Bachelor of Science in Business and Economics with a major in Business Administration - International Management
Jonkoping University in Sweden offers a Bachelor of Science in Business and Economics, ...
Master of Science with a major in Computer Science specialisation in Artificial Intelligence (AI) Engineering
Jonkoping
INTAKE: August
Program Overview
The Master of Science with a major in Computer Science, specializing in Artificial Intelligence (AI) Engineering at Jonkoping University, is a cutting-edge program designed for those interested in the rapidly evolving field of AI. The program focuses on providing students with advanced knowledge and hands-on experience in AI technologies, algorithms, and systems. Students will explore machine learning, neural networks, data science, robotics, and other AI techniques while learning how to apply these skills to real-world challenges across various industries. The program prepares students to become leaders in the AI field, equipping them with the technical expertise and problem-solving abilities needed to drive AI innovations and advancements. Graduates of the program are well-equipped to pursue careers in AI development, research, and application across industries such as healthcare, finance, robotics, and more.
Curriculum: The curriculum for the AI Engineering specialization is designed to provide students with both theoretical foundations and practical skills. Core subjects include Machine Learning, Deep Learning, Artificial Neural Networks, and Data Mining. Students will also study AI algorithms, robotics, intelligent systems design, and data science techniques. Advanced courses focus on specialized topics such as computer vision, natural language processing (NLP), and AI ethics, enabling students to address the complex challenges and ethical considerations that arise when developing AI solutions. The program includes practical lab work, collaborative projects, and research opportunities, which allow students to apply theoretical knowledge in real-world scenarios. Additionally, students will have the opportunity to work on their Master’s thesis, where they can research and develop AI-based solutions to industry-specific problems.
Research Focus: Jonkoping University emphasizes research in Artificial Intelligence with a focus on real-world applications and advancing AI technologies. Research areas in the AI Engineering program include machine learning and deep learning algorithms, AI in robotics, computer vision, natural language processing, and AI ethics and explainability. The program fosters innovation in AI applications, such as developing autonomous systems, optimizing decision-making in complex systems, and creating AI-driven solutions for industries such as healthcare, finance, and automated manufacturing. Faculty members and students work closely on projects that push the boundaries of AI, with a particular focus on human-centered AI, AI safety, and how to integrate AI into real-world applications ethically and effectively. Research at Jonkoping University is highly interdisciplinary, combining AI with fields like data science, engineering, and business, allowing students to approach AI challenges from multiple perspectives.
Industry Engagement: The AI Engineering specialization at Jonkoping University offers strong links to industry, ensuring that students are well-prepared to enter the workforce. The university collaborates with leading technology companies, research institutions, and industry leaders, providing students with opportunities for internships, industry projects, and networking events. These collaborations help students gain practical experience and insights into how AI is being applied in various industries, including robotics, autonomous vehicles, financial technologies (FinTech), and healthcare. Students also benefit from guest lectures, workshops, and seminars hosted by professionals in the AI field, further enhancing their understanding of the challenges and opportunities in AI development. This engagement ensures that students graduate with a well-rounded, real-world understanding of AI engineering and its applications in diverse sectors.
Global Perspective: Jonkoping University offers a global perspective on AI, providing students with exposure to international trends, challenges, and opportunities in the field. The program attracts students from around the world, creating a diverse learning environment that fosters cross-cultural collaboration and global networking. Students engage in case studies, research, and projects that highlight how AI is being applied across different countries and industries, providing insights into global AI innovations. Jonkoping University encourages students to understand how cultural, legal, and ethical considerations affect AI development and implementation in various regions. Additionally, the university has a wide range of international partnerships, allowing students to collaborate with AI professionals, researchers, and organizations globally, thus preparing them to work in global AI markets and research environments.
Location
Jonkoping
Score
IELTS 6.5
Tuition Fee
SEK 170000
Postgraduate Entry Requirements
Application Fee: SEK 900
Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 55% or equivalent.
English language proficiency:
- IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.0.
- TOEFL: A minimum overall score of 90.
- PTE Academic: A minimum overall score of 62.
Jonkoping University provides a range of scholarships for non-EU/EEA students applying to undergraduate and graduate programs. These scholarships are highly competitive and are awarded based on academic excellence. The scholarships typically cover a portion of the tuition fees and are offered to students who demonstrate strong academic performance in their previous studies.
Jonkoping University Scholarship for Master's Students: Jonkoping University offers scholarships to international students applying for master’s programs. These scholarships are designed to cover up to 50% of the tuition fee. To be eligible, applicants must have been admitted to a master’s program at Jonkoping University and show evidence of high academic performance.
Swedish Institute Scholarships: In addition to university-specific scholarships, international students may apply for scholarships funded by the Swedish Institute, a government agency that promotes Swedish higher education. These scholarships are available to students from selected countries and cover living expenses, as well as tuition fees. Students at Jonkoping University can also benefit from these opportunities, which are open to those who meet specific eligibility criteria.
Graduates from the Master of Science in Computer Science, specializing in Artificial Intelligence (AI) Engineering at Jonkoping University, have a wide range of career opportunities in various sectors driven by AI advancements. The program prepares students to take on leadership and technical roles in AI-related industries.
AI Engineer: Design, develop, and implement artificial intelligence models and systems. AI Engineers apply machine learning algorithms, neural networks, and deep learning to create intelligent systems that can perform tasks traditionally requiring human intelligence, such as data analysis, speech recognition, and image processing.
Machine Learning Engineer: Specialize in building algorithms and predictive models that allow systems to learn from data and improve over time. Machine learning engineers work on projects like recommendation systems, autonomous vehicles, and predictive analytics.
Data Scientist: Use AI and machine learning techniques to analyze large datasets, extract meaningful insights, and develop data-driven solutions. Data scientists play a crucial role in industries such as healthcare, finance, and e-commerce by uncovering patterns and trends that influence decision-making.
Robotics Engineer: Develop intelligent robotic systems that can perform complex tasks autonomously. This role combines expertise in AI, robotics, and engineering to design robots that can adapt to changing environments and execute tasks in real-time, such as in manufacturing or healthcare.
AI Research Scientist: Conduct cutting-edge research to advance AI technologies and improve existing systems. Research scientists in AI work on innovations such as natural language processing (NLP), computer vision, and AI ethics, contributing to the development of new AI applications.
Natural Language Processing (NLP) Engineer: Focus on enabling machines to understand and process human languages. NLP engineers work on applications such as chatbots, voice assistants, language translation, and sentiment analysis, playing a key role in industries like customer service and social media.
AI Solutions Architect: Design and implement AI systems that solve business problems. AI architects work closely with both technical and non-technical teams to ensure that AI solutions are effective, scalable, and aligned with business goals.
AI Consultant: Advise businesses on how to integrate AI into their operations and products. AI consultants analyze company needs, identify opportunities for AI applications, and help implement AI strategies to drive innovation, efficiency, and growth.
Ethical AI Specialist: Focus on ensuring that AI technologies are developed and applied in an ethical manner. This role involves examining the potential social, legal, and economic impacts of AI, addressing concerns such as bias, fairness, and privacy, and ensuring AI technologies comply with regulations.
AI Product Manager: Oversee the development and implementation of AI-driven products. AI product managers are responsible for defining the vision and strategy of AI products, working with cross-functional teams, and ensuring that the product meets both user needs and business objectives.
