Qassim University

What you'll study

The programme blends core AI theory with applied topics and a research component. Typical modules include:

• Machine Learning: supervised and unsupervised learning methods, model selection and evaluation.
• Deep Learning: neural network architectures, convolutional and recurrent networks, and practical training on modern frameworks.
• Natural Language Processing: language models, text analytics, and applied NLP techniques for Arabic and English.
• Computer Vision: image processing, object detection and visual recognition tasks.
• Data Mining and Big Data Analytics: feature engineering, clustering, scalable data processing and databases.
• Optimization and Mathematical Foundations: optimisation algorithms, probability, statistics and linear algebra for AI.
• AI Ethics and Governance: responsible AI, privacy, fairness and regulatory considerations.
• Research Methods and Seminar: scientific writing, experimental design and presentation skills.
• Capstone Project / Thesis: an original research project or an applied development project supervised by faculty, allowing students to specialise in an area of interest.

The programme typically combines taught modules with a significant research or project component, enabling students to build a portfolio of practical work and to prepare for either industry roles or further research at doctoral level.

Entry requirements

Applicants should normally hold a recognised bachelors degree in computer science, software engineering, electrical engineering, information systems, mathematics or a closely related discipline. Typical requirements include:

• A satisfactory undergraduate academic record from an accredited institution.
• Competence in programming and basic mathematical foundations (calculus, linear algebra, probability/statistics).
• Evidence of English language proficiency where required by the Faculty (for candidates whose prior education was not in English).
• Some applicants may be asked to attend an interview or provide a statement of purpose and letters of recommendation; relevant work experience can strengthen an application.

Applicants with a related bachelors degree but lacking certain prerequisites may be admitted conditionally and asked to complete preparatory undergraduate modules.

Career prospects

Graduates from the MSc in Artificial Intelligence go on to roles across industry, government and academia. Common career paths include:

• Machine Learning Engineer or AI Engineer developing models for production systems.
• Data Scientist or Data Analyst working on analytics, modelling and decision support.
• Research Scientist or PhD candidate pursuing advanced research in AI and related fields.
• Specialist roles in natural language processing, computer vision, robotics, and intelligent systems.
• Consultant or technical lead in sectors such as healthcare, finance, manufacturing, education and smart cities.

The programmes combination of practical projects and research supervision helps graduates present demonstrable technical skills to employers and positions them to contribute to AI initiatives across the region.

Why study at Qassim University

Qassim University is a major public university in Saudi Arabia with a growing focus on information technology and artificial intelligence research. Students benefit from experienced faculty in computer science and engineering, dedicated laboratories, and collaborative ties with regional industry and government organisations.

The university provides a learning environment that supports applied research relevant to local and regional challenges, including Arabic-language computing and domain-specific AI applications. Facilities such as computing labs and access to research projects give students the opportunity to gain hands-on experience and build professional networks.

For students seeking postgraduate study in AI with a balance of theory and practice, Qassim University offers a programme designed to prepare graduates for both immediate employment and further academic study.