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Stockholm, Sweden

Artificial Intelligence
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Artificial Intelligence

Master at Stockholm University

Programme details
Degree: Master (Master)
Discipline: Artificial Intelligence
Duration: 12 months
ECTS points: 60
Application deadline: 16 Jan 2023 passed
University website: Artificial Intelligence

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Description:

We live in the new era of Artificial Intelligence (AI) with industrial and governmental organisations bracing themselves for the next big wave of technological and digital innovation.

The rapid adoption and diffusion of AI will result in economical and societal transformations, while introducing novel scientific methods, new business models and social practices. 

AI constitutes a disruptive innovation referring to self-learning algorithms and systems that can perform tasks by mimicking human intelligence. It is used in a wide variety of industries and application domains, such as healthcare, telecommunications, manufacturing and cybersecurity. Examples of existing AI innovations include self-driving vehicles, robotic surgeons and healthcare assistants, AI game agents, voice-activated personal assistants (e.g., Alexa and Siri) and chatbots.

AI is governed by the combination of core sciences, such as machine learning, natural language processing, big data analytics, human-computer interaction, decision making, philosophy, law and ethics. Despite the fears that naturally follow the rise of such technology, AI can undoubtedly function as the catalyst that can ensure human prosperity and equality, while fostering societal values. 

This program will provide you with: 

  • fundamental knowledge, 
  • theoretical principles and technical skills for designing, 
  • programming, 
  • developing and applying AI algorithms and 
  • methods for solving concrete scientific and societal problems, 
  • while complying to ethical and legal boundaries.

This one-year master’s programme is directed towards students with a technical background in computer and systems sciences.

Career opportunities

Graduates will qualify for positions such as business intelligence developer, data science or machine learning engineer, in several public and industrial sectors, such as banking, insurance, telecommunications, agent-oriented software companies and governmental organisations. 


Learn more about this Master programme

Find more information on the website of Stockholm University:

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