Overview
The Applied Statistics, Analytics and Data Science at the University of Kansas provides students with the advanced technical expertise required to excel in a data-driven global economy. This programme integrates rigorous mathematical foundations with modern computational techniques to address complex challenges in business, medicine, and technology. Students benefit from a curriculum designed to meet the growing demand for skilled professionals capable of managing large-scale datasets.
Why Applied Statistics, Analytics and Data Science at University of Kansas?
The University of Kansas offers an innovative learning environment where students engage with faculty who are active researchers in linear modelling, experimental design, and Bayesian methodology. The programme is highly ranked, with the university's graduate offerings frequently recognised by U.S. News & World Report for excellence among public institutions. Students gain access to collaborative research experiences and seminars that bridge the gap between theoretical study and industrial application.
Tuition Fee Breakdown
- International fee: USD 20712 per year
- National fee: USD 20712 per year
- Local fee: USD 8806 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is structured to provide a deep understanding of both classical statistics and modern data science. Modules may include:
- Biostatistics
- Health Data Science
- Applied Statistics
- Linear Modelling
- Experimental Design
- Data Informatics
- Clinical and Translational Science
- Data Analytics
Careers with Applied Statistics, Analytics and Data Science
Graduates are prepared for high-demand roles in a variety of sectors, including academia, government, and private industry. As data science remains one of the fastest-growing tech careers, students often pursue positions as data scientists or statisticians. These roles are essential for designing research studies, analysing complex findings, and creating new methods for problem-solving in STEM and business fields. The programme equips individuals with the skills to secure competitive six-figure jobs in the evolving landscape of big data management.
Programme Structure
Courses:
- Special Topics in Biostatistics & Data Science
- Principles of Statistics in Public Health
- Biostatistics
- Data Management using RedCap and SAS
- Analysis of Variance
- Applied Nonparametric Statistics
Key information
Start dates & application deadlines
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- Overland Park, United States
Disciplines
Statistics Data Science & Big Data Data Analytics View 196 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
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Other requirements
General requirements
- Proof of a bachelor's degree (and any post-bachelor’s coursework or degrees) from a regionally accredited institution, or a foreign university with substantially equivalent bachelor's degree requirements
- Proof of English proficiency for non-native or non-native-like English speakers
- Writing samples
- A personal statement
- Exam test scores
- Minimum GPA
- Letters of recommendation
Tuition Fees
-
International Applies to you
Applies to youNon-residents20712 USD / year≈ 20712 USD / year - Out-of-State20712 USD / year≈ 20712 USD / year
-
Domestic
Applies to youIn-State8806 USD / year≈ 8806 USD / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Applied Statistics, Analytics 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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