Overview
The Data Science and Engineering - Data Science Option at Auburn University offers a rigorous academic pathway for those seeking to master the complexities of modern data analysis. This interdisciplinary programme combines theoretical foundations with practical applications to prepare graduates for high-level roles in industry and government.
Why Data Science and Engineering - Data Science Option at Auburn University?
Choosing this programme means studying at a leading R1 research university known for its high-ranking academic offerings. The curriculum is uniquely delivered through a partnership between the College of Sciences and Mathematics and the Samuel Ginn College of Engineering, ensuring a balanced educational approach.
Students benefit from a curriculum that spans the entire technical spectrum, from fundamental mathematical principles to hands-on engineering applications. A distinctive feature of the programme is the required capstone project, which allows students to collaborate with industry leaders on real-world challenges.
The university provides access to state-of-the-art technologies and facilities dedicated to the next generation of big data applications. This collaborative environment fosters innovation and ensures that students are well-versed in the latest tools used by consultants, scientists, and policy-makers globally.
Tuition Fee Breakdown
- International fee: USD 17993 per semester
- National fee: USD 17993 per semester
- Local fee: USD 6653 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum blends graduate-level coursework with practical experiences to build a robust technical foundation. Modules may include:
- Data Mining
- Machine Learning
- Statistical Learning
- Big Data Applications
Careers with Data Science and Engineering - Data Science Option
Graduates are prepared for the rapidly expanding global job market, where data-centric roles continue to see significant growth. The programme equips students with the skills necessary to pursue diverse career paths in both the private and public sectors, focusing on data-driven decision-making.
Common career destinations for graduates include roles as data scientists, consultants, and data engineers. Many alumni find opportunities within government agencies or private corporations, working as policy-makers or research scientists who interpret complex patterns to drive organisational strategy.
The training provided ensures that professionals can effectively communicate big data concepts to non-technical stakeholders. This ability to bridge the gap between technical analysis and business application makes graduates highly sought after in industries ranging from technology and finance to public policy.
Programme Structure
Courses
- Database Systems
- Data Mining
- Machine Learning
- Statistical Learning
- Probability and Statistics
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
International students should submit all materials at least 90 days before the first day of class and domestic students at least 45 days before the first day.
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
- Auburn, United States
Disciplines
Statistics 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
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
- You hold a bachelor's degree in engineering or science from an institution of recognized standing.
- Having a baccalaureate degree in computer science, software engineering, mathematics, statistics or an equivalent discipline, or significant work experience in information technology or applied mathematics and statistics, will be beneficial.
- You have had at least one statistics course at the 3000-level or above.
- You have knowledge of at least one modern programming language.
- Your GRE general exam (data science option only; not required for data engineering option)
- Data Engineering Option applicants will be evaluated by the graduate committee of the Department of Computer Science and Software Engineering; Data Science Option applicants will be assessed by the graduate committee of the Department of Mathematics and Statistics.
Tuition Fees
-
International Applies to you
Applies to youNon-residents35986 USD / year≈ 35986 USD / year - Out-of-State35986 USD / year≈ 35986 USD / year
-
Domestic
Applies to youIn-State13306 USD / year≈ 13306 USD / year
Living costs
Auburn
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 Data Science and Engineering - Data Science Option.
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