MBZUAI
Mohamed Bin Zayed University of Artificial Intelligence Mohamed Bin Zayed University of Artificial Intelligence

Program details

Introduction

NLP focuses on system development that allows computers to communicate with people using everyday language. Natural language generation systems convert information from the computer database into readable or audible human language and vice versa. Such systems also enable sophisticated tasks such as inter-language translation, semantic understanding, text summarization and holding a dialog. The key applications of NLP algorithms include interactive voice response applications, automated translators, digital personal assistants (e.g., Siri, Cortana, Alexa), chatbots, and smart word processors.

Program
Competence

Upon completion of the program requirements, the graduate will be able to:

 

  1. Develop a deep and comprehensive understanding of cutting-edge NLP algorithms with applications to real-life scenarios
  2. Implement, evaluate and benchmark existing state-of-the-art in NLP scholarly publications and weigh in their respective pros and cons.
  3. Grow capabilities to identify open research problems, the gaps in the existing body of knowledge, and formulate new research questions
  4. Independently develop innovative solutions, through extensive research and scholarship, to resolve research problems in high-impact real-life applications of NLP.
  5. Demonstrate expert knowledge and highly specialized cognitive and creative skills in NLP to deliver state of the art solutions to existing open research problems.
  6. Pursue an NLP project either independently, or as part of a team in a collegial manner, with minimal supervision.
  7. Initiate, manage, and complete research manuscripts that demonstrate expert self-evaluation and advanced skills in scientifically communicating highly complex ideas.
  8. Develop highly sophisticated skills in initiating, managing, and completing multiple project reports and critiques, on a variety of NLP problems, that demonstrate an expert understanding and advanced skills in communicating highly complex ideas.

 

The minimum degree requirements for the “PhD in Natural Language Processing” are 59 Credits, distributed as follows:

Core Courses
Number of Courses
Credit Hours
Core Courses
4
15 Credit Hours
Elective Courses
2
8 Credit Hours
Research Thesis
1
36 Credit Hours

Core Courses

PhD in Natural Language Processing is primarily a research-based degree. The purpose of coursework is to equip students with the right skillset, so they can successfully accomplish their research project (thesis). Students are required to take COM701, as a mandatory course. They can select three core courses from a concentration pool of eight in the list provided below:

Code
Course Title
Credit Hours
COM701

Research Communication and Dissemination*

3 Credit Hours
NLP701

Natural Language Processing

4 Credit Hours
NLP702

Advanced Natural Language Processing

4 Credit Hours
NLP703

Speech Processing

4 Credit Hours
NLP704

Deep Learning for Language Processing

4 Credit Hours
NLP705

Topics in Advanced Natural Language Processing

4 Credit Hours
NLP706

Advanced Speech Processing

4 Credit Hours

Elective Courses

Students will select a minimum of two elective courses, with a total of eight (or more) credit hours (CH) from a list of available elective courses based on interest, proposed research thesis, and career perspectives, in consultation with their supervisory panel. The elective courses available for the PhD in Natural Language Processing are listed in below table:

Code
Course Title
Credit Hours
MTH701

Mathematical Foundations for Artificial Intelligence

4 Credit Hours
MTH702

Optimization

4 Credit Hours
AI701

Artificial Intelligence

4 Credit Hours
AI702

Deep Learning

4 Credit Hours
DS701

Data Mining

4 Credit Hours
DS702

Big Data Processing

4 Credit Hours
CV701

Human and Computer Vision

4 Credit Hours
CV702

Geometry for Computer Vision

4 Credit Hours
CV703

Visual Object Recognition and Detection

4 Credit Hours
ML701

Machine Learning

4 Credit Hours
ML702

Advanced Machine Learning

4 Credit Hours
ML703

Probabilistic and Statistical Inference

4 Credit Hours
ML704

Machine Learning Paradigms

4 Credit Hours
ML705

Topics in Advanced Machine Learning

4 Credit Hours
ML706

Advanced Probabilistic and Statistical Inference

4 Credit Hours
CV704

Advanced Computer Vision

4 Credit Hours
CV705

Advanced 3D Computer Vision

4 Credit Hours
CV706

Neural Networks for Object Recognition and Detection

4 Credit Hours

Research Thesis

PhD thesis exposes students to cutting-edge and unsolved research problems in the field of Natural Language Processing, 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.

Code
Course Title
Credit Hours
NLP799

PhD Research Thesis

36 Credit Hours