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Graduate School New Brunswick
 
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Actuarial and Statistical Analysis
African Studies 016
Analytics: Discovery Informatics and Data Sciences
Anthropology 070
Applied Computing
Art History 082
Arts, Visual and Theater
Asian Studies 098
Atmospheric Science 107
Biochemistry 115
Bioenvironmental Engineering 116
Biomedical Engineering 125
Biotechnology 126
Biotechnology and Genomics
Business and Science 137
Cell and Developmental Biology 148
Cellular and Molecular Pharmacology
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Chemistry
Chemistry and Chemical Biology 160
Chinese 165
Cinema Studies 175
Civil and Environmental Engineering 180
Classics 190
Cognitive Science 185
College Teaching 186
College and University Leadership 187
Communication, Information and Library Studies 194
Communication Studies
Comparative Literature 195
Computational and Data-Enabled Science and Engineering 199
Computer Science 198
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Cultural Heritage and Preservation Studies (CHAPS)
Curatorial Studies
Data Science (Statistics Track) 954
Drug Discovery and Development
East Asian Languages and Cultures 217
Ecology and Evolution 215
Economics 220
Education 300
Educational Psychology; Educational Theory, Policy, and Administration; Learning and Teaching
Electrical and Computer Engineering 332
Endocrinology and Animal Biosciences 340
Energy 335
Engineering Management
English, Literatures in (English 350, Composition Studies 352)
English as a Second Language 356, American Language Studies 357
Entomology 370
Environmental Change, Human Dimensions of 378
Environmental Sciences 375
Exposure Science
Financial Statistics and Risk Management 958
Food and Business Economics 395
Food Science 400
French 420
Genetic Counseling
Geography 450
Geological Sciences 460
Geospatial Information Science 455
Geospatial Information Systems
German 470
Global Agriculture
Global Sports Business 475
Graduate Student Professional Development 486
Higher Education 507
Historic Preservation
History 510
Horticulture and Turfgrass Science
Human Resource Management
Industrial Mathematics
Industrial Relations and Human Resources 545
Industrial and Systems Engineering 540
Information Technology
Interdisciplinary Ph.D. Program 554
Italian 560
Jewish Studies 563
Kinesiology and Applied Physiology 572
Labor and Employment Relations
Landscape Architecture 550
Latin American Studies
Library Studies
Linguistics 615
Literature and Language 617
Literatures in English
Management
Materials Science and Engineering 635
Mathematical Finance 643
Mathematics 640, 642, 644
Mechanical and Aerospace Engineering 650
Medical Device Design and Development
Medicinal Chemistry 663
Medieval Studies 667
Meteorology
Microbial Biology 682
Microbiology and Molecular Genetics 681
Molecular Biophysics 696
Molecular Biosciences 695
Music
Music 700
Neuroscience 710
Nutritional Sciences 709
Oceanography 712
Packaging Engineering 731
Perceptual Science 714
Personal Care Science
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Pharmaceutical Science 720
Pharmaceuticals and Clinical Trials Management 725
Pharmacology, Cellular and Molecular 718
Pharmacy
Philosophy 730
Physics and Astronomy 750
Physiology and Integrative Biology 761
Planning and Public Policy 762
Plant Biology 765
Political Science 790
Psychology 830
Psychology, Applied and Professional
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Quantitative Biomedicine 848
Quaternary Studies 855
Religion 840
Russian, Central and East European Studies 859
Science and Technology Management 885
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Spanish 940
Statistics and Biostatistics 960
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Visual Arts
Women's and Gender Studies 988
Writing for Graduate Students 355
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Catalogs
  Graduate School-New Brunswick 2017 Programs, Faculty, and Courses Computer Science 198 Programs  

Programs


The program in computer science offers courses in most areas of the field and provides flexible options for advanced research. To enter the program, applicants must have completed an accredited undergraduate program in computer science or at least taken the core courses required for an undergraduate degree in computer science. This includes a substantial background in mathematics, especially calculus, linear algebra, discrete mathematics, and probability/combinatorics. Students should have at least one semester in all of these subjects and two semesters in calculus. Finally, applicants should have taken programming languages, data structures, algorithm design and analysis, computer architecture, operating systems, and an advanced undergraduate level elective course. All applicants are required to take the Graduate Record Examination's general and computer science examinations.

