MS in Applied Statistics

Sample Schedules

Revised: May 2015 (subject to annual revision)
Full-time, non-accelerated:
Total Points Required: 41-45
Fall Semester Year One12-13 Credits
RESCH-GE.2132: Empirical Research Methods 3
APSTA-GE.2003: Intermediate Quantitative Methods
Or
STAT-GB 2301: Regression and Multivariate Data Analysis
3
RESCH-GE.2139: Survey Research I 3
Elective 1 3-4
Spring Semester Year One12-13 Credits
APSTA-GE.2004: Topics in Multivariate Analysis 2
APSTA-GE.2122: Applied Statistical Modeling and Inference 3
APSTA-GE.2110: Applied Statistics: Using Large Databases in Education Research 4
Elective 2 3-4
Fall Semester Year Two10-13 Credits

APSTA-GE.2015: Applied Spatial Statistics
Or
APSTA-GE.2016: Factor Analysis I: Exploratory Factor Analysis and Item Response1 

2

APSTA-GE.204x: Practicum in Applied Statistics (Spatial or Factor Analysis I)2 [OPTIONAL]

0-1
APSTA-GE.2012: Causal Inference 3
APSTA-GE.2300 Internship 2-4
APSTA-GE.2401: Statistical Consulting Research Seminar 3
Spring Semester Year Two7-11 Credits
APSTA-GE.2042: Multilevel Models: Nested Data [may be offered in Winter Session] 2
APSTA-GE.2041: Practicum in Multilevel Models [may be offered in Winter Session] 1
APSTA-GE.2997: Generalized Linear and Multilevel Growth Curve Models1 2

OPTIONAL:
APSTA-GE.2011: Classification and Clustering

And/or
APSTA-GE.2017: Practicum in Educational Data Science
And/or
APSTA-GE.2094: Factor Analysis II: Confirmatory Factor Analysis and Structural Equation Modeling1

0-4

APSTA-GE.2013: Missing Data

2
Total41-50

 

Full-time, accelerated:
Total Points Required: 34-37

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 Credits

RESCH-GE.2132: Empirical Research Methods

3

APSTA-GE.2012: Causal Inference

3

RESCH-GE.2139: Survey Research I

3

Elective 1

3

Spring Semester Year One

13-14 Credits

 APSTA-GE.2042: Multilevel Models: Nested Data [may be offered in Winter Session]

2

APSTA-GE.2011: Classification and Clustering 
or
APSTA-GE.2094: Factor Analysis and Structural Equation Modeling

2-3

APSTA-GE.2997: Generalized Linear and Multilevel Growth Curve Models1

2

APSTA-GE.2122: Applied Statistical Modeling and Inference

3

APSTA-GE.2013: Missing Data

2

APSTA-GE.2017: Practicum in Educational Data Science

2

Fall Semester Year Two

9-13 Credits

APSTA-GE.2015: Applied Spatial Statistics
Or
APSTA-GE.2016: Factor Analysis I: Exploratory Factor Analysis and Item Response1 

2-3

APSTA-GE.2300 Internship

1-4

APSTA-GE.2401: Statistical Consulting Research Seminar

3

Elective 2

3

Total

34-38

 

Part-time, non-accelerated:
Total Points Required: 41-49
Fall Semester Year One

9 Credits

RESCH-GE.2132: Empirical Research Methods

3

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

3

RESCH-GE.2139: Survey Research I

3

Spring Semester Year One

9 Credits

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

2

APSTA-GE.2110: Applied Statistics: Using Large Databases in Education Research

4

APSTA-GE.2122: Applied Statistical Modeling and Inference

3

Fall Semester Year Two

8-9 Credits

APSTA-GE.2015: Applied Spatial Statistics
Or
APSTA-GE.2016: Factor Analysis I: Exploratory Factor Analysis and Item Response1 

2

APSTA-GE.2012: Causal Inference

3

Elective 1

3-4

Spring Semester Year Two

5-9 Credits

APSTA-GE.2042: Multilevel Models: Nested Data [may be offered in Winter Session]

2

APSTA-GE.2041: Practicum in Multilevel Models [may be offered in Winter Session]

1

OPTIONAL:
APSTA-GE.2011: Classification and Clustering

And/or
APSTA-GE.2017: Practicum in Educational Data Science
And/or
APSTA-GE.2094: Factor Analysis II: Confirmatory Factor Analysis and Structural Equation Modeling1

0-4

APSTA-GE.2997: Generalized Linear and Multilevel Growth Curve Models1

2

Fall Semester Year Three

6-7 Credits

APSTA-GE.2401: Statistical Consulting Research Seminar

3

Elective 2

3-4

Spring Semester Year Three

4-6 Credits

APSTA-GE.2300 Internship

2-4

APSTA-GE.2013: Missing Data

2

Total

41-49

 1Indicates course title is in the process of being changed to the given title.  Other course titles should differ in only minor ways.

2Indicates that course number is still being assigned (e.g., 204x).  Consult advisor for latest course numbering.