Unleashing the power of AI to revolutionize industries and drive progress
Master of Artificial Intelligence
The Master of Artificial Intelligence (MSc in AI) program is a cutting-edge educational journey that immerses students in the dynamic world of artificial intelligence. This program is designed to provide students with both comprehensive theoretical knowledge and practical skills, ensuring they become proficient in the latest AI techniques, algorithms, and technologies. Throughout the program, students delve into core AI concepts, including machine learning, deep learning, natural language processing, and computer vision, gaining a solid foundation in the field’s fundamental principles.
One distinctive feature of the program is its strong emphasis on ethical AI. As the responsible development and deployment of AI become increasingly vital, students are guided in understanding and integrating ethical considerations into their AI projects. Hands-on projects and practical experience are central components of the curriculum, enabling students to apply their knowledge to real-world scenarios and foster innovation.
A Master of Science (MSc) in Artificial Intelligence (AI) opens up a multitude of job opportunities in various industries. AI is a rapidly growing field, and professionals with expertise in AI are in high demand. Here are some job opportunities for individuals with an MSc in Artificial Intelligence:
- Machine Learning Engineer.
- Data Scientist.
- AI Research Scientist.
- Natural Language Processing (NLP) Engineer.
- Computer Vision Engineer.
- Robotics Engineer.
- AI Product Manager.
- AI Consultant.
- AI Ethics Officer.
- AI Project Manager.
- AI Business Analyst.
- AI Trainer/Annotator.
These job opportunities reflect the diverse applications of AI across industries, and individuals with an MSc in Artificial Intelligence have the potential to contribute to cutting-edge projects and shape the future of AI technology.
- Possession of a four-year undergraduate degree or its equivalent from a recognized and accredited college or university in a relevant field.
- If the student’s previous academic specialization is not relevant, a preparatory semester of mandatory core courses will be added to the program before its commencement (Introduction to Computing, Fundamentals of Information Systems, Database Concepts, and Design, and Principles of Management).
- Complete application
- Personal Transcripts
- Personal statement
- Resume
- Two letters of recommendation
- Proof of at least one year’s professional work experience completed prior to the start of the study program. Work experience must have been gained after completion of your undergraduate studies
- Introduction to Probability and Statistics.
- Artificial Intelligence.
- Algorithm Design and Analysis.
- Data Analytics.
- Computer Vision & Pattern Recognition
- Machine Learning.
- Deep Learning.
- Creating AI-Enabled Systems.
- Data Mining.
- Expert Systems.
- Project: AI Use Case.