Bachelor's degree

In Chicago (USA)

Price on request

Description

  • Type

    Bachelor's degree

  • Location

    Chicago (USA)

In the Department of Statistics—among the top 5 of 65 statistics programs in the nation—the faculty involves students in the invention, study, and development of principles and methods for modeling uncertainty via mathematical probability; for designing experiments, surveys, and observational programs; and for analyzing and interpreting analytical data. The faculty includes an expert in the history of statistics who recently won a Quantrell Award for Excellence in Undergraduate Teaching.The program offers excellent coverage of the principles and methods of statistics in combination with a solid training in mathematics. There is considerable elective freedom, enabling students to examine areas of knowledge in the biological, physical, and social sciences that are often subjected to detailed statistical analysis.Students in other fields of study may complete a minor in Statistics.

Facilities

Location

Start date

Chicago (USA)
See map
5801 South Ellis Avenue, 60637

Start date

On request

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

Subjects

  • Probability
  • Public
  • School
  • Calculus
  • Design
  • Statistics
  • Credit
  • Public Health

Course programme

Multivariate Statistical Analysis: Applications and Techniques
Time Dependent Data
Introduction to Statistical Genetics
Nonparametric Inference
Multiple Testing, Modern Inference, and Replicability
Linear Models and Experimental Design
Analysis of Categorical Data *
Biostatistical Methods *
Multivariate Statistical Analysis: Applications and Techniques
Time Dependent Data
Introduction to Statistical Genetics
History of Statistics
Nonparametric Inference
Multiple Testing, Modern Inference, and Replicability
Statistical Applications
Machine Learning and Large-Scale Data Analysis
Students may count either STAT 22600 Analysis of Categorical Data or STAT 22700 Biostatistical Methods, but not both, toward the major.
Markov Chains, Martingales, and Brownian Motion *
Introduction to Probability Models
Machine Learning
Optimization **
Mathematical Computation I: Matrix Computation Course
Mathematical Computation IIA: Convex Optimization
Mathematical Computation IIB: Nonlinear Optimization
Further Mathematical Computation: Matrix Computation and Optimization
Introduction to Stochastic Processes I *
Machine Learning
Measure-Theoretic Probability I
Measure-Theoretic Probability III
Students may count either MATH 23500 Markov Chains, Martingales, and Brownian Motion or STAT 31200 Introduction to Stochastic Processes I, but not both, toward the major.
For the BA in Statistics, STAT 28000 Optimization counts as a List C elective. For the BS in Statistics, STAT 28000 Optimization counts as a List C elective only if MATH 21100 Basic Numerical Analysis is also included in the program. In other words, for the BS, students cannot double-count STAT 28000 Optimization toward both the four-elective requirement and the requirement to take at least one of STAT 28000 Optimization and MATH 21100 Basic Numerical Analysis.
Elementary Functions and Calculus I-II
Calculus I-II
Honors Calculus I-II
Honors Calculus I (IBL)    and Honors Calculus II (IBL)
Elementary Functions and Calculus III
Calculus III
Honors Calculus III
Honors Calculus III (IBL)
Mathematical Methods for Physical Sciences I
Dynamical Systems with Applications
Mathematical Methods for Physical Sciences I-II
Analysis in Rn II-III
Analysis in Rn II (accelerated)    and Analysis in Rn III (accelerated)
Honors Analysis in Rn II-III
Numerical Linear Algebra
Abstract Linear Algebra
Statistical Theory and Methods I-II
Statistical Theory and Methods Ia-IIa
Introduction to Mathematical Probability
Introduction to Mathematical Probability-A
Applied Regression Analysis
Applied Linear Stat Methods
Computer Science with Applications I-II
Introduction to Computer Science I-II
Honors Introduction to Computer Science I-II
Credit may be granted by examination.
At least two of the electives must be on List B. The remaining two electives may be from either List B or C. Students may count either STAT 22600 Analysis of Categorical Data or STAT 22700 Biostatistical Methods, but not both, toward the BA. Students may count either MATH 23500 Markov Chains, Martingales, and Brownian Motion or STAT 31200 Introduction to Stochastic Processes I, but not both, toward the BA.
Elementary Functions and Calculus I-II
Calculus I-II
Honors Calculus I-II
Honors Calculus I (IBL)    and Honors Calculus II (IBL)
