Department of Computer Science (Graduate)

Website URL:

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

Department/School Head:

Sunil K. Prabhakar

Admission Requirements:

Certificate Program Basic Requirements

Information Assurance Education Certificate Program Admission Requirements:

• Participants in this program 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.
• Participants must be U.S. citizens.

Master’s Degree Program Basic Requirements

• Undergraduate Cumulative Grade Point Average:
  3.5 or equivalent required
• Graduate Record Examination (GRE):
  Not required

Academic Programs:

Master’s and Ph.D. Programs

• Master’s & Doctoral Programs

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

Regular Graduate Faculty by Rank:

Professor

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

Associate Professor

Daniel Aliaga
Buster Dunsmore
Patrick Eugster
Tony Hosking
Jennifer Neville
Cristina Nita-Rotaru
Kihong Park
Voicu Popescu
Yuan Qi
Luo Si
Xavier Tricoche
Michael Witt
Xiangynu Zhang

Assistant Professor

David Gleich
Dan Goldwasser
Elena Grigorescu
Mathias Payer
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