MS in Applied Statistics

Sample Schedules

Revised: July 2017 (subject to annual revision)
Full-time, non-accelerated:
Total Minimum Credits Required: 42 
Fall Semester Year One12-13 Credits

APSTA-GE 2003: Intermediate Quantitative Methods

OR

STAT-GB 2301: Regression and Multivariate Data Analysis

3

APSTA-GE 2331:  Data Science for Social Impact

OR

RESCH-GE 2132 Principles of Empirical Research

3

APSTA-GE 2351: Practicum in Applied Probability

3

APSTA-GE 2352: Practicum in Statistical Computing

2
Elective 1 1-2
J-Term Year One (Optional)2 Credits
APSTA-GE 2011: Advanced Topics in Quantitative Methods: Classification and Clustering 2
Spring Semester Year One12 Credits
APSTA-GE.2004: Topics in Multivariate Analysis 2

APSTA-GE 2042: Multilevel Models: Nested-Data

2
APSTA-GE 2044: Generalized Linear and Multilevel Growth Curve Models 2
APSTA-GE 2122: Applied Statistical Modeling and Inference 4
Elective 2 2
Fall Semester Year Two12-15 Credits

APSTA-GE 2012: Causal Inference

3

APSTA-GE 2139: Survey Research Methods

3

APSTA-GE 2401: Statistical Consulting Research Seminar

3

A3SR Elective 1     

A3SR Electives Options:

APSTA-GE.2015: Applied Spatial Statistics
APSTA-GE.2040: Multilevel Models: Growth Curves
APSTA-GE.2041: Practicum in Multilevel Models
APSTA-GE 2093: Psychometric Theory 
APSTA-GE.2110: Applied Statistics: Using Large Databases in Education Research

2-3

Elective 3

1-3
Spring Semester Year Two6-15 Credits

APSTA-GE 2310: Internship

1-4

APSTA-GE 2017 : Educational Data Science Practicum 

2

A3SR Elective 2

A3SR Electives Options:

APSTA-GE.2013: Missing Data
APSTA-GE.2017: Practicum in Educational Data Science
APSTA-GE.2094: Factor Analysis II: Confirmatory Factor Analysis and Structural Equation Modeling
APSTA-GE.2110: Applied Statistics: Using Large Databases in Education Research

2-3

Elective 4

1-3
Total42 credits minimum

 

Full-time, accelerated:
Total Minimum Credits Required: 34

Below is a proposed accelerated course schedule for students with prior advanced coursework.  You must have completed the equivalent of Intermediate Quantitative Methods (The General Linear Model, Logistic Regression) and Advanced Modeling I: Topics in Multivariate Analysis (selected topics, including Factor Analysis, Structural Equation Models, Repeated Measures ANOVA and introduction to Hierarchical Linear Models), as well as have practical experience in Data Management that opts you out of Large Databases, as well as reduces your internship requirement to 1 point.

Fall Semester Year One

12-14 Credits

APSTA-GE.2012: Causal Inference

3

APSTA-GE 2331:  Data Science for Social Impact

OR

RESCH-GE 2132 Principles of Empirical Research

3

APSTA-GE 2352: Practicum in Statistical Computing

2

A3SR Elective 1

2-3

A3SR Elective 2

2-3

A3SR Electives Options:

APSTA-GE.2015: Applied Spatial Statistics
APSTA-GE.2040: Multilevel Models: Growth Curves
APSTA-GE.2041: Practicum in Multilevel Models
APSTA-GE 2093: Psychometric Theory 
APSTA-GE.2110: Applied Statistics: Using Large Databases in Education Research

 

J-Term Year One (Optional)

2 Credits

APSTA-GE 2011: Advanced Topics in Quantitative Methods: Classification and Clustering

2

Spring Semester Year One

12 Credits

APSTA-GE 2004: Advanced Modeling I: Topics in Multivariate Analysis

2

APSTA-GE 2042: Multilevel Models: Nested-Data

2

APSTA-GE 2044: Generalized Linear and Multilevel Growth Curve Models

2

APSTA-GE.2122: Applied Statistical Modeling and Inference

4

APSTA-GE.2017: Practicum in Educational Data Science

2

Fall Semester Year Two

10-12 Credits

APSTA-GE 2139: Survey Research Methods

3

APSTA-GE 2310: Internship

1

APSTA-GE.2401: Statistical Consulting Research Seminar

3

Elective 1

2-3

Elective 2

1-2

Total

34 credits minimum

 

Part-time, non-accelerated:
Total Minimum Credits Required: 42
Fall Semester Year One

8 Credits

APSTA-GE.2003: Intermediate Quantitative Methods
Or
STAT-GB 2301: Regression and Multivariate Data Analysis

3

APSTA-GE 2351: Practicum in Applied Probability

3

APSTA-GE 2352: Practicum in Statistical Computing

2

Spring Semester Year One

8 Credits

APSTA-GE.2004: Advanced Modeling I: Topics in Multivariate Analysis

2

APSTA-GE 2017 : Educational Data Science Practicum

2

APSTA-GE.2122: Applied Statistical Modeling and Inference

4

Fall Semester Year Two

9 Credits

APSTA-GE 2012: Causal Inference

3

APSTA-GE 2331:  Data Science for Social Impact

OR

RESCH-GE 2132 Principles of Empirical Research

3

APSTA-GE 2139: Survey Research Methods

3

Spring Semester Year Two

7-11 Credits

APSTA-GE 2310: Internship

1-4

APSTA-GE.2042: Multilevel Models: Nested Data 

2

APSTA-GE 2044: Generalized Linear and Multilevel Growth Curve Models

2

A3SR Elective 1

2-3

 A3SR Electives Options

APSTA-GE.2013: Missing Data
APSTA-GE.2017: Practicum in Educational Data Science
APSTA-GE.2094: Factor Analysis II: Confirmatory Factor Analysis and Structural Equation Modeling
APSTA-GE.2110: Applied Statistics: Using Large Databases in Education Research

 

Fall Semester Year Three

6 Credits

APSTA-GE.2401: Statistical Consulting Research Seminar

3

A3SR Elective 2

3

A3SR Electives Options:

APSTA-GE.2015: Applied Spatial Statistics
APSTA-GE.2040: Multilevel Models: Growth Curves
APSTA-GE.2041: Practicum in Multilevel Models
APSTA-GE 2093: Psychometric Theory 
APSTA-GE.2110: Applied Statistics: Using Large Databases in Education Research

 

Spring Semester Year Three

4-6 Credits

Elective 1

2-3

Elective 2

2-3

Total

42 credits minimum