The proposal has been structured in compliance with accreditation requirements, which necessitate a clear articulation of the program's justifications, labor market analysis, mission and objectives, learning outcomes, course listings and descriptions, credit hour allocation, educational system, and admission criteria.

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:Justifications for Program Introduction

The world is undergoing a radical transformation in the nature of crime and the means of its perpetration. Criminal acts are no longer confined to conventional offenses but have extended into cyberspace, digital environments, and intelligent systems. New patterns of crime have emerged, including cyber intrusions, digital extortion, data theft, manipulation of digital evidence, electronic fraud, digital financial crimes, deepfakes, and identity impersonation using artificial intelligence tools.

Consequently, there is an emerging need for a specialized master's program that integrates criminal law, cybersecurity, and artificial intelligence. Such a program should not be limited to the study of traditional legal texts but should also address the nature of digital crimes, the evidential weight of electronic evidence, criminal liability for intelligent systems, data protection, and legal safeguards in cyber investigations.

The Master of Criminal Law in Cybersecurity and Artificial Intelligence responds to the growing demand to prepare legal professionals capable of addressing emerging crimes, understanding the legal, technical, and ethical dimensions associated with modern technology.

Furthermore, the delivery of the program through distance education is consistent with the nature of the target audience, particularly those working in the judiciary, public prosecution, legal practice, security agencies, technical institutions, and researchers who require a flexible program that allows them to pursue studies without interrupting their professional commitments.

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Program Significance and Alignment with Distance Education and the Labor Market

The significance of the program derives from its integration of three fields that are closely interconnected with contemporary realities:

• Criminal Law as the regulatory framework governing crime, punishment, and accountability.

• Cybersecurity as the field concerned with protecting systems and data from digital attacks.

• Artificial Intelligence as a modern tool that can be utilized in the administration of justice or in the perpetration of novel offenses.

The program is particularly well-suited for distance education, as its content relies on digital lectures, analysis of simulated legal cases, case studies, electronic discussions, legal databases, and simplified virtual laboratories for understanding digital evidence and cyber investigations.

The labor market demand for graduates of the program is evident in the following areas:

1. Judiciary and Public Prosecution in cases with digital dimensions.

2. Legal Practice and Consultancy in cybercrime cases.

3. Cybercrime and Digital Evidence Units.

4. Security and Police Institutions.

5. Banks and corporations requiring cyber legal compliance.

6. Data Protection and Privacy Institutions.

7. Universities and Legal and Technical Research Centers.

8. Technology and Cybersecurity Companies requiring legal expertise.

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Program Vision and Mission

Vision:
To achieve leadership in preparing legal experts and researchers specialized in criminal law pertaining to cybersecurity and artificial intelligence, capable of keeping pace with the transformations of crime and justice in the digital age, and contributing to the construction of a secure, fair, and intelligent legal system.

Mission:
The Master of Criminal Law in Cybersecurity and Artificial Intelligence program at the Virtual University for Distance Education aims to provide advanced digital legal education that integrates traditional criminal knowledge with cybersecurity and artificial intelligence expertise. This prepares graduates to understand digital crimes, analyze electronic evidence, assess criminal liability for intelligent systems, and protect rights and freedoms in the digital space, within a flexible and effective electronic learning environment.

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Program Objectives

The program aims to:

1. Prepare legal professionals specialized in criminal law related to cybersecurity and artificial intelligence.

2. Enable students to understand and analyze cybercrimes in light of national and comparative criminal legislation.

3. Equip students with the necessary knowledge regarding digital evidence, its evidential weight, and conditions for admissibility before courts.

4. Examine criminal liability arising from the use of artificial intelligence systems and algorithms.

5. Enhance students' understanding of the relationship between cybersecurity, privacy, data protection, and human rights.

6. Develop research skills in digital criminal law and emerging crimes.

7. Prepare graduates capable of providing legal counsel to institutions on matters of digital crime and cyber compliance.

8. Enable students to employ digital education tools and electronic research in the study of contemporary criminal cases.

