MASTER OF SCIENCE IN ARTIFICIAL INTELLIGENCE

MS in Artificial Intelligence

Dr. Dan Coffman, Graduate Coordinator	Phone (office): (203) 837-8746
Higgins Hall 039B	coffmand@wcsu.edu

Faculty:	D. Coffman; S. Band; X. Wu

Program Overview and Mission
The Master of Science in Artificial Intelligence provides students with a broad and deep knowledge of both practical and theoretical aspects of this modern discipline. Students may complete the program’s 10 courses, totaling 33 credit hours, in one year. After acquiring a solid mathematical and computational foundation in artificial intelligence, students will complete advanced courses in neural networks and deep learning, reinforcement learning and autonomous systems. They will learn the latest techniques in natural language processing, and the also-important ethical and safety considerations of artificial intelligence. Upon successful completion of the first 30 credits of course work, students will either write an original thesis, or complete a final project or approved internship.
Program Learning Goals and Outcomes

Identify problems to which artificial intelligence techniques are applicable.
Understand a wide variety of learning algorithms.
Implement and evaluate neural network models generated from data.
Apply contemporary techniques for deep machine learning, reinforcement learning, natural language processing and algorithmic robotics, judge applicability of the techniques.
Participate in the design and implementation of systems that act intelligently and learn from experience.
Demonstrate an understanding and judgement of the philosophical, humanitarian, ethical and safety aspects of artificial intelligence and apply these aspects when making design and implementation decisions.

Admission Requirements

Successful completion of an undergraduate degree. The following courses from the WCSU course catalog or their equivalents will be required as pre-requisites:

MAT 141: Foundational Discrete Mathematics
MAT 181: Calculus I
MAT 182: Calculus II
MAT 207: Proofs or MAT 304: Discrete Mathematics for Computer Science
MAT 222: Introduction to Statistics
MAT 272: Linear Algebra
CS 140: Introduction to Programming
CS 172: Intermediate Java Programming or CS 170: Language C++
CS 250: Introduction to Data Structures, Algorithms, and Complexity, or CS 221:

Object Oriented Programing and Data Structures together with CS 315: Design

and Analysis of Algorithms

One of CS 305, 350, or 360, these all discuss software engineering
CS 285: Artificial Intelligence

The program welcomes students from diverse educational backgrounds. Prospective students should submit all undergraduate transcripts and a 500 word essay explaining why they would like to join the program. Students can enroll full-time or part-time.

All admission materials should be forwarded to the Office of Graduate Admissions, Western Connecticut State university, 181 White Street, Danbury CT 06897 or sent as an attachment to graduateadmissions@wcsu.edu .

To complete an application: Graduate Application

International Students: Instructions for International Students

Master of Science in Artificial Intelligence – Sample 1-year plan

Semester 1		16 SH	Rotation
MAT 531	Multivariable Mathematics for Machine Learning	3 SH	Fall Semester
MAT 532	Probability and Statistics for Machine Learning	3 SH	Fall Semester
CS 510	Foundations of Artificial Intelligence	3 SH	Fall Semester
CS 525	Neutral Networks and Depp Learning	4 SH	Fall Semester
PHI 527	Philosophy, Ethics, and Safety of Artificial Intelligence	3 SH	Fall Semester
Semester 2		14 SH
MAT 533	Analysis and Optimization	3 SH	Spring Semester
CS 534	Reinforcement Learning	4 SH	Spring Semester
CS 533	Natural Language Processing	4 SH	Spring Semester
CS 532	Autonomous Systems	3 SH	Spring Semester
Semester 2 or Summer or Semester 3		3 SH
CS 5XX	Final Project or Thesis or Approved Internship	3 SH	As Needed
TOTAL SH:	33 SH