Europe is home to some of the world’s most prestigious institutions in Artificial Intelligence (AI) and Machine Learning (ML), offering fully funded scholarships for talented students aiming to pursue a Master’s or PhD.
معروف ٹک ٹاک اسٹار کار حادثے میں زندگی کی بازی ہار گئیں
اسلام آباد (نیوز ڈیسک) میکسیکو کی معروف شیف اور ٹک ٹاک اسٹار یانن کامپوس ایک سنگین ٹریفک حادثے میں شدید زخمی ہونے کے بعد دو روز تک موت و حیات کی جنگ لڑنے کے بعد انتقال کر گئیں۔بین الاقوامی میڈیا کے مطابق 38 سالہ یانن کامپوس کی تیز رفتار لگژری بلیک کار میکسیکو کے شہر چہواہوا میں فرانسیسکو آر المیڈا ہائی وے پر کھڑی ایک گاڑی سے جا ٹکرائی۔ٹکر اتنی خوفناک تھی کہ گاڑی بری طرح تباہ ہو گئی اور یانن کو تشویشناک حالت میں فوری اسپتال منتقل کیا گیا۔
دو دن تک آئی سی یو میں زیر علاج رہنے کے بعد وہ جانبر نہ ہو سکیں۔یانن کامپوس نے 2018 میں ’’ماسٹر شیف میکسیکو‘‘ میں حصہ لے کر بے پناہ مقبولیت حاصل کی۔ اس کامیابی کے بعد انہوں نے سوشل میڈیا کا رخ کیا اور ٹک ٹاک پر لائف اسٹائل اور کھانوں کی تراکیب سے متعلق ویڈیوز شیئر کرنا شروع کیں، جس سے انہیں دنیا بھر میں لاکھوں مداح ملے۔
These programs combine cutting-edge research with strong industry partnerships, preparing graduates for careers in academia, research labs, and leading tech companies.
Below is a curated list of the top AI & ML scholarships in Europe for 2025.
1. Erasmus Mundus Joint Master’s in Artificial Intelligence (EMAI)
Countries: Multiple EU nations (Spain, Netherlands, Italy, France)
Funding: Full tuition, monthly stipend (~€1,000), travel allowance, insurance
Focus Areas: Machine learning, computer vision, natural language processing, robotics
Why Apply: The EMAI program connects leading AI research groups across Europe and offers opportunities for industry internships.
2. University of Oxford – Rhodes Scholarships
Country: United Kingdom
Funding: Full tuition + annual stipend (~£19,000) + research travel support
Focus Areas: AI ethics, deep learning, AI for healthcare, computational statistics
Why Apply: Rhodes Scholars at Oxford gain access to world-class AI labs like the Oxford Internet Institute and the Department of Computer Science.
3. ETH Zurich Excellence Scholarship & Opportunity Programme (ESOP)
Country: Switzerland
Funding: Full tuition + living expenses (~CHF 12,000 per semester)
Focus Areas: AI algorithms, reinforcement learning, data science, neural networks
Why Apply: ETH Zurich ranks among the top tech universities worldwide and works closely with industry leaders like Google and IBM Research.
4. University of Cambridge – Gates Cambridge Scholarships
Country: United Kingdom
Funding: Full tuition, maintenance allowance, research funding, airfare
Focus Areas: Machine learning theory, AI in engineering, AI for social good
Why Apply: Cambridge is home to cutting-edge AI labs such as the Leverhulme Centre for the Future of Intelligence.
5. Marie Skłodowska-Curie Actions (MSCA) – Doctoral Networks
Countries: All EU member and associated states
Funding: Full salary, mobility allowance, research costs for PhD students
Focus Areas: AI-driven robotics, explainable AI, autonomous systems, computational intelligence
Why Apply: MSCA fellowships provide international collaboration, industry secondments, and strong networking opportunities.
6. TU Delft – AI & Robotics Excellence Scholarships
Country: Netherlands
Funding: Full tuition + €30,000 living stipend
Focus Areas: Robotics, computer vision, deep reinforcement learning
Why Apply: TU Delft’s AI labs are heavily integrated with autonomous systems research and real-world applications.
7. Aalto University – Finland AI Scholarships
Country: Finland
Funding: Full tuition waiver + monthly stipend for top applicants
Focus Areas: Machine learning systems, AI for industrial automation, AI security
Why Apply: Aalto University is a leading hub for AI research in Northern Europe with a strong startup ecosystem.
8. UCL – DeepMind Scholarships
Country: United Kingdom
Funding: Full tuition + annual living allowance (~£15,000)
Focus Areas: Deep learning, AI for health, reinforcement learning
Why Apply: Fully funded by DeepMind, these scholarships at University College London are tailored to students passionate about AI innovation.
Tips for Applying to AI & ML Scholarships
- Build a Strong Portfolio: Include coding projects, research papers, or AI competition results (e.g., Kaggle).
- Show Industry Relevance: Highlight AI applications with real-world impact.
- Emphasize Interdisciplinary Skills: AI intersects with many fields—link your expertise to healthcare, finance, robotics, or climate tech.
- Secure Strong References: Letters from professors or industry experts in AI can strengthen your application.
