Computer Science: Information and Cybersecurity Concentration, MS

Location(s): West Lafayette

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About the Program

Students pursuing a graduate degree in Computer Science can further their knowledge of computer science and conduct critical research in the Department of Computer Science’s many varied areas of research. Faculty’s expertise spans across many areas of computer science. The Information and Cybersecurity concentration is a non-thesis option for students studying Computer Science.

Program Website

Program Requirements

30 Credits Required

Required Courses (12 credits)

CS 50010 - Foundational Principles Of Information Security Credit Hours: 3.00
CS 50011 - Introduction To Systems For Information Security Credit Hours: 3.00
CS 52600 - Information Security Credit Hours: 3.00
CS 55500 - Cryptography Credit Hours: 3.00

Selectives (12 credits)

Choose four.

CS 52300 - Social, Economic, And Legal Aspects Of Security Credit Hours: 3.00
CS 52700 - Software Security Credit Hours: 3.00
CS 52800 - Network Security Credit Hours: 3.00
CS 52900 - Security Analytics Credit Hours: 3.00
CS 55600 - Data Security And Privacy Credit Hours: 3.00

Electives (6 credits)

Choose two.

The two additional 500/600-level elective courses do not necessarily need to be in Computer Science. At most, two may be individual study courses. For each individual study course, students must identify a CS faculty member willing to offer the course and submit a detailed, one-page course description approved and signed by the CS instructor to the graduate office (csgrad@purdue.edu) before the course can be approved on a plan of study. The course must be titled and taken in regular grade mode (not P/NP).

CS Courses

Students can choose CS courses for their electives from the list below. Generally, any CS courses at the 500 level or above is allowed, when taught by a faculty member whose primary appointment is in the CS department (except CS 50100, 50010, 50011, 50023, 50024, 50025 and certain CS 59000, 59200 and 59300 courses).

CS 50200 - Compiling And Programming Systems Credit Hours: 3.00
CS 50500 - Distributed Systems Credit Hours: 3.00
CS 51400 - Numerical Analysis Credit Hours: 3.00
CS 52000 - Computational Methods In Optimization Credit Hours: 3.00
CS 52300 - Social, Economic, And Legal Aspects Of Security Credit Hours: 3.00
CS 52500 - Parallel Computing Credit Hours: 3.00
CS 52700 - Software Security Credit Hours: 3.00
CS 52800 - Network Security Credit Hours: 3.00
CS 53000 - Introduction To Scientific Visualization Credit Hours: 3.00
CS 53600 - Data Communication And Computer Networks Credit Hours: 3.00
CS 55500 - Cryptography Credit Hours: 3.00
CS 55600 - Data Security And Privacy Credit Hours: 3.00
CS 55800 - Introduction To Robot Learning Credit Hours: 3.00
CS 56500 - Programming Languages Credit Hours: 3.00
CS 57300 - Data Mining Credit Hours: 3.00
CS 57700 - Natural Language Processing Credit Hours: 3.00
CS 57800 - Statistical Machine Learning Credit Hours: 3.00
CS 58000 - Algorithm Design, Analysis, And Implementation Credit Hours: 3.00
CS 58400 - Theory Of Computation And Computational Complexity Credit Hours: 3.00
CS 58500 - Theoretical Computer Science Toolkit Credit Hours: 3.00
CS 58700 - Foundations Of Deep Learning Credit Hours: 3.00
CS 59100 - Seminar Credit Hours: 1.00
CS 61500 - Numerical Methods For Partial Differential Equations I Credit Hours: 3.00
CS 63500 - Capturing And Rendering Real-World Scenes Credit Hours: 3.00
CS 65500 - Advanced Cryptology Credit Hours: 3.00

Non-CS Courses

Besides CS courses, students can choose from other departments to fulfill their degree requirements. The list below is non-exhaustive. Other courses, including courses at other institutions, may be approved on an individual basis.

