Explore programs offered in online, classroom or hybrid learning formats. What’s your latest curiosity?
Discover how to make, and defend, critical business decisions by applying powerful data analysis tools and statistical techniques to large-scale data sets.
Learn how to apply standard tools and techniques to extract connections and insights from complex data.
Examine ways to organize and derive meaning from vast amounts of data by using visual presentation tools and techniques. Develop your ability to make data make sense for everyone.
Study the best practices and mathematical concepts behind machine learning and deep learning. Learn to apply and model these techniques to address business needs and real-world challenges.
Explore the power and potential of natural language processing in a variety of fields and learn to bridge the gap between people and machines using a variety of NLP applications.
Acquire the skills to perform advanced data analysis and modeling, data exploration and mining using industry-standard statistical models and tools.
Gain valuable knowledge and skills relating to portfolio optimization, financial data science, quantitative risk management, simulation, machine learning and R programming.
Be at the forefront of scientific innovation by learning to employ linguistics and natural language processing to help create human language processing systems.
Gain the deep technical knowledge and interdisciplinary skills needed to turn massive data sets into insights organizations can use.
Build strong skills in statistics through a rigorous course of study in statistical theory, methods, data analysis and computation. Choose from a range of elective topics in statistical science.
Learn methods of applying mathematics to different fields in this top-ranked interdisciplinary program. Gain skills that complement your area of expertise.
Learn the latest tools and techniques for processing data into dynamic visual representations that tell a story and effectively guide business decisions.
Study advanced variations of linear models with R programming. Master data handling and manipulation.
Develop strategies for creating coherent data stories that can be tailored to different audiences. Learn how to design and produce richly interactive dashboards.
Gain a theoretical understanding of deep learning, a subfield of artificial intelligence, and get hands-on experience in emerging use cases.
Learn how to understand and analyze data. Go through the data analysis process from start to finish and use the tools that will enable you to thrive in data-driven organizations.
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