Youth Programme: Future Series December 2024

The NUS SCALE Youth Programme Future Series is more than just an educational programme for youths from Singapore and around the world.

The NUS SCALE Youth Programme Future Series is your window to the future. Specially curated for high school and pre-university students aged 15 to 18 years old, this programme is designed to help you discover the impact you want to make and to make informed decisions about your future. Participants will have the opportunity to immerse themselves in the NUS experience, embracing NUS’s culture of innovation, academic excellence, and global responsibility.

This December, we are excited to offer two parallel tracks:

STEM and Future Technology track:
Artificial Intelligence and Machine Learning Fundamentals (15 - 20 December 2024)

New Media and Communications track:
Media Communication and Marketing (15 - 20 December 2024)

Throughout this 1-week programme, participants will explore cutting-edge topics, engage with industry experts, and collaborate on innovative projects. Beyond the academic experience, participants will also develop essential soft skills such as leadership, teamwork, and public speaking.

Join us for an unforgettable journey of learning and discovery. Equip yourself with the knowledge and skills to thrive in the future and become part of a community dedicated to making a positive impact.

Register now to secure your spot! Limited placements available.

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Artificial Intelligence and Machine Learning Fundamentals
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  • Explore AI and Machine Learning: Dive into hands-on projects to understand how these technologies are transforming businesses and society.
  • Train Your Own AI Models: Gain practical experience by training AI models, equipping you with essential skills for the future.
  • Solve Real-World Problems: Apply AI principles to tackle real-world challenges and see the impact of your solutions.

Who Should Attend

Pre-University and high school students in Grade 10 - 12, with an interest in exploring AI and its applications. The course is not restricted to STEM students, as the material will cover the basics of AI/Machine Learning through advanced applications.

Click here to download programme outline.

Pre-Requisites

Participants are expected to be able to read, write and communicate in English, as the programme will be conducted in English.

Participants are required to bring their own laptop/tablet, charger and universal travel adaptor (for international participants) throughout the duration of the programme.

Applicants must be at least 15 years old at the start of the programme to be eligible to apply.

Programme Schedule

15 - 20 December 2024.

Mode of Delivery

Face-to-face programme on NUS campus.

15 hours of face-to-face lessons, tutorials and a final project presentation.

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MEDIA COMMUNICATION AND marketing
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  • Master Social Media & Public Relations: Learn how to effectively use social media to engage audiences and build a strong online presence, a crucial skill for today’s digital world.
  • Become a Confident Public Speaker: Gain practical tips on organizing and delivering speeches that captivate your audience, enhancing your communication skills.
  • Handle Crisis Communication Like a Pro: Develop essential skills to manage and communicate during crises, ensuring you’re prepared to handle challenging situations with confidence.

Who Should Attend

Pre-University and high school students in Grade 10 - 12, with an interest in broadening their skills in media engagement.

Click here to download programme outline.

Pre-Requisites

Participants are expected to be able to read, write and communicate in English, as the programme will be conducted in English.

Participants are required to bring their own laptop/tablet, charger and universal travel adaptor (for international participants) throughout the duration of the programme.

Applicants must be at least 15 years old at the start of the programme to be eligible to apply.

Programme Schedule

15 - 20 December 2024.

Mode of Delivery

Face-to-face programme on NUS campus.

15 hours of face-to-face lessons, tutorials and a final project presentation.

Programme Fee

The programme fee is SGD 2,321.70 per participant per programme, which includes:

  • Professional and administrative fee,
  • Meal voucher or food of equivalent value, for weekday lunch,
  • Soft copy of course materials, online and on-site support,
  • Camp T-shirt and welcome package.

  • Accommodation, local transport for activities not arranged by NUS SCALE, insurance and other personal expenses are not covered in the programme fee. NUS SCALE strongly encourages participants to purchase their own health and travel insurance prior to the start of the programme.

     Frequently Asked Questions

     

    Q: What’s the tool/platform used during Artificial Intelligence and Machine Learning Fundamentals programme?
    A: Participants will be taught to use Orange, a graphic computing software for machine learning. To maximise the learning outcome, participants should bring their own laptop (Windows OS/Mac OS preferred). 

    Q: What’s the estimated amount of self-study/preparation time outside the classroom?
    A: Around 2 - 3 hours each day, which includes reviewing the material covered in class, and preparing for the presentation. 

    Q: Is accommodation provided for this programme?
    A: On-campus accommodation is not included in the December 2024 programme run, as the NUS hostels are undergoing maintenance during the year-end school holiday.

    Q: Are meals provided?
    A: Dinner on 15 December 2024 and weekday lunch are provided to participants. Breakfast and dinner on the other days are not included in the package.

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    Certificate of Completion

    Successful participants who fulfill all program requirements, including meeting the minimum attendance and passing the assessment, will be awarded an e-Certificate of Completion and Assessment Report issued by NUS SCALE.  

    Certificate of Completion

    A sample of the Certificate of Completion

    Assessment Report

    A sample of the Assessment Report.

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    Commendation Letter

    Participants from the project team with the highest score for the group project will also receive a commendation letter. 

    Commendation Letter

    A sample of the Commendation Letter. 



    SPEAK TO US

    For enquiries, please contact us at  liu.yaxin@nus.edu.sg  should you have any questions regarding this programme. 

     

     
    16 August 2024