Arizona State University’s online Master of Computer Science with a concentration in cybersecurity program helps you develop the knowledge and skills needed to understand the problems within information assurance and security, as well as come up with potential solutions for these problems.
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Computer science and technology degrees for all interests. Our online computer science and technology offerings include programs in engineering, business, mathematics and other related interest areas. Students go beyond the fundamentals to take courses in emerging fields such as big data, artificial intelligence and cloud computing.
This course satisfies 3 credit hours toward the Computer/Statistics/Quantitative Applications (CS) General Studies requirement at Arizona State University. It is strongly encouraged that you consult with your institution of choice to determine how these credits will be applied to their degree requirements prior to transferring your credit.
Offered through an innovative partnership between Coursera and Arizona State University’s School of Computing and Augmented Intelligence, the online Master of Computer Science (MCS) is designed for students looking to expand their knowledge of computer science or computation. In this program, you’ll gain a deep understanding of advanced topics, like AI, cybersecurity and …
The computer science program is designed for students seeking to expand their knowledge of computer science or computation. This program reflects the dual nature of computer science as both a scientific and engineering discipline by placing emphasis on both theory and practical applications. The interdisciplinary strength of the program is enhanced by the opportunity for …
These degrees prepare you for jobs in computer programming, data management and cybersecurity, which are needed in many businesses. According to the U.S Bureau of Labor Statistics, computer and information technology occupations are projected to grow 13% from 2020 to 2030.
According to the U.S Bureau of Labor, computer science and technology occupations are projected to grow 12% in the next decade.
Arizona State University is a nationally recognized leader in innovation and online education. The Ira A. Fulton Schools of Engineering and the W. P. Carey School of Business have received honors including ranking top 10 for best online master’s in engineering programs and #1 for best online bachelor's in business programs by U.S. News & World Report, 2021. Our ASU Online programs also offer unparalleled support services to help you succeed.
Arizona State University is a nationally recognized leader in innovation and online education. The Ira A. Fulton Schools of Engineering and the W. P. Carey School of Business have received honors from U.S. News & World Report, including a top 15 ranking for business data analytics and computer information systems degrees. Our ASU Online programs also offer unparalleled support services to help you succeed.
This course satisfies 3 credit hours toward the Computer Science (CS) General Studies requirement at Arizona State University. It is strongly encouraged that you consult with your institution of choice to determine how these credits will be applied to their degree requirements prior to transferring your credit.
Hina teaches advanced data mining courses at the Graduate and Undergraduate level.
This course is an introductory course with a dual focus: one focus on organizations and another focus on the individuals who work for them. At the individual level, we will examine how business decision making can be improved when supporting technologies like spreadsheets are leveraged. From the organizational perspective, we will cover strategic analysis frameworks and business strategies that can be fine-tuned for competition in an increasingly digitally transformed world.
The ASU MCS online is a non-thesis degree that requires 30 credit hours of coursework. Students receive lectures through the Coursera platform, but are advised and assessed by ASU faculty and teaching assistants on the rigorous set of assignments, projects, and exams required for university degree credit. Additional computer science options ...
The Master of Computer Science is an advanced degree program offered fully online by Arizona State University through the Coursera learning platform. The ASU MCS online program is a good fit for students with an undergraduate education in computing or a related discipline who would like to extend their knowledge of computer science as a scientific and engineering discipline. The ASU MCS online program also allows students employed in industry an opportunity to broaden their knowledge through an advanced education in computer science.
Through the pathway, you choose and complete any three 500-level courses that are part of the Master of Computer Science program. The courses you complete in the pathway with a “B” or higher will apply toward the master’s degree in computer science, if admitted within three years of completing courses as a nondegree student.
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Students joining the MCS program are expected to have programming knowledge in a variety of languages, including but not limited to: C/C++ Java, Python and HTML .
The Online Master of Computer Science (MCS) program, offered through an innovative partnership between ASU’s School of Computing, Informatics, and Decision Systems Engineering and Coursera, is a rigorous computing degree. You’ll gain a deep understanding of advanced topics like AI, cybersecurity, and big data while strengthening your new skill set through real-world projects.
Two (2) semesters of advanced math in Calculus I and Calculus II, and a background in discrete math.
The computer science program is designed for students seeking to expand their knowledge of computer science or computation. This program reflects the dual nature of computer science as both a scientific and engineering discipline by placing emphasis on both theory and practical applications. The interdisciplinary strength of the program is enhanced by the opportunity for students to have a concentration in cybersecurity or art, media and engineering.
The big data systems concentration under the Master of Computer Science (MCS) degree is designed for graduate students who want to pursue a thorough education in the area of big data systems.
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 nonrepudiation. This includes providing restoration of information systems by incorporating protection, detection and reaction capabilities.
The Master of Science (MS) program with a concentration in cybersecurity is designed for graduate students who want to pursue a thorough education in the area of cybersecurity and information assurance. The goal of this concentration is to provide students the knowledge and skills in science and engineering for cybersecurity, including computer and network security, software security, data and information security, applied cryptography and computer forensics.
