Applied Quantitative Methods and Social Analysis, MS (Boston)

Core Requirements

Core Requirements

1. INSH 6300

   Research Methods in the Social Sciences
   4
2. INSH 6500

   Statistical Analysis
   4

Electives

1. Complete 12 semester hours from the following:

   Not resolved to a course
   12

Concentration courses may not be double counted as elective courses.

CRIM, ECON, INSH, POLS, PPUA, and/or SOCL at the 5000 level or higher

The following courses may also count as electives toward the program.

1. ARTG 6460

   Human-Centered AI
   4
2. CS 5047

   Exploring AI Trends and Tools
   4
3. EDUT 6150

   AI in Education
   4
4. HLTH 5800

   AI Across the Health Sciences
5. IE 5640

   Data Mining for Engineering Applications
6. JRNL 6460

   AI in Media Industries
7. PHIL 5110

   Responsible AI
   4

Optional Co-op Experience

1. INSH 6964and EESH 6000

   Co-op Work Experienceand Professional Development for Co-op

   Not resolved to a course

Computational Social Science Concentration

Concentration Requirements

1. DA 5030

   Introduction to Data Mining/Machine Learning
   4
2. INSH 5302

   Information Design and Visual Analytics

   or: POLS 7334 Social Networks

   or: PPUA 5262 Big Data for Cities

   or: PPUA 5263 Geographic Information Systems for Urban and Regional Policy
   4
3. INSH 6406

   Analyzing Complex Digitized Data

   or: INSH 5301 Introduction to Computational Statistics
   4

Data Analytics in the Social Sciences Concentration

Concentration Requirements

1. DA 5020

   Collecting, Storing, and Retrieving Data

   or: DA 5030 Introduction to Data Mining/Machine Learning
   4
2. INSH 5301

   Introduction to Computational Statistics
   4
3. INSH 5302

   Information Design and Visual Analytics
   4

Information Ethics for Social Analysis Concentration

Concentration Requirements

1. CY 5240

   Cyberlaw: Privacy, Ethics, and Digital Rights
   4
2. PHIL 5001

   4 Co-op Co-op POLS elective

   As published: “Global Justice”

   or: PHIL 5002 Ethics and Public Policy

   or: PHIL 5010 AI Ethics
   4
3. PHIL 5005

   Information Ethics
   4

Machine Learning and Econometrics Concentration

Concentration Requirements

1. ECON 5140

   Applied Econometrics
   4
2. ECON 5210

   Machine Learning in Economics
   4
3. ECON 5220

   Computational Finance and Financial Econometrics
   4

Network Analysis in the Social Sciences Concentration

Concentration Requirements

1. INSH 5301

   Introduction to Computational Statistics
   4
2. INSH 5302

   Information Design and Visual Analytics
   4
3. INSH 6304

   Modeling and Analyzing Social Networks

   or: POLS 7334 Social Networks
   4

Statistical Methods in the Social Sciences Concentration

Concentration Requirements

1. INSH 5301

   Introduction to Computational Statistics
   4
2. INSH 7400

   Quantitative Analysis
   4
3. INSH 7500

   Advanced Quantitative Analysis
   4