9. Contribute to the development of criminal legislation and policies concerning technology and artificial intelligence.

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Program Learning Outcomes

Upon successful completion of the program, the graduate is expected to be able to:

1. Knowledge and Understanding:

1. Explain the fundamental concepts of traditional and digital criminal law.

2. Interpret legislation related to cybercrimes and cybersecurity.

3. Understand the nature of digital evidence and its conditions of legitimacy and admissibility.

4. Distinguish between traditional crimes, cybercrimes, and AI-based crimes.

5. Clarify the legal issues concerning criminal liability for intelligent systems.

6. Understand the relationship between cybersecurity, privacy, data protection, and human rights.

 

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2. Intellectual and Analytical Skills:

1. Analyze criminal cases with cyber and technical dimensions.

2. Evaluate the legality of collecting and using digital evidence in criminal proceedings.

3. Critique existing legislation and propose amendments to address emerging crimes.

4. Analyze the legal and ethical risks of using artificial intelligence in criminal justice.

5. Study cases involving intrusion, digital extortion, deepfakes, and data breaches.

 

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3. Practical and Professional Skills:

1. Prepare legal memoranda in cybercrime cases.

2. Analyze digital evidence reports from a legal perspective.

3. Formulate legal opinions on criminal liability for harms caused by intelligent systems.

4. Handle digital criminal investigation scenarios in accordance with legal safeguards.

5. Provide legal counsel to institutions on data protection and cyber compliance matters.

 

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4. General and Transferable Skills:

1. Work effectively within interdisciplinary teams comprising legal, technical, and security professionals.

2. Communicate effectively in presenting digital legal cases.

3. Utilize e-learning platforms and legal databases.

4. Adhere to professional legal ethics and scientific research standards.

5. Produce applied scientific research that serves the justice system and digital security.

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Proposed Study Plan

The plan consists of 36 credit hours, consistent with the minimum credit hour requirement for a master's degree as per the accreditation model, which stipulates that a master's degree is awarded upon completion of 36 credit hours or equivalent, along with a thesis or comprehensive examination.

The original plan for the Master of Criminal Law, which follows a semester system and includes a Master's Thesis in the final semester, has been used as a foundation, with course development to suit the cybersecurity and artificial intelligence specialization.

Credit Hour Distribution

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Year One – Semester One

Year One – Semester Two

Year Two – Semester Three

Year Two – Semester Four

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Proposed Elective Courses

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Course Descriptions

1. Introduction to Digital Criminal Law – 3 Hours
This course covers the fundamental principles of criminal law in light of digital transformation, focusing on the evolution of concepts of crime, liability, and punishment in the digital environment. It also discusses the impact of technology on shaping new patterns of criminal behavior.

2. Cybercrimes and Comparative Legislation – 3 Hours
This course examines various forms of cybercrimes, such as hacking, electronic extortion, data theft, identity theft, electronic fraud, attacks on information systems, and transnational cybercrimes. It also analyzes comparative legislation in this field.

3. Research Methods in Criminal Law and Digital Security – 3 Hours
This course introduces students to legal and criminal research methodologies, with emphasis on designing research related to cybercrimes and artificial intelligence. It covers skills in formulating research problems, analyzing legal texts, case studies, and documenting references.

4. Cybersecurity and Protection of Digital Infrastructure – 3 Hours
This course addresses fundamental concepts in cybersecurity, protection of systems and networks, digital risk management, incident response, and the impact of cyber-attacks on institutions from a legal and regulatory perspective.

5. Digital Evidence and Electronic Criminal Proof – 3 Hours
This course examines the nature of digital evidence, its sources, conditions of legitimacy, methods of collection and preservation, the chain of custody, and the admissibility of electronic messages, digital records, mobile phone data, and server logs before courts.

6. Artificial Intelligence and Criminal Liability – 3 Hours
This course discusses criminal liability for harm or crimes arising from the use of artificial intelligence systems, including automated decisions, algorithmic bias, deepfakes, and crimes committed using AI tools.

7. Cyber Criminal Investigation and Electronic Seizure Procedures – 3 Hours
This course focuses on legal procedures for investigating cybercrimes, electronic search and seizure, digital tracking, cooperation with service providers, and safeguarding the rights of the accused and the victim during the investigation.

8. Human Rights and Privacy in Cyberspace – 3 Hours
This course explores the relationship between combating digital crime and protecting fundamental rights and freedoms, such as privacy, data protection, freedom of expression, the right to be forgotten, and digital surveillance, with emphasis on the balance between security and liberty.

9. Master's Thesis / Applied Project – 6 Hours
Students prepare a scientific thesis or an applied project on a topic within the program's scope, such as cybercrimes, digital evidence, artificial intelligence and criminal liability, digital privacy, data protection, or deepfakes.

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E-Learning System and Assessment

Study System:
The program is delivered through an accredited digital e-learning platform enabling students to attend synchronous lectures, access recorded lectures, submit assignments, participate in discussions, take examinations, and communicate with faculty members.

 

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Distance Learning Mechanisms:

1. Live Electronic Lectures.

2. Recorded Lectures available to students.

3. Electronic Discussion Forums.

4. Digital Case Analysis via the platform.

5. Proctored Electronic Examinations.

6. Presentations and Discussions via Video Conferencing.

7. Simplified Virtual Laboratories for Digital Evidence.

8. Electronic Supervision of Theses and Research Projects.

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Assessment Methods:

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Admission Requirements

Admission to the program requires the following:

1. A Bachelor's degree from a recognized university.

2. The applicant's undergraduate major should be in Law, Sharia and Law, Police Sciences, Criminal Justice, Cybersecurity, Information Technology, Information Systems, or a related field.

3. Fulfillment of the postgraduate admission requirements of the Virtual University for Distance Education.

4. Applicants with technical backgrounds may be admitted after completing compensatory courses in Principles of Criminal Law.

5. Applicants with legal backgrounds may be admitted after completing a compensatory course in Introduction to Cybersecurity and Information Technology.

6. Successful completion of the interview or entrance examination, if required.

7. Basic proficiency in computer use and e-learning platforms.

8. An adequate level of English language proficiency to utilize specialized terminology and references.

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Graduate Specifications and Career Opportunities

Graduate Specifications:
The program's graduate is expected to be able to:

1. Analyze cybercrimes from a criminal law perspective.

2. Understand the fundamentals of cybersecurity and apply them to interpret digital criminal cases.

3. Evaluate digital evidence regarding legality, admissibility, and procedural integrity.

4. Address issues related to artificial intelligence and criminal liability.

5. Prepare legal and research memoranda on digital crimes.

6. Provide legal counsel on data protection and cyber compliance matters.

 

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Career Opportunities:

1. Judiciary and Public Prosecution.

2. Legal Practice and Consultancy.

3. Cybercrime and Cyber Units.

4. Security and Police Institutions.

5. Legal Compliance Units in Banks and Corporations.

6. Data Protection and Privacy Institutions.

7. Legal and Cyber Research Centers.

8. Universities and Higher Education Institutions.

9. Technology and Cybersecurity Companies.

10. Digital Transformation and Governance Units in Public and Private Institutions.

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Required Human and Technical Resources

1. Human Resources:
The program requires a multidisciplinary teaching team, including:

1. Professor of Criminal Law.

2. Professor of Criminal Procedure.

3. Professor of Cybercrime or Digital Law.

4. Professor of Artificial Intelligence and Law.

5. Professor of Human Rights and Privacy.

6. Expert in Cybersecurity.

7. Expert in Digital Evidence and Digital Criminal Investigation.

8. Supervisors for Master's Theses and Applied Projects.

Accreditation requirements necessitate the inclusion of faculty names, precise specializations, and curricula vitae in the program file.

 

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2. Technical Resources:
The program requires the provision of:

1. Accredited E-Learning Platform.

2. Learning Management System (LMS).

3. Virtual Classrooms for Synchronous Lectures.

4. Digital Legal and Technical Library.

5. Legal Databases (Arabic and Foreign).

6. Security Tools for Electronic Examinations.

7. Simplified Virtual Laboratory for Training in Digital Evidence Understanding.

8. Technical Support for Students and Faculty.

9. Electronic System for Thesis and Project Supervision.

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Conclusion and Recommendation for Program Accreditation

The Master of Criminal Law in Cybersecurity and Artificial Intelligence represents a qualitative addition to the postgraduate programs offered by the Virtual University for Distance Education. It uniquely integrates criminal law, cybersecurity, and artificial intelligence within a modern academic framework that keeps pace with the transformations of crime and justice in the digital age.

The program offers the university an opportunity to excel by introducing a contemporary and distinguished specialization that serves labor market needs and provides judicial, security, and technical institutions with graduates capable of understanding digital crimes, analyzing electronic evidence, addressing criminal liability for intelligent systems, and protecting rights and freedoms in cyberspace.

Based on the foregoing, it is recommended that the Master of Criminal Law in Cybersecurity and Artificial Intelligence be accredited as a postgraduate program at the Virtual University for Distance Education, given its scientific, professional, and societal significance, and its alignment with contemporary trends in higher education, digital transformation, and smart justice.

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What are the registration and certification fees for this program

• Basic Tuition Fee: $3500 USD, divided into 6 installments over the study period until before the thesis defense Each installment is $585.
• College Registration Fee and Issuance of Acceptance Letter: $75 (one-time payment upon registration).
• Discounts:
  A 15% discount is granted upon enrollment at the university when paying tuition fees in installments at the beginning of each semester.
  A 25% discount is granted when paying the full tuition fees in one payment after receiving the admission letter from the university.

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