Overview
The Master of Science in Statistics and Data Science at the University of Houston is a meticulously crafted programme that combines theoretical knowledge with practical application in the field of data analysis. This degree is aimed at individuals seeking to develop their expertise in statistical methods and data science techniques, preparing them for a range of professional opportunities in various industries. The curriculum is designed to provide students with a robust foundation in statistical analysis, data mining, and computational techniques, ensuring they are well-equipped to tackle real-world data challenges.
Why Statistics and Data Science at University of Houston?The University of Houston is renowned for its strong academic reputation and commitment to research excellence. The Statistics and Data Science programme stands out due to its integration of cutting-edge data analytics techniques and its focus on practical applications. Students benefit from access to state-of-the-art facilities and resources, as well as opportunities to engage in collaborative projects with industry partners, enhancing their learning experience and employability.
Tuition Fee BreakdownThe tuition fees for the Statistics and Data Science programme are structured as follows:
- International Fee: USD 955 per credit
- National Fee: USD 955 per credit
- Local Fee: USD 445 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the M.S. in Statistics and Data Science consists of 30 credit hours, including 24 credit hours of required courses and an elective. The required 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
- Information Visualization
- Big Data Analytics
Additionally, students are required to complete one elective course, such as:
- Financial & Commodity Markets
- Biomedical Data Analysis & Computing
- Case Studies in Data Science
- Special Topics in Statistics
An internship is also a key component, allowing students to gain hands-on experience in the field.
Careers with Statistics and Data ScienceGraduates of the M.S. in Statistics and Data Science programme from the University of Houston have successfully secured positions in various sectors, including banking, biomedical, energy, insurance, and finance. Alumni have taken on roles such as Data Scientists, Data Analysts, and Finance Data Analysts in reputable organisations, reflecting the programme's effectiveness in preparing students for impactful careers in data-related fields.
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 461 other Masters in Data Science & Big Data 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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- 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 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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