Program Overview
Syracuse University's online Master of Science in Computer Engineering program empowers working professionals and recent graduates to solve complex technical problems in the industry. The program covers fundamental concepts and emerging trends in artificial intelligence, data mining, assured systems, and computational complexity. With a focus on critical thinking, analytical skills, and real-world applications, graduates are prepared for leadership roles in computer engineering and related fields.
Program Outline
Degree Overview:
Overview:
The online Master of Science in Computer Engineering program from Syracuse University is an immersive and interactive experience that prepares graduates to solve challenging technical problems in the ever-changing computer engineering industry. Designed for working professionals and recent graduates, the program offers a rigorous curriculum that covers fundamental concepts and emerging trends in the field.
Objectives:
- Develop critical-thinking expertise to solve complex technical problems in computer engineering
- Gain a comprehensive understanding of the latest technologies and methodologies in computer engineering
- Enhance analytical and problem-solving skills
- Acquire advanced knowledge and skills in specialized areas of computer engineering, such as artificial intelligence, data mining, and cybersecurity
Outline:
Program Content and Structure:
The program curriculum is designed around four core areas:
- Artificial Intelligence: Covers machine learning, deep learning, and natural language processing
- Data Mining Methodologies: Explores data analytics, big data management, and data visualization
- Assured Systems: Focuses on system reliability, security, and resilience
- Computational Complexity, Formal Methods, and Programming Language Semantics: Examines theoretical foundations of computer science and software engineering
Course Schedule:
The program consists of 30 credit hours, typically completed in 15 months. Courses are offered in an online format, with live, online classes led by expert faculty.
Assessment:
Assessment Methods:
- Assignments and projects
- Quizzes and exams
- Class participation
- Research papers
- Presentations
Assessment Criteria:
- Understanding of core concepts and principles
- Analytical and problem-solving skills
- Communication and presentation skills
- Research and critical thinking abilities
Teaching:
Teaching Methods:
- Interactive lectures and discussions
- Hands-on projects and assignments
- Collaborative group work
- Research-based learning
Faculty:
- Experienced and renowned faculty with expertise in computer engineering and related fields
- Active researchers who bring real-world knowledge and industry experience to the classroom
Unique Approaches:
- Industry partnerships and guest lectures provide students with valuable insights and networking opportunities
- Capstone project allows students to apply their knowledge and skills to a real-world problem
Careers:
Potential Career Paths:
- Computer Engineer
- Software Engineer
- Data Scientist
- Cybersecurity Analyst
- Systems Engineer
Opportunities and Outcomes:
- Graduates are equipped to take on leadership roles in the computer engineering industry
- Strong demand for computer engineers in various sectors, including technology, healthcare, finance, and manufacturing
- Excellent job prospects and earning potential