GAIP - Advanced

Strengthen your profile in MS abroad

Our "secret sauce” is that we’re with you at every step of the GAIP Journey

GAIP: Your Gateway to Future-Ready Tech Careers In partnership with NUS School of Computing, GAIP is the world’s first on-campus academic internship in big data, generative AI, and quantum computing—blending rigorous academics with real-world projects. With 3 specialized 10-day modules, GAIP empowers engineering students through immersive learning, global exposure, and cutting-edge tools. Since 2016, over 1,500 participants from 150+ universities have joined this transformative journey—preparing to lead in AI, data science, and beyond. 

Format

On-Campus
NUS 

Starting date

June
25

Learners

1500+

Level

Advanced

Duration

10 Days

Price

$
2349

Why should I take this course?

—

World-Class Faculty

Cutting-Edge Curriculum

Global Certification

Learn from NUS professors and industry experts through a hands-on, 10-day programme designed to equip you with real-world skills in AI, big data, and quantum computing—backed by a globally recognized certificate.
You will learn how to put the ideas presented to you into action and build your own personal brand through content marketing.
We guarantee you an exceptional experience with flexible learning paths and professional guidance

Meet the instructor

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Dr. Tan Wee Kek
An Associate Professor in the Department of Information Systems & Analytics at the NUS School of Computing and a Fellow of the NUS Teaching Academy. He earned his Ph.D. and First-Class Honours Bachelor's degree in Information Systems from NUS. His research primarily focuses on consumer-oriented IT—such as online decision aids, social computing, virtual worlds, and cloud services—grounded in design science methodology. He also has a strong interest in information systems education. Dr. Tan’s work has been published in journals like JASIST, Decision Support Systems, and CAIS, and featured at global conferences including ECIS, AMCIS, and SIGMIS-CPR.
Samantha Sow
A Senior Lecturer in the Department of Information Systems & Analytics at NUS, with over 8 years of experience in Business Analytics and Data Science. She has trained professionals across government and corporate sectors, and previously taught at Temasek Polytechnic.

She holds a Master’s in Education from the University of Sheffield and a First-Class Honours Bachelor’s in Engineering from NUS.
Samantha is passionate about driving enterprise transformation and empowering professionals to strengthen their analytics and business intelligence skills.
Dr. Amirhassan Monajemi
A Senior Lecturer in AI and Machine Learning at the NUS School of Computing, with extensive experience in teaching and research across AI, Data Science, and Machine Vision. Prior to NUS, he held academic roles at the University of Isfahan and NUS SCALE, focusing on adult education in AI and Data Science. He earned his Ph.D. in Pattern Recognition and Image Processing from the University of Bristol and has published over 100 research papers. His interests span AI, IoT, Deep Learning, and E-Learning, and he holds patents in AI-driven applications, including driver drowsiness detection and intelligent robotics.
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