Machine Learning, Data Science and Artificial Intelligence, Master of Science (Technology)
Introduction
Machine Learning, Data Science and Artificial Intelligence, Master of Science (Technology) is a Masters program taught at Aalto University, Finland. The program is offered in campus-based modes with full-time (2 years) options.
Machine Learning, Data Science and Artificial Intelligence is a 120 ECTS major in the Master of Science (Technology) degree at Aalto University. It covers machine learning, data science and artificial intelligence, with study themes that include Deep Learning, Deep Generative Models, Bayesian Data Analysis, Probabilistic Machine Learning, Artificial Intelligence, Federated Learning and Computer Vision. Aalto University describes the field as relevant to problems such as climate change and epidemics.
The programme is organised over two years. It consists of major studies, elective studies and a master’s thesis. Aalto University says the studies emphasise active, hands-on learning through projects and practical assignments. The curriculum starts with compulsory courses that provide a foundation, then allows deeper study in Digital Health, Speech and Language, or Large-Scale Computing. Studies are taught in English and normally require on-campus attendance. The programme also offers exchange, internships and a double degree option with Grenoble INP.
Modules
- Deep Learning
- Deep Generative Models
- Bayesian Data Analysis
- Probabilistic Machine Learning
- Artificial Intelligence
- Federated Learning
- Computer Vision
Admission Requirements
The minimum requirements for admission in Machine Learning, Data Science and Artificial Intelligence, Master of Science (Technology) at Aalto University for all applicants (Domestic or International) are:
- program specific academic requirment set by Aalto University.
- English Language OR any other language requirments as set by Aalto University as pre-requiste for admission in Machine Learning, Data Science and Artificial Intelligence, Master of Science (Technology).
Note: Please check the university website in the link below.
Courses Units
Please check detail of study units at https://opintopolku.fi/konfