DAT690Capstone in Data Analytics

Course Prerequisites ToolSNHU DAT690 has 1 direct prerequisite, with 4 courses in its complete prerequisite tree.

Graduate · 3 credits

This capstone course is the culminating experience for the M.S. in Data Analytics program. The aim of the capstone is to assess students' ability to synthesize and integrate the knowledge and skills they have developed throughout their coursework, rather than introducing new concepts. This course is structured to support student success in fulfilling program requirements.

Prerequisite Tree

DAT650 — Advanced Data Analytics
- DAT510 — Foundations of Data
- DAT520 — Decision Methods and Modeling
  - DAT510 — Foundations of Data
- DAT640 — Predictive Analytics
  - DAT510 — Foundations of Data
  - DAT520 — Decision Methods and Modeling
    - DAT510 — Foundations of Data

Interactive Prerequisite Graph

Explore the prerequisite relationships visually. The graph below supplements the crawlable list above.

DAT690

Capstone in Data Analytics

DAT650

Advanced Data Analytics

DAT510

Foundations of Data

DAT520

Decision Methods and Modeling

DAT640

Predictive Analytics

React Flow

Unofficial — For Informational Purposes Only

This site is unofficial and is intended for informational purposes only. Course requirements, transfer evaluations, catalog rules, and program requirements can change. Always confirm your academic plan with your SNHU advisor for official guidance.