Main navigation
- Programs
- Subjects
- Universities
- Destinations
- Advice
Statistics forms the core of data science. In this program, you'll master essential tools that fuel advancements in artificial intelligence, scientific research, and predictive analytics across business and government sectors. You'll gain entry into the dynamic field of data science, which is revolutionizing startup ecosystems and transforming socioeconomic structures. The curriculum provides a solid mathematical and computational grounding in statistical learning (also known as machine learning), high-dimensional statistics, data visualization, and Bayesian methods - equipping you to develop advanced models that account for real-world uncertainties.
Learning Outcomes
Develop statistical approaches to address scientific, business, and policy challenges while handling imperfect, large-scale, and complex real-world datasets.
Create visual representations of patterns within high-dimensional and complex data (including temporal and spatial dimensions).
Acquire deep knowledge of the mathematical and computational foundations behind statistical methods.
Apply Bayesian principles in data analysis and recognize situations where this approach offers advantages.
Distinguish between analytical techniques for Big Data versus conventional small-to-medium dataset scenarios.