#Cambridge #16-17 years old #Tutorials #From £6995
Artificial Intelligence
The Artificial Intelligence summer school at Oxford Summer Courses taking place in Cambridge is designed for 16-17 years old students, and is priced from £6995.
Learning
Outline
Artificial Intelligence Cambridge summer school at Oxford Summer Courses for ages 16-17 years. Study Artificial Intelligence with Oxford Summer Courses. Become aware of how to take advantage of digital age development and accelerate your career by learning key techniques in our AI & Software Development course. We’ll explore the latest developments in technology and how to interact with experts in the field. You'll have the chance to create your solutions, see them in action, and work out how to best communicate this ever-evolving field to the wider world. Discover how machine learning and artificial intelligence are helping us make strides in areas like healthcare. Design and test your algorithms, and then present your findings to a panel of experts. Set and reflect on ambitious goals with our support, engage in tutorial Q&A sessions, participate in an academic skills masterclass for critical thinking development, explore future career pathways through expert speakers, and can visit different Cambridge colleges for a comprehensive Cambridge summer school experience.
Teaching methodology
Learn the Oxford way with tutorial-style teaching. Your expert tutor will foster self-directed learning and critical thinking through interactive seminars in small groups (no bigger than 8). During your course, you will complete two pieces of independent work (essays or problem sheets), which your tutor will then evaluate in either a 1:1 or 2:1 tutorial. Tutorials will provide you with the opportunity to discuss your work and feedback with your tutor and learn new perspectives from your classmates. On completion of the course, you'll receive a certificate and letter of recommendation from your tutor.
Frequently Asked Questions
Who is eligible to apply for Oxford Summer Courses?
To be eligible, applicants should:
- Be between 16-17 years old.
- Have a sufficient understanding of English to participate in academic discussions and coursework.
- Have a keen interest in exploring their chosen subject(s).
If you meet these requirements, we’d love to see your application!
How do I apply to Oxford Summer Courses?
Applying is easy! Follow these steps:
- Choose a Course: Select your subject, location, dates, and accommodation. You can add additional courses if you wish.
- Provide Student Info: Fill in your name, contact details, and a short personal statement about why you'd be a great fit.
- Enter School Info: Provide the name and address of your most recent school.
- Review & Submit: Double-check your details and submit your application.
After submission, our admissions team will review your application, and you’ll hear back within 2-3 days. Apply now!
Can I book more than one course?
Yes, you can book more than one course! During the application process, you will have the option to add additional courses either before or after your main course. The total price, including any additional courses, will be displayed before you proceed.
How can I set up a flexible payment plan?
After paying your deposit to secure your place, our admissions team will help you set up a bespoke payment plan. You can choose from options like monthly or bimonthly payments, and we will provide a detailed invoice outlining your instalment schedule. Learn more about payment plans.
Note: There are no additional fees for setting up a payment plan, and your place is secure once the deposit is paid.
What is the structure of the course?
The course is typically structured over two weeks, with each week focusing on different aspects of artificial intelligence and machine learning.
Week 1: Introduction to Python Programming and AI Fundamentals (Example)
- Introduction to Python programming.
- Foundations of Artificial Intelligence and Machine Learning.
- Data exploration and visualisation.
- Supervised learning algorithms.
Week 2: Machine Learning and Neural Networks with Python and PyTorch (Example)
- Unsupervised learning algorithms (e.g., clustering, principal component analysis).
- Neural networks and deep learning.
- Ethics and social impact of AI.
Note: This is an example structure. The actual content may vary based on the tutor’s expertise and student preferences. Students will have the opportunity to discuss their learning goals with admissions to tailor the course.
What will I learn by the end of the course?
By the end of the course, students may:
- Understand the basics of AI and machine learning.
- Develop skills in Python programming for AI and data science applications.
- Explore supervised and unsupervised learning algorithms.
- Gain knowledge of neural networks and deep learning models.
- Analyse the ethical and social implications of AI technologies.
Note: Learning objectives may vary based on student interests, which will be discussed during the admissions process.
What materials should I prepare before the course starts?