Elementary Functions and Calculus III
Calculus III
Honors Calculus III
Honors Calculus III (IBL)
Mathematical Methods for Physical Sciences I
Analysis in Rn III
Analysis in Rn III (accelerated)
Honors Analysis in Rn III
Mathematical Methods for Physical Sciences II
Basic Theory of Ordinary Differential Equations
Dynamical Systems with Applications
Numerical Linear Algebra
Abstract Linear Algebra
Optimization
Basic Numerical Analysis
Statistical Theory and Methods I-II
Statistical Theory and Methods Ia-IIa
Introduction to Mathematical Probability
Introduction to Mathematical Probability-A
Applied Regression Analysis
Applied Linear Stat Methods
Computer Science with Applications I-II
Introduction to Computer Science I-II
Honors Introduction to Computer Science I-II
 Credit may be granted by examination.
A candidate for the BS who has not taken STAT 34300 Applied Linear Stat Methods as one of the four prescribed statistics courses must take at least one elective from List A, a second elective from List B, and the remaining two electives may be from either List B or C. A candidate for the BS who has taken STAT 34300 Applied Linear Stat Methods as one of the four prescribed statistics courses must take at least two electives from List B and the remaining two electives may be from either List B or C. For the BS in Statistics, STAT 28000 Optimization counts as a List C elective only if MATH 21100 Basic Numerical Analysis is also included in the program. In other words, students cannot double-count STAT 28000 Optimization toward both the four-elective requirement and the requirement to take at least one of STAT 28000 Optimization and MATH 21100 Basic Numerical Analysis. Students may count either STAT 22600 Analysis of Categorical Data or STAT 22700 Biostatistical Methods, but not both, toward the BS. Students may count either MATH 23500 Markov Chains, Martingales, and Brownian Motion or STAT 31200 Introduction to Stochastic Processes I, but not both, toward the BS.
Generally, this sequence should be in the natural or social sciences, but a sequence in another discipline may be acceptable. Courses in MATH or CMSC may not be used for this requirement. Sequences in which earlier courses are prerequisites for later ones are preferred. Example sequences include BIOS 20198 Biodiversity-BIOS 20196 Ecology and Conservation-BIOS 23406 Biogeography; CHEM 22000-22100-22200 Organic Chemistry I-II-III; CHEM 26100-26200-26300 Quantum Mechanics; Thermodynamics; Chemical Kinetics and Dynamics; ECON 20000-20100-20200 The Elements of Economic Analysis I-II-III; ECON 20010-20110-20210 The Elements of Economic Analysis: Honors I-II-III; GEOS 21000 Mineralogy-GEOS 21100 Introduction to Petrology-GEOS 21200 Physics of the Earth; and PHYS 23400-23500 Quantum Mechanics I-II-PHYS 23700 Nuclei and Elementary Particles. All sequences must be approved by the Departmental Adviser for Majors.
Applied Regression Analysis *
Linear Models and Experimental Design *
Analysis of Categorical Data *, ***
STAT 22200 Linear Models and Experimental Design, STAT 22400 Applied Regression Analysis, and STAT 22600 Analysis of Categorical Data may be taken in any order after meeting the prerequisite of at least two quarters calculus and introductory statistics: STAT 22000 Statistical Methods and Applications, STAT 23400 Statistical Models and Methods, STAT 24500 Statistical Theory and Methods II, STAT 24510 Statistical Theory and Methods IIa, or AP credit for STAT 22000 Statistical Methods and Applications. STAT 11900 Introduction to Data Science II is also allowed to fulfill the introductory statistics prerequisite requirement.
If STAT 22200 Linear Models and Experimental Design is used to fulfill a requirement of the Statistics minor, then STAT 22600 Analysis of Categorical Data may be used as an elective in the minor. Similarly, If STAT 22600 Analysis of Categorical Data is used to fulfill a requirement of the Statistics minor, then STAT 22200 Linear Models and Experimental Design may be used as an elective in the minor.
An approved substitute for STAT 22600 Analysis of Categorical Data is STAT 22700 Biostatistical Methods, which requires STAT 22400 Applied Regression Analysis as prerequisite and is offered by the Department of Public Health Sciences. Students may count either STAT 22600 Analysis of Categorical Data or STAT 22700 Biostatistical Methods, but not both, toward the Statistics minor. STAT 22700 Biostatistical Methods does not count against the limit of no more than two electives from outside the Department of Statistics.
