Data Analytics Engineering, MS (Seattle)
Graduatemajor2027 catalogEngineeringSeattle32 semester hours totalverified parse
Official catalog page for this program
Core Requirements
- IE 6400 — Foundations for Data Analytics Engineering
- IE 6600 — Computation and Visualization for Analytics
- One of:
- IE 7275 — Machine Learning and Data Analytics
- One of:
Coursework Option
12 semester hours.
From the catalog
Complete 12 semester hours from the elective course list below.
Project Option
From the catalog
Complete 8 semester hours from the elective course list below.*
- ME 7945 — Master’s Project
Thesis Option 1
From the catalog
Complete 4 semester hours from the elective course list below.
In addition to completing the thesis course, students must successfully complete the thesis submission process, including securing committee and Graduate School of Engineering signatures and submission of an electronic copy of their MS thesis to ProQuest.
Optional Co-op Experience
From the catalog
Complete the following. Students must complete ENCP 6100 to qualify for co-op experience:
- ENCP 6100 — Introduction to Cooperative Education
- One of:
Elective Course List
From the catalog
Any course in the following list will serve as an elective course, provided the course is offered and the student satisfied prerequisites and program requirements.
- One of:
- IE 5374 — Special Topics in Industrial Engineering
- IE 5400 — Healthcare Systems Modeling and Analysis
- IE 5630 — Biosensor and Human Behavior Measurement
- IE 6300 — Manufacturing Systems Design
- IE 7200 — Supply Chain Engineering
- IE 7215 — Simulation Analysis
- IE 7280 — Statistical Methods in Engineering
- IE 7285 — Statistical Quality Control
- IE 7290 — Reliability Analysis and Risk Assessment
- IE 7300 — Statistical Learning for Engineering
- IE 7374 — Special Topics in Industrial Engineering
- IE 7500 — Applied Natural Language Processing in Engineering
- OR 6205 — Deterministic Operations Research
- OR 7230 — Probabilistic Operation Research
- OR 7245 — Network Analysis and Advanced Optimization
- OR 7310 — Logistics, Warehousing, and Scheduling
GPA requirements
- 32 total semester hours required (33 with optional co-op) 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 data-analytics-engineering-ms-seattle, and the official page is the authority.