MSc Machine Learning
Entry requirements
Undergraduate Degree
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. Students should have a minimum CGPA of 3.2 (on a 4.0 scale) or equivalent.
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. A degree attestation (for degrees from the UAE) or an equivalency certificate (for degrees acquired outside the UAE) should also be furnished within their first semester at the university.
English Language Proficiency
Each applicant has to show proof of English language ability by providing valid certificate copies of either of the following:
- TOEFL iBT with a minimum overall score of 90
- IELTS Academic with a minimum overall score of 6.5
- EmSAT English with a minimum score of 1550
TOEFL iBT and IELTS Academic certificates are valid for two (2) years from the date of the exam while EmSAT results are valid for eighteen (18) months. Only standard versions (i.e, conducted at physical test centers) of the accepted English language proficiency exams will be considered.
Waiver requests from eligible applicants who are citizens (by passport or nationality) of UK, USA, Australia, and New Zealand who completed their studies from K-12 until Bachelor’s degree and Master’s degree (if applicable) from those same countries will be processed. They need to submit notarized copies of their documents during the application stage and attested documents upon admission. Waiver decisions will be given within seven days after receiving all requirements.
Graduate Record Examination (GRE) - optional
General Test certificate is optional and submitting one will be considered a plus during the evaluation.
Statement of Purpose
In an 800-word essay, please explain why you would like to pursue a graduate degree at MBZUAI and include the following information:
- Motivation for applying to the university
- Personal and academic background and how it makes you suitable for the program you are applying for
- Stand-out achievements, e.g., awards, distinction, etc.
- Goals as a prospective student
- Preferred career path and plans after graduation
- Any other details that will support the application
Referee Recommendation
Applicants will be required to nominate referees who can recommend their application. MSc applicants should have a minimum of two (2) referees wherein one was a previous course instructor or faculty/research advisor and the other a previous work supervisor.
To avoid issues and delays in the provision of the recommendation, applicants have to inform their referees of their nomination beforehand and provide the latter's accurate information in the online application portal. Automated notifications will be sent out to the Referees upon application submission.
Entry Exam
Selected applicants will be invited to participate in an entry exam that will include questions related to the following topics:
- Math: basic Math questions related to calculus, probability theory, linear algebra and optimisation
You are recommended to read about these topics especially on how they are related to Machine Learning. You can find tons of materials online. For instance, you can search “linear algebra for machine learning” on YouTube and get to see many video lectures. In addition, you can find courses on sites like Coursera, Udemy, and many others.
- Machine Learning
MSc applicants: No previous background is needed
- Programming
MSc applicants: You will be asked basic programming questions. Most questions are in Python but the specific language is not a problem since the questions are algorithmic rather than language-specific. Basic understanding about different data structures such as Arrays, Stacks, Queues, etc is important. In addition, It is also important to read about different programming algorithms such as sorting and searching algorithms, and complexity. You will be asked questions which require finding the output of a piece of code, finding the problem/error in a short code, and finding the code which performs a specific task.
Admission Interview
Months of entry
August
Course content
The scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. These algorithms 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.
For full details see programme URL.
Fees and funding
All admitted students on full-time basis are granted upon acceptance the privilege to complete their study with a full scholarship including 100% tuition fees, accommodation , health insurance and other benefits.
A monthly allowance will be provided to all admitted students during their study period at MBZUAI. 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.
Qualification, course duration and attendance options
- MSc
- full time24 months
- Campus-based learningis available for this qualification
Assessment
Assessment | What kind of work will I be doing? (proportionally) |
---|---|
Written/ formal examinations | 20 |
Written coursework / continuous assessment | 65 |
Dissertation | 15 |
Course contact details
- Name
- James Brown
- james.brown@mbzuai.ac.ae