3 year bachelor degree followed by completed master degree or
3 year bachelor degree followed by certain postgraduate diplomas that are either AIU or AICTE
Your statement of purpose include why you feel that the UW-Madison program is a good fit for you, and conversely, why you are a good fit for our program. What are you hoping to work on in the field with your degree? Are there any professors here that you would particularly like to work with? Any research areas in statistics that particularly excite you?
The overall length of the statement is usually about 2 pages, single or double spaced. You can use whatever font and formatting you are comfortable with.
Supplemental Application (Including a List of Courses)
A supplemental application is required as part of the online application. You will be asked to answer the following questions and provide the following information:
1、Are you applying to the Biostatistics option? Yes/No (There is no advantage to applying to both programs.)
2、List any major competitive honors, awards, and/or fellowships you have received.
3、List any undergraduate or graduate research experiences.
4、Provide a table with all courses you have taken, are currently taking, or plan to take prior to coming to UW-Madison that contain substantial mathematical, statistical, quantitative, or computational content. Include courses from other disciplines such as economics, physics, or engineering, if applicable. Use one row per course with columns for the course number, course title, textbook used (if possible), and grade received (if already completed). Upload this document as a pdf.
STAT 609Mathematical Statistics I or STAT/MATH 709 Mathematical Statistics
STAT 610Introduction to Statistical Inference or STAT/MATH 710 Mathematical Statistics
STAT 849Theory and Application of Regression and Analysis of Variance I
STAT 850Theory and Application of Regression and Analysis of Variance II
STAT 998Statistical Consulting
STAT 303 R for Statistics I
STAT 304 R for Statistics II
STAT 305 R for Statistics III
STAT 349 Introduction to Time Series
STAT 351 Introductory Nonparametric Statistics
STAT 411 An Introduction to Sample Survey Theory and Methods
STAT 421 Applied Categorical Data Analysis
STAT 433 Data Science with R
STAT 443 Classification and Regression Trees
STAT 451 Introduction to Machine Learning and Statistical Pattern Classification
STAT 453 Introduction to Deep Learning and Generative Models
STAT 456 Applied Multivariate Analysis
STAT 461 Financial Statistics
STAT 479 Special Topics in Statistics
STAT 575 Statistical Methods for Spatial Data
STAT/COMP SCI 471 Introduction to Computational Statistics
STAT/COMP SCI/MATH 475 Introduction to Combinatorics