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Professional Master

Professional Master’s in Criminal Sciences

The Professional Master’s in Criminal Sciences aims to prepare practitioners and analysts equipped with advanced capabilities to examine criminal facts, evaluate evidence and hypotheses, manage case-relevant information, and produce professional reports and pr...

Duration12 months
Credit hours36
DegreeProfessional Master
Language of studyArabic

About the program

The Professional Master’s in Criminal Sciences aims to prepare practitioners and analysts equipped with advanced capabilities to examine criminal facts, evaluate evidence and hypotheses, manage case-relevant information, and produce professional reports and projects grounded in scientific and ethical principles. The program provides an integrated treatment of the relationship between criminology, crime scene analysis, physical and digital evidence, behavioral science, applied research methodologies, and contemporary data analysis technologies.The curriculum focuses on cultivating critical thinking and the ability to assess evidentiary quality, audit conclusions, navigate incomplete or conflicting information, and define the boundaries of available knowledge. Trainees learn to leverage statistical analysis, information tools, and artificial intelligence in educational and professional projects while remaining mindful of risks related to bias, error margins, and data integrity. The program concludes with a comprehensive applied professional capstone project reflecting the student’s ability to define a problem, select an appropriate methodology, analyze information, and deliver documented findings alongside actionable recommendations.

Vision

To lead in preparing professional practitioners capable of advancing analytical practices in criminal sciences, integrating scientific methodology with modern technologies within responsible, dependable frameworks.

Mission

To deliver advanced professional education that merges specialized knowledge, applied research, and critical analysis, enabling learners to produce rigorous professional work upholding scientific integrity, individual rights, and legal and ethical standards.

Objectives

  • Deepen theoretical and applied knowledge across the criminal sciences.
  • Develop skills in evaluating competing evidence and hypotheses.
  • Enhance capabilities in analyzing complex criminal cases.
  • Cultivate applied research skills tailored to professional environments.
  • Deploy future-ready tools and artificial intelligence in responsible analytical workflows.
  • Elevate proficiency in information management, documentation, and report writing.
  • Embed an understanding of forensic ethics, data privacy, and evidentiary integrity.
  • Enable students to design a professional project founded on clear methodology and auditable findings.

Educational philosophy

The educational philosophy integrates specialized knowledge, practical application, and systematic inquiry. Rather than limiting study to theoretical constructs, students confront complex educational scenarios requiring them to formulate problems, evaluate data sources, compare alternative hypotheses, document results, and defend methodological choices.The pedagogical model relies on project-based learning, case studies, and critical seminars, supported by written assessments and professional presentations. Trainees are encouraged to use structured datasets and digital tools to support decision-making, with the clear understanding that automated outputs do not serve as standalone proof of an analytical conclusion. Students learn to distinguish between probabilistic indicators and verified facts, and between scientific interpretation and formal legal classification.The program emphasizes integrity, objectivity, mitigation of confirmation bias, data protection, respect for human rights, and meticulous documentation that permits third-party auditing. The final project serves as a metric for the synthesis of knowledge, research, and applied practice, rather than an abstract literature review.

Learning outcomes

  • Critically analyze and evaluate advanced theoretical frameworks and concepts in criminal sciences.
  • Assess evidence, intelligence, and hypotheses against established methodological criteria.
  • Deconstruct complex cases, identifying data deficiencies, anomalies, and contradictions.
  • Apply advanced principles of documentation, data preservation, and digital evidence handling.
  • Formulate applied research designs tailored to address specific professional questions.
  • Utilize data analysis instruments and emerging technical tools critically and responsibly.
  • Identify risks of analytical error, cognitive bias, and inferential limitations.
  • Draft professional reports and analytical briefs suitable for peer and institutional review.
  • Implement standards of confidentiality, privacy, due process, and scientific integrity.
  • Deliver a comprehensive professional project demonstrating rigorous methodology and verifiable results.
  • Present findings and articulate justifications and limitations before a professional audience.
  • Propose operational improvements based on structured analysis and appropriate data.

Career prospects

  • Conducting research and preparing studies within criminological and policy institutes.
  • Intelligence analysis, evidence evaluation, and knowledge management within authorized institutions.
  • Supporting compliance programs, risk management, and internal review functions within legal mandates.
  • Participating in crime data analysis projects focused on preventive policies and resource optimization.
  • Developing curricula and instructional materials across criminal justice domains.
  • Contributing to organizational initiatives optimizing evidence management and case filing systems.
  • Pursuing specialized certifications in digital forensics, predictive analysis, or related support specializations.

Curriculum

The study plan is under review.

Frequently asked questions

Is holding the Advanced Professional Diploma required for admission?
Not necessarily; applicants must satisfy the prior qualification standards established by the admitting institution. Professional and academic backgrounds are evaluated under approved admission guidelines.
Does the program include scientific research?
Yes. It features a dedicated course in applied professional research methodology, and students apply these principles directly to their final professional project.
What role does Artificial Intelligence play in the program?
Students learn to employ AI and data analytics tools to assist in data organization and generate preliminary indicators, with an emphasis on verifying algorithmic outputs and avoiding reliance on automated results as sole proof.
Can the program be completed ahead of schedule?
Early graduation may be considered after eight months provided the final capstone project is complete, all academic and administrative requirements across all courses are satisfied in full without exemptions, and formal approval is granted.
Does this qualification qualify graduates for academic Ph.D. programs?
It does not guarantee academic doctoral admission. Admission to Ph.D. programs depends entirely on the receiving university's evaluation of the credential and its specific academic criteria.
How are students assessed?
Assessment is based on exams, analytical assignments, case studies, technical reports, and the final project, evaluated on methodological rigor, documentation precision, and deductive validity.
Training Curriculum
The program spans four academic terms (semesters) comprising ten courses in total: three courses in each of the first three terms, followed by the capstone project course in the fourth term.

Admission requirements

  • Possession of a bachelor’s degree (first university degree) or a suitable qualification accepted by the admitting institution pursuant to its approved admissions policy.
  • Prior background in criminal sciences, law, security studies, psychology, sociology, data analytics, or related fields is preferred.
  • Proficiency in academic reading, analytical writing, and the use of digital tools.
  • Demonstrated ability to compile structured reports and engage with information critically.
  • Commitment to research and training ethics, data protection, confidentiality, and individual rights.
  • Submission of the completed application, supporting documentation, and participation in any interview or pre-assessment required by the institution.

Tuition & fees

Application fee$1,755.00

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