Candidates for a master of science degree have two options. They may complete 30 credits of coursework and write an acceptable expository essay, or they may take 24 credits of coursework and submit a master's thesis worth 6 credits. The courses must be chosen from a given set of courses in order to ensure breadth of knowledge.

A candidate for the doctor of philosophy degree must complete 48 credits of coursework beyond the bachelor's degree. Students who enter the program after earning a master's degree may apply to transfer up to 24 of the credits required for the lower degree. Normally, the program requires one year in residence, but in special cases the department will consider alternatives to full-time residence. In addition, the student must satisfy the breadth and depth requirements before beginning his or her thesis research. For the breadth requirement, students must complete two category A courses and two category B courses with a grade-point average of 3.5 or better, no later than the end of the fifth semester. Transfer credits may not be used toward the breadth requirement. Students may apply for transfer credit once they have passed their qualifying examinations. To satisfy the depth requirement, students must complete (1) an independent study research project by the end of the fourth semester, and (2) must pass a qualifying examination by the end of the sixth semester. In addition, the student must pass the qualifying examination before beginning his or her thesis research. The thesis should cover original investigations of one or more problems in computer science. A master of philosophy degree is available to doctoral candidates.

Faculty research interests cover nearly every aspect of computer science, including algorithms and complexity theory, combinatorics, cryptography and computational biology, numerical analysis, combinatorial and computational geometry, computer graphics, software engineering, programming languages and compilers, computer architecture, operating systems, distributed systems, networking, security, information and database systems, data mining, bioinformatics, artificial intelligence, machine learning, and human-computer interaction. Faculty members are also exploring computational linguistics, networking optimizations, streaming management, mobile computing and networking, sensor networks, pervasive computing, vehicular computing and networking, and electronic commerce.

Many of our faculty members conduct their research in research laboratories such as the Systems and Design and Evaluation Laboratory (Dark Lab); the Mobile Computing Laboratory (Dataman Lab); the Laboratory for Network-Centric Systems (DisCo Lab); the Energy Efficiency and Low-Power Laboratory (EEL); the Pervasive, Available, No Futz Internet Computing Laboratory (PANIC Lab); the Programming Languages Laboratory (Prolongs Lab); the Security and E-Commerce Laboratory (SEC Lab); and the Vision, Interaction, Language, Logic, and Graphics Environment Laboratory (VILLAGE Lab).The computer science department has close ties to various research units and centers on campus providing students and faculty opportunities to participate in collaborative and multidisciplinary research. These include the Center for Computational Biomedicine Imaging and Modeling (CBIM), Rutgers Center for Cognitive Science (RuCCS), Rutgers Center for Operations Research (RUTCOR), and the Wireless Information Network Laboratory (WINLAB).

Current research being done by the graduate faculty is expected to stimulate doctoral research. All qualified doctoral students are eligible to be considered for teaching assistantships and fellowships. Also, many of the grant-supported research projects have research assistantships for advanced graduate students.

All faculty and graduate student offices are equipped with networked workstations connected to servers that support large-memory and massive parallel computing. In addition, dedicated research and instructional laboratories are available. All facilities are located in the CoRE (Computer Research and Engineering) Building, in the Hill Center for the Mathematical Sciences, and are run by the staff of the Laboratory for Computer Science Research.

Further information may be found in the Graduate Program in Computer Science, a brochure available from the program and on the web at https://www.cs.rutgers.edu.

 
For additional information, contact RU-info at 732-932-info (4636) or colonelhenry.rutgers.edu.
Comments and corrections to: Campus Information Services.

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