Engineering Science MS: Artificial Intelligence Focus

This Engineering Sciences MS with a course focus on Artificial Intelligence (AI) is a multidisciplinary program designed to train students in the areas of machine learning, programming languages, deep learning algorithms, and advanced artificial neural networks that use predictive analytics to solve real-world problems. Students in this program take foundational courses in AI and can choose from elective concentrations like data analytics, computational linguistics and information retrieval, machine learning and computer vision, knowledge representation, and robotics.

Required Core (24 credits)

CSE 531LEC - Algorithms Anal & Dsgn 1 Credits: 3
CSE 546LEC - Reinforcement Learning Credits: 3
CSE 555LEC - Intro Pattern Recognition Credits: 3
CSE 574LEC - Intro Machine Learning Credits: 3
CSE 587LEC - Data Intensive Computing Credits: 3
EAS 501LEC - Introduction to Numerical Mathematics for Computing and Data Science Credits: 3
CSE 573LEC - Comp Vision & Image Proc Credits: 3
or
CSE 635LEC - NLP and Text Mining Credits: 3

Electives & Culminating Experience (6 credits)

Electives (3-6 credits)

Number of elective credits may vary depending on choice of culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours.

CE 551LEC - Computer-Aided Research in the Chemical and Materials Sciences Credits: 3
CSE 522LEC - Object Oriented Analysis, Design and Implementation Credits: 3
CSE 535LEC - Information Retrieval Credits: 3
CSE 563LEC - Knowledge Representation Credits: 3
CSE 567LEC - Computational Linguistics Credits: 3
CSE 568LEC - Robotics Algorithms Credits: 3
CSE 573LEC - Comp Vision & Image Proc Credits: 3
CSE 574LEC - Intro Machine Learning Credits: 3
CSE 601LEC - Data Mining and Bioinformatics Credits: 3
CSE 635LEC - NLP and Text Mining Credits: 3
CSE 676LEC - Deep Learning Credits: 3
EE 539LEC - Principal Information Theory and Coding Credits: 3
EE 559LEC - Special Topics Credits: 3
IE 535LEC - Human Cent Design for Interact Credits: 3
MAE 502LEC - Special Topics Credits: 3
MAE 527LEC - Special Topics Credits: 3
MAE 593LEC - Robotics I Credits: 3
MAE 600LEC - Advanced Topics Credits: 3
MAE 609LEC - High Perform Computing 1 Credits: 3

Culminating Experience:Exam or Project (0-3 credits)

EAS 563TUT - Artificial Intelligence Capstone Credits: 1 - 3

Total Credit Hours: 30

3.0 Degree GPA required

Program Learning Outcomes (PLOs)

1) Ability to demonstrate domain expertise with engineering methods and tools

2) Ability to develop relevant programming abilities

3) Ability to use basic engineering concepts flexibly in a variety of contexts.

4) Ability to apply domain-specific concepts and methods to solve problems in real-world contexts and will communicate these solutions effectively

5) Demonstrate an ability to conduct professional practice

SED Statement

This program is officially registered with the New York State Education Department (SED).