Data Architecture and Management, MS (Toronto)
Graduatemajor2027 catalogEngineeringToronto32 semester hours totalverified parse
Official catalog page for this program
Core Requirements
From the catalog
The College of Engineering requires that students must earn a grade of C or higher in all required core courses to fulfill degree requirements. Prerequisite conditions of individual core courses may require a higher minimum grade.
- DAMG 6105 — Data Science Engineering with Python
- DAMG 6210 — Data Management and Database Design
- DAMG 7250 — Big Data Architecture and Governance
- DAMG 7370 — Designing Advanced Data Architectures for Business Intelligence
Project Option
From the catalog
Complete 12 semester hours from the electives course list below.
- DAMG 7945 — Master's Project
Thesis Option
From the catalog
Complete 8 semester hours from the electives 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.
Electives
From the catalog
Complete the remaining minimum program required semester hours from the following:
- One of:
- CSYE 6200 — Concepts of Object-Oriented Design
- CSYE 6205 — Concepts of Object-Oriented Design with C++
- CSYE 6220 — Enterprise Software Design
- CSYE 6225 — Network Structures and Cloud Computing
- CSYE 6230 — Operating Systems
- CSYE 6255 — Software Testing for Engineers
- CSYE 6305 — Introduction to Quantum Computing with Applications
- CSYE 7105 — High-Performance Parallel Machine Learning and AI
- CSYE 7125 — Advanced Cloud Computing
- CSYE 7200 — Big-Data System Engineering Using Scala
- CSYE 7215 — Foundations of Parallel, Concurrent, and Multithreaded Programming
- CSYE 7220 — Deployment and Operation of Software Applications
- CSYE 7370 — Deep Learning and Reinforcement Learning in Game Engineering
- CSYE 7230 — Software Engineering
- CSYE 7270 — Building Virtual Environments
- CSYE 7280 — User Experience Design and Testing
- CSYE 7374 — Special Topics in Computer Systems Engineering
- CSYE 7380 — Theory and Practical Applications of AI Generative Modeling
- CSYE 7470 — Advanced Game Analytics
- CSYE 7976 — Directed Study
- DAMG 7245 — Big-Data Systems and Intelligence Analytics
- DAMG 7275 — Advanced Database Management Systems
- DAMG 7350 — Systems and Cybersecurity Fundamentals
- DAMG 7374 — Special Topics in Data Architecture and Management
- DAMG 7976 — Directed Study
- All of:
- INFO 6105 — Data Science Engineering Methods and Tools
- INFO 6150 — Web Design and User Experience Engineering
- INFO 6205 — Program Structure and Algorithms
- INFO 6215 — Business Analysis and Information Engineering
- All of:
- INFO 7225 — Accounting and Budgetary Systems for Engineers
- INFO 7245 — Agile Software Development
- INFO 7250 — Engineering of Big-Data Systems
- INFO 7255 — Advanced Big-Data Applications and Indexing Techniques
- INFO 7260 — Business Process Engineering
- INFO 7374 — Special Topics in Information Systems
- INFO 7375 — Special Topics in Artificial Intelligence Engineering and Applications
- INFO 7385 — Managerial Communications for Engineers
- INFO 7390 — Advances in Data Sciences and Architecture
- INFO 7500 — Cryptocurrency and Smart Contract Engineering
Optional Co-op Experience
From the catalog
Complete the following (students must complete ENCP 6000 to qualify for co-op experience):
- ENCP 6000 — Career Management for Engineers
- One of:
GPA requirements
- 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-architecture-and-management-ms-toronto, and the official page is the authority.