Data Analytics Engineering, MS (Vancouver)

Graduatemajor2027 catalogEngineeringVancouver32 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
• IE 6700 — Data Management for Analytics
• IE 7275 — Machine Learning and Data Analytics
• IE 7615 — Deep Learning for AI

Project Option

From the catalog

Complete 8 semester hours from the elective course list below.

• IE 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.

• IE 7945 — Master’s Project
• IE 7990 — Thesis

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:
  • ENCP 6964 — Co-op Work Experience
  • ENCP 6954 — Co-op Work Experience - Half-Time
  • ENCP 6955 — Co-op Work Experience Abroad - Half-Time
  • ENCP 6965 — Co-op Work Experience Abroad

Elective Course List

From the catalog

Some elective options require completion of prerequisites outside of this program.

• One of:
  • CS 5100 — Foundations of Artificial Intelligence
  • CS 5180 — Reinforcement Learning and Sequential Decision Making
  • CS 5330 — Pattern Recognition and Computer Vision
  • CS 6240 — Large-Scale Parallel Data Processing
  • CS 6620 — Fundamentals of Cloud Computing
  • CS 7240 — Principles of Scalable Data Management: Theory, Algorithms, and Database Systems
  • DADS 7305 — Machine Learning Operations
  • DADS 7650 — Deep Generative Methods
  • EECE 5645 — Parallel Processing for Data Analytics
  • EECE 7205 — Fundamentals of Computer Engineering
  • EMGT 5220 — Engineering Project Management
  • EMGT 6225 — Economic Decision Making
  • EMGT 6305 — Financial Management for Engineers
  • IE 5137 — Computational Modeling in Industrial Engineering
  • IE 5200 — Mathematics for Machine Learning
  • IE 5374 — Special Topics in Industrial Engineering
  • IE 5390 — Structured Data Analytics for Industrial Engineering
  • IE 5400 — Healthcare Systems Modeling and Analysis
  • IE 5630 — Biosensor and Human Behavior Measurement
  • IE 5640 — Data Mining for Engineering Applications
  • IE 6300 — Manufacturing Systems Design
  • IE 6750 — Data Warehousing and Integration
  • 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 7295 — Applied Reinforcement Learning in Engineering
  • IE 7300 — Statistical Learning for Engineering
  • IE 7374 — Special Topics in Industrial Engineering
  • IE 7500 — Applied Natural Language Processing in Engineering
  • INFO 6215 — Business Analysis and Information Engineering
  • INFO 7260 — Business Process Engineering
  • ME 6200 — Mathematical Methods for Mechanical Engineers 1
  • 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

Substitutions

Stated by the catalog on this program's requirements:

• A thesis is required for all students who receive financial support from the university in the form of a research, teaching, or tuition assistantship. The thesis topic should cover one or more of the areas from statistics, mathematics, optimization, data mining, machine learning, database design, Big Data, visualization tools, or forecasting methods. The thesis should train students for research in data and operations analytics and/or prepare them for a doctoral program.

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-vancouver, and the official page is the authority.