The MCS is an advanced degree program targeted at students with an undergraduate education in computing and related disciplines who can best profit from further breadth and background in computer science.
Graduates will be able to choose and deploy the appropriate data management processing and analysis systems with a suitable structured or unstructured data model that a particular task and domain application needs. There is a growing need for data scientists and engineers who can architect, implement and manage large data systems, and graduates of this program will have a competitive advantage in securing employment.
ASU has been certified as a National Center of Academic Excellence in Information Assurance Education and a National Center of Academic Excellence in Information Assurance – Research by the National Security Agency and the Department of Homeland Security.
The Computer Science program focuses on the design of computers, computational processes for problem solving, and information transfer and transformation with an emphasis in improving software and system quality, security, performance and usability. The program supports the evolution of the computing and informatics disciplines, and the integration of computer and information sciences with engineering, science and other disciplines.
Computer Science students are required to complete 6 hours of upper division technical electives with a grade of “C” or better. Students can choose from the list of courses below. Please note that some courses may require additional prerequisites and approvals to register. Students can contact their advisor for details on how to request overrides for non-SCAI classes.
CS students are recommended to take the CSE 294 or CSE 259 Logic for Computer Science course in place of MAT 267 to better assist with their upper level programming courses.
12 semester hours are required for the degree. Eight (8) semester hours must be from the same subject area (or discipline). Four (4) semester hours can be from any of the remaining Lab Science Course Options.
Arizona State University has adopted an 8 semester tracking model, which monitors completion of “critical” lower division and “necessary” upper division courses specific to each degree. This set of courses was designed to serve as predictors of academic success in the degree program. The lower division “critical” courses are shaded grey on the flowcharts and indicated on the major map. Upper division “necessary” courses are indicated with stars on the major maps. All courses listed on both the major map and the flowchart are required.
One Class Upper Division (HU or SB) – 3 semester hours ~ MUST BE TAKEN AT A 4-YEAR INSTITUTION
Computer Science, MS: The Master of Science in computer science is a research-oriented degree, ideal for students with undergraduate education in computer science or related studies. This degree features advanced course work and a strong emphasis on student research. The M.S. program provides numerous opportunities for interdisciplinary study. Within this degree, students can concentrate their studies in the following areas: arts, media and engineering, and cybersecurity.
Official GRE General test scores taken within the last five years.** Click here for the average GRE scores for applicants. The ASU institution code is: 4007. If a department code is required use: 000.
SCAI requires that TOEFL scores must be above 575 (paper), or 90 (iBT). We also accept IELTS with a minimum overall band scores of 7.0 or the Pearson Test of English (PTE) with a minimum score of 65 or higher. Please see the Graduate Admissions website for TOEFL deadline dates. The ASU institution code is: 4007. If a department code is required use: 000.
Academic credentials (all international records must be submitted in the original language accompanied by an official English translation). If you have attended a U.S. institution, one set of official transcripts from every college and university attended, except ASU.
Nikpourian: Computer science blends the worlds of mathematics, language and art to model a problem and then solve it using programming methods. The general computer science field can be broken down into many different areas of depth, from embedded hardware programming to artificial intelligence models being trained and running in the cloud.
Message and data rates may apply. Consent is not required to receive services, and I may call ASU directly at 866-277-6589. I consent to ASU’s mobile terms and conditions, and Privacy Statements, including the European Supplement.
Nikpourian: Machine learning is a subfield of Artificial Intelligence that allows machines to learn through the use of data, observations, and interaction with the real world instead of being explicitly programmed to do so.
Students enrolled in the computer science BS with a concentration in software engineering will learn development of distributed software, service-oriented applications, modeling notations, software architectures and other tools and skills necessary to work as a software engineer or software task leader on both large and small projects.
The goal of this concentration is to provide students the knowledge, skills and the advanced development capability in science and engineering for cybersecurity, including computer and network security, software security, data and information security, applied cryptography and computer forensics.
ASU academic programs are designed to prepare students to apply for applicable licensure or certification in Arizona. Completion of an ASU program may not meet education requirements for license or certification in another state.
Computer systems engineers are employed in industry, government, education and consulting and are concerned with the design, development and operation of hardware and software components of a computer system.
They work on the development verification and testing of computer hardware and software, from chips to device controllers and embedded systems. Computer engineers frequently find jobs that involve designing new applications of computers and other devices, such as those used in:
The computer systems engineering, BSE program at Arizona State University is accredited by the Computing Accreditation Commission of ABET, http://www.abet .org. Student enrollment and graduation data are available at engineering.asu.edu/enrollment.
ASU makes every effort to ensure information about educational requirements for licensure or certification information is current; however, state requirements may change. Separate from educational requirements, state licensure boards may require applicants to complete professional examinations, background checks, years of professional experience, jurisprudence exams, etc. If you are planning to pursue professional licensure or certification in a state other than Arizona, it is strongly recommended that you visit the ASU Professional Licensure website for contact information of the appropriate licensing entity to seek information and guidance regarding licensure or certification requirements.