Skip to content
Northeastern University Graduate Programs Home

Curriculum: MPS in Applied AI Connect - Toronto

Connect Courses

Code Title Hours
AAI 5015 Mathematical Concepts 3
AAI 5025 Python 3 3
AAI 5035 Research Methods and Scientific Writing 3

Core Courses

Complete the following:

Code Title Hours
AAI 6600 Applied Artificial Intelligence 3
AAI 6610 Applied Machine Learning 3
AAI 6620 Applied Natural Language Processing 3
AAI 6630 Applied Computer Vision 3
Restricted Electives  6
Complete six semester hours from the following:
AAI 6640 Applied Deep Learning
AAI 6650 Recommender System
AAI 6655 Prompt Engineering
AAI 6665 Generative Artificial Intelligence
AAI 6740 Applied Reinforcement Learning
AAI 6790 Applied Quantum AI
AAI 6850 Applied Blockchain AI
AAI 6900 AI for Autonomous Systems
AAI 6983 Special Research Topics in AI
Capstone
AAI 6980 Integrated Experiential Capstone 4

Concentration or Electives Option

A concentration is not required. Students may complete the electives option in lieu of a concentration.

Optional Experiential Learning Opportunities

The College of Professional Studies encourages its students to incorporate optional experiential learning opportunities in their academic plans.

Code Title Hours
Co-op This option requires 1 additional semester hour of credit and tuition in addition to this program’s required credit hours.
INT 6200 Experiential Project Preparation 1
OP 6945 or COP 6946 or COP 6954 Co-op Work Experience—Full Time or Global Co-op Work Experience—Full Time or Co-op Work Experience—Half-Time 0
Integrative Experiential Learning This option substitutes for 3 semester hours of restricted elective credits in programs that require at least 3semester hours of restricted elective credits. If the student has already completed the program’s restricted electives or the program does not have an elective requirement, this option requires 3 additional hours of credit and tuition in addition to this program’s required credit hours.
INT 6943 Integrative Experiential Learning 3

Program Credit/GPA Requirements

43 total semester hours required

Minimum 3.000 GPA required

AI for 3D Imaging Concentration

Complete the following:

Code Title Hours
AAI 6710 Graph Signal Processing 3
AAI 6720 Graph Neural Networks 3
AAI 6730 Deep Learning for 3D Point Cloud Analysis 3
Complete one of the following: 3
AAI 6640 Applied Deep Learning
AAI 6650 Recommender System
AAI 6665 Generative Artificial Intelligence
AAI 6740 Applied Reinforcement Learning
AAI 6790 Applied Quantum AI
AAI 6850 Applied Blockchain AI
AAI 6900 AI for Autonomous Systems

Conversational AI and Chatbots Concentration

Complete the following:

Code Title Hours
AAI 6660 Chatbot Architecture 3
AAI 6670 Chatbot Application 3
Complete two of the following 6
AAI 6640 Applied Deep Learning
AAI 6650 Recommender System
AAI 6655 Prompt Engineering
AAI 6665 Generative Artificial Intelligence
AAI 6740 Applied Reinforcement Learning
AAI 6790 Applied Quantum AI
AAI 6850 Applied Blockchain AI
AAI 6900 AI for Autonomous Systems

Machine Learning for Cybersecurity Concentration

Complete the following:

Code Title Hours
AAI 6680 AI for Cybersecurity 3
AAI 6690 Machine Learning for Cyberdetection 3
Complete two of the following: 6
AAI 6640 Applied Deep Learning
AAI 6650 Recommender System
AAI 6665 Generative Artificial Intelligence
AAI 6740 Applied Reinforcement Learning
AAI 6790 Applied Quantum AI
AAI 6850 Applied Blockchain AI
AAI 6900 AI for Autonomous Systems

Electives Option

Complete any College of Professional Studies graduate-level courses, unused courses in this program, or acombination of both in lieu of a concentration to meet total program required semester hours.

* Please note: this curriculum is for marketing purposes only, and is subject to change.