Study MS Machine Learning at King Abdullah University of Science and Technology, ranked #93 globally. Comprehensive guide for Indian students covering eligibility, fees, scholarships, application timeline and career outcomes.
The Master of Science in Machine Learning at King Abdullah University of Science and Technology offers a distinctive research-intensive experience, driven by cutting-edge computing resources like Shaheen II and an exceptionally well-funded environment. Unlike many programs, KAUST emphasizes interdisciplinary application, particularly in areas relevant to grand challenges such as sustainable energy, environmental science, and smart city development – crucial for national transformation initiatives like NEOM. Graduates are highly sought after as AI specialists, data scientists, and research engineers across diverse sectors including tech, energy, finance, and healthcare, or pursue advanced doctoral studies. What makes this program particularly compelling is its strategic location and mission: providing an unparalleled platform to apply advanced machine learning techniques to real-world, large-scale projects, directly contributing to shaping a future driven by innovation in a rapidly evolving region. This hands-on impact potential is a significant draw.
Admission to MS Machine Learning at King Abdullah University of Science and Technology is competitive. Most candidates need a strong undergraduate record (typically 70%+ or GPA 3.3+), standardized test scores (GRE/GMAT for graduate programs, SAT/ACT for undergraduate), and English language proficiency (TOEFL 100+ or IELTS 7.0+ for international students).
For application help, our counsellors can guide you through the entire process — from shortlisting and SOP review to visa documentation. Take our free 60-second match quiz to see if your profile fits.
Annual tuition at King Abdullah University of Science and Technology is approximately $40,000-60,000/year for international students. Living expenses in the host country typically range from $12,000 to $25,000/year depending on city.
Indian students can apply for several funding routes:
Browse 500+ active scholarships for Indian students studying MS Machine Learning abroad.
Graduates of MS Machine Learning programs from King Abdullah University of Science and Technology typically command starting salaries of $70,000 - $130,000+ in their host country, with placements at leading employers in the field. Indian graduates returning home often see senior-track roles at MNCs and global firms.
Common career paths after MS Machine Learning include roles in industry-leading companies, research labs, startups, and consulting firms. Post-study work visa options (destination-specific-OPT, PSW, PR pathways) make this an attractive long-term investment for international students.
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Most applicants need a bachelor degree in a related field with 70%+ marks or GPA 3.3+, GRE/GMAT scores (programme-dependent), TOEFL 100+ or IELTS 7.0+, a strong SOP, and 2-3 LORs.
Annual tuition is approximately $40,000-60,000/year. Including living expenses, total cost ranges $55,000 to $85,000/year depending on city and lifestyle.
Yes - merit scholarships from the university itself, external scholarships like Inlaks and JN Tata Endowment, education loans up to INR 1.5 Cr, and need-based aid at select universities. Talk to our counsellors for a personalized funding plan.
Most graduate programs at King Abdullah University of Science and Technology have Fall intake deadlines between December and February (preceding year), with some Spring intake options. Check the university official site for the program-specific deadline.
We provide end-to-end guidance, document review, and application support. Whether we can formally submit on your behalf depends on whether we have a representation agreement with the specific institution. Start a free match to find out.