best artificial intelligence masters programs

After finishing your degree, you can enroll a masters degree to acquire advanced knowledge and get closer to the field in which you want to get a job. A Master in Artificial Intelligence is a program that is designed to provide students a deeper knowledge of technology related to AI.

Through a master in deep learning and artificial intelligence you will develop many skills that will lead students to high-paying jobs in their future. Technological skills and critical-thinking will be developed at the same time with problem-solving abilities. You can find one of the best artificial intelligence masters degree’s program in our university:

• Artificial Intelligence and Machine Learning: This subject will teach you the history and evolution of Artificial Intelligence, the difference between supervised, unsupervised and reinforced learning, the meaning of symbolic and sub-symbolic learning, the classification and regression models and the model optimization.
• Feedforward networks: You will learn how feedforward networks work through the theory on: feed-forward single-layer networks, multilayer networks, backpropagation algorithm, loss functions, and hyper-parameters and learning strategies.
• Genetic algorithms and evolutionary computation: thanks to that subject you will learn: search and optimization, coding, genetic algorithms, evolutionary strategies and swarm models.
• Unsupervised and reinforce learning: the focus of this subject involves: clustering and classification, K-Mean type algorithms, NN-type algorithms, Tree algorithms and reinforcement learning.
• Programming in Python: programming languages are very important in the master; therefore, this subject focuses on: arrays, matrices and vectors, graphics, program flow management, interfaces and data loading; and programming exercises.
• Convolutional and sequential networks: the main aspects studied are: fundamentals and structure of convolutional networks, residual networks, sequential and time series problems, recurrent networks, backpropagation through time and LSTM models.
• Augmented intelligence and human machine interaction: focusing on machine learning, you will study: cognitive theories, interaction design, robot ethics and augmentation technologies.
• Seminars: this is one of the most important parts of the masters degree. It includes the approach to several fields in which Deep Leaning is applied. Fields such as: medicine, finance, automotive driving, computer vision, speech recognition and others.
• Masters’ thesis: the final path in which you will show your knowledge and proficiency on what you have already learned on the masters degree.

If you are interested in our master and you want to join us, contact us. We will help you and give you advice to succeed in your career.