Not every combination of elective courses is allowed. Generally, no more than two electives may be satisfied by courses offered by departments other than the Department of Statistics. Students may petition the Departmental Adviser for Minors to include more than two electives from outside the Department of Statistics. Regardless, at most one elective can be satisfied by a course offered by the Booth School of Business. Further, due to the course grading policies of the Booth School of Business, their 40000-level courses cannot be counted toward the Statistics minor if taken during the quarter in which the student will graduate from the College.
Introduction to Data Science II 1
Statistical Methods and Applications 1,2
Linear Models and Experimental Design 3
Analysis of Categorical Data 3, 4
Statistical Models and Methods 1
Statistical Theory and Methods II 5
Statistical Theory and Methods IIa 5
Time Dependent Data
Introduction to Statistical Genetics
History of Statistics
STAT 11900 Introduction to Data Science II and either STAT 22000 Statistical Methods and Applications or STAT 23400 Statistical Models and Methods, but not both, may be used as electives if taken prior to any other courses for which at least STAT 22000 Statistical Methods and Applications or STAT 23400 Statistical Models and Methods is prerequisite. If either STAT 22000 Statistical Methods and Applications or STAT 23400 Statistical Models and Methods is used to fulfill a requirement for any major(s), other minors, or general education requirements, then neither course may be used to fulfill a requirement in the Statistics minor. STAT 11900 Introduction to Data Science II can only be used as an elective in the Statistics minor if the student also completes STAT 11800 Introduction to Data Science I (which cannot be included in a Statistics minor).
Students may not use AP credit for STAT 22000 Statistical Methods and Applications to meet a requirement for the Statistics minor. 
If STAT 22200 Linear Models and Experimental Design is used to fulfill a requirement of the Statistics minor, then STAT 22600 Analysis of Categorical Data may be used as an elective in the minor. Similarly, if STAT 22600 Analysis of Categorical Data is used to fulfill a requirement of the Statistics minor, then STAT 22200 Linear Models and Experimental Design may be used as an elective in the minor.
An approved substitute for STAT 22600 Analysis of Categorical Data is PBHS 32700 Biostatistical Methods (also designated as STAT 22700 Biostatistical Methods), which requires STAT 22400 Applied Regression Analysis as prerequisite and is offered by the Department of Public Health Sciences. Students may count either STAT 22600 Analysis of Categorical Data or STAT 22700 Biostatistical Methods, but not both, toward the Statistics minor. STAT 22700 Biostatistical Methods does not count against the limit of no more than two electives from outside the Department of Statistics. 
 If either STAT 24500 Statistical Theory and Methods II or STAT 24510 Statistical Theory and Methods IIa is used as an elective in the Statistics minor, then the prerequisite STAT 24400 Statistical Theory and Methods I or STAT 24410 Statistical Theory and Methods Ia may not be counted toward the minor, but may be counted toward any major(s) or other minors.
Intro Statistical Genetics
Big Data 1
Machine Learning 1
Introduction to Causal Inference
Mediation, Moderation, and Spillover Effects
Epidemiology and Population Health
Epidemiologic Methods
Biostatistical Methods 2
Statistical Analysis with Missing Data
Applied Longitudinal Data Analysis
Multilevel Modeling
Statistical Applications
Machine Learning and Policy
Applications of Hierarchical Linear Models
Introduction to Spatial Data Science
At most one elective can be satisfied by a course offered by the Booth School of Business. Due to the course grading policies of the Booth School of Business, their 40000-level courses cannot be counted toward the Statistics minor if taken during the quarter in which the student will graduate from the College.
An approved substitute for STAT 22600 Analysis of Categorical Data is PBHS 32700 Biostatistical Methods (also designated as STAT 22700 Biostatistical Methods), which requires STAT 22400 Applied Regression Analysis as prerequisite and is offered by the Department of Public Health Sciences. Students may count either STAT 22600 Analysis of Categorical Data or STAT 22700 Biostatistical Methods, but not both, toward the Statistics minor. STAT 22700 Biostatistical Methods does not count against the limit of no more than two electives from outside the Department of Statistics. 

Statistics

Price on request