Definition and overview of the program
Artificial intelligence (AI) is the theory and development of computer systems capable of performing tasks that traditionally require human intelligence, such as reasoning, making decisions, or solving problems. Artificial intelligence includes a wide range of technologies, such as machine learning, deep learning, and natural language processing (NLP). AI can be applied to a variety of fields, such as healthcare, education, business, entertainment, and security.
The Artificial Intelligence program is a course of study that teaches students the basics and applications of artificial intelligence. Students learn how to design, implement, and evaluate artificial intelligence systems that can perform tasks such as speech recognition, computer vision, natural language generation, data analysis, and playing games. Students also learn about the ethical, social, and legal implications of artificial intelligence.
An AI program can prepare students for a variety of careers in various industries that require AI skills, such as software development, data science, robotics, biotechnology, information security, and education. Students can also pursue postgraduate studies or research in artificial intelligence or related fields.
Admission Requirements
The admission requirements for an Artificial Intelligence program in Malaysia depend on the university and level of study. However, some common requirements are:
- High school diploma or equivalent to obtain a bachelor's degree
- Bachelor's degree in a related field towards a Master's degree
- Master's degree in a related field for a doctoral degree
- Minimum academic grade point average (GPA) or cumulative grade point average (CGPA) minimum
- A minimum score in an English language test such as IELTS, TOEFL or MUET
- Portfolio of projects or publications (optional)
- Motivational letter or statement of purpose (optional)
- Letter of recommendation (optional)
Students who wish to apply for an Artificial Intelligence program in Malaysia should check the requirements and deadlines specified by their chosen university and prepare the necessary documents and fees.
The best universities that offer this program in Malaysia
University Name | Class | Annual tuition fees | more details |
University of Nottingham Malaysia Branch | Computer Science with Artificial Intelligence BSc (Hons) / Computer Science with Artificial Intelligence BSc (Hons) | $11,364 | more details |
APU University | Bachelor of Computer Science (Hons) (Intelligent Systems) / BACHELOR OF COMPUTER SCIENCE (HONS) (INTELLIGENT SYSTEMS) | $7,330 | more details |
UCSI University | Bachelor of Computer Engineering (Artificial Intelligence) with Honors | $6,040 | more details |
MMU Multimedia University | Bachelor of Computer Science (Hons.) Artificial Intelligence | $5,850 | more details |
UTeM Melaka Technical University | Bachelor of Computer Science (Artificial Intelligence) | $2,000 | more details |
The most important Arab and international universities for studying the specialty of artificial intelligence
International universities:
- Stanford University
- Massachusetts Institute of Technology (MIT)
- Carnegie Mellon University
- University of California, Berkeley
- University of Oxford
Arab universities:
- King Abdullah University of Science and Technology (King Abdullah University of Science and Technology) - Saudi Arabia
- American University of Beirut (American University of Beirut) - Lebanon
- Qatar University (Qatar University) – Qatar
- Cairo University (Cairo University) – Egypt
- United Arab Emirates University (United Arab Emirates University) – UAE
Jobs eligible for
Graduates of the Artificial Intelligence program can obtain various jobs that require skills and knowledge in the field of Artificial Intelligence. Here are some examples of these functions:
- Artificial Intelligence Engineer: An AI engineer develops and maintains AI systems that can perform tasks such as image recognition, natural language processing, or recommender systems. An AI engineer uses programming languages such as Python, Java, or C++, and frameworks such as TensorFlow, PyTorch, or Keras.
- Data scientist: A data scientist analyzes large amounts of data to extract data points and patterns that can help solve problems or make decisions. A data scientist uses tools such as R, SQL, or Tableau, and techniques such as statistics, machine learning, or data visualization.
- Machine learning engineer: A machine learning engineer builds and trains machine learning models that can learn from data and make predictions or classifications. A machine learning engineer uses algorithms such as linear regression, logistic regression, neural networks, or decision trees.
- Robotics Engineer: A robotics engineer designs and builds robots that can perform tasks such as navigation, manipulation, or communication. A robotics engineer uses hardware components such as sensors, actuators, or controllers, and software components such as ROS (Robot Operating System), OpenCV (open source computer vision), or Arduino.
- Natural language processing engineer: A natural language processing engineer develops and improves natural language processing systems that can understand and generate human language. An NLP engineer uses libraries like NLTK (Natural Language Processing Library), spaCy (Industry Strength Natural Language Processing), or Gensim (Topic Modeling for Humans).
Advantages of this program
Studying an Artificial Intelligence program has many advantages for students interested in this field. Here are some of these advantages:
- Learn the latest trends and innovations in artificial intelligence
- Develop skills that are in high demand in the job market
- Opportunities to work on real projects and challenges
- Explore various applications and fields of artificial intelligence
- Enhance creativity and problem-solving abilities
- Contributing to the progress of science and society