Overview
The Master of Science in Data Engineering at the University of North Texas stands out as a premier choice for those aspiring to excel in one of the most rapidly growing sectors in technology. With data engineering jobs projected to increase by 50% annually, this programme offers a robust pathway into a field that is not only in high demand but also critically important for modern businesses.
Why Data Engineering at University of North Texas?UNT is a Carnegie-ranked Tier One public research university, providing students with access to cutting-edge facilities and laboratories. The College of Engineering is renowned for its state-of-the-art instructional resources and top-ranked research labs, which enrich the educational experience. Students benefit from a curriculum designed to meet industry needs, ensuring that graduates are well-prepared to tackle complex data challenges. The university's strong ties with various industries further enhance opportunities for collaboration and real-world application of skills.
Tuition Fee BreakdownThe tuition fees for the Data Engineering programme are as follows:
- International Students: USD 16,080 per year
- National Students: USD 16,080 per year
- Local Students: USD 8,700 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the M.S. in Data Engineering encompasses a variety of core and elective courses aimed at providing a comprehensive understanding of data systems. Key modules include:
- Methods in Empirical Analysis
- Scientific Data Visualization
- Fundamentals of Database Systems
- Distributed and Parallel Database Systems
- Natural Language Processing
- Introduction to Big Data and Data Science
These courses are designed to equip students with both theoretical knowledge and practical skills essential for success in the field.
Careers with Data EngineeringGraduates of the M.S. in Data Engineering programme are well-positioned to enter a variety of roles within the tech industry. The demand for data engineers, data architects, and machine learning engineers is particularly high, with many alumni finding opportunities in sectors such as finance, healthcare, and technology. The skills acquired during the programme enable graduates to build and maintain data pipeline systems, improve data quality, and apply complex data analysis techniques to solve real-world problems.
Programme Structure
Courses:
- Machine Learning
- Pattern Recognition
- Data Mining
- Information Retrieval and Web Search
- Graph Theory
- Machine Learning
- Pattern Recognition
- Methods of Numerical Computations
- Implementation and Practices of Database Systems
- Data Mining
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , National
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- Starting
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- Starting
- Apply before , International
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Language
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Credits
Delivered
Campus Location
- Denton, United States
Disciplines
Data Science & Big Data View 466 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
- Have a 3.0 or higher GPA from a degree program in a STEM discipline.
- Have taken statistics or linear algebra and have prior programming experience using languages like C++, Java, Python, R, or Matlab.
- Supply GRE scores. GRE may be waived for graduates of UNT.
- Provide a resume to reflect experience in data, programming, research, etc. (optional)
Tuition Fees
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International Applies to you
Applies to youNon-residents16404 USD / year≈ 16404 USD / year - Out-of-State16404 USD / year≈ 16404 USD / year
-
Domestic
Applies to youIn-State8700 USD / year≈ 8700 USD / year
Living costs
Denton
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
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Engineering.
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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