BIOL 51700 - Molecular Biology: Proteins Credit Hours: 2.00 (If taken for the Computational Life Sciences concentration)
BIOL 54100 - Molecular Genetics Of Bacteria Credit Hours: 3.00 (If taken for the Computational Life Sciences concentration)
CHM 69600 - Special Topics In Chemistry Credit Hours: 1.00 to 3.00 Title: Quantum Information and Computation
ECE 51012 - Electromechanics Credit Hours: 3.00
ECE 54700 - Introduction To Computer Communication Networks Credit Hours: 3.00
ECE 56300 - Programming Parallel Machines Credit Hours: 3.00
ECE 56500 - Computer Architecture Credit Hours: 3.00
ECE 57000 - Artificial Intelligence Credit Hours: 3.00
ECE 60000 - Random Variables And Signals Credit Hours: 3.00
ECE 60872 - Reliable And Secure Computer Systems Credit Hours: 3.00
ECE 62900 - Introduction To Neural Networks Credit Hours: 3.00
ECE 63700 - Digital Image Processing I Credit Hours: 3.00
ECE 66100 - Computer Vision Credit Hours: 3.00
ECE 67300 - Distributed Computing Systems Credit Hours: 3.00
IE 53500 - Linear Programming Credit Hours: 3.00
IE 53800 - Nonlinear Optimization Algorithms And Models Credit Hours: 3.00
IE 58000 - Systems Simulation Credit Hours: 3.00
IE 63500 - Theoretical Foundations Of Optimization Credit Hours: 3.00
IE 67400 - Cyber Methods For Advanced Production Control Credit Hours: 3.00
LING 59300 - Special Topics In Semantics Credit Hours: 3.00 Title: Natural Language Knowledge Representation
MA 51000 - Vector Calculus Credit Hours: 3.00
MA 51400 - Numerical Analysis Credit Hours: 3.00
MA 51800 - Advanced Discrete Mathematics Credit Hours: 3.00
MA 52000 - Boundary Value Problems Of Differential Equations Credit Hours: 3.00
MA 52300 - Introduction To Partial Differential Equations Credit Hours: 3.00
MA 52500 - Introduction To Complex Analysis Credit Hours: 3.00
MA 53200 - Elements Of Stochastic Processes Credit Hours: 3.00
MA 57500 - Graph Theory Credit Hours: 3.00
MA 58500 - Mathematical Logic I Credit Hours: 3.00
MA 59800 - Topics In Mathematics Credit Hours: 1.00 to 5.00 Titles: Elliptic Curves & Cryptography; Mathematical Aspects of Neural Networks
MA 61100 - Methods Of Applied Mathematics I Credit Hours: 3.00
MA 61500 - Numerical Methods For Partial Differential Equations I Credit Hours: 3.00
ME 53500 - Design And Modeling Of Fluid Power Systems Credit Hours: 3.00
STAT 51900 - Introduction To Probability Credit Hours: 3.00
STAT 52200 - Sampling And Survey Techniques Credit Hours: 3.00
STAT 52600 - Advanced Statistical Methodology Credit Hours: 3.00
STAT 52800 - Introduction To Mathematical Statistics Credit Hours: 3.00
STAT 52900 - Applied Decision Theory And Bayesian Statistics Credit Hours: 3.00
STAT 53200 - Elements Of Stochastic Processes Credit Hours: 3.00
STAT 54600 - Computational Statistics Credit Hours: 3.00
STAT 59800 - Topics In Statistical Methods Credit Hours: 0.00 to 6.00 Titles: Introduction to Machine Learning; Probabilistic Graphical Models
STAT 69500 - Seminar In Mathematical Statistics Credit Hours: 1.00 to 3.00
Titles:
- Bayesian Statistical Modeling
- Bayesian Statistics
- Data Visualization
- Bayesian Nonparametrics

Concentrations

Interdisciplinary concentrations:

Program Learning Outcomes

GPA Requirements

All courses included in the plan of study must have a student evaluation component, and they must be graded in the usual manner so they can be used to compute the GPA. In particular, courses graded on a pass/no pass or satisfactory/unsatisfactory basis cannot be included in the plan of study. A student receiving a grade lower than C- in a course on the plan of study will have to repeat or replace the course. If a course is repeated, only the last grade, even if lower, is used to compute all GPAs involving that course.

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Transfer credit policy: Credits earned for graduate study at other universities (both domestic and international) may be applied toward an advanced degree. Only credit hours associated with graduate courses for which grades of B- or better were obtained will be eligible for transfer. Any additional conditions under which credit transfers may be made are determined by the various departments.
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