The University of Colorado Boulder is committed to teaching the next generation of interdisciplinary data scientists.

Masters of Science in Applied Mathematics 

Statistics & Data Sciences Track

Interdisciplinary, Residential program

Masters of Science in Data Science on Campus

Interdisciplinary, Residential program

Masters of Science in Data Science on Coursera

Asynchronous, Online program

Masters in Business Analytics

Residential, Online program

Masters of Science in Applied Mathematics: Statistics and Data Sciences Track

CU Boulder’s graduate program in applied mathematics offers students the opportunity to specialize in statistics and data science, or a customized track of their choice.

Admission

  • Undergraduate degree with GPA of at least 3.0.
  • Computing experience, such as R, Python, C, C++ or MATLAB. Experience with UNIX can be helpful.
  • Completion of a rigorous calculus sequence and linear algebra are required. More advanced courses, such as Probability Theory, Introduction to Statistics, and Advanced Calculus (analysis), are strongly desired. Other advanced coursework in, for example, partial differential equations, complex analysis or numerical analysis would also be beneficial.

Key Courses

  • Statistical Modeling for Data Science 
  • Data Assimilation 
  • Theory of Machine Learning
  • Time Series
  • Deep Learning I and II
  • Computational Bayesian Statistics
  • Randomized Algorithms
  • Mathematical Statistics

Careers

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer 
  • Statistician

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Masters of Science in Data Science on Campus

An interdisciplinary, residential program combining courses in computer science, statistics, and information science as well as application area courses.

Admission

  • Undergraduate degree with GPA of at least 3.0 
  • Bridging courses are provided for those without a calculus or programming background.

Key Courses

  • Statistical Methods 1 & 2
  • Machine Learning
  • Data Structures and Algorithms
  • Data Mining
  • Choose from many electives including Independent Studies and Internships

Careers

  • Data Scientist
  • Data Analyst

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Masters of Science in Data Science on Coursera

Fully asynchronous, online program for students wanting a self-paced program.  Courses offered in 6 Eight week sessions per year.

Admission

  • Complete a pathway specialization (3 credit hours) with a B average or better
  • Choose from Data Structures and Algorithms or Statistical Inference Pathway Specializations

Key Courses

  • Statistical Methods 1 & 2
  • Machine Learning
  • Data Structures and Algorithms
  • Data Mining
  • Choose from many electives

Careers

  • Data Scientist
  • Data Analyst

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Masters in Business Analytics

Leeds MS Business Analytics program (STEM-designated) teaches students the technical skills necessary to apply and manage modern data science to solve data-driven business problems. Leeds MS Business Analytics offers four specialized tracks: Marketing Analytics, Decision Science, Healthcare Analytics, and Security Analytics.

Key Courses

  • Advanced Data Analytics
  • Machine Learning in Python
  • Structured & Unstructured Data Modeling & Analysis
  • Modern Artificial Intelligence
  • Track Specific courses

Careers

  • Business Analyst
  • Project Manager
  • Data Scientist
  • Consultant

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