Academics
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
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
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
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