PROGRAM LEVEL
The M.Sc. in Machine Learning and Computational Intelligence aims to prepare candidates with the theoretical and practical knowledge that can be applied to real-world systems and processes. Courses deeply explore areas of AI, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Big Data Analytics. The program offers an advanced level of learning by providing critical understanding of the theories, concepts and techniques for the design, development and effective use of Machine Learning and Computational Intelligence in different applications.
Graduates of this program are expected to be highly qualified for prolific careers in the IT industry. Moreover, they shall gain the needed knowledge to be able to analyze, evaluate, and contribute in different emerging research areas in Software Engineering. The program should mold the students to become professionally enriched with communication, technical and innovative skills, while at the same time instilling in them an understanding of professional and ethical issues.
ABOUT THE PROGRAM
DETAILED STUDY PLAN
Download Detailed Study Plan (PDF، 0.1 MB، 2 Pages).
PROGRAM OBJECTIVES
- Competent and effective: Acquire advanced cutting-edge knowledge and skills in Machine Learning and Computational Intelligence necessary to advance their careers in IT.
- Learn for life and innovate: Engage in exploration, innovation, research, and lifelong learning in the field of Machine Learning and Computational Intelligence.
- Research, Ethics, and professionalism: Contribute positively to society through responsible, professional, and ethical Artificial Intelligence practice and research.
PROGRAM INTENTDED LEARNING OUTCOMES
a)Apply the concepts, principles and theories related to Machine Learning and Computational Intelligence and appropriate to the discipline.
b) An ability to critically understand Machine Learning and Computational Intelligence problems and propose and develop solutions based on current research and state-of-the-art techniques.
c) An ability to analyze challenging AI and ML problems and identify and define requirements appropriate for their solutions that meet appropriate standards and realistic constraints.
d) An ability to design, implement, and evaluate a system, process, component, or program to meet desired needs using best AI and ML practices and standards, within realistic constraints such as economic, environmental, social, ethical, health and safety, etc.
e) An ability to function effectively in a team by assuming different roles and demonstrating effective leadership qualities and project management skills to accomplish a common goal towards a significant project.
f) An ability to assess professional, ethical, legal, security and social issues and responsibilities.
g) An Ability to communicate effectively both verbally and in writing with a range of audiences.
h) Ability to engage in continuous professional development, and life-long learning.
i) An ability to acquire, critically evaluate and apply a wide range of advanced and specialized techniques, skills, and tools necessary for Machine Learning and Computational Intelligence practice.
j) An ability to conduct research, individually and in a team.
