Electrical Engineering (BS): Artificial Intelligence and Machine Learning Concentration

4 Years On Campus Bachelors Program

North Carolina State University Raleigh

Program Overview

The Electrical Engineering (BS) program with a concentration in Artificial Intelligence and Machine Learning at North Carolina State University Raleigh is designed for students who are passionate about technology and innovation. This program combines a solid foundation in electrical engineering principles with specialized knowledge in AI and machine learning, preparing graduates for exciting careers in a rapidly evolving field.

Curriculum Structure:

In the first year, students will dive into the fundamentals of engineering with courses like "Introduction to Electrical Engineering" and "Calculus I." These foundational courses are essential for building the analytical skills needed to tackle complex engineering problems and set the stage for more advanced topics in subsequent years.

During the second year, students will expand their knowledge with courses such as "Circuit Analysis" and "Digital Logic Design." This year emphasizes hands-on learning and practical applications, allowing students to engage in projects that enhance their understanding of electronic systems and digital technologies.

In the third year, the focus shifts to more specialized topics, including "Signals and Systems" and "Machine Learning." Students will explore the principles of signal processing and begin to apply machine learning techniques to real-world problems, gaining valuable experience in data analysis and algorithm development.

In the final year, students will take advanced courses like "Artificial Intelligence" and "Deep Learning," where they will delve deeper into cutting-edge technologies. This year culminates in a capstone project that allows students to apply their knowledge and skills to solve complex engineering challenges, preparing them for the workforce or further studies.

Focus Areas: Artificial Intelligence, Machine Learning, Data Analysis, Signal Processing, Digital Systems

Learning Outcomes: Proficiency in electrical engineering principles, expertise in AI and machine learning applications, ability to design and implement complex systems, and strong problem-solving skills.

Professional Alignment (Accreditation): The program is accredited by the Accreditation Board for Engineering and Technology (ABET), ensuring that it meets high standards of quality and relevance in the engineering field.

Reputation (Employability Rankings): NC State consistently ranks highly in employability, with graduates recognized for their strong technical skills and readiness for the workforce. According to QS World University Rankings, NC State is among the top universities for engineering and technology.

Experiential Learning (Research, Projects, Internships etc.)

At North Carolina State University, the Electrical Engineering (BS) program with a concentration in Artificial Intelligence and Machine Learning offers students a unique opportunity to gain practical skills through hands-on experiences. The program is designed to bridge the gap between theoretical knowledge and real-world application, ensuring that graduates are well-prepared for the demands of the industry. Students have access to state-of-the-art facilities and cutting-edge tools that enhance their learning experience and foster innovation.

Here are some key aspects of experiential learning within the program:

- Advanced Laboratories: Students can work in specialized labs such as the Electromagnetics and RF Lab, the Microelectronics Lab, and the Robotics Lab, where they can engage in hands-on projects and experiments.

- Research Opportunities: The program encourages participation in research projects, allowing students to collaborate with faculty on groundbreaking work in AI and machine learning. This includes access to the NC State AI Institute, which focuses on advancing AI technologies.

- Internships and Co-ops: The program has strong ties with industry partners, providing students with internship and co-op opportunities that offer real-world experience and networking possibilities.

- Group Projects: Collaborative projects are a key component of the curriculum, where students work in teams to solve complex engineering problems, simulating a professional work environment.

- Software and Tools: Students gain proficiency in industry-standard software such as MATLAB, Python, and TensorFlow, which are essential for developing AI and machine learning applications.

- Field Trips and Industry Visits: The program includes field trips to local tech companies and research facilities, giving students insight into the latest industry practices and technologies.

- Libraries and Resources: The D.H. Hill Jr. Library and the Engineering Library provide extensive resources, including access to technical journals, databases, and study spaces tailored for engineering students.

- Innovation and Entrepreneurship: The NC State Entrepreneurship Initiative offers resources and support for students interested in launching their own tech startups or projects.

Progression & Future Opportunities

Choosing to pursue a Bachelor of Science in Electrical Engineering with a concentration in Artificial Intelligence and Machine Learning at North Carolina State University (NCSU) opens up a world of exciting career opportunities. Graduates from this program are well-prepared for roles such as Machine Learning Engineer, Data Scientist, Robotics Engineer, and AI Research Scientist. The demand for skilled professionals in these fields is rapidly growing, making this an excellent choice for your future.

Here’s what you can expect in terms of progression and opportunities:

- University Services: NCSU offers robust career services, including resume workshops, interview preparation, and job fairs specifically tailored for engineering students. The Engineering Career Services team connects students with potential employers and provides resources for internships and co-op programs.

- Employment Stats and Salary Figures: According to recent data, graduates from NCSU's College of Engineering have a high employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for electrical engineering graduates is around $75,000, with many positions in AI and machine learning offering even higher compensation.

- University–Industry Partnerships: NCSU has established partnerships with leading tech companies such as IBM, Cisco, and Google, providing students with unique internship opportunities and real-world project experiences that enhance their learning and employability.

- Long-term Accreditation Value: The program is accredited by the Accreditation Board for Engineering and Technology (ABET), ensuring that your degree meets the highest standards of quality and is recognized by employers worldwide.

- Graduation Outcomes: Alumni from this program have gone on to work at top-tier companies and research institutions, contributing to groundbreaking advancements in technology and innovation.

Further Academic Progression: After completing your degree, you have the option to further your studies through NCSU’s graduate programs. You could pursue a Master’s degree in Electrical Engineering, specializing further in areas like Artificial Intelligence, Robotics, or Data Analytics. Additionally, NCSU offers a Ph.D. program for those interested in research and academic careers, allowing you to contribute to the field at a higher level and explore cutting-edge technologies.