Overview
The algorithms used in Machine Learning are based on mathematical models learned automatically from data, thus allowing machines to intelligently interpret and analyze input data to derive useful knowledge and arrive at important conclusions. Machine learning is heavily used for enterprise applications (e.g., business intelligence and analytics), effective web search, robotics, smart cities and understanding of the human genome.
Program Competence
Upon completion of the Machine Learning program at Mohamed bin Zayed University of Artificial Intelligence requirements, the graduate will be able to:
- Obtain rigorous mathematical background and advanced reasoning capabilities to express comprehensive and deep understanding of the pipelines at the frontier of machine learning: data, models, algorithmic principles and empirics.
- Master a range of skills and techniques in data-preprocessing, exploration, and visualization of data-statistics as well as complex algorithmic outcomes.
- Have a critical awareness of the capabilities and limitations of the different forms of learning algorithms and the ability to critically analyze, evaluate, and improve the performance of the learning algorithms.
- Grow expert problem-solving skills through independently applying the principles and methods learned in the program to various complex real-world problems.
- Develop a deep understanding of statistical properties and performance guarantees, including convergence rates (in theory and practice) for different learning algorithms.
- Become an expert in using and deploying machine learning-relevant programming tools for a variety of machine learning problems.
- Grow proficiency in identifying the limitations of existing machine learning algorithms and the ability to conceptualize, design, and implement an innovative solution for a variety of highly complex problems to advance the state-of-the-art in machine learning.
- Able to initiate, manage, and complete research manuscripts that demonstrates expert self-evaluation and advanced skills in communicating highly complex ideas related to machine learning.
- Obtain highly sophisticated skills in initiating, managing, and completing multiple project reports and critiques on a variety of machine learning methods, that demonstrates expert understanding, self-evaluation, and advanced skills in communicating highly complex ideas.
Research Thesis
PhD thesis exposes students to cutting-edge and unsolved research problems in the field of Machine Learning, where they are required to propose new solutions and significantly contribute towards the body of knowledge. Students pursue an independent research study, under the guidance of a supervisory panel, for a period of 3 - 4 years.
Visa Opportunities for Graduates
Outstanding graduates from MBZUAI are eligible to apply for a 10-year golden visa in UAE, which will enable themselves and their family members to work and live in UAE with corresponding benefits.
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Visit programme websiteProgramme Structure
Courses included:
- Research Communication and Dissemination
- Machine Learning
- Advanced Machine Learning
- Probabilistic and Statistical Inference
- Machine Learning Paradigms
- Topics in Advanced Machine Learning
- Advanced Probabilistic and Statistical Inference
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
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Language
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Credits
Delivered
Disciplines
Machine Learning View 3 other PhDs in Machine Learning in United Arab EmiratesExplore more key information
Visit programme websiteAcademic requirements
- The track from BA to PhD, GPA is 3.5 and GRE is required
- The track from BA + MA to PhD, GPA is 3.2 and GRE is optional
English requirements
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Other requirements
General requirements
- Bachelor’s degree in a S.T.E.M field such as Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics and other relevant Science and Engineering majors, from a university accredited or recognized by the UAE Ministry of Education (MoE) which demonstrates academic distinction in a discipline appropriate for the doctoral degree.
OR
- Bachelor’s and Master’s degrees in S.T.E.M fields such as Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics and other relevant Science and Engineering majors, from a university accredited or recognized by the UAE Ministry of Education (MoE).
- Applicants must provide their completed degree certificates and transcripts (in English) when submitting their application. Senior-level students can apply initially with a copy of their transcript and expected graduation letter and upon admission must submit official completed degree certificate and transcript.
Make sure you meet all requirements
Visit programme websiteTuition Fee
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International
FreeTuition FeeBased on the tuition of 0 EUR per year during 48 months. -
National
FreeTuition FeeBased on the tuition of 0 EUR per year during 48 months.
Full scholarship including 100% tuition fees, free accommodation, annual round tickets to/from the home country, health insurance and a monthly stipend of 2,000 euro for international students, for UAE Nationals please contact admission@mbzuai.ac.ae for stipend details.
Living costs for Abu Dhabi
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
All admitted students are granted upon acceptance the privilege to complete their study with a full scholarship including 100% tuition, a monthly stipend and many more benefits. However, and in order to maintain their scholarships, stipends and other benefits, students are expected to maintain high academic standing, comply with the university code of conduct and fulfill certain requirements during their study tenure.
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Scholarships Information
Below you will find PhD's scholarship opportunities for Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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