Computer Engineering, Machine Learning Concentration, B.S.CP.E.

4 Years On Campus Bachelors Program

University of North Carolina Charlotte

Program Overview

The Bachelor of Science in Computer Engineering with a Machine Learning Concentration at the University of North Carolina Charlotte is designed for students who are passionate about technology and eager to dive into the world of artificial intelligence. This program combines a solid foundation in computer engineering principles with specialized knowledge in machine learning, preparing graduates for exciting careers in a rapidly evolving field.

Curriculum Structure:

In the first year, students will build a strong foundation in computer science and engineering principles through courses like "Introduction to Computer Science" and "Engineering Graphics." These courses will equip students with essential programming skills and an understanding of engineering design processes, setting the stage for more advanced topics.

During the second year, students delve deeper into core subjects such as "Data Structures" and "Digital Logic Design." This year emphasizes problem-solving and analytical skills, as students learn to design algorithms and understand the hardware-software interface, which is crucial for machine learning applications.

In the third year, the focus shifts to specialized machine learning topics with courses like "Machine Learning" and "Artificial Intelligence." Students will engage in hands-on projects that apply theoretical knowledge to real-world problems, enhancing their technical skills and preparing them for advanced studies or industry roles.

In the final year, students will undertake a capstone project and courses such as "Deep Learning" and "Computer Vision." This year is pivotal as students synthesize their learning, working on complex projects that showcase their expertise and creativity, while also preparing for the transition into the workforce or further academic pursuits.

Focus Areas: Machine Learning, Artificial Intelligence, Data Analysis, Software Development

Learning Outcomes: Proficiency in programming languages, understanding of machine learning algorithms, ability to design and implement software solutions, and skills in data analysis and interpretation.

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): The University of North Carolina Charlotte consistently ranks highly in employability, with recent statistics showing that over 90% of graduates secure employment within six months of graduation, according to QS World University Rankings.

Experiential Learning (Research, Projects, Internships etc.)

At the University of North Carolina Charlotte, the BS in Computer Engineering with a Machine Learning Concentration offers students a unique opportunity to gain practical skills that are essential in today’s technology-driven world. The program emphasizes hands-on learning through various facilities and tools designed to enhance your educational experience. Students engage in real-world projects, collaborate with peers, and utilize cutting-edge technology to prepare for their future careers.

Here are some key aspects of experiential learning in this program:

- State-of-the-Art Laboratories: Access to specialized labs such as the Robotics and Automation Lab, where students can work on projects involving machine learning algorithms and robotics.
- Research Opportunities: Engage in research projects under the guidance of faculty members who are experts in machine learning and artificial intelligence.
- Internships and Co-ops: The program encourages students to participate in internships with local tech companies, providing invaluable industry experience and networking opportunities.
- Group Projects: Collaborate with fellow students on team-based projects that simulate real-world engineering challenges, fostering teamwork and problem-solving skills.
- Software and Tools: Gain proficiency in industry-standard software such as MATLAB, Python, and TensorFlow, which are essential for machine learning applications.
- Field Trips: Participate in field trips to local tech companies and research institutions, allowing students to see machine learning applications in action and connect with professionals in the field.
- Access to Libraries and Resources: Utilize the extensive resources available at the J. Murrey Atkins Library, which offers a wealth of information on computer engineering and machine learning topics.
- Institute for Advanced Analytics: Collaborate with the Institute for Advanced Analytics, which focuses on data science and machine learning research, providing students with additional learning and networking opportunities.

These experiential learning opportunities not only enhance your academic journey but also equip you with the skills and experiences that employers are looking for in the fast-evolving tech landscape.

Choosing the BS in Computer Engineering with a Machine Learning Concentration at UNC Charlotte is a step towards a rewarding career in technology. I encourage you to apply and take advantage of these incredible opportunities!

Progression & Future Opportunities

Choosing to pursue a Bachelor of Science in Computer Engineering with a Machine Learning Concentration at the University of North Carolina Charlotte opens up a world of exciting career opportunities. Graduates from this program are well-prepared for roles such as Machine Learning Engineer, Data Scientist, Software Developer, and Systems Architect. The demand for skilled professionals in these areas continues to grow, making this a smart choice for your future.

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

- University Services: The Career Services office offers personalized career counseling, resume workshops, and interview preparation to help you land your dream job. Additionally, the Engineering Career Fair connects students directly with top employers in the tech industry.

- Employment Stats and Salary Figures: According to recent data, graduates from the Computer Engineering program have a high employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for graduates in machine learning roles is around $85,000, with potential for significant growth as you gain experience.

- University–Industry Partnerships: UNC Charlotte has established partnerships with leading tech companies such as Microsoft, IBM, and Cisco. These collaborations provide students with internship opportunities, real-world projects, and networking events that can enhance your learning experience and job prospects.

- 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 prestigious companies and have reported high levels of job satisfaction, often citing the strong foundation they received during their studies.

Further Academic Progression: After completing your BS in Computer Engineering, you may choose to further your education by pursuing a Master’s degree in Computer Science, Data Science, or Artificial Intelligence. This advanced study can deepen your expertise and open doors to leadership roles in the tech industry. Additionally, you might consider obtaining professional certifications in machine learning or data analytics to enhance your qualifications and stay competitive in the job market.

Embarking on this academic journey at UNC Charlotte not only equips you with the technical skills needed for a successful career but also connects you with a vibrant community and valuable resources that will support your growth every step of the way.