Identify fundamental mathematics relevant to data science and artificial intelligence.

Discuss a wide range of principles and tools available for software development, and use modern programming methodologies to handle data, big data, visual data, and data science and artificial intelligence applications.

Explain various principles of current applications and research areas including intelligent systems, databases, data science, data engineering, data mining, artificial intelligence, and many other advanced topics related to the specialization.

Identify ethical responsibilities and professional certifications required in the job market for the data science and artificial intelligence specialization, including (Quantum Computing, Machine and Deep Learning, Professional Certificate in IBM DATA SCIENCE).

Analyze a wide range of problems and provide solutions through appropriate algorithms and models, data engineering, graphs and their presentation methods, and other suitable approaches.

Ability to analyze data, handle it, and extract benefits from it in multiple fields.

Propose online courses for self-learning to prepare for obtaining professional certifications using websites such as (Kaggle and GitHub).

Plan a project in the fields of data science and artificial intelligence and write clear technical research.

Effectively use scientific literature and web resources.

Apply artificial intelligence tools using appropriate, modern, and advanced programming languages, and employ these tools to handle and analyze data.

Support an integrated approach to deploying communication skills to work effectively with others.

Work effectively with teams and individually.

Take personal responsibility for working on complex activities with multiple stages.