Artificial Intelligence Engineering
Postgraduate Program | School of Engineering
Artificial Intelligence Engineering
Artificial Intelligence Engineering at Zewail City offers a structured postgraduate pathway designed to develop advanced expertise in artificial intelligence, machine learning, and intelligent systems. The program equips students with the knowledge and research skills needed to design and implement AI-driven solutions across industries including healthcare, communications, business, and technology.
Students progress through multiple academic milestones, starting from diploma levels and advancing toward a Master of Science degree, allowing flexibility while building strong academic and research foundations.
Why Study This Program
at Zewail City?
- Milestone-Based Academic Structure
Earn diplomas while progressing toward the M.Sc. degree - Interdisciplinary Research Environment
Collaborate across research institutes and centers - Research-Driven Learning
Develop research and publication skills - Applied-Driven Learning
Explore real-world AI applications across industries
Key Areas of Study
Students explore advanced topics including:
- Advanced machine learning and AI techniques
- Deep learning and emerging AI technologies
- Generative AI and natural language processing
- AI applications in computer vision and search systems
- AI in biomedical and healthcare applications
- AI in wireless communication systems
Available Degrees
Basic Diploma in Artificial Intelligence Engineering
Program Information
| Degree Type: Diploma |
Study Mode: Full Time |
Duration: 1–2 Semesters |
| Total Credit Hours: 12 |
Language of Study: English | School: School of Engineering |
Program Overview
The Basic Diploma in Artificial Intelligence Engineering introduces students to the principles and applications of artificial intelligence and machine learning. The program focuses on practical knowledge and tools that enhance competitiveness and support digital transformation across industries.
Graduates gain foundational knowledge in AI technologies and are prepared to apply AI solutions in business, industrial, and technological environments.
Program Educational Objectives
Graduates of the program will be able to:
- Lead projects focused on data analytics and AI applications
- Work within multidisciplinary teams to develop AI solutions across industries
Degree Requirements
Students must complete 12 credit hours of compulsory courses. Upon completion, students may progress to the Advanced Diploma in Artificial Intelligence Engineering. Required Courses
- AIE 501 — Artificial Intelligence Techniques
- AIE 502 — Machine Learning in Production
- AIE 503 — Deep Learning Techniques
- MATH 502 — Introduction to Optimization
| Basic Diploma in AIE Requirements (12 Cr) | ||||||
|---|---|---|---|---|---|---|
| Course Code | Course Title | Cr | L | P | Prerequisite | |
| AIE 501 | Artificial Intelligence Techniques | 3 | 3 | - | ||
| AIE 502 | Machine Learning in Production | 3 | 3 | - | ||
| AIE 503 | Deep Learning Techniques | 3 | 3 | - | ||
| MATH 502 | Introduction to Optimization | 3 | 3 | - | ||
Advanced Diploma in Artificial Intelligence Engineering
Program Information
| Degree Type: Diploma |
Study Mode: Full Time |
Duration: 1-2 Semsters |
| Total Credit Hours: 12 |
Language of Study: English | School: School of Engineering |
Program Overview
The Advanced Diploma in Artificial Intelligence Engineering builds on foundational knowledge and prepares students to design AI systems capable of operating in complex environments. The program emphasizes ethical AI, system design, and interdisciplinary applications.
Students gain advanced knowledge through elective courses and applied projects.
Program Educational Objectives
Graduates of the program will be able to:
- Lead advanced AI projects
- Develop innovative AI solutions
- Take leadership roles in professional careers
Degree Requirements
Students must complete 12 credit hours of elective courses:
- Minimum 9 credit hours from AI Engineering electives
- Up to 3 credit hours from related programs
Students who achieve a GPA of 3.0 or higher may proceed to: M.Sc. in Artificial Intelligence Engineering
M.Sc. in Artificial Intelligence Engineering
Program Overview
The M.Sc. in Artificial Intelligence Engineering is a thesis-based program designed to provide advanced technical knowledge and research skills in artificial intelligence. The program equips students with the ability to design, develop, and integrate AI systems across a wide range of real-world applications, including industrial systems, media technologies, and information systems.
Artificial intelligence plays an increasingly important role across industries. This program builds strong foundations in mathematics, computer science, and engineering systems to support the development of advanced AI technologies. Students gain expertise in areas such as deep learning, big data analytics, computer vision, natural language processing, medical imaging, and wireless communications.
The program is structured across three academic milestones totaling 36 credit hours:
- Basic Engineering Diploma — 12 Credit Hours
- Advanced Engineering Diploma — 12 Credit Hours
- M.Sc. Thesis — 12 Credit Hours
This structured pathway allows students to earn recognized diplomas while progressing toward a comprehensive Master of Science degree.
Students also explore the broader implications of artificial intelligence, including ethical, legal, social, and economic considerations, preparing them to develop responsible and trustworthy intelligent systems.
Research Tracks
The M.Sc. in Artificial Intelligence Engineering offers multiple research tracks that allow students to specialize in key areas of artificial intelligence.
Artificial Intelligence Systems Engineering
Focuses on the development and deployment of AI-based systems.
Key focus areas include:
- AI system development methodologies
- Testing and evaluation strategies
- Data and knowledge modeling
- System reliability and transparency
- Security and traceability of AI systems
Artificial Intelligence Applications
Focuses on applying AI technologies across real-world domains.
Key focus areas include:
- Speech and language processing
- Text and media analysis
- Business information systems
- Energy informatics
- Domain-specific AI solutions
Algorithm Engineering and Mathematical Modelling
Focuses on theoretical and algorithmic foundations of artificial intelligence.
Key focus areas include:
- Deterministic and stochastic algorithms
- Algorithm optimization and evaluation
- Mathematical modeling and complexity analysis
- Discrete mathematics and logic
- Functional analysis and stochastic methods
Program Mission
The M.Sc. in Artificial Intelligence Engineering aims to prepare highly qualified professionals with advanced knowledge and research capabilities in artificial intelligence. The program focuses on integrating AI technologies across disciplines and advancing innovation in intelligent systems and data-driven solutions.
Program Educational Objectives
Within a few years after graduation, graduates will be able to:
- Apply advanced artificial intelligence and data analytics techniques to solve complex challenges
- Work effectively in multidisciplinary teams to develop AI-driven solutions
- Demonstrate leadership and professional growth in their fields
- Contribute to innovation and advancement in artificial intelligence applications
Graduate Outcomes & Competencies
Upon completion of the program, graduates will be able to:
- Conduct advanced research in artificial intelligence
- Design, develop, and deploy AI-driven solutions
- Apply AI techniques to solve engineering and IT challenges
- Identify and solve complex engineering problems
- Design and conduct experiments and simulations
- Utilize modern engineering tools and technologies
- Develop cost-effective and sustainable AI solutions
- Work effectively in multidisciplinary teams
- Communicate technical concepts clearly
- Demonstrate innovation and leadership
- Manage engineering and research projects
- Engage in lifelong learning and professional development
Research Experience & Thesis
The research component forms the final stage of the M.Sc. program and consists of 12 credit hours dedicated to thesis research.
Students conduct original research under faculty supervision and collaborate with interdisciplinary teams and research institutes, connecting theoretical AI concepts with real-world engineering challenges.
Career & Academic Pathways
Graduates may pursue careers such as:
- AI Research Scientist
- AI Systems Engineer
- Academic Researcher
- Technology Innovation Leader
- PhD Researcher in Artificial Intelligence or related fields
Degree Requirements
The M.Sc. in Artificial Intelligence Engineering requires 36 credit hours:
- Basic Engineering Diploma — 12 Credit Hours
- Advanced Engineering Diploma — 12 Credit Hours
- M.Sc. Thesis — 12 Credit Hours
Students should consult their academic advisor regularly to ensure all program requirements are met.