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Cybersecurity (MS) with an Emphasis in Artificial Intelligence

Cybersecurity (MS) with an Emphasis in Artificial Intelligence

Webster University

Location

United States of America

Qualification

Post Graduate(PG)

Fees

Duration

2.5 years

Next intake

Fall, Summer, Spring

Entry score

2.5 (on a 4.0 scale)

Education at the graduate level builds on undergraduate knowledge, fostering advanced skills, theoretical understanding, and critical thinking in cybersecurity. This program focuses on mastering cybersecurity techniques to protect networks and systems, analyze attacks, and conduct forensic evaluations. ๐Ÿ›ก๏ธ๐Ÿ”

To enter this degree program, students need an undergraduate degree in Computer Science, Management Information Systems, Information Technology, or a related field, with a foundation in software programming, network management, and systems operations. ๐Ÿ–ฅ๏ธ๐Ÿ”ง Professional experience may also be considered. Proficiency in written and oral communication is essential. โœ๏ธ๐Ÿ—ฃ๏ธ

The Master of Science (MS) in Cybersecurity with an emphasis on Artificial Intelligence prepares students for roles in both public and private sectors, focusing on the analysis, management, and protection of critical systems, information, networks, and infrastructures. ๐Ÿ›๏ธ๐Ÿ”

Students will gain expertise in various areas including social engineering techniques, network defenses, malware methods, critical infrastructure protection, fraud prevention, digital forensics, and threat detection. ๐Ÿค–๐Ÿ›ก๏ธ

The program also covers Artificial Intelligence (AI) and Machine Learning, with practical applications in cybersecurity. Students will use Python to address AI-related challenges and explore Deep Learning to support diverse disciplines. ๐Ÿ“Š๐Ÿ’ก

Please note, students cannot pursue dual majors due to the program’s technical demands, but may apply for sequential degrees provided they do not overlap core courses. ๐Ÿšซ๐ŸŽ“

Upon completion of the program, students will be able to:

  • Defend Networks and Systems: Develop and implement cybersecurity techniques to effectively defend against cyber threats and attacks. ๐Ÿ”’๐Ÿ’ป
  • Analyze Cyber Attacks: Conduct detailed analyses of cyber attacks to understand methods and implications. ๐Ÿ•ต๏ธโ€โ™‚๏ธ๐Ÿ”
  • Perform Forensic Evaluations: Apply forensic techniques to investigate and resolve cybersecurity incidents. ๐Ÿงช๐Ÿ”ง
  • Apply AI and Machine Learning: Utilize AI and Machine Learning, including Python and Deep Learning, to address cybersecurity challenges. ๐Ÿค–๐Ÿ’ก
  • Understand Social Engineering: Recognize and counteract social engineering techniques used in cyber threats. ๐Ÿง ๐Ÿ”—
  • Enhance Critical Infrastructure Protection: Implement strategies to protect critical infrastructure from cyber threats. ๐Ÿ›๏ธ๐Ÿ›ก๏ธ
  • Combat Fraud and Theft: Identify and prevent fraud and theft within digital environments. ๐Ÿšซ๐Ÿ’ฐ
  • Conduct Digital Forensics: Execute digital forensic processes to gather and analyze evidence in cybersecurity investigations. ๐Ÿ“‚๐Ÿ”
  • Develop Threat Detection Strategies: Design and implement effective threat detection systems to safeguard digital assets. ๐Ÿšจ๐Ÿ›ก๏ธ

This comprehensive program equips students with the skills and knowledge necessary to excel in the evolving field of cybersecurity with a strong foundation in artificial intelligence and machine learning.

Education at the graduate level builds on undergraduate knowledge, fostering advanced skills, theoretical understanding, and critical thinking in cybersecurity. This program focuses on mastering cybersecurity techniques to protect networks and systems, analyze attacks, and conduct forensic evaluations. ๐Ÿ›ก๏ธ๐Ÿ”

To enter this degree program, students need an undergraduate degree in Computer Science, Management Information Systems, Information Technology, or a related field, with a foundation in software programming, network management, and systems operations. ๐Ÿ–ฅ๏ธ๐Ÿ”ง Professional experience may also be considered. Proficiency in written and oral communication is essential. โœ๏ธ๐Ÿ—ฃ๏ธ

The Master of Science (MS) in Cybersecurity with an emphasis on Artificial Intelligence prepares students for roles in both public and private sectors, focusing on the analysis, management, and protection of critical systems, information, networks, and infrastructures. ๐Ÿ›๏ธ๐Ÿ”

Students will gain expertise in various areas including social engineering techniques, network defenses, malware methods, critical infrastructure protection, fraud prevention, digital forensics, and threat detection. ๐Ÿค–๐Ÿ›ก๏ธ

The program also covers Artificial Intelligence (AI) and Machine Learning, with practical applications in cybersecurity. Students will use Python to address AI-related challenges and explore Deep Learning to support diverse disciplines. ๐Ÿ“Š๐Ÿ’ก

Please note, students cannot pursue dual majors due to the program’s technical demands, but may apply for sequential degrees provided they do not overlap core courses. ๐Ÿšซ๐ŸŽ“

  • To enter the MS in Cybersecurity with an Emphasis in Artificial Intelligence, students must meet the following criteria:
    1. Educational Background: An undergraduate degree in Computer Science, Management Information Systems, Information Technology, or a related field. This should include knowledge of basic software programming, network management, and systems/development operations. ๐Ÿ–ฅ๏ธ๐Ÿ”ง
    2. Professional Experience: Relevant professional experience may be considered in lieu of some educational requirements. ๐Ÿข๐Ÿ’ผ
    3. Communication Skills: Proficiency in both written and oral communication is essential. โœ๏ธ๐Ÿ—ฃ๏ธ
    4. Certification: Applicants with an active Certified Information Systems Security Professional (CISSP) certification at the time of admission will be exempt from two core courses (CSSS 5100 and CSSS 5220). This exemption reduces the total required credit hours to 33. ๐ŸŽ“๐Ÿ”

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