Program Overview
The Master’s in Applied Statistics at the University of Kansas offers students the skills and expertise needed to thrive in the ever-growing fields of data science, analytics, and applied statistics. This program provides flexible learning options, both on-campus and online, to accommodate your lifestyle and career goals. Whether you are interested in exploring statistical modeling, predictive analytics, or big data analysis, this program will equip you with the tools needed to succeed.
One of the distinguishing features of KU’s MS in Applied Statistics, Analytics and Data Science is the ability to customize your studies through a choice of three areas of emphasis. Each emphasis is built around the tools and skills most in demand in today’s workforce, giving you a credential that speaks directly to the work you want to do.
- Analytics Emphasis: designed for students who want to work hands-on with large, complex datasets using industry-standard statistical software. Graduates pursue careers in business intelligence, operational analytics, and data-informed decision-making across sectors like healthcare, finance, and government.
- Statistics Emphasis: built for students drawn to the mathematical foundations of data work. You’ll develop deep proficiency in statistical computing and the methods most commonly applied in industry and government settings — preparing you for roles as a statistician, quantitative analyst, or research scientist.
- Data Science Emphasis: equips students with both the statistical and computational skills required to work with Big Data. From data acquisition to advanced machine learning methods, this track prepares graduates for data science roles in technology, research, and beyond.
Students may also complete multiple emphasis areas, and all three tracks share a common 15-credit-hour foundation in core statistical methods, meaning every graduate of the program is equipped to work across the full spectrum of data-driven fields.
The Master’s in Applied Statistics at KU is designed for students who want to build a solid foundation in statistical theory while applying this knowledge to real-world challenges. Students in this program gain expertise in advanced statistical methods, data science techniques, and analytics tools, preparing them for leadership roles in industries where data-driven decisions are essential.
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For more information about the program, visit the program page below.
Applied Statistics, Analytics & Data Science, MSKU School of Medicine
The Masters in Applied Statistics, Analytics and Data Science is part of the School of Medicine, a hub for outstanding educational programs and world-class research.Master’s in Applied Statistics, Analytics and Data Science Learning Outcomes
Graduates of the Master’s in Statistics program will be able to:
- Apply advanced statistical methods and techniques to solve complex data problems.
- Use statistical software tools (e.g., R, Python, SAS) for data analysis and visualization.
- Interpret and communicate data-driven findings to both technical and non-technical audiences.
- Conduct data analysis and modeling for various fields such as healthcare, business, technology, and government.
- Design and implement analytical strategies to support decision-making in organizations.
What Careers are Possible with a Master’s in Applied Statistics, Analytics and Data Science?
Graduates of the Master’s in Applied Statistics, Analytics, and Data Science program are well-prepared for a wide range of roles in industries that rely on data-driven decision-making. Some potential careers include:
- Data Scientist
- Statistician
- Data Analyst
- Business Intelligence Analyst
- Research Scientist
Masters in Statistics Jobs are in high demand across many sectors, including healthcare, business, finance, and technology. According to Lightcast, data science and statistical analysis roles are expected to continue growing at a rapid pace, with competitive salaries and job stability.
Tuition and Financial Aid
The University of Kansas is committed to making graduate education affordable. Tuition for the Master’s in Statistics program is competitive, and students can apply for financial aid through scholarships, assistantships, and federal student aid.
For information on tuition rates, financial aid opportunities, and how to apply for financial assistance, please visit KU Financial Aid.
Admission Requirements
To apply for the Master’s in Applied Statistics program, applicants must meet the following requirements:
- A completed bachelor’s degree from an accredited institution
- Must include an average grade of B or higher in Calculus I and II, or completion of STAT 655 with a B or higher
- Successful completion of a computer programming language course, or demonstrated mastery via credentials or work experience
- A minimum GPA of 3.0 on a 4.0 scale
- GRE scores are recommended but not required
- Official transcripts from all colleges and universities previously attended
- Three letters of recommendation from academic or professional references
- A personal statement that outlines your academic background, professional aspirations, and reasons for pursuing the Master’s in Applied Statistics, Analytics, and Data Science.
- Resume/CV
For more information on the application process and deadlines, please visit the KU Office of Graduate Admissions.
Student Life and Learning Experiences
The Master’s in Applied Statistics, Analytics, and Data Science program emphasizes both theory and hands-on learning. Students have the opportunity to engage in research projects, work with faculty on cutting-edge data science initiatives, and apply their skills to real-world datasets.
The program’s research opportunities include areas such as statistical modeling, machine learning, and predictive analytics. As a student, you will gain valuable experience that prepares you to contribute to innovative projects and address challenges in data science.
At KU, student life goes beyond the classroom. With a vibrant campus community and numerous student organizations, KU offers plenty of opportunities to network, collaborate, and grow both academically and professionally. The supportive KU environment fosters collaboration among students, faculty, and industry leaders, giving you the resources to succeed in your studies and career.
Master’s in Applied Statistics, Analytics and Data Science Sample Courses
The Master’s in Applied Statistics, Analytics, and Data Science curriculum offers a variety of courses that equip students with the skills they need to excel in statistical analysis and data science. Here are some sample courses you might take:
- Categorical Data Analysis
- Multivariate Statistics
- Linear Regression
- Data Mining and Analytics
For a full list of courses and detailed descriptions, please refer to the KU Catalog.
Master’s in Applied Statistics, Analytics and Data Science Frequently Asked Questions
When should I apply?
Applications are due May 1 (summer), August 1 (fall), and January 1 (spring).
How long will it take to complete the degree?
Students typically complete this degree in two years.