Artificial intelligence (AI) is the intelligence exhibited by machines or software, which is regarded as the core knowledge of any Computer Science degree. It is also an academic field of study. Artificial intelligence covers the many aspects of how human intelligence might be encoded in computer programs and mechanisms such as robots. This course introduces the foundation of simulating or creating intelligence from a computational point of view. It allows the students to gain generic problem solving skills that have applicability to a wide range of real-world problems. It covers the techniques of reduction, reasoning, problem solving, search, knowledge representation, and machine learning.
Machine learning is a fast-moving field with many recent real world commercial applications. The goal of Machine Learning is to build computer model that can produce useful information whether predictions, associations, or classifications. The ultimate goal for many machine learning researchers is to build computing systems that can automatically adapt and learn from their experience. This course will study the theory and practical algorithms, basic concepts and paradigms, what key techniques, challenges and tricks. It also cover examples of how machine learning is used/ applied today in the real world, and expose students to some experience in building and using machine learning algorithms. This course will also discuss recent applications of machine learning, such as to robotic control, speech recognition, face recognition, data mining, autonomous navigation, bioinformatics, and text and web data processing
More informationVisit official programme website
For more information visit the program website.
Start dates & application deadlines
- StartingApply anytime.
To ensure that space is available, it is recommended that applications be submitted at least 12 weeks before the opening seminar date
DisciplinesComputer Sciences Artificial Intelligence Machine Learning View 24 other Masters in Machine Learning in United States
We are not aware of any academic requirements for this programme.
- Visa (not required for abroad student)
- I-94 (not required for abroad student)
- Current I-20
- 797A (if any)
- Transcript Evaluation
- English Proficiency
- Proof of Financial Support
International19500 USD/yearTuition FeeBased on the original amount of 19500 USD per year and a duration of .
National19500 USD/yearTuition FeeBased on the original amount of 19500 USD per year and a duration of .
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €6000 to cover your tuition fees.