Overview
The M.Sc. in Statistics and Data Science at the University of Houston provides comprehensive training in the statistical analysis of complex data sets and modern data mining techniques. This intensive programme is designed to equip students with the technical expertise and analytical decision-making skills required for high-level professional positions. By blending theoretical concepts with practical computational implementations, the curriculum ensures graduates are prepared for the evolving demands of the global workforce.
Why Statistics and Data Science at the University of Houston?
The programme distinguishes itself by placing statistical thinking at the heart of data science, ensuring students understand the "why" behind the data rather than just the "how" of the tools. Located in a global industry hub, the university offers unparalleled access to diverse sectors including energy, healthcare, and finance. Students benefit from a supportive network of expert faculty and engaged alumni, alongside hands-on experience working with real-world data sets using state-of-the-art computational techniques.
Tuition Fee Breakdown
- International fee: USD 950 per credit
- National fee: USD 950 per credit
- Local fee: USD 445 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum consists of 30 credit hours, including core requirements and elective options. Modules may include:
- Statistical Learning and Data Mining
- Linear Models and Design of Experiments
- Probability Models and Statistical Computing
- Applied Statistics and Multivariate Analysis
- Deep Learning and Artificial Neural Networks
- Programming Foundation for Data Analytics
- Information Visualization
- Big Data Analytics
- Masters Tutorial
Careers with Statistics and Data Science
Graduates are prepared for a wide range of data-driven roles across multiple industries. The broad applicability of the statistical and analytical skills gained during the programme allows alumni to pursue successful careers in sectors such as energy, oil and gas, healthcare, and finance. Common career paths include roles as data scientists and data analysts within technology firms, insurance companies, and government organisations. The programme's location in Houston specifically facilitates strong links to the regional energy and consulting markets.
Programme Structure
Courses include:
- Statistical Learning and Data Mining
- Linear Models and Design of Experiments
- Probability Models and Statistical Computing
- Applied Statistics and Multivariate Analysis
- Deep Learning and Artificial Neural Networks
- Programming Foundation for Data Analytics
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- Houston, United States
Disciplines
Statistics Data Science & Big Data View 308 other Masters in Statistics in United StatesWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Applicants must hold a bachelor’s or master’s degree. A major in mathematics is not required.
- Cumulative GPA of 3.00 or higher in the last 60 hours
- Content of prior degree programs and competency in mathematics, including prerequisites
- Letters of recommendation from three individuals (at least one faculty member)
- English proficiency test scores, when applicable.
- Resume and Personal Statement
- Background in Probability and Statistics is not essential, but is a plus.
- Proficiency in at least one of the main programing languages used in data analysis (R, SAS, Matlab, Python, etc.) is not required, but is helpful.
Tuition Fees
-
International Applies to you
Applies to youNon-residents28500 USD / year≈ 28500 USD / year - Out-of-State28500 USD / year≈ 28500 USD / year
-
Domestic
Applies to youIn-State13350 USD / year≈ 13350 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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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Statistics and 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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