Machine Learning & Artificial intelligence Concentration

Machine learning & artificial intelligence is about far more than robots. Be a part of this far-reaching, rapid transformation.

With the expertise gained from the Machine Learning and Artificial Intelligence Concentration, students will stand out from the crowd and be prepared to find a rewarding career in data mining, robotics, natural language processing, computer vision and more.

PROGRAMMING HIGHLIGHTS

12 CREDIT HOUR CURRICULUM

CUTTING EDGE CURRICULUM WITH PRACTICAL APPLICATIONS

DOES NOT ADD TIME TO DEGREE

The Machine Learning and Artificial Intelligence Concentration includes the opportunity to study topics such as computer vision, natural language processing, robotics, machine learning, deep learning, and knowledge acquisition and representation.

AI and ML in Demand

Average pay for jobs requiring machine learning skills

North American Impact

Economic impact of AI on North America by 2030

Global Impact

Intelligence impact on global economy by 2030

FOUNDATION COURSES

To earn the Machine Learning and Artificial Intelligence Concentration, students will need to complete one of the following courses:
- CS 343(H) Artificial Intelligence (Honors)
- CS 363D (378H) Introduction to Data Mining (Honors)
* If both CS 343(H) Artificial Intelligence (Honors) and CS 363D (378H) Introduction to Data Mining (Honors) are taken, one may count as an elective.
CUTTING EDGE TOPICS

Students will also need to take three of the following elective classes:
- CS 342 Neural Networks
- CS 376 Computer Vision
- CS 378 Natural Language Processing
- CS 378 Practical Applications of Natural Language Processing
- CS 344M Autonomous Multiagent Systems
- CS 344R Robotics
- CS 371R Information Retrieval and Web Search
- Machine Learning & Artificial Intelligence Capstone

These courses may change and additional courses may be added in the future.