Graduate Concentrations

Arts, Media and Engineering Concentration

The Arts, Media and Engineering program (AME) is a transdisciplinary network of faculty and students working under a common, use-inspired research and education agenda. AME emphasizes research on the integration of the human physical experience with computation and digital media. AME researchers produce experiential media systems and models that evolve human ability, facilitate learning, enhance scientific discovery, empower creativity, assist the disadvantaged and improve quality of life. Within these application areas, researchers explore sensing, perception and modeling, interaction and feedback, and experiential construction and knowledge creation.

The purpose of the AME concentration in computer science and engineering is to train hybrid engineering-arts graduates who get their inspiration from the arts and their methodology from computer science and engineering. The students will specialize in transdisciplinary media development.

Master of Science in Computer Science
Concentration Requirements

The MS program requires 30 credit hours, comprised of the following components:
CONCENTRATION CORE: 24 credit hours
Computer Science and Engineering Courses* (15 credit hours)
Arts, Media and Engineering Courses (9 credit hours)

AME courses be selected from current list of AME courses found at in consultation with the student's AME graduate advisor.
*AME concentration students are not eligible to take CSE 598 courses

Doctor of Philosophy in Computer Science
Concentration Requirements

The Ph.D. program requires 84 credit hours in which 36 hours focus on Arts, Media & Engineering. The 84 total credit hours of the program are comprised of the following components:
CONCENTRATION CORE: 54 credit hours
Computer Science and Engineering Courses* (54 credit hours)
Arts, Media and Engineering Courses (18 credit hours)

AME courses be selected from current list of AME courses found at in consultation with the student's AME Graduate Advisor.
* AME concentration students are not eligible to take CSE 598 courses.

Visit the AME web site for more information

 

Biomedical Informatics Concentration

This program is designed for graduate students who wish to specialize in such topics as genomics and computational systems biology. The concentration is interdisciplinary in nature, providing preparation that integrates technological expertise in the information sciences, computer science, bioscience and statistics with an understanding of the clinical environment of the healthcare professional. It will expose computer science students to current issues in clinical practice as well as the use of information systems in health-care settings.

Concentration Requirements

All CSE MS students are required to complete 30 credit hours. Students will take 15 credit hours of BMI coursework, which includes the 9 credit hours of required coursework as well as 6 credit hours of research and thesis work in Biomedical Informatics. Students will also complete 9 credit hours of CSE area courses in Foundations, Systems and Applications as well as 6 credit hours of CSE classes. Students can review the M.S. policies for more information.

Master of Science in Biomedical Informatics
Concentration Requirements

BMI 501 Introduction to Biomedical Informatics (3)
BMI 540 Problem Solving in Biomedical Informatics (3)
BMI 5XX Approved Elective in Biomedical Informatics (3)

Information Assurance Concentration

The program is designed for graduate students who want to pursue a thorough education in the area of information assurance. The goal of this concentration is to provide students the knowledge, skills and the advanced development capability in science and engineering for information assurance, including computer and network security, software security, data and information security, applied cryptography and computer forensics. Students will have a competitive advantage to secure employment.

According to the National Security Agency, information assurance is defined as the set of measures intended to protect and defend information and information systems by ensuring their availability, integrity, authentication, confidentiality and non-repudiation. This includes providing restoration of information systems by incorporating protection, detection and reaction capabilities.

In addition, the M.S. thesis must have a major portion of the content in the information assurance area. For information on internships and scholarship opportunities in information assurance, students can visit the National Security Agency’s Web site, www.nsa.gov.

Master of Science in Computer Science and Master of Computer Science
Concentration Requirements

A minimum of 15 credits in information assurance and related areas are required. Students must take the following 12 credits of coursework:

CSE 539: Applied Cryptography (3)
CSE 543: Information Assurance and Security (3)
CSE 545: Software Security (3)
CSE 548: Advanced Computer Network Security (3)

Students must choose one of the following courses:

CSE 466/598: Computer Systems Security (3)
CSE 467/598: Data and Information Security (3)
CSE 531: Distributed and Multi-Processor Operating Systems (3)
CSE 534: Advanced Computer Networks (3)

Doctor of Philosophy in Computer Science
Concentration Requirements

A minimum of 18 credits in information assurance and related areas are required. Students must take the following 12 credits of coursework:

CSE 539: Applied Cryptography (3)
CSE 543: Information Assurance and Security (3)
CSE 545: Software Security (3)
CSE 548: Advanced Computer Network Security (3)

Students must choose two of the following courses:

CSE 412/598: Database Management (3)
CSE 460/598: Software Analysis and Design (3)
CSE 466/598: Computer Systems Security (3)
CSE 467/598: Data and Information Security (3)
CSE 468/598: Computer Network Security (3)
CSE 512: Distributed Database Systems (3)
CSE 531: Distributed and Multi-Processor Operating Systems (3)
CSE 534: Advanced Computer Networks (3)
CSE 561: Modeling and Simulation: Theory and Applications (3)
CSE 571: Artificial Intelligence (3)
CSE 572: Data Mining (3)

 

More Information

For more information any of the concentrations, students can make an appointment with an advisor by calling the SCI Advising Center at 480.965.3199 or sending an email to sci.advising@asu.edu.