finance, healthcare, technology, and consulting, where they can apply their expertise to enhance business outcomes.
Careers with Computer Science - Big Data SystemsGraduates of the Master of Science in Computer Science - Big Data Systems have a wide array of career opportunities available to them. Alumni have successfully secured positions in prestigious companies such as Google, Amazon, and IBM, working in roles such as data scientist, data analyst, and big data engineer. The skills acquired through this programme enable graduates to contribute effectively to projects that require advanced analytical capabilities and innovative solutions.
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
-
- Starting
- Apply before
-
Language
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
Credits
Delivered
Campus Location
- Tempe, United States
Disciplines
Computer Sciences Data Science & Big Data View 914 other Masters in Computer Sciences 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
Interested in financing your studies? Find a student loan that works for you.
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
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Computer Science - Big Data Systems.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility