Tuition Fee
Start Date
Medium of studying
Duration
48 months
Program Facts
Program Details
Degree
PhD
Major
Artificial Intelligence | Data Science
Area of study
Information and Communication Technologies
Timing
Full time
Course Language
English
Intakes
Program start date | Application deadline |
2024-09-01 | - |
About Program
Program Overview
The PhD in Intelligent Systems and Data Science (ISDS) is a thesis-based program that prepares students for careers in research and teaching in the field of Intelligent Systems and Data Science. The program incorporates a unique element in its qualifying examination, requiring students to draft a research grant application. Graduates are well-equipped for careers in academia, industry, government, or the community, focusing on research or teaching in the field of Intelligent Systems and Data Science.
Program Outline
Degree Overview:
- Overview: The PhD in Intelligent Systems and Data Science (ISDS) is a thesis-based program that aims to address the need for highly skilled scientists capable of handling challenges in artificial intelligence & machine learning, integrated smart systems, modern software systems, statistical/mathematical modelling & analytics, and big data infrastructure.
- Objectives: The program targets individuals interested in pursuing careers in academia, industry, government, or the community, focusing on research or teaching in the field of Intelligent Systems and Data Science.
- Unique approaches: The program incorporates a unique element in its qualifying examination, requiring students to draft a research grant application, providing valuable experience in grant preparation.
Careers:
- Career outcomes: Graduates are well-equipped for careers in the following areas:
- Research and Teaching: Tackling challenges in artificial intelligence, machine learning, mathematical modeling and analytics, and big data infrastructures in academia, education, government, and the community.
- Research and Development: Applying logical thinking, problem-solving skills, and qualitative methods knowledge in business and industry, particularly in software development, information technology, startup ventures, business intelligence, insurances, finances, marketing, medical and technological fields.
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