BSc Honours Artificial Intelligence and Data Science 36 months Undergraduate Programme By Middlesex University Dubai |TopUniversities
Programme Duration

36 monthsProgramme duration

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

An Introduction to the Programme

The BSc Artificial Intelligence and Data Science programme is an interdisciplinary degree that integrates core principles of Artificial Intelligence and Data Science to:

  • Provide you with a comprehensive understanding of the theoretical foundations and practical applications of Artificial Intelligence and Data Science in modern industries
  • Equip you with the knowledge and skills to design, develop, integrate, and maintain intelligent systems across diverse domains
  • Foster the ability to communicate effectively with both technical professionals and non-specialists, enabling collaborative and impactful project outcomes
  • Develop your proficiency in a broad range of technologies including programming languages, software design and development, algorithm design, machine learning, data analysis, search techniques, and knowledge representation
  • Enable you to adapt and evolve with the field by equipping you with critical thinking and independent learning skills to master emerging tools, techniques, and frameworks
  • Inculcate professional standards through an understanding of the legal, ethical, and social contexts of Artificial Intelligence and Data Science, with particular emphasis on data security, privacy, sustainability, equality, diversity, and inclusion

Graduates of this programme will be well-prepared for a wide range of careers in Artificial Intelligence, Data Science, Machine Learning Engineering, Intelligent Systems Development, and related roles. They will also be well-positioned to pursue postgraduate studies in fields such as Artificial Intelligence, Data Science, Robotics, and Human-centred Computing.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

An Introduction to the Programme

The BSc Artificial Intelligence and Data Science programme is an interdisciplinary degree that integrates core principles of Artificial Intelligence and Data Science to:

  • Provide you with a comprehensive understanding of the theoretical foundations and practical applications of Artificial Intelligence and Data Science in modern industries
  • Equip you with the knowledge and skills to design, develop, integrate, and maintain intelligent systems across diverse domains
  • Foster the ability to communicate effectively with both technical professionals and non-specialists, enabling collaborative and impactful project outcomes
  • Develop your proficiency in a broad range of technologies including programming languages, software design and development, algorithm design, machine learning, data analysis, search techniques, and knowledge representation
  • Enable you to adapt and evolve with the field by equipping you with critical thinking and independent learning skills to master emerging tools, techniques, and frameworks
  • Inculcate professional standards through an understanding of the legal, ethical, and social contexts of Artificial Intelligence and Data Science, with particular emphasis on data security, privacy, sustainability, equality, diversity, and inclusion

Graduates of this programme will be well-prepared for a wide range of careers in Artificial Intelligence, Data Science, Machine Learning Engineering, Intelligent Systems Development, and related roles. They will also be well-positioned to pursue postgraduate studies in fields such as Artificial Intelligence, Data Science, Robotics, and Human-centred Computing.

Admission Requirements

3 Years

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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