Overview
The Engineering Data Science programme at the University of Houston provides a comprehensive graduate curriculum focused on the intersection of advanced computing and engineering innovation. This Master of Science degree prepares students to lead in a data-centric workforce by mastering predictive modelling and data-driven design. Students can choose between a research-focused thesis track or a course-based non-thesis option to suit their career goals.
Why Engineering Data Science at University of Houston?
The University of Houston is situated in the energy capital of the world and near a thriving healthcare hub, providing a unique environment for engineering data science applications. The Cullen College of Engineering offers state-of-the-art training through its Research Computing centre, ensuring students gain expertise relevant to industries like manufacturing, autonomous systems, and cybersecurity. As a STEM-designated programme, international students may also benefit from the 24-month STEM OPT extension for temporary training in the United States.
Tuition Fee Breakdown
- International fee: USD 1084 per credit
- National fee: USD 1084 per credit
- Local fee: USD 579 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum consists of 30 credit hours divided into core requirements, prescribed electives, and specialised tracks. Modules may include:
- Probability and Statistics
- Data Science
- Machine Learning
- Applied Neural Networks
- Deep Learning for Engineers
- Digital Signal Processing
- Database Management Tools
- AI for Engineers
- Information Visualization
Students can further specialise their degree by selecting a specific track, such as:
- Manufacturing
- Cybersecurity
- Health
- Robotics
Careers with Engineering Data Science
Graduates are prepared for high-demand roles across diverse global industries that rely on data-driven decision-making. The programme targets sectors such as health sciences, environmental sciences, and materials science. In the local Houston market, there is a persistent demand for specialists in the energy and healthcare sectors. Potential career paths include roles in manufacturing, autonomous vehicle development, image processing, and cybersecurity, where predictive modelling and AI are essential for modern engineering solutions.
Programme Structure
Courses include:
- Stochastic Processes in Signal Processing and Data Science
- Digital Signal Process
- Machine Learning & Computational Vision
- Engineering Analytics
- Advanced Linear Optimization
- Machine Learning
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Houston, United States
Disciplines
General Engineering & Technology Data Science & Big Data View 705 other Masters in General Engineering & Technology in United StatesWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A four-year bachelor's degree in engineering or engineering related fields, or computer science and data science and statistics is required in order to apply for the Engineering Data Science program.
- Students must have an overall GPA of 3.0 or higher in order to graduate with a MS degree in Engineering Data Science
Tuition Fees
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International Applies to you
Applies to youNon-residents32520 USD / year≈ 32520 USD / year - Out-of-State32520 USD / year≈ 32520 USD / year
-
Domestic
Applies to youIn-State17370 USD / year≈ 17370 USD / year
Living costs
Houston
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- 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 Engineering Data Science.
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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