Academics

Syracuse University Online College of Engineering and Computer Science Curriculums

The Engineering@Syracuse programs require students to complete 30 total credits via live, online classes that enable them to interact with their faculty and peers face-to-face. To ensure that students are well prepared for the academic rigor of the program, there are two preparatory courses available.

Our preparatory courses are designed for students who do not have prior demonstrated academic and/or work experience in areas such as programming, discrete math and data structure, and other key areas. Students may be required to complete up to 6 credits of preparatory coursework before they progress into the core and elective courses for their selected program.

To learn more about courses and credits requirements, or to see sample course schedules, select your program of interest below:

M.S. in Computer Science

M.S. in Cybersecurity

M.S. in Computer Engineering

M.S. in Computer Science

The master’s in computer science program consists of four core courses (12 credits) that all students will take and six electives (18 credits) that students are able to choose on their own to customize their curriculum, totaling 30 credits. Please see below for the curriculum requirements. Each course is three credits. To clearly outline the possible courses you make take, view a sample course schedule.

Core Courses (12 Credits)

Students will take all four core courses.

• Structured Programming and Formal Methods
• Advanced Computer Architecture
• Design and Analysis of Algorithms
• Principles of Operating Systems

Electives (18 Credits)

Students will take six elective courses of their choice. They may choose from the following options:

• Object Oriented Programming C++
• Software Engineering
• Mobile Application Programming
• Fundamentals of Data and Knowledge Mining
• Machine Learning
• Object Oriented Design
• Software Modeling
• Computer Security
• Internet Security
• Introduction to Cryptography
• Assurance Foundations
• Biometrics

M.S. in Cybersecurity

The master’s in cybersecurity program consists of five core courses (15 credits), three technical electives (9 credits) and two elective options (6 credits) that students are able to choose on their own to customize their curriculum, totaling 30 credits. Please see below for the curriculum requirements. Each course is three credits. To clearly outline the possible courses you make take, view a sample course schedule.

Core Courses (15 Credits)

Students will take all five core courses.

• Computer Security
• Internet Security
• Assurance Foundations
• Design and Analysis of Algorithms
• Principles of Operating Systems

Technical Electives (9 Credits)

Students are required to take three technical elective courses.

• Machine Learning
• Introduction to Cryptography
• Biometrics

Electives (6 Credits)

Students have the option of two elective courses.

• Fundamentals of Data and Knowledge Mining
• Advanced Computer Architecture
• Mobile Application Programming
• Software Engineering
• Software Modeling
• Structured Programming and Formal Methods
• Object Oriented Design

M.S. in Computer Engineering

The master’s in computer engineering program consists of four core courses (12 credits) and six electives (18 credits) that students are able to choose on their own to customize their curriculum, totaling 30 credits. Please see below for the curriculum requirements. Each course is three credits. To clearly outline the possible courses you make take, view a sample course schedule.

Core Courses (12 credits)

Students will take all four core courses.

• Object Oriented Design
• Advanced Computer Architecture
• Advanced Data Structure and Algorithms
• Introduction to System-on-Chip Design

Electives (18 credits)

Students will take six elective courses of their choice. They may choose from the following options:

• Object Oriented Programming C++
• Software Engineering
• Mobile Application Programming
• Software Modeling
• Computer Security
• Internet Security
• Fundamentals of Data and Knowledge Mining
• Machine Learning
• Introduction to Cryptography
• Assurance Foundations
• Biometrics
• Principles of Operating Systems
• Structured Programming and Formal Methods