Computer Science MS

Director

Babak Forouraghi, PhD

Goal 1: Graduates succeed as practicing computer scientists.

Outcome 1.1:  Solve problems and implement their solutions in an appropriate computational environment.

Outcome 1.2:  Apply their knowledge of computer science, mathematics, and science to solve technical problems.

Outcome 1.3:  Design systems, components, or processes to meet specified requirements.

Outcome 1.4:  Work in teams to create various software systems, both large and small.

Outcome 1.5:  Communicate effectively, orally and in written form, individually and/or in teams.

Goal 2:  Graduates adapt and evolve in complex technological environments such as those found in the workplace.

Outcome 2.1:  Solve problems and implement their solutions in an appropriate computational environment.

Outcome 2.2:  Apply their knowledge of computer science, mathematics, and science to solve technical problems.

Outcome 2.3:  Design systems, components, or processes to meet specified requirements.

Outcome 2.4:  Work in teams to create various software systems, both large and small.

Outcome 2.5:  Analyze contemporary issues related to the evolving discipline of computer science.

Outcome 2.6:  Communicate effectively, orally and in written form, individually and/or in teams.

Goal 3:  Graduates are careful, precise, mature thinkers, and take with them the intellectual preparation they need to apply what they have learned, communicate it to others, and continue their education for the rest of their lives.

Outcome 3.1:  Enter and successfully complete Ph.D. programs in computing.

Outcome 3.2:  Solve problems and implement their solutions in an appropriate computational environment.

Outcome 3.3:  Apply their knowledge of computer science, mathematics, and science to solve technical problems.

Outcome 3.4:  Design systems, components, or processes to meet specified requirements.

Outcome 3.5:  Articulate the social, professional, ethical and legal aspects of a computing environment.

Outcome 3.6:  Analyze contemporary issues related to the evolving discipline of computer science.

Outcome 3.7:  Communicate effectively, orally and in written form, individually and/or in teams.

A student who receives a grade lower than a B in a core course must retake the course.

MS in Computer Science: General Option

A total of ten (six core and four elective) courses is the minimum required for the MS in Computer Science with General Option. Of these, a maximum of two courses may be for an approved research project.

Core Courses
Select six of the following:18
CSC 550
Objct Orint Dsgn & Data Struct
CSC 551
Design and Analysis
CSC 552
Computer Architecture
CSC 553
Computer Systems
CSC 610
Software Engineering
CSC 621
Database Systems
CSC 680
Artificial Intelligence
CSC 620
Internet App. Development
Elective Courses
Select any four CSC courses numbered 600 and more12

MS in Computer Science: Concentration Option

A total of ten (four core and six elective) courses is the minimum for obtaining an MS degree in Computer Science in one of the following concentrations:

  • Artificial Intelligence
  • Cybersecurity
  • Web and Database Technologies

Students who do not need prerequisite courses take the following two required core courses during their first and second semesters, respectively.

Core Courses
CSC 550Objct Orint Dsgn & Data Struct3
CSC 551Design and Analysis3
Elective Courses
Select two of the following:6
CSC 552
Computer Architecture
CSC 553
Computer Systems
CSC 610
Software Engineering
CSC 621
Database Systems
CSC 680
Artificial Intelligence
CSC 659
Intro to Cloud Computing
CSC 620
Internet App. Development

Artificial Intelligence Concentration

Select four of the following plus any two CSC courses numbered 600 and above:
CSC 680
Artificial Intelligence
CSC 688
Generative AI
CSC 643
Big Data and Web Intelligence
CSC 686
Introduction to Data Science
CSC 687
Advanced Data Science
CSC 672
Machine Learning
CSC 685
Advanced Machine Learning

Cybersecurity Concentration

Select four of the following plus any two CSC courses numbered 600 and above:
CSC 665
Intro to Cybercrime
CSC 668
Cybersecurity Core Domains
CSC 645
Intro to Ethical Hacking
CSC 652
Network Forensics
CSC 656
Info Security Mgmt Systems
CSC 667
Info Govern, Risk & Compliance

Web and Database Technologies Concentration

Select four of the following plus any two CSC courses numbered 600 and above:
CSC 620
Internet App. Development
CSC 621
Database Systems
CSC 622
Advanced Database Concepts
CSC 623
Data Comm and Networking
CSC 643
Big Data and Web Intelligence
CSC 647
Internet of Things
CSC 659
Intro to Cloud Computing