By Katia Hua
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January 21, 2025
Computer Engineering What is Computer Engineering? Computer engineering focuses on the hardware aspect of computing, such as making computers smaller, faster, and more efficient. Difference Between Computer Engineering (CE) and Computer Science (CS) Computer Science (CS) focuses on software, including courses such as Software Engineering, Artificial Intelligence (AI) & Machine Learning, Database Management, Operating Systems, Cybersecurity. Computer Engineering (CE) focuses on hardware, with courses like Circuit Design, Microprocessors, Signal Processing, Networking Hardware Top Schools for Computer Engineering Renowned universities for Computer Engineering include MIT, Stanford, UC Berkeley. Other strong programs: Purdue University, University of Texas at Austin (UT Austin) Application Requirements To apply for Computer Engineering, students need strong high school academic performance, excellent grades in Math and Physics. Relevant Extracurricular Activities like robotics competitions, Math and physics contests, coding projects and hackathons. Participation in school clubs related to programming or engineering, pre-college summer courses, or science fairs Career Prospects Electronics Companies such as Apple, Intel, NVIDIA. Automotive & Aerospace such as Tesla, General Motors, Boeing. Medical Device Companies such as Siemens, specializing in imaging equipment and medical robots. Financial Services. Telecommunications. Salary Expectations: Entry-level salary range is $70,000–$90,000 per year. Mid-level salary is approximately $140,000 per year Computer Science What is Computer Science (CS)? CS primarily focuses on software development and computational theories. It offers a wide range of specialized fields that address emerging technologies and real-world applications. Popular CS specializations include Artificial Intelligence (AI) and Machine Learning, Data Mining, Software Engineering, Cybersecurity, Human-Computer Interaction, Visual Design, Distributed Systems, Robotics, Natural Language Processing (NLP), Quantum Computing, Cloud Computing, Game Design, and Internet of Things (IoT). Fast-growing fields within CS include Quantum Computing, Augmented Reality (AR) & Virtual Reality (VR), and Artificial Intelligence (AI). Career Prospects To increase employability, students should focus on mastering programming (e.g., Python, Java, C++) and developing a strong understanding of cybersecurity principles. The average starting salary for CS graduates is approximately $90,000 per year. Job opportunities are concentrated in tech hubs such as the San Francisco Bay Area, Texas (Austin, Dallas), New York, and Boston, with emerging tech cities like Denver, Raleigh, and Atlanta also offering many opportunities. Electrical Engineering (EE) Electrical Engineering (EE) covers areas such as circuits, electromagnetics, control systems, signal processing, power systems (strong and weak electricity), communication, and renewable energy systems. Application Requirements For students interested in applying to this major, strong high school performance in mathematics and physics is essential. Recommended extracurricular activities include STEM-related competitions like robotics, programming contests, or science fairs. Additionally, personal projects or portfolios—submitted through platforms like GitHub—can demonstrate technical skills. Internships or volunteer experiences related to the field also significantly enhance competitiveness in applications. Top Schools for Electrical Engineering In addition to well-known universities, schools with strong EE programs include USC, Wisconsin-Madison, Virginia Tech, Texas A&M, and the University of Florida. Career Prospects Employment prospects for Electrical Engineering (EE) graduates span multiple industries, including technology companies that develop microprocessors and memory systems, communication companies like AT&T, Verizon, and Cisco, as well as the electric vehicle and aerospace sectors. The energy industry, with companies such as the State Grid, GE, and Siemens, also employs many EE professionals. Rapidly growing fields include smart grids for improved energy efficiency, the Internet of Things (IoT), hardware-AI integration, electric vehicles and battery technology, as well as robotics and automation. To quickly secure a desirable job in these fields, I recommend acquiring skills such as programming—not limited to computer science but also essential in engineering. Knowledge of hardware description languages, control theory, signal processing, power system analysis, project management, and effective communication is equally important. Starting salaries in the industry range from $70,000 to $85,000, with mid-level positions averaging $120,000. Operations Research (OR) Operations Research (OR) applies analytical tools, mathematical models, and optimization techniques to assist organizations in decision-making and improving efficiency. While it is categorized as an engineering discipline, it primarily uses engineering methods to address business challenges. As a result, many OR graduates find roles in accounting, consulting, or finance. OR offers several subfields; for example, Columbia University allows students to specialize in business analytics, technological entrepreneurship, financial engineering, logistics and supply chain, machine learning, optimization, or stochastic models. Top Schools for Operations Research Renowned universities for OR include Columbia (offering multiple subfields), Cornell (focused on data-driven decision analysis), Princeton (under OR and Financial Engineering), and the University of Michigan at Ann Arbor (under Industrial and Operations Engineering). Northwestern University offers OR as a subfield within industrial engineering, blending it with analytics. Other strong programs include USC and UIUC. Career Prospects OR graduates are well-suited for roles such as data analysts in tech companies, offering a stronger foundation in quantitative analysis than many business analytics graduates. Other opportunities include data analysis, supply chain analysis to optimize processes, financial analysis (as financial analysts or quantitative analysts in the finance sector), and management consulting, where OR backgrounds help streamline processes and inform strategic decisions. Emerging industries include AI-driven optimization, automated transportation, and logistics and supply chain advancements. To secure ideal positions, students should strengthen their foundation in mathematics and statistics, build proficiency in optimization models and programming, and enhance communication skills, especially in data visualization. Many OR concepts are abstract, so the ability to clearly and visually present complex ideas is crucial. Average starting salaries range from $60,000 to $80,000, but mid-level incomes vary significantly by industry. Key employment hubs include the Bay Area (technology) and the East Coast (finance and consulting). Mechanical Engineering The main areas of study in this field include materials mechanics, thermodynamics, fluid mechanics, machine design, industrial processes, control systems, robotics, aerospace engineering, nanotechnology, acoustics, and vibration engineering. Mechanical engineering covers a wide range, from small nano systems to large, complex industrial equipment. It spans the study of sound, fluid flow, and air systems. Top Schools for Mechanical Engineering There are many schools that offer this program, as nearly all research-oriented universities have an engineering school. As long as there is an engineering school, there will be a mechanical engineering program. In addition to the well-known top schools, institutions like UT Austin, UCSD, Virginia Tech, PSU, TAMU, and UF also offer excellent mechanical engineering programs. Job Prospects Career Prospects Because mechanical engineering covers such a broad range of fields, it is relatively easy to find a job. Related industries include automotive, aerospace, industrial manufacturing and design, energy and utilities, robotics and automation, medical devices, and consulting. High-growth areas include additive manufacturing (3D printing), robotics manufacturing, and renewable energy. Familiarity with technologies such as CAD and design software, programming, project management, and control systems and automation makes it easier to find a job. The starting salary is around $80,000. Key job hubs include the Bay Area, Texas, Boston, Detroit, Southern California, and Seattle.