Skip to main content

Innovate, Code, and Create Solutions

Become a leader in one of the fastest-growing fields. The Computer Science BS Degree at Fredonia equips you with the skills to design software, solve real-world problems, and harness the power of artificial intelligence, computer graphics, and more. Whether you're aiming for a career in software development or scientific computing, this program prepares you to excel.

What You'll Gain:

  • Software Design – Learn to build efficient, reliable software from the ground up.
  • Artificial Intelligence – Master AI techniques to solve complex, data-driven problems.
  • Computer Vision – Explore how machines interpret visual information to interact with the world.
  • Scientific Computing – Use computational techniques to solve challenging scientific problems.
  • Computer Graphics – Create visual simulations and graphical interfaces for real-world applications.

Career Opportunities for Computer Science

  • Computer Scientist
  • Programmer
  • Information security analyst
  • Web developer
  • Network support specialist
  • Computer science teacher
  • Software developer
Fredonia degree map icon

What does a 4-year degree look like?

Fredonia catalog seal icon

What are all the required and elective courses offered to obtain this degree?

CSIT 441 Analysis and Design of Algorithms

Introduction to design and analysis of algorithms: time and space complexity, verification of correctness; advanced algorithm design strategies: iterative, divide and conquer, greedy method, dynamic programming, branch and bound, etc.; specific examples drawn from sorting, searching, string searching, graph problems, matrices, polynomial arithmetic, cryptography; hard problems and approximation algorithms: Knapsack, bin packing, and graph coloring problems, etc.

CSIT 461 Introduction to AI and Knowledge Engineering

Overview of artificial intelligence tools and techniques; searching methods; applications of AI: game playing, expert systems and knowledge-based systems; components of a knowledge-based system; knowledge acquisition, representation, and formalization; numerical and symbolic processing; information theoretic and decision theoretic algorithms; inference engine; machine learning; reasoning and explanation; basic concepts and major issues of knowledge engineering; current tools and techniques for analysis, design, development of the knowledge based systems; applications in robotics, medical diagnosis, smart decision systems, etc.

CSIT 463 Introduction to Digital Image Processing and Computer Vision

Introduction to digital image and signal processing, computer vision and pattern recognition; image acquisition, registry and display; elementary image processing algorithms: sampling, preprocessing, smoothing, segmentation, and sharpening; transformations; filtering; image coding and restoration; analog and digital images and image processing systems; feature extraction and selection; elementary pattern classification and vision systems; robotics; machine learning.

Latest Articles

Computer Science in the News

Computer Science

Workshop to explore Raspberry Pi and its applications

The Department of Computer and Information Sciences will hold a workshop on Raspberry Pi single...

Computer Science

Computer Science graduates ‘talk shop,’ give career advice to students

SUNY Fredonia Computer/Information Science graduates met informally with current Computer Science...

Visual Arts and New Media

‘Midnight Oil’ senior show winners announced

Award winners in the Spring 2024 senior art show "Midnight Oil," recently on display in the Marion...

Why Computer Science at Fredonia?

3 students examine a computer screen in the computer lab in Fenton Hall

Facilities

State-of-the-art computer lab gives students access to the most up-to-date computer programming available. The lab is also equipped with several servers that enable students to gain experience as system administrators.

a student looks at a screen during a computer science competition

Activities

Student-run Computer and Information Sciences and Video Game Clubs; students compete in several student programming contests, such as the Association of Computing Machinery student collegiate competitions and the CCSCNE conference student competitions.

a close up of a circuit board

Student success

Fredonia graduates have been hired immediately after commencement at high-profile companies like General Dynamics, Raytheon, Google, Lockheed Martin, IBM, and Paychex.

Latest Articles

Program News

Computer and Information Sciences

Machine learning is focus in department’s monthly seminar

The presentation, “Exploring Theories Behind Machine Learning: Computational Geometry and Data...

Fredonia College Foundation

Multidisciplinary project leads to exhibit this weekend

A project funded through the Fredonia College Foundation speaks to the intersection of science and...

Vitae

Haider's article published in Springer Computing Journal

An article by Associate Professor Syed Haider that outlines traffic congestion mitigation has been...

Take the next step

Request Info Visit Apply