Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

What you'll study

Study is organised to provide core technical foundations, elective breadth, practical experience and a research thesis. The programme learning outcomes require students to be able to model textual and speech data, explain syntactic and semantic structures, implement and benchmark NLP algorithms, develop original research, deploy NLP tools, collaborate on projects, and communicate findings.

• Credit structure: 36 credits total.
• Core courses: 6 courses (16 credit hours) required to establish essential knowledge and skills.
• Electives: minimum of 2 courses (8 credit hours) chosen in consultation with a supervisory panel to match background and research direction.
• Internship: at least one internship (up to six weeks) is a graduation requirement (2 credits).
• Introduction to research methods: 1 course (2 credits).
• Research thesis: 1 thesis (8 credits) as the primary research component.
• Example core course listed: AI7101 Machine Learning with Python (assumed knowledge: linear algebra, mathematical analysis, algorithms; intermediate programming skills required).

Entry requirements

The publicly provided pages specify this is a graduate admission programme; specific entry requirements are not listed on the extracted text. Prospective applicants should consult the university’s graduate admissions information for academic prerequisites, English language expectations and application deadlines.

Career prospects

The curriculum and learning outcomes prepare graduates for roles developing and evaluating systems such as machine translation, text summarisation, dialogue systems, interactive voice response, digital personal assistants and chatbots. Graduates are positioned for research careers, industry engineering roles focused on NLP model development and deployment, or continued doctoral study.

Scholarships & funding angle (general)

The source text does not specify scholarship details for this degree. Applicants should review MBZUAI’s admissions and funding pages for up-to-date information on fellowships, scholarships and financial support opportunities.