Doctor of Philosophy in Natural Language Processing - Artificial Intelligence

Natural language processing (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.

Alumni Statistics

The minimum degree requirements for the Doctor of Philosophy in Natural Language Processing is 60 credits, distributed as follows:

Core courses

The Doctor of Philosophy 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 AI701, MTH701 and NLP701 as mandatory courses. They can select three electives.

Elective courses

Students will select a minimum of three elective courses, with a total of 12 (or more) credit hours. Two must be selected from List A and one must be selected from List A or B based on interest, proposed research thesis, and career aspirations, in consultation with their supervisory panel. The elective courses available for the Doctor of Philosophy in Natural Language Processing are listed in the tables below:

List A

List B

Research thesis

The Ph.D. 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 three to four years.

STEM major students with GPA above 3.2/4.0

CS Rankings in a Glance

• 18th in the field of AI in CS Rankings globally
• 28th in the field of ML in CS Rankings globally
• 16th in the field of CV in CS Rankings globally
• 19th in the field of NLP in CS Rankings globally

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 on 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 unsolved 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 expert understanding and advanced skills in communicating highly complex ideas

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