NUSC Summer School 2025

Unlock your potential with cutting-edge workshops and expert academic instructors

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About Our Summer School

The NUSC Summer School offers intensive, hands-on training in cutting-edge computational methods and technologies. Our program is designed for students, researchers, and professionals who want to enhance their skills and stay at the forefront of their fields.

Hands-on Learning

All workshops include practical, hands-on sessions where you'll apply what you've learned to real-world problems.

Expert Instructors

Learn from leading experts in academia and industry who are passionate about sharing their knowledge.

Networking Opportunities

Connect with peers and instructors from around the world to build your professional network.

Our Workshops

Machine Learning Python

Introduction to Machine Learning

Learn the fundamentals of machine learning algorithms and how to implement them using Python and scikit-learn.

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Deep Learning PyTorch

Deep Learning with PyTorch

Explore neural networks, CNNs, RNNs, and transformers using PyTorch for various applications.

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Data Analysis R

Advanced Data Analysis with R

Master statistical analysis, data visualization, and modeling techniques using R and its ecosystem.

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Web Development JavaScript

Modern Web Development

Build responsive and interactive web applications using modern JavaScript frameworks and tools.

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Big Data Spark

Big Data Processing with Spark

Learn how to process and analyze large datasets using Apache Spark and related technologies.

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Scientific Computing Julia

Scientific Computing with Julia

Discover the power of Julia for high-performance scientific computing and numerical simulations.

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Our Expert Instructors

Dr. Sarah Johnson

Dr. Sarah Johnson

Machine Learning Specialist

University of Greenwich

Prof. Michael Chen

Prof. Michael Chen

Deep Learning Researcher

Stanford University

Dr. Emily Rodriguez

Dr. Emily Rodriguez

Data Science Lead

Google Research

Dr. James Wilson

Dr. James Wilson

Web Development Expert

Mozilla Foundation

Program Schedule

Day 1 - Monday, July 7, 2025

8:30 - 9:30

Registration and Welcome Breakfast

Meet other participants and instructors over breakfast.

9:30 - 12:30

Workshop Session: Introduction to Machine Learning

Fundamentals of machine learning algorithms and implementation.

12:30 - 13:30

Lunch Break

Networking opportunity with peers and instructors.

13:30 - 16:30

Workshop Session: Deep Learning with PyTorch

Introduction to neural networks and PyTorch fundamentals.

16:30 - 18:00

Welcome Reception

Informal networking event with refreshments.

Day 2 - Tuesday, July 8, 2025

9:00 - 12:00

Workshop Session: Advanced Data Analysis with R

Statistical analysis and data visualization techniques.

12:00 - 13:00

Lunch Break

Networking opportunity with peers and instructors.

13:00 - 16:00

Workshop Session: Modern Web Development

Building responsive and interactive web applications.

16:00 - 17:30

Guest Lecture: AI in Industry

Special guest speaker from industry discussing real-world applications.

Day 3 - Wednesday, July 9, 2025

9:00 - 12:00

Workshop Session: Big Data Processing with Spark

Processing and analyzing large datasets with Spark.

12:00 - 13:00

Lunch Break

Networking opportunity with peers and instructors.

13:00 - 16:00

Workshop Session: Scientific Computing with Julia

High-performance scientific computing and simulations.

16:00 - 18:00

Team Project Time

Work on group projects with mentorship from instructors.

Frequently Asked Questions

What prior knowledge is required for the workshops?

Most workshops are designed for participants with a basic understanding of programming concepts. Specific prerequisites for each workshop are listed in the workshop descriptions. Beginners are welcome to join the introductory workshops, while more advanced workshops may require specific prior knowledge.

Is there accommodation available for participants?

Yes, we have arrangements with nearby hotels and university dormitories for discounted accommodation rates. Details will be provided after registration. Participants are responsible for making their own reservations.

What should I bring to the workshops?

Participants should bring their own laptops with the required software pre-installed. Installation instructions will be sent to registered participants two weeks before the start of the summer school. All necessary datasets and materials will be provided.

Are there any scholarships available?

Yes, we offer a limited number of scholarships for students and early-career researchers. The application process for scholarships is separate from the regular registration. Please check the scholarship section on our website for more information and deadlines.

Will I receive a certificate after completing the workshops?

Yes, all participants who attend the full duration of their registered workshops will receive a certificate of completion. Additionally, participants who successfully complete the team projects will receive a project-based certificate.

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Contact Us

info@nuscsummerschool.edu

+44 7768909791

University of Greenwich, Old Royal Naval College, Greenwich, London, SE10 9LS