Students are encouraged to do pre-course reading to maximise their learning. Suggested resources include:
- Charles Severance, Python for Everybody: Exploring Data Using Python 3.
- Aurelien Geron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow.
- Watch the introductory videos on AI and ML, such as this one.
Note: These are example resources. Specific materials may vary depending on tutor and student preferences. Students will be informed of the required materials in advance to allow enough time to prepare.
How will this course benefit my career?
This course provides an excellent foundation for further studies in Artificial Intelligence, Data Science, and related fields. You will develop skills in Python programming, machine learning, and neural networks, which are essential for AI development. These skills are highly sought after in industries ranging from tech startups to research labs.
Note: Career exploration opportunities may vary based on the session and guest speaker availability.
What is expected from students during the course?
You are not required to have prior knowledge of AI or machine learning, but you are expected to:
- Actively participate in seminars and tutorials.
- Complete independent research and assignments on AI topics.
- Engage with practical coding exercises and AI problem-solving challenges.
The course is designed to help you gain both academic knowledge and hands-on experience in AI and machine learning.
Note: The level of participation and engagement can be adapted to suit individual needs and preferences.
How does Oxford Summer Courses ensure the safeguarding and wellbeing of students aged 16-17?
At Oxford Summer Courses, the safeguarding and wellbeing of our students aged 16-17 is our highest priority. All staff are fully trained in safeguarding policies and procedures, including enhanced DBS checks. We provide a safe and supportive environment with 24/7 on-site security, supervision when necessary, and curfews to ensure a secure atmosphere. Our policies are designed to offer age-appropriate care, balancing independence with safety.
The Summer Courses experience
For ages 16-17: Academic pursuits deepen with seminars, tutorials, and independent study sessions. Goal-setting and reflection sessions provide a personalized approach to academic and personal growth. University fairs and college visits offer valuable insights into higher education options. Learn more about what's included.
Cambridge Summer School Accommodation
Typical outings
1 / 7
Review
Stay in the City of Cambridge
For ages 16-17: The experience is enhanced with evening socials and diverse activities, fostering opportunities for socializing and personal growth. Excursions become full-day trips, enabling students to explore the city and its surroundings more thoroughly. Free time is incorporated, providing flexibility to organise activities with new friends. Learn more about our Cambridge summer school for ages 16-17.
Accommodation
Students will reside in one of Cambridge University’s most iconic colleges, including Murray Edwards College, Sidney Sussex College, and Corpus Christi College. Accommodation will be assigned based on the tier selected during the application process.
Food and catering
Ages 13-15: Enjoy full-board accommodations with all meals included—breakfast, lunch, and dinner—served either at your accommodation or local restaurants, with dietary requirements catered for. For ages 16-17 and 18-24, students will have half-board accommodations that include breakfast and dinner, served either at your accommodation or local restaurants, with dietary requirements catered for.
Timetable
Discover our sample timetable for learners aged 16-17 and experience the immersive learning of Oxford Summer Courses. Our small group tutorials and seminars, led by expert tutors, will help prepare you for future academic pursuits and professional careers while considering the experience you already have in your chosen subject. With a dynamic social and cultural programme, you'll get valuable insights of what it's like to study at Cambridge and create unforgettable memories.
Dates & Prices
6 Jul 2025 - 19 Jul 2025
Plus (shared bathroom)
full
£6995
Superior (private room and bathroom)
full
£7595
Premier (private room and bathroom)
full
£8595
13 Jul 2025 - 26 Jul 2025
Plus (shared bathroom)
available
£6995
Superior (private room and bathroom)
available
£7595
Premier (private room and bathroom)
available
£8595
20 Jul 2025 - 2 Aug 2025
Plus (shared bathroom)
available
£6995
Superior (private room and bathroom)
available
£7595
Premier (private room and bathroom)
available
£8595
27 Jul 2025 - 9 Aug 2025
Plus (shared bathroom)
available
£6995
Superior (private room and bathroom)
available
£7595
Premier (private room and bathroom)
available
£8595
3 Aug 2025 - 16 Aug 2025
Plus (shared bathroom)
full
£6995
Superior (private room and bathroom)
full
£7595
Premier (private room and bathroom)
full