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Course

Young Professionals AI and Computer Science

Young Professionals AI and Computer Science summer course in Oxford, by Bucksmore Education.

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  • Duration: 2 weeks
  • Dates: June - August 2026
  • Age Range: 13-17
  • Fees from: £2,595.00
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Course Summary

The course is intended to provide a comprehensive foundation in both artificial intelligence (AI) and computer science.

Students will gain a solid understanding of AI concepts and techniques, as well as develop essential programming and problem-solving skills necessary for building intelligent systems.

The course will foster creativity and innovation by encouraging students to explore and develop their own AI projects. Students will develop knowledge of using programming software such as Java and Python and explore different approaches in machine learning.

The real-world Capstone industry project provides students with an opportunity to leverage the Unity platform.

On completion of the course and submission of the final projects the students will receive a Certificate of Completion and a written assessment of their project.

The addition of an exciting and varied activity and excursion programmes embedded in the timetable, ensures students will have a well-rounded and powerful two weeks studying on the Young Professionals AI and Computer Science course.

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Course Highlights
  • A Young Professionals Computer Science summer camp at Bucksmore in Oxford immerses high school students in the world of coding, AI, and technology
  • Through hands-on workshops, students dive into computer programming, artificial intelligence, and real-world tech projects
  • They develop problem-solving skills, work on coding challenges, and build a portfolio of work that prepares them for future studies in computer science
  • Living on campus, students collaborate and bond over shared interests
  • Excursions to tech hubs in Oxford further enhance the learning experience, making it a well-rounded programme for aspiring tech professionals
Whats Included
  • Weekly excursions 2 full days and 1 half day
  • 20 hours per week
  • Course fees are all-inclusive airport transfers, insurance, meals, entrances to attractions, academic materials, so the only additional costs should be flights and spending money.

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More Information

Develop knowledge of reading, writing and debugging code using programming software such as Java and Python • Learn systematic approaches to problem solving, including analysis techniques and how to implement data structures and code problems in a way that computers can understand and process. • Explore different approaches in machine learning and developing an understanding of stochastic algorithms, game theory, automated theorem proving, computer and human learning, and more.
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