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Online, UK

Computer Science - Oxbridge

age icon 13-18 years old

time icon 2 weeks

book icon Weekly hours: 25

Gain Expert Insights in an Oxbridge Pre-College Online Program in Computer Science

  • The Oxbridge Pre-College Online Program offers an exceptional chance for curious students to delve into the world of Computer Science. Over the course of this programme, explore the underlying algorithms that power our digital world, understand the principles of coding and software development, and gain hands-on experience with modern technologies. Dive into the intricacies of computational theory and stay updated on the latest advancements in the tech industry.

  • Participants will enjoy a holistic educational experience that merges virtual seminars, one-on-one tutorials, future skills workshops, and group social activities, all led by distinguished Oxbridge and Ivy League tutors. Connect with fellow learners from across the globe, get insights from current Oxbridge undergraduates, and refine your understanding of Computer Science with the guidance of expert tutors.

Aim of the Online Computer Science Programme

  • Computer Science is a rapidly advancing field that continuously shapes the future of technology and innovation. From developing cutting-edge software to researching quantum computing, computer scientists are at the forefront of technological progress. This programme's objective is to offer participants a comprehensive introduction to the realm of Computer Science and to spotlight the myriad opportunities that await those passionate about further pursuing this discipline. Engage with a diverse range of topics, blending both theoretical knowledge and practical insights.

Key Programme Highlights

  • Small group sessions or 1:1 support, ensuring personalized attention, led by expert tutors from Oxford, Cambridge, and Ivy League institutions.

  • 2 x 30-minute one-on-one tutorials every week.

  • Future Skills Workshops: Hone essential skills such as personal branding, interview techniques, and academic writing.

  • Over 20 hours of dedicated academic contact time per week.

  • Daily social engagements led by Mentors, who are current Oxbridge undergraduates. This offers a chance not only for relaxation and fun but also to gain insights into life at some of the world's premier institutions.

  • Comprehensive feedback and personal evaluation provided by your tutor at the end of the programme.

  • Certificate of attendance upon successful completion.

  • Access to some of the brightest minds, both from the UK and the USA, offering a rich, diverse, and global perspective on Computer Science.

Online Program Modules

Module 1: Foundations of Programming

Dive deep into the principles and paradigms of programming. This module provides a comprehensive overview of algorithms, data structures, and programming languages, laying a foundational understanding for aspiring computer scientists. Through interactive sessions and detailed explanations, students will gain insights into the world of coding.

Module 2: Machine Learning and Artificial Intelligence

Journey into the realm of machines that can "learn" and "think". This module explores the principles behind AI and ML, their applications, and the ethical implications of their use. Understand the nuances of neural networks, deep learning, and other contemporary AI techniques.

Module 3: Cybersecurity

Discover the intricacies of securing digital assets and networks. This module illuminates the methods used by professionals to protect sensitive data, the tactics of cyber adversaries, and the ever-evolving landscape of cybersecurity.

Module 4: Emerging Technologies

Stay updated with the latest innovations and discoveries in the tech world. This module covers the most recent breakthroughs in quantum computing, augmented reality, virtual reality, and other cutting-edge technologies.

Choose the Time that Works Best for You

The Oxbridge Pre-College Online Program acknowledges the global community of its learners and offers two distinct "streams" to cater to different time zones:

Stream A: 09:00 - 15:00 (UK time)

Stream B: 14:00 - 20:00 (UK time)

What Will the Timetable Look Like?

  • Course Overview / 1:1 Tutorial / Tutor Office Hours

  • Subject Tuition

  • Workshops

  • Activities

  • Self-Work Time

Online Learning Platform - Virtual Classrooms

  • To ensure a seamless learning experience, all sessions will be conducted on Zoom’s education platform – a leading virtual classroom software. Before the programme's commencement, each participant will receive a welcome kit detailing information about their tutors, mentors, guest speakers, and an overview of their chosen programme. An interactive timetable, complete with session links, will also be provided for ease of access.

  • For students hailing from various time zones, our dual-stream system ensures you won’t miss out on any learning opportunity. Moreover, our collaboration with Ivy League tutors offers a unique chance for those interested in pursuing further education in the USA.

1:1 Courses with World-Class Tutors

If you're seeking a more personalized learning experience, we also offer 1:1 tailor-made courses with world-class tutors! The dates and specific subjects can be arranged according to your schedule. To make this happen, please reach out to our free advisory.

Example Tutor

Thomas L.

Thomas is a DPhil student currently studying Computational Sciences in the Department of Computer Science at the University of Oxford.

His doctoral project is entitled 'Exploring Quantum Algorithms for Real-world Applications' and aims to develop efficient quantum computing methods to solve complex problems in physics and finance.

Younesse K.

Younesse Kaddar is a PhD candidate at the University of Oxford, having previously studied at the University of Cambridge and Paris-Saclay. The long-term aim of his PhD is to try to make machine learning more "algebraic" (hence more explainable) through the use of categorical semantics and programming language theory - by focusing more specifically on probabilistic programming semantics.

& More

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Session Dates

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