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.
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 5XX | Multivariable Mathematics for Machine Learning | 3 SH | Fall Semester |
| MAT 5XX | Probability and Statistics for Machine Learning | 3 SH | Fall Semester |
| CS 5XX | Foundations of Artificial Intelligence | 3 SH | Fall Semester |
| CS 5XX | Neutral Networks and Depp Learning | 4 SH | Fall Semester |
| PHI/HUM 5XX | Philosophy, Ethics, and Safety of Artificial Intelligence | 3 SH | Fall Semester |
| Semester 2 | 14 SH | ||
| MAT 5XX | Analysis and Optimization | 3 SH | Spring Semester |
| CS 5XX | Reinforcement Learning | 4 SH | Spring Semester |
| CS 5XX | Natural Language Processing | 4 SH | Spring Semester |
| CS 5XX | Autonomous Systems | 3 SH | Spring Semester |
| Semester 2 or Summer or Semester 3 |
3 SH | ||
| CS 5 | Final Project or Thesis or Approved Internship | 3 SH | As Needed |
| TOTAL SH: | 33 SH |