in Mathematics & Computer Science

This Professional Master program in Data Science, rather than just adapting to the advent of Big Data, is an analytical degree program designed from the ground up to focus on the latest systems, tools, and algorithms to store, retrieve, process, analyze, visualize, and synthesize large data. It consists of six foundational classes and six elective courses. Every student is required to complete before graduation a competitive one semester Capstone Project. A central goal of the program is to build systems that integrate in a coherent manner the full data cycle: from data gathering to data visualization and data synthesis aided by computer-human interaction.

the thesis: quintessentially Princeton.

Students with a B.S in computer science, engineering, mathematics, or related fields.

Computer Science Department at Princeton University

The student will do research under the direction of an advisor, who must be a full (rather than associate) member of the Graduate Faculty of Computer Science, write a dissertation about that work, have the thesis read by a committee of at least four and defend the work in an oral presentation to the committee and all who are interested. (The Graduate Committee will announce this dissertation defense.) The student's advisor will propose a committee to the Graduate Committee and the DCS Graduate Director for approval. The thesis committee, chaired by the advisor, will include at least two other (full or associate) members of the Graduate Faculty of Computer Science and one additional person referred to as the "outside member". This outside member

Princeton Computer Science Thesis

Within six months of the successful completion of the qualifying examination, the student and a full member of the Graduate Faculty of Computer Science must declare to the Graduate Committee that the student is doing research under the guidance of that professor as advisor. If there are circumstances that prevent such an agreement between a professor and the student, the student should consult with the Graduate Director. If the Ph.D. thesis advisor is to be a courtesy member of the department (as defined above), the student must have a second advisor who is a regular member of the department and the student must keep the second advisor well-informed about his/her research progress; in this case, both advisors must be approved by the Graduate Committee.

Princeton University network connected patrons .the thesis: quintessentially Princeton.

The 20 Best Graduate Programs in Computer Science-- …

Electrical Engineering majors have the opportunity to select a specialization in Electro-optics and Solid-State Devices; and Systems and Signal Processing. In addition to the courses offered by the Department, the major program includes selected courses from the Donald Bren School of Information and Computer Sciences.

President's Page The Power and Promise of Computer Science ..

The undergraduate Electrical Engineering curriculum is built around a basic core of humanities, mathematics, and natural and engineering science courses. It is arranged to provide the fundamentals of synthesis and design that will enable graduates to begin careers in industry or to go on to graduate study. UCI Electrical Engineering students take courses in network analysis, electronics, electronic system design, signal processing, control systems, electromagnetics, and computer engineering. They learn to design circuits and systems to meet specific needs and to use modern computers in problem analysis and solution.

If I enroll in the MS in Computer Science program at Rutgers, can I transfer into the MSDS later?

Thesis, Department of Computer Science ..

Semantic Language Extensions for Implicit Parallel Programming [] ()
Prakash Prabhu
Ph.D. Thesis, Department of Computer Science, Princeton University, September 2013.

What is the difference between the MSDS master's program and the general MS in Computer Science CS at Rutgers?

Princeton University Undergraduate Senior Theses, 1924 …

d. Students with undergraduate degrees in Statistics, Mathematics, Physics, Engineering and other Sciences with a GPA above 3.5 (out of 4) , may be considered for temporal admission and will be placed in undergraduate bridge classes on Data Structures and Algorithms, Data Bases, Operating Systems and Computer Architecture. After successful completion of these remedial classes (with a grade of B or better) they will be granted full admission into the MSDS Program.

News Associate Professor, Yael Niv, Co-Director of New Rutgers-Princeton Center for Computational Cognitive.

Math and Computer Science | Princeton University Math …

Parallelization Techniques with Improved Dependence Handling [] ()
Easwaran Raman
Ph.D. Thesis, Department of Computer Science, Princeton University, June 2009.