Sample Program Grids

Sample grids are recommended courses of study. Occasional scheduling alterations for MSSP may be made on an individual basis. Otherwise, these grids need to be followed in order to ensure on-time graduation.

Full-time MSSP Program Configuration

1st Semester (Fall)
MSSP 628: Policy: Analysis of Issues, Strategy and Process (required)
MSSP 668: Economics for Social Policy (required)
MSSP 630: Quantitative Reasoning (required)
MSSP 629: Research and Evaluation Design (required) or Elective
Elective
Total: 5 cu

2nd Semester (Spring)
MSSP 631: Law and Social Policy (required)
MSSP 632: Capstone I: Policy Communications (required 0.5 cu)
MSSP 897: Applied Linear Modeling (required)
MSSP 629: Research and Evaluation Design (required) or Elective
Elective
Total: 4.5 or 5 cu

3rd Semester (Summer/Fall)
MSSP 633: Capstone II: Policy Internship (required** 0.5 cu)
Total: 0 or 0.5 cu

**Under certain approved circumstances, the Policy Internship may be completed in the spring semester, along with the Capstone I class.

MSSP + DA Program Configuration

SA = Statistical Analytics

CA = Computational Analytics

1st Semester (Fall)
MSSP 628: Policy: Analysis of Issues, Strategy and Process
MSSP 668: Economics for Social Policy
MSSP 897: Applied Linear Modeling & Lab
MSSP 606: Data for Equitable Justice Lab (non-credit)
CA: CIT 590: Programming Languages & Techniques
SA: Elective
Total: 4 cu

2nd Semester (Spring)
MSSP 631: Law & Social Policy
MSSP/SWRK 730: Community Mapping
MSSP 606: Data for Equitable Justice Lab (non-credit)
SA: CIT 590: Programming Languages & Techniques
SA: STAT 974: Modern Regression for the Social, Behavioral & Biologic Sciences (pre-requisite MSSP 897)
CA: CIS 545: Big Data Analytics (pre-requisite CIT 590)
CA: Elective
Total: 4 cu

3rd Semester (Fall)
MSSP 634 Capstone I: Telling Stories with Data (0.5 cu)
MSSP 710: Democratizing Data: Analytics for Social Change
MSSP 629: Research & Evaluation Design
MSSP 606: Data for Equitable Justice Lab (non-credit)
SA: MUSA 507: Applications of Urban Spatial Analytics (pre-requisite MSSP 730 or MUSA 503)
CA: CIS 519: Introduction to Machine Learning (pre-requisite CIS 545)
Total 3.5 cu

4th Semester (Spring)
MSSP 635 Capstone II: Policy Internship in Data Analytics (0.5 cu)

All courses are required with the exception of one Elective choice.

Part-time Program Configuration (10 course units plus internship: 2-3 years)

1st Semester (Fall)
MSSP 628: Policy: Analysis of Issues, Strategy & Process (required)
MSSP 629: Research and Evaluation Design (required) or Elective
Total: 2 cu

2nd Semester (Spring)
MSSP 631: Law and Social Policy (required)
MSSP 629: Research and Evaluation Design (required) or Elective
Total: 2 cu

3rd Semester (Summer)
Elective
Elective
Total: 2 cu

4th Semester (Fall)
MSSP 668: Economics for Social Policy (required)
MSSP 630: Quantitative Reasoning (required)
Total: 2 cu

5th Semester (Spring)
MSSP 632: Capstone I: Policy Communications (required 0.5 cu) AND**
MSSP 633: Capstone II: Policy Internship (required)
MSSP 897: Applied Linear Modeling (required)
Total: 1.5 or 2 cu

6th Semester (Summer)
OR* MSSP 633: Capstone II: Policy Internship (required**)
Total: 0 or 0.5 cu

**The Policy Internship may be done in the spring semester, along with the Capstone I class. OR – the Policy Research Internship may be done in the summer, upon completion of all course work.