Master's in MASc in AI and Collective Intelligence
Introduction
MASc in AI and Collective Intelligence is a Masters program taught at London Interdisciplinary School, UK. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.
The MASc in AI and Collective Intelligence at the London Interdisciplinary School offers an innovative curriculum designed to merge the fields of artificial intelligence and collective decision-making. Students will engage deeply with the principles of AI while exploring how these technologies can be harnessed to enhance group dynamics and collaborative efforts across diverse sectors. This program not only covers the theoretical foundations but also emphasizes real-world applications through project-based learning.
Typical modules include topics on machine learning, cognitive systems, networked intelligence, and ethical considerations in technology. Students will develop practical skills in data analysis, programming, and the use of advanced AI tools, which will prepare them for the evolving demands of the tech landscape. The pedagogical approach encourages critical thinking and interdisciplinary collaboration, creating a rich learning environment.
Studying this program in London—a global hub for technology and innovation—allows students to immerse themselves in a vibrant ecosystem full of startups, tech firms, and research institutions. Networking opportunities abound, equipping students with valuable connections and insights that can lead to impactful careers.
Admission Requirements
The minimum requirements for admission in MASc in AI and Collective Intelligence at London Interdisciplinary School for all applicants (Domestic or International) are:
- program specific academic requirment set by London Interdisciplinary School.
- English Language OR any other language requirments as set by London Interdisciplinary School as pre-requiste for admission in MASc in AI and Collective Intelligence.
Note: Please check the university website in the link below.
Applicants are typically expected to hold a bachelor's degree in a related field such as computer science, data science, engineering, or cognitive sciences. Relevant work experience and demonstrable knowledge of programming and mathematical concepts can also be advantageous. A personal statement outlining your motivation and interests in AI and collective intelligence is often required.
International students generally are expected to meet English language proficiency requirements through tests such as IELTS or TOEFL. An IELTS score of 6.5 or equivalent is often considered the minimum standard for acceptance, with certain sections possibly requiring higher scores. Students are advised to check specific requirements on the official university page.
Courses Units
Please check detail of study units at https://www.lis.ac.uk/undergraduate-degree
More Information
- AI Research Scientist
- Data Scientist
- Machine Learning Engineer
- Product Manager in AI
- Consultant for AI Solutions
- Technology Policy Analyst
Scholarships
85 fully funded scholarships are listed for UK. See UK scholarships.