Department of Computer Science (Graduate)

Return to: Graduate Studies

Website URL:

https://www.cs.purdue.edu/graduate/index.html

Department/School Head:

Sunil K. Prabhakar

Admission Requirements:

Doctoral and Master’s Degree Program Basic Requirements

• Undergraduate Cumulative Grade Point Average: 
   3.5 or equivalent required
• Degree in CS or suitable background
• English proficiency The majority of admitted international students whose native language is not English have at least the scores listed below:
  • TOEFL (Test of English as a Foreign Language): a total of 100 on the internet-based test with no subscale score lower than 22, or 250 on the computer-based test, or 600 on the paper-based test.
  • IELTS (Academic International English Language Testing System): overall band score of at least 7.5.
  • PTE Academic (Pearson Test of English): score of at least 65.
• Graduate Record Examination (GRE): 
   Not required 

Information Assurance Education Certificate Program Basic Requirements

• Must be tenured or tenure-track faculty members in a department of computer science, mathematics, computer engineering, information science, statistics, or physics at an institution accredited by an appropriate regional accrediting body.
• Must be a U.S. citizen

Academic Programs:

Master’s and Ph.D. Programs

• M.S.
  • Computer Science (thesis or non-thesis)
  • Joint Statistics and Computer Science
  • Concentration in Computational Science and Engineering (CSE)
  • Concentration in Computational Life Sciences (CLS)
  • Concentration in Information Security for Computing Professionals (ISCP)
• Ph.D.
  • Computer Science
  • Concentration in Computational Science and Engineering (CSE)
  • Concentration in Computational Life Sciences (CLS)

Concentrations (Areas of Study):

• Bioinformatics and Computational Biology
• Computational Science and Engineering
• Databases
• Data Mining
• Distributed Systems
• Graphics and Visualization
• Information Retrieval
• Information Security and Assurance
• Machine Learning
• Networking and Operating Systems
• Programming Languages and Compilers
• Software Engineering
• Theory of Computing and Algorithms

Online/Distance Programs:

• Non-thesis MS in CS via distance learning

Combined Degree Programs (Undergraduate Degree / Master’s Degree):

• Fifth-Year Combined BS/MS in Computer Science

Regular Graduate Faculty by Rank:

Professor

Walid Aref
Mikhail Atallah
Saugata Basu
Elisa Bertino
Bharat Bhargava
Chris Clifton
Douglas Comer
Ahmed Elmagarmid
Sonia Fahmy
Greg Frederickson
Ananth Grama
Susanne Hambrusch
Chris Hoffmann
Suresh Jagannathan
Daisuke Kihara
Ninghui Li
Zhiyuan Li
Bradley Lucier
Aditya Mathur
Alex Pothen
Sunil Prabhakar
Vernon Rego
Elisha Sacks
Ahmed Sameh
Robert D. Skeel
Eugene Spafford
Wojciech Szpankowski
Samuel Wagstaff
Dongyan Xu

Associate Professor

Daniel Aliaga
Buster Dunsmore
Patrick Eugster
Tony Hosking
Jennifer Neville
Kihong Park
Voicu Popescu
Yuan (Alan) Qi
Luo Si
Xavier Tricoche
Xiangyu Zhang

Assistant Professor

Elias Bareinboim
David Gleich
Dan Goldwasser
Elena Grigorescu
Jean Honorio
Aniket Kate
Hemanta Maji
Mathias Payer
Bruno Ribeiro
Tiark Rompf

Programs

• Computer Science, PHD

• Computer Science, MS

Courses

• CS 50100 - Computing For Science And Engineering
• CS 50200 - Compiling And Programming Systems
• CS 50300 - Operating Systems
• CS 50500 - Distributed Systems
• CS 51000 - Software Engineering
• CS 51400 - Numerical Analysis
• CS 51500 - Numerical Linear Algebra
• CS 51501 - Parallelism In Numerical Linear Algebra
• CS 52000 - Computational Methods In Optimization
• CS 52500 - Parallel Computing
• CS 52600 - Information Security
• CS 53000 - Introduction To Scientific Visualization
• CS 53100 - Computational Geometry
• CS 53500 - Interactive Computer Graphics
• CS 53600 - Data Communication And Computer Networks
• CS 54100 - Database Systems
• CS 54200 - Distributed Database Systems
• CS 54300 - Introduction To Simulation And Modeling Of Computer Systems
• CS 54701 - Information Retrieval
• CS 55500 - Cryptography
• CS 56500 - Programming Languages
• CS 56900 - Introduction To Robotic Systems
• CS 57300 - Data Mining
• CS 57800 - Statistical Machine Learning
• CS 57900 - Bioinformatics Algorithms
• CS 58000 - Algorithm Design, Analysis, And Implementation
• CS 58400 - Theory Of Computation And Computational Complexity
• CS 59000 - Topics In Computer Sciences
• CS 59100 - Seminar
• CS 60300 - Advanced Topics In Distributed Systems
• CS 61400 - Numerical Solution Of Ordinary Differential Equations
• CS 61500 - Numerical Methods For Partial Differential Equations I
• CS 62600 - Advanced Information Assurance
• CS 63500 - Capturing And Rendering Real-World Scenes
• CS 63600 - Internetworking
• CS 63800 - Multimedia Networking And Operating Systems
• CS 64100 - Multimedia Database Systems
• CS 65500 - Advanced Cryptology
• CS 66100 - Formal Compiling Methods
• CS 66200 - Pattern Recognition And Decision-Making Processes
• CS 69000 - Seminar On Topics In Computer Sciences
• CS 69800 - Research MS Thesis
• CS 69900 - Research PhD Thesis

Return to: Graduate Studies