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Degree Requirements

Degrees earned will be distributed as: "Master of Computer Science" without track specifications. Students may request a department letter upon successful completion of a track curriculum.

Master of Computer Science (MR)

Course List

Code	Title	Hours
Core Courses		9
Select a minimum of three courses from "Core Courses" listed below
Required Course		1
°ä³§°äÌý600	Computer Science Graduate Orientation
Electives Courses 1		12
CSC 500 or 700-level courses
Electives or Other Restricted Electives		9
Take any combination of 500- or 700-level courses in Computer Science, the College of Engineering or the College of Sciences
Total Hours		31

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Students can apply 3 credit hours of °ä³§°äÌý630 to the elective area.

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Core Courses

Course List

Code	Title	Hours
Select a minimum of three courses: one from either category with two from the remaining category		9
Theory
°ä³§°äÌý503	Computational Applied Logic	3
°ä³§°äÌý505	Design and Analysis Of Algorithms	3
°ä³§°äÌý512	Compiler Construction	3
°ä³§°äÌý514	Foundations of Cryptography	3
°ä³§°äÌý565	Graph Theory	3
°ä³§°äÌý579	Introduction to Computer Performance Modeling	3
°ä³§°äÌý580	Numerical Analysis II	3
°ä³§°äÌý707	Automata, Languages and Computability Theory	3
Systems Category
°ä³§°äÌý501	Operating Systems Principles	3
°ä³§°äÌý506	Architecture Of Parallel Computers	3
°ä³§°äÌý510	Software Engineering	3
°ä³§°äÌý520	Artificial Intelligence I	3
´Ç°ùÌý°ä³§°äÌý720	Artificial Intelligence II
°ä³§°äÌý540	Database Management Concepts and Systems	3
°ä³§°äÌý561	Principles of Computer Graphics	3
°ä³§°äÌý570	Computer Networks	3
´Ç°ùÌý°ä³§°äÌý573	Internet Protocols
°ä³§°äÌý574	Computer and Network Security	3

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Master of Computer Science (MR) with Data Science Track

Course List

Code	Title	Hours
Required Courses		4
°ä³§°äÌý591	Special Topics In Computer Science (Foundations of Data Science)
°ä³§°äÌý600	Computer Science Graduate Orientation
Data Science		6
Any two courses from the "Algorithmics" Category listed below
Data Science Electives		9
Select three courses from at least two categories listed below
Computer Science Core Courses, Graduate Electives or Restricted Electives		12
Take any combination from the available categories listed below
Total Hours		31

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Algorithmics Category

Course List

Code	Title	Hours
°ä³§°äÌý505	Design and Analysis Of Algorithms	3
°ä³§°äÌý520	Artificial Intelligence I	3
°ä³§°äÌý522	Automated Learning and Data Analysis	3
°ä³§°äÌý720	Artificial Intelligence II	3
°ä³§°äÌý722	Advanced Topics in Machine Learning	3
°ä³§°äÌý591	Special Topics In Computer Science (Topics include: Graph Data Mining; Spatial and Temporal Data Mining; Machine Learning for User Adaption; Advanced Algorithms; Algorithms for Data Guided Business Intelligence)	1-6
°ä³§°äÌý791	Advanced Topics In Computer Science (Topics include: Graph Data Mining; Spatial and Temporal Data Mining; Machine Learning for User Adaption; Advanced Algorithms; Algorithms for Data Guided Business Intelligence)	1-6

Systems Category

Course List

Code	Title	Hours
°ä³§°äÌý540	Database Management Concepts and Systems	3
°ä³§°äÌý541	Advanced Data Structures	3
°ä³§°äÌý547	Cloud Computing Technology	3
°ä³§°äÌý548	Parallel Systems	3
°ä³§°äÌý591	Special Topics In Computer Science	1-6
°ä³§°äÌý724	Advanced Distributed Systems	3
°ä³§°äÌý742	Advanced Topics in Database Management Systems	3
°ä³§°äÌý750	Service-Oriented Computing	3

Applications Category

Course List

Code	Title	Hours
°ä³§°äÌý530	Computational Methods for Molecular Biology	3
°ä³§°äÌý554	Human-Computer Interaction	3
°ä³§°äÌý555	Social Computing and Decentralized Artificial Intelligence	3
°ä³§°äÌý561	Principles of Computer Graphics	3
°ä³§°äÌý591	Special Topics In Computer Science (Topics Include: Spoken Dialogue Systems; Intelligent Game Learning; Educational Data Mining)	1-6

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Master of Computer Science (MR) with Security Track

Course List

Code	Title	Hours
Required Courses		4
°ä³§°äÌý574	Computer and Network Security
°ä³§°äÌý600	Computer Science Graduate Orientation
Security Core Courses		9
Select three courses from "Security Core Courses" listed below
Security Foundations Courses		9
Select three courses from at least two categories under "Security Foundations Courses" listed below
Computer Science Core Courses, Graduate Electives or Restricted Electives		9
Take any combination from the available categories listed below
Total Hours		31

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Security Core Courses

Course List

Code	Title	Hours
Select three of the following courses:		9
°ä³§°äÌý514	Foundations of Cryptography	3
°ä³§°äÌý515	Software Security	3
°ä³§°äÌý705	Operating Systems Security	3
°ä³§°äÌý774	Advanced Network Security	3
°ä³§°äÌý533	Privacy in the Digital Age	3
°ä³§°äÌý591	Special Topics In Computer Science (Specifically: Systems Attacks and Defenses)	1-6

Security Foundation Courses

Course List

Code	Title	Hours
Select three courses from at least two categories below:		9
Systems Foundations
°ä³§°äÌý501	Operating Systems Principles	3
°ä³§°äÌý510	Software Engineering	3
°ä³§°äÌý540	Database Management Concepts and Systems	3
°ä³§°äÌý548	Parallel Systems	3
°ä³§°äÌý570	Computer Networks	3
°ä³§°äÌý573	Internet Protocols	3
°ä³§°äÌý575	Introduction to Wireless Networking	3
°ä³§°äÌý712	Software Testing and Reliability	3
°ä³§°äÌý724	Advanced Distributed Systems	3
Theory Foundations
°ä³§°äÌý505	Design and Analysis Of Algorithms	3
°ä³§°äÌý512	Compiler Construction	3
°ä³§°äÌý541	Advanced Data Structures	3
°ä³§°äÌý565	Graph Theory	3
°ä³§°äÌý707	Automata, Languages and Computability Theory	3
°ä³§°äÌý722	Advanced Topics in Machine Learning	3
Privacy Foundations
°ä³§°äÌý522	Automated Learning and Data Analysis	3
°ä³§°äÌý554	Human-Computer Interaction	3
°ä³§°äÌý555	Social Computing and Decentralized Artificial Intelligence	3
°ä³§°äÌý591	Special Topics In Computer Science (Specifically: Foundations of Data Science)	1-6

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Master of Computer Science (MR) with Software Engineering Track

Course List

Code	Title	Hours
Required Courses
°ä³§°äÌý510	Software Engineering
°ä³§°äÌý600	Computer Science Graduate Orientation
Software Science Courses		9
Select three courses from "Software Science Courses" listed below
Software Foundations Courses		6
Select two courses from "Software Foundations Courses" listed below
Computer Science Core Courses, Graduate Electives or Restricted Electives		12
Take any combination from the available categories listed below
Thesis Research Projects		N/A
Thesis Research Project opportunities will be communicated by faculty
Total Hours		27

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Software Science Courses

Course List

Code	Title	Hours
Select three courses from the following:		9
°ä³§°äÌý515	Software Security	3
°ä³§°äÌý519	DevOps: Modern Software Engineering Practices	3
°ä³§°äÌý591	Special Topics In Computer Science	1-6
°ä³§°äÌý710	Software Engineering as a Human Activity	3
°ä³§°äÌý712	Software Testing and Reliability	3
°ä³§°äÌý791	Advanced Topics In Computer Science (Specifically: Automated Software Engineering)	1-6

Software Foundations

Course List

Code	Title	Hours
Select two courses from the following:		6
°ä³§°äÌý503	Computational Applied Logic	3
°ä³§°äÌý512	Compiler Construction	3
°ä³§°äÌý517	Object-Oriented Design and Development	3
°ä³§°äÌý520	Artificial Intelligence I	3
°ä³§°äÌý522	Automated Learning and Data Analysis	3
°ä³§°äÌý540	Database Management Concepts and Systems	3
°ä³§°äÌý547	Cloud Computing Technology	3
°ä³§°äÌý554	Human-Computer Interaction	3
°ä³§°äÌý750	Service-Oriented Computing	3

Additional Requirements

1. At least 21 hours must be in graduate 500- and 700-level Computer Science courses (note: the Graduate School does not allow 500- and 700-level courses to be taken pass-fail).
2. "Restricted elective" courses may be any graduate letter-graded (500- or 700-level) course within the College of Engineering (including Computer Science), or within the College of Sciences. Exceptions that will *not* count towards graduation:
   • ³§°ÕÌý511(if taken after Spring 2014)
   • special topics courses (including ·¡³Ò¸éÌý590) in departments other than Computer Science (if taken after Fall 2012).
3. All Computer Science credits must be at or above the 500 level.
4. To graduate, a student must have at least a 3.00 grade point average (GPA). In addition, for students beginning their degree on or after Fall 2013, the GPA in the group of courses used to satisfy the core course requirement must be at least 3.0 as well. For additional Graduate School requirements regarding degree completion see the Graduate School Handbook.
5. A maximum of four special topics courses (either °ä³§°äÌý591 or °ä³§°äÌý791) may be counted towards graduation (for students beginning Fall 2012 or later).
6. Registration by MCS students in Independent Study (CSC 630) requires approval by the faculty member who will supervise the work, followed by submission to the DGP of a one page written description of the topic and expected outputs, and approval of the DGP. A grade of "S" will require submission of a report describing the work done, and the results obtained. A maximum of three credits of °ä³§°äÌý630 may be counted towards graduation.
7. Minors are neither required nor permitted.

Accelerated Bachelor's/Master's Degree Requirements

The Accelerated Bachelors/Master’s (ABM) degree program allows exceptional undergraduate students at NC State an opportunity to complete the requirements for both the Bachelor’s and Master’s degrees at an accelerated pace. These undergraduate students may double count up to 12 credits and obtain a non-thesis Master’s degree in the same field within 12 months of completing the Bachelor’s degree, or obtain a thesis-based Master’s degree in the same field within 18 months of completing the Bachelor’s degree.

This degree program also provides an opportunity for the Directors of Graduate Programs (DGPs) at NC State to recruit rising juniors in their major to their graduate programs. However, permission to pursue an ABM degree program does not guarantee admission to the Graduate School. Admission is contingent on meeting eligibility requirements at the time of entering the graduate program.

Faculty