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Artificial Intelligence Engineering (MSc) - Jonkoping
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MASTERS

Artificial Intelligence Engineering (MSc) - Jonkoping

Jonkoping University
Jönköping, Sweden
On campus
Full-time
Free
Duration
2 Years
Language
English
Apply date
May 2023
Start date
Sep 2023

Program Description

In the master in Artificial Intelligence Engineering (MSc), students will learn the theory and practical application of state-of-the-art data-driven AI systems. The master in Artificial Intelligence Engineering (MSc) features advanced-level courses in AI, data science, and machine learning. Master’s thesis projects are conducted within the scope of ongoing research projects led by faculty from the Jonkoping University AI Laboratory. A majority of thesis projects are conducted in close collaboration with partners from the private or public sector.

The career opportunities are both excellent and diverse for the graduates of the master in Artificial Intelligence Engineering (MSc). For academically inclined students who wish to pursue a career in higher education, it is possible to apply for Ph.D. student positions in computer science after completion of the master’s education. For students who are interested in putting theory into practice, the region of Jonkoping University features a wealth of companies and governmental agencies looking for AI and machine learning competence.

Artificial Intelligence (AI) is often described as the ultimate challenge, sometimes it is even called the manifest destiny of computer science. Human-level machine intelligence is still in the future but applications of deep learning and edge computing are currently transforming both industry and society.

Jonkoping University is establishing a strong research group in AI, which will ensure that the program is grounded in state-of-the-art research.

The School of Engineering, Jonkoping University, is a member of the prestigious collaboration between leading engineering schools worldwide - the CDIO Initiative™. The CDIO Initiative is an innovative educational framework to conceive and develop a new vision of engineering education and for producing the next generation of engineers.

Entry Requirements

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Curriculum

Year 1

Artificial Intelligence

Mathematics for Intelligent Systems

Data Science

Knowledge Representation and the Semantic Web

Machine Learning

Ethics of Artificial Intelligence

Data science programming

Year 2

Natural language processing and text mining

Research Methods for Intelligent Systems

State-of-the-Art in AI Research

Final Project Work in Computer Science

Elective Courses:
Industrial Placement Course
Embedded and Distributed AI

Jobs - Careers

  • Data scientist
  • AI engineer
  • Software engineer
  • Machine learning engineer
More

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