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Data Science and Artificial Intelligence

Program Duration

4 years

Credit Hours

120 Hours

The Data Science and Artificial Intelligence program is designed to provide students with the knowledge and skills to harness the power of data and intelligent systems to solve complex real-world problems. This interdisciplinary program combines principles of computer science, mathematics, and domain-specific knowledge to prepare students for the rapidly evolving fields of data-driven decision-making and AI technologies. 

Students in this program gain expertise in data analysis, machine learning, deep learning, natural language processing, data visualization, and big data technologies. They also learn to design, implement, and evaluate AI models and algorithms while addressing ethical and societal implications. The curriculum emphasizes practical, hands-on experience through projects, labs, and industry collaborations to ensure students are equipped to tackle challenges in diverse domains. 

Graduates of the Data Science and Artificial Intelligence program are prepared for roles such as: 

  • Developing machine learning models to solve industry-specific challenges. 
  • Analyzing complex datasets to extract insights and drive decision-making. 
  • Designing AI-powered solutions for natural language processing, robotics, and computer vision. 
  • Managing and processing large-scale data using advanced tools and technologies. 
  • Implementing predictive analytics and business intelligence strategies. 
  • Addressing ethical challenges and ensuring the responsible use of AI technologies. 

With a focus on innovation, critical thinking, and hands-on application, this program prepares students to lead advancements in data science and artificial intelligence across various industries. 

 

Program Objectives
  1. Graduates will build successful careers in data science and AI, leveraging their technical knowledge to design, develop, and deploy intelligent systems and data-driven solutions that address the needs of governmental and private sectors.
  2. Graduates will excel in their professional environments by demonstrating effective communication, collaborating successfully in teams, and adhering to professional ethics and social responsibility in their practice.
  3. Graduates will engage in continuous learning, staying abreast of advancements in data science and AI, and adapting to the rapidly evolving technological landscape to remain effective and innovative in their field.

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