Applied Quantitative Methods and Social Analysis, MS (Boston)

Graduatemajor2027 catalogSocial Sciences HumanitiesBoston32 semester hours totalverified parse

Official catalog page for this program

Core Requirements

• INSH 6300 — Research Methods in the Social Sciences
• INSH 6500 — Statistical Analysis

Electives

From the catalog

Complete 12 semester hours from the following:

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.

• Choose 12 semester hours from:
  • ARTG 6460 — Human-Centered AI
  • CS 5047 — Exploring AI Trends and Tools
  • EDUT 6150 — AI in Education
  • HLTH 5800 — AI Across the Health Sciences
  • IE 5640 — Data Mining for Engineering Applications
  • JRNL 6460 — AI in Media Industries
  • PHIL 5110 — Responsible AI

Optional Co-op Experience

• One of:
  • All of:
    • INSH 6964 — Co-op Work Experience
    • EESH 6000 — Professional Development for Co-op

Concentrations (choose 1)

Computational Social Science

• DA 5030 — Introduction to Data Mining/Machine Learning
• One of:
  • INSH 5302 — Information Design and Visual Analytics
  • POLS 7334 — Social Networks
  • PPUA 5262 — Big Data for Cities
  • PPUA 5263 — Geographic Information Systems for Urban and Regional Policy
• One of:
  • INSH 6406 — Analyzing Complex Digitized Data
  • INSH 5301 — Introduction to Computational Statistics

Data Analytics in the Social Sciences

• One of:
  • DA 5020 — Collecting, Storing, and Retrieving Data
  • DA 5030 — Introduction to Data Mining/Machine Learning
• INSH 5301 — Introduction to Computational Statistics
• INSH 5302 — Information Design and Visual Analytics

Information Ethics for Social Analysis

• CY 5240 — Cyberlaw: Privacy, Ethics, and Digital Rights
• One of:
  • PHIL 5001 — Global Justice
  • PHIL 5002 — Ethics and Public Policy
  • PHIL 5010 — AI Ethics
• PHIL 5005 — Information Ethics

Machine Learning and Econometrics

• ECON 5140 — Applied Econometrics
• ECON 5210 — Machine Learning in Economics
• ECON 5220 — Computational Finance and Financial Econometrics

Network Analysis in the Social Sciences

• INSH 5301 — Introduction to Computational Statistics
• INSH 5302 — Information Design and Visual Analytics
• One of:
  • INSH 6304 — Modeling and Analyzing Social Networks
  • POLS 7334 — Social Networks

Statistical Methods in the Social Sciences

• INSH 5301 — Introduction to Computational Statistics
• INSH 7400 — Quantitative Analysis
• INSH 7500 — Advanced Quantitative Analysis

GPA requirements

• 32 total semester hours required Minimum 3.000 GPA required

Parsed from the catalog by NU Map; the structured machine copy is in this college's JSON for the 2027 catalog, under applied-quantitative-methods-and-social-analysis-ms-boston, and the official page is the authority.