About This Program

The Master of Science in Computer Science program provides a comprehensive curriculum that covers a wide range of computer science topics, including software engineering, data science and cybersecurity. With a focus on research and real-world experience, you will be well prepared to tackle complex tech challenges and advance your career. Read more...

Contact Information

• Hassan Peyravi | gradinfo@cs.kent.edu | 330-672-9047

• Connect with an Admissions Counselor: U.S. Student | International Student

Program Delivery

• Delivery:
  • In person
• Location:
  • Kent Campus

For more information about graduate admissions, visit the graduate admission website. For more information on international admissions, visit the international admission website.

Admission Requirements

Application Deadlines

• Fall Semester
  • Application deadline: June 15
• Spring Semester
  • Application deadline: November 1
• Summer Term
  • Application deadline: April 1

Applications submitted after these deadlines will be considered on a space-available basis.

Program Requirements

Major Requirements

Additional Requirements for Students Not Declaring a Concentration

Course List

Code	Title	Credit Hours
Major Requirements
Computer Science (CS) Electives		12
Minimum Total Credit Hours:		12

Computational Data Science Concentration Requirements

Course List

Code	Title	Credit Hours
Concentration Requirements
Concentration Electives, choose from the following:		12
CS 54001	COMPUTER SCIENCE III - PROGRAMMING PATTERNS
CS 54201	ARTIFICIAL INTELLIGENCE
CS 54202	MACHINE LEARNING AND DEEP LEARNING
CS 63005	ADVANCED DATABASE SYSTEMS DESIGN
CS 63015	DATA MINING TECHNIQUES
CS 63016	BIG DATA ANALYTICS
CS 63017	BIG DATA MANAGEMENT
CS 63018	PROBABILISTIC DATA MANAGEMENT
Minimum Total Credit Hours:		12

Computer Engineering Concentration Requirements

Course List

Code	Title	Credit Hours
Concentration Requirements
Concentration Electives, choose from the following:		12
CS 53301	SOFTWARE DEVELOPMENT FOR ROBOTICS
CS 53302	ALGORITHMIC ROBOTICS
CS 53303	INTERNET OF THINGS
CS 53305	ADVANCED DIGITAL DESIGN
CS 53334	HUMAN-ROBOT INTERACTION
CS 63201	ADVANCED OPERATING SYSTEMS
CS 63304	CLUSTER COMPUTING
CS 63305	MULTICORE COMPUTING
CS 63306	EMBEDDED COMPUTING
CS 65101	ADVANCED COMPUTER ARCHITECTURE
CS 65202	ADVANCED COMMUNICATION NETWORKS
CS 65203	WIRELESS AND MOBILE COMMUNICATION NETWORKS
Minimum Total Credit Hours:		12

Computer Security Concentration Requirements

Course List

Code	Title	Credit Hours
Concentration Requirements
Concentration Electives, choose from the following:		12
CS 53202	SYSTEMS ADMINISTRATION
CS 53203	SYSTEMS PROGRAMMING
CS 55203	COMPUTER NETWORK SECURITY
CS 57205	INFORMATION SECURITY
CS 57206	DATA SECURITY AND PRIVACY
CS 57207	DIGITAL FORENSICS
CS 57221	INTRODUCTION TO CRYPTOLOGY
Minimum Total Credit Hours:		12

¹

Courses taken for the core cannot be counted again as an elective or concentration course. The list of courses offered each semester, including department-approved special topics, is available in the department's graduate office.

²

Students may complete a capstone-related elective course in place of an internship with approval from the graduate coordinator.

³

Students selecting the thesis option must form a master's thesis committee, which will include the advisor and at least two other graduate faculty members. The thesis topic and committee must be approved by the advisor and graduate coordinator. The final version of the thesis must be approved by the advisor, thesis committee and graduate coordinator.

Graduation Requirements

Graduation Requirements Summary

Minimum Major GPA	Minimum Overall GPA
-	3.000

• No more than one-half of a graduate student’s coursework may be taken in 50000-level courses.
• Grades below C are not counted toward completion of requirements for the degree.

• Maximum 12 credit hours of 50000-level courses may be applied toward the degree.

Program Learning Outcomes

Graduates of this program will be able to:

1. Demonstrate breadth-of-knowledge and understanding of essential facts, concepts, principles and theories relating to advanced topics in computer science.
2. Conduct literature searches, comprehend advanced research materials and uncover connections between related work and critical evaluation and synthesis.
3. Perform research, discovery and integration by applying advanced knowledge of computer science.

Full Description

The Master of Science degree in Computer Science provides students with an educational and research environment to develop career paths through necessary training with emerging technologies. Graduates have the technical knowledge and skills necessary for success within the information and high technology industries.

The M.S. degree in Computer Science has two culminating options: thesis or non-thesis. Students planning to pursue a Ph.D. degree an/or academic research should select the thesis option. Students planning to pursue applied research and development in industry may select the non-thesis option. The thesis option requires original research and a written thesis. The non-thesis option requires a capstone project and an optional industrial internship.

The Computer Science major includes the following optional concentrations:

• The Computational Data Science concentration prepares students to process big data. In a spectrum of real-world applications, the collected data (from such sources as mobile devices, GPS, sensor/RFID networks, Internet, social media, etc.) is so large and complex, the traditional data processing tools cannot efficiently and effectively handle it. This concentration focuses on algorithms development, machine learning, computation techniques, network and computing infrastructure and software.
• The Computer Engineering concentration prepares students to meet the need of computer engineering professionals in the industry for designing and managing emerging smart devices and computer-integrated physical systems with programmable intelligence. Students learn the hardware-software co-design principles and theory, architecture of the associated software and hardware, devices and sensors communication protocols and the interfaces to effectively design, build and evolve such smart devices and computer-driven intelligent physical systems.
• The Computer Security concentration exposes students to a wide range of topics on the security of computer systems. Students study the vulnerabilities in software and networks and develop algorithms and software to protect data, using digital encryption coding, protected databases and protected computer networking techniques.

Students opting to not pursue a concentration will create a 12-credit hour individualized plan of study with their advisor.