MSc in Artificial Intelligence

Key Points

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In computing, artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

The Master in Artificial Intelligence aims to develop students within the discipline of Artificial Intelligence (AI) that involves skills in technology, programming, data science and information processing to respond to the ever-increasing demand for AI specialists in all industries. The program also recognizes the interdisciplinary nature of AI, combined with analytics and big data, creating an environment for AI to emerge as a key technology for the future. AI is a set of technologies that use machine learning, speech analysis, natural language processing, computer vision, and analytics to process data and make informed decisions or recommendations.

The objectives of the Master of Science (MSc) in Artificial Intelligence are:

• Enable students to develop mastery of current and developing computer technologies, especially skills related to the development and use of intelligence artificial.
• Provide students with a deep and systematic knowledge of the management of Artificial Intelligence in organizational contexts.
• Facilitate the development of applied skills that are directly complementary and relevant to the workplace.
• Identify and develop autonomous learning skills for students.
• Develop in students a deep and systematic understanding of current research and analysis problems.
• Allow students to identify, develop, and apply detailed analytical, creative, problem-solving, and research skills.
• Respond in an ethical and informative manner to address any invisible situations that may arise due to emerging industry needs. </ li>
• Provide the student with a comprehensive platform for professional development, innovation, and further study.

Career opportunities

Within the AI ​​space, there are a variety of jobs that require various levels of expertise:

Top industry roles include:

• Data architects
• Software engineers
• Machine and deep learning engineers

Advanced roles include: specialized research engineers, including specialists in:

• Computer Vision
• Language and speech
• AI architecture

Program structure

The Master of Artificial Intelligence is an academic program informed by the clinical and academic experience of the professors. Assessment is approached creatively with a variety of assessment strategies including essay writing, class presentation, dissertation, and graded group examination, depending on the module.

Admission requirements

• A related college degree with honors (level 8). Related subjects include computer science, technology, networking, information systems, engineering, general science, mathematics, statistics, data analysis, or related disciplines.
• Graduates of any non-cognate discipline and with a qualification in a conversion style program, such as the DBS Higher Diploma in Computer Science .
• For international candidates, the foreign equivalent is required. In addition, an officially translated degree will be required.
• IELTS 6.0, with no less than 6.0 in any component < / span> (or its internationally recognized equivalent).

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