Electrical and Computer Engineering Rowan University

Overview

The Electrical and Computer Engineering programme at Rowan University provides engineering professionals with the advanced technical expertise required to excel in highly specialised industries. This Master of Science degree emphasises an applied, hands-on approach to learning, ensuring that every course includes a practical laboratory component.

Students have the flexibility to tailor their academic journey by selecting from three distinct pathways: a thesis track, a coursework track, or a project-based option. Those who choose the thesis track may also become eligible for Research Fellowships, allowing for deeper involvement in academic investigation and innovation.

The curriculum is designed to build a robust foundation in both theoretical and practical engineering principles.

Why Electrical and Computer Engineering at Rowan University?

Rowan University is recognised for its progressive engineering education, where faculty and students frequently receive international acclaim for their research and academic excellence. The institution focuses on providing real-world skills through a curriculum that is both rigorous and adaptable to industry changes.

A distinctive feature of this programme is that every single course is a lab course, ensuring that students gain direct experience with the tools and technologies they will use in their careers. This commitment to experiential learning sets the institution apart as a leader in engineering training.

The department also offers various specialisations and focus areas, allowing students to concentrate on specific topics within the electrical and computer industry. This targeted approach helps graduates distinguish themselves in a competitive global job market.

Tuition Fee Breakdown

• International fee: USD 877 per credit
• National fee: USD 877 per credit
• Local fee: USD 877 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum requires 30 semester hours, including core foundations and specialised electives. Modules may include:

• Engineering Applications of Analysis
• Engineering Applications of Computers
• Emerging Topics in Computational Intelligence, Machine Learning and Data Mining
• Digital Signal Processing
• Digital Image Processing
• Digital Speech Processing
• Theory And Engineering Applications Of Wavelets
• Machine Learning
• Embedded System Design
• Reinforcement Learning
• Modern Neural Networks
• Systems Engineering
• Advanced Topics In Systems, Devices And Algorithms In Bioinformatics
• Advanced Smart Grid
• Instrumentation
• Finite Element Analysis
• Engineering Optimization
• Experiential Engineering Education
• Masters Research

Careers with Electrical and Computer Engineering

Graduates of this programme are well-equipped to advance their careers into senior technical and leadership roles within the engineering sector. The hands-on nature of the training ensures that alumni possess the practical skills sought by top-tier global employers.

The degree prepares individuals for diverse opportunities in fields such as telecommunications, robotics, power systems, and software development. By mastering advanced topics like machine learning and embedded systems, graduates can pursue roles in cutting-edge technological research and development.