Civil Engineering (CE) research and study are offered through the Department of Mechanical and Civil Engineering (MCE). The aim of the graduate program in civil engineering at Caltech is to prepare students for research and professional practice in an era of rapidly advancing interdisciplinary technology. The program combines individual depth of experience and competence in a particular chosen major specialty, with a strong background in the basic and engineering sciences. It strives to develop professional independence, creativity, leadership, and the capacity for continuing professional and intellectual growth.
An integrated approach to graduate study combining computation and neural systems is organized jointly by the Division of Biology and Biological Engineering, the Division of Engineering and Applied Science, and the Division of the Humanities and Social Sciences. This curriculum is designed to promote a broad knowledge of relevant and related aspects of experimental and theoretical molecular, cellular, neural, and systems biology; computational devices; information theory; emergent or collective systems; modeling; and complex systems; in conjunction with an appropriate depth of knowledge in the particular field of the thesis research.
Computation is now pervasive, wide-reaching, and unavoidable in our daily lives, and in science and engineering. The Computer Science option gives students a strong grounding in the mathematical and algorithmic foundations of computing, provides an introduction to cutting-edge research in a variety of subfields of Computer Science, and prepares them to apply computational thinking to a diversity of applications in Computer Science and beyond.
Research in the department stresses mathematical depth, the integration of theory and implementation, and a broad perspective on computing systems. Students are encouraged to tailor their programs of courses and research to fit their specific needs. Research emphases are in algorithms; communication protocols, concurrent computation, and networks; graphics and human-computer interaction; novel computational substrates, including quantum mechanical computers and molecular computers; VLSI, with a specific emphasis on asynchronous and analog VLSI; high-confidence systems, including fault tolerance, program verification, and security; information theory; learning theory; computational complexity; computer vision; and large-scale scientific computing. Caltech's new centers of Information Science and Technology (IST) facilitate multidisciplinary collaboration across all departments on campus. Graduate projects frequently involve connections with other disciplines including Physics, Biology, Control and Dynamical Systems, and Social Sciences. Students join a research group from the very beginning of their sojourn at Caltech so it is desirable that applicants have a defined area of interest when applying.
CMS is home to outstanding students and researchers who share a passion for science and engineering, as well as a drive to investigate the most challenging, fundamental problems in computation and information. The CMS program is a unique, new program that provides students with a cross-cutting perspective on optimization, algorithms, learning, statistics, and networks.
The option in control and dynamical systems (CDS) is open to students with an undergraduate degree in engineering, mathematics, or science. The qualifications of each applicant will be considered individually, and, after being enrolled, the student will arrange his or her program in consultation with a member of the faculty. In some cases the student may be required to make up undergraduate deficiencies in engineering science courses. The CDS option emphasizes the interdisciplinary nature of modern theory of dynamical systems and control. The curriculum is designed to promote a broad knowledge of mathematical and experimental techniques in dynamical systems theory and control. In addition to taking courses in the CDS option, students must select a focus area.
The economics option provides students with an understanding of the basic principles underlying the functioning of economic institutions. It offers a modern quantitative approach seldom available at the undergraduate level. The emphasis on economic principles and modern methodology provides students with an excellent preparation for graduate study in economics, as well as for professional work in the fields of business, law, economics, and government.
EE at Caltech emphasizes both the fundamentals of electronics and systems, as well as acknowledging the multi-disciplinary nature of the field. Closely allied with Computation and Neural Systems, Applied Physics, Bioengineering, Computer Science, and Control and Dynamical System, it offers students the opportunity for study and research, both theoretical and experimental, in a wide variety of subjects, including wireless systems, quantum electronics, modern optics, lasers and guided waves, solid-state materials and devices, bio-optics and bio-electronics, power and energy systems, control theory, learning systems, computational finance, signal processing, data compression, communications, parallel and distributed computing, fault-tolerant computing, and computational vision. Substantial experimental laboratory facilities, housed mainly in the Moore Laboratory of Engineering, are associated with each of these research fields.
The objective of the undergraduate program in Electrical Engineering at Caltech is to produce graduates who will attain careers and higher education that ultimately lead to leadership roles in academia, industry, and government in areas of rapidly advancing interdisciplinary technology related to telecommunications, solid-state, robotics, information, computer and electrical systems.
The engineering and applied science (EAS) option offers students the opportunity for study in a wide variety of challenging areas of science and technology and includes concentrations in computation and neural systems, and materials science. In addition, the EAS option offers students the possibility of designing a customized course of study that has breadth, depth, and rigor similar to the concentrations listed above.