MSc in Computer Science
with two tracks
Artificial Intelligence Track
Cybersecurity Track
- Introduction
- Program Aims
- Learning Outcomes
- Career Opportunities
- Learning Path
- Graduation Requirements
- Program Accreditations
Kingdom University proudly offers the Master’s in Computer Science program, fully designed and delivered by the College of Information Technology. This program is structured to provide advanced knowledge, critical skills, and research opportunities in the rapidly evolving field of computer science. It is specifically tailored for graduates in computer science, information technology, engineering, and related disciplines who aspire to enhance their expertise and pursue specialized careers in academia, industry, or research-driven environments.
The program allows students to customize their learning experience by selecting one of the following specialized tracks:
- Track 1: Artificial Intelligence – Focused on intelligent systems, machine learning, and emerging AI technologies.
- Track 2: Cybersecurity – Concentrating on network security, data protection, and safeguarding digital infrastructures.
By combining rigorous coursework with research opportunities, the program equips graduates with the knowledge and skills required to excel in advanced technical roles and contribute to innovation in the field of computer science.
- Foster students’ analytical and thinking skills.
- Enhance graduates’ learning skills, allowing them to adapt to evolving technologies during their professional careers.
- Prepare students for employment and provide them with significant experience in developing real-world software applications.
- Contribute positively to society by adhering to ethical guidelines and professionalism when developing software systems and writing research papers.
- Develop students’ ability to conduct research in computer science, specifically in cybersecurity and artificial intelligence, and to publish articles in journals and conferences.
Knowledge and Understanding Skills
- Demonstrate critical knowledge and understanding of the concepts, principles, techniques, paradigms, and theories of computing.
- Demonstrate critical knowledge and understanding of research methodology in the domain of computer science.
- Demonstrate extensive knowledge and understanding of the current methods and trends in the domain of artificial intelligence and/or cybersecurity.
Subject-Specific Skills
- Use professional level skills to design, implement, and evaluate AI and/or cybersecurity computing-based solutions that can work in various platforms to meet desired needs within realistic constraints.
- Demonstrate creativity or originality in analyzing a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions
- Conduct research in the domains of AI and/or cybersecurity to solve real world problems.
Thinking skills
- Critically analyze large computing problems by identifying the required computational resources and algorithms for solving them.
- Undertake a critical evaluation in selecting the solution(s) of real-world problems using computing algorithms and applications
General And Transferable Skills (Other Skills Relevant To Employability And Personal Development)
- Function and communicate effectively as a member or a leader of a team engaged in activities appropriate to the program’s discipline.
- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
Artificial Intelligence: A master’s in Computer Science with an AI track opens doors to job titles such as:
- Machine Learning Engineer.
- Data Scientist.
- AI Research Scientist.
- AI Product Manager.
- Natural Language Processing (NLP) Engineer.
- Computer Vision Engineer
- AI Ethicist.
Cybersecurity: With increasing demand for digital protection, graduates can assume roles as:
- Penetration Testers.
- Cybersecurity analysts.
- Digital forensics specialists in public and private organizations.
- AI Ethicist.
Learning Path
- Academic and Research Careers: The research-intensive nature of the program prepares students for Ph.D. studies or academic positions where they can contribute to scholarly work and teach in higher education institutions.
- Professional Certifications or Short-Term Specialization: After a Master’s in CS specializing in AI, pursue certifications like the IBM Applied AI Professional Certificate or AWS Certified Machine Learning – Specialty for roles such as AI Engineer or Machine Learning Scientist. For a Cybersecurity track, options include the CISSP for leadership or CompTIA Security+ for entry-level roles like Cybersecurity Analyst, demonstrating expertise in network and data protection.
- Successful completion of 30 Credit Hours.
- Achieve Cumulative GPA of 3.0 and above.
Credits
30 Hours
Duration
Min. 1.5 Years – Max. 4 Years
Language
English
Delivery Mode
On Campus
Attendance Mode
Full Time
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