MS in Statistics offered by Stanford University
- Private University
8180 acre campus- Estd. 1885
MS in Statistics at Stanford University Overview
MS in Statistics
at Stanford University
Gain knowledge, skills, and experiences needed to excel in various careers in statistics, data science, and related fields
Duration | 24 months |
Start from | Start Now |
Total fee | ₹1.46 Crores |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | PG Degree |
MS in Statistics at Stanford University Highlights
MS in Statistics
at Stanford University
- Earn a degree after completion of the course
- Financial aid facility available
MS in Statistics at Stanford University Course details
MS in Statistics
at Stanford University
Skills you will learn
Who should do this course?
- Recent graduates with bachelor's degrees in mathematics, statistics, economics, computer science, engineering, or related fields who wish to deepen their understanding of statistical theory and methods and pursue careers in data analysis, research, or academia
- Working professionals in industries such as finance, healthcare, marketing, technology, government, and consulting seeking to enhance their statistical skills, expand their career opportunities, or transition into data science or analytics roles within their organizations
What are the course deliverables?
- Probability Theory
- Mathematical Statistics
- Statistical Inference
- Linear Models
- Multivariate Analysis
- Time Series Analysis
- Bayesian Statistics
- Nonparametric Statistics
- Experimental Design
- Categorical Data Analysis
- Statistical Computing
- Statistical Learning
More about this course
- This course emphasizes both theoretical foundations and practical applications of statistics, allowing students to gain a deep understanding of statistical concepts while also acquiring hands-on experience with statistical software tools and real-world datasets
- This course will equip students with the analytical skills, critical thinking abilities, and communication proficiency needed to thrive in data-driven decision-making environments and contribute to advancements in statistical research and practice
MS in Statistics at Stanford University Curriculum
MS in Statistics
at Stanford University
Mathematics of Sports
Data Science 101
Statistical Methods in Engineering and the Physical Sciences
Principles of Data Science
Theory of Probability
Theory of Probability I
Theory of Probability II
Biostatistics
Modern Statistics for Modern Biology
Introduction to Statistical Methods: Precalculus
Introduction to Applied Statistics
Introduction to R
Multilevel Modeling Using R\
Multilevel Modeling Using R
Independent Study
Introduction to Statistical Inference
Data Mining and Analysis
Introduction to Regression Models and Analysis of Variance
Introduction to Regression Models and Analysis of Variance
Sampling
Introduction to Nonparametric Statistics
MS in Statistics at Stanford University Entry Requirements
MS in Statistics
at Stanford University
Eligibility criteria
- Education: Bachelor's degree
Conditional Offer
- Not mentioned
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MS in Statistics at Stanford University Contact Information
MS in Statistics
at Stanford University