SUMMARY
Transitioning from a pure mathematics background to a master's program in Electrical Engineering (EE) or Computer Science (CS) is feasible but requires careful planning. Candidates must complete foundational courses such as signals & systems and circuit analysis before enrolling in graduate classes. The discussion highlights the importance of relevant programming experience and laboratory skills, particularly for EE, which may not be fully covered in a mathematics curriculum. Notably, exceptional individuals have successfully made this transition, but they are rare, and prospective students should be prepared for additional coursework.
PREREQUISITES
- Basic knowledge of signals & systems and circuit analysis.
- Familiarity with programming languages and data structures.
- Understanding of applied mathematics concepts relevant to engineering.
- Experience with laboratory work and design-based courses.
NEXT STEPS
- Research the specific undergraduate courses required for admission to EE or CS master's programs.
- Learn about the ABET accreditation process and its implications for engineering degrees.
- Explore programming languages commonly used in Computer Science, such as Python or Java.
- Investigate opportunities for hands-on experience in electronics and robotics through internships or projects.
USEFUL FOR
Individuals with a background in pure mathematics considering a career in Electrical Engineering or Computer Science, as well as those interested in robotics and AI entrepreneurship.