Admissions
K-State students in a data analytics class looking at a computer screen together.

Data Analytics Master's Degrees

Whether your job is becoming more data centered or you're looking to make a career shift, our degrees can be customized to fit your needs.

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K-State has two master's degrees with three tracks for career-changers or career advancement.

Master's in Data Analytics (on-campus & online)

  1. Data Science Track emphasizes building a solid understanding of theoretical foundations and advanced computational methods and techniques used in data analytics.
      Courses include:
      • Principals of AI
      • Machine Learning and Pattern Recognition
      • Multivariate Statistical Methods

    Typical jobs: data scientist, machine learning engineer, AI specialist.

  2. Applied Analytics Track centers on applying data analytics in business contexts to transform data into actionable insights through various computational tools and techniques.
      Courses include:
      • Advanced Marketing Analytics
      • Enterprise Information Systems Management
      • SQL/NoSQL

    Typical jobs: data analyst, business intelligence analyst, marketing/operations/finance/HR analyst.

Master's in Statistics (on-campus)

  1. Data Science and Analytics Track balances modeling theory and practical skills for computational statistical analytics.
      Courses include:
      • Design of Experiments
      • Discrete Optimization and Scalability for Data Science
      • Applied Data Mining/Machine Learning and Predictive Analytics
      • Applied Bayesian Methods

    Typical jobs: data scientist, machine learning scientist, machine learning engineer, risk/quality analyst, statistician.

Data Analytics M.S. details

The program's interdisciplinary approach allows for customization to focus on the topics most important to you. Some topics available include:

  • Artificial intelligence
  • Big data analytics
  • Econometrics
  • Machine learning and pattern recognition
  • Marketing analytics
Computational Tools and Languages

No prior coding is required for this degree program and students from all backgrounds are welcome. Students will learn/use a variety of tools and languages through the curriculum and workshops, including:

  • Programming languages: Python, R, SQL
  • Data visualization tools: Stata, Tableau, and PowerBI
  • Cloud computing environments: AWS (Amazon Web Services) and Azure

Statistics M.S. details

This program prepares you to develop data-driven solutions that go beyond analyzing information. You will gain the skills to advise decision-makers on what information to use, how to get it, and what to do with it.

Rooted in both theory and application. the curriculum introduces students to multiple advanced statistical and learning methodologies, including:

  • Linear models, experimental design, and multivariate methods.
  • Optimization and scalability approaches for large datasets.
  • Bayesian inference, machine learning, and spatio-temporal modeling and prediction.
Prior knowledge

A background in basic calculus, matrix algebra, introductory statistics and programming in R, Python or a similar language is necessary.

Rest assured, any or all of these prerequisite courses can be taken at K-State before starting the degree.

Not ready for a master's degree? Explore our graduate certificates. Applied statistics will prepare you for research, develop data analysis skills and explore applied statistics. Data analytics will encompass both data science and applied analytics courses. Request more information above!


Here's what students have to say:

 

  • Soumya sitting in front of a fireplace

    The MSDA program has truly transformed my career and taken it to the next level. With the skills I have learned from this program, along with my data science undergraduate minor, I am now capable of fulfilling Data Engineer and Analytics responsibilities and have also successfully deployed efficient custom models that are allowing Spectrum Mobile to decommission fraud, saving $1M annually. I am forever grateful and honored to have had this wonderful learning opportunity.

    Soumya Punati, Data Scientist at Spectrum
  • Headshot of Den with a big smile, standing in front of wooden lattice.

    This program has significantly contributed to my personal growth in the field of statistics. The faculty have been incredibly supportive and consistently encourage me to think deeper about the concepts we explore in class. After graduation, I will be working as a Data Scientist at Commerce Bank.

    Den Jackson, M.S. Statistics 2025

K-State OnlineOnline student studying at home with child in background

Advance your goals from wherever you are with a flexible, online education that allows you to learn and study anytime, anywhere. At K-State, you'll have:

  • The same expert faculty who teach on campus.
  • Advisors who understand your need to balance your time.
  • The same tuition rate regardless of where you call home.
  • Scholarships specifically for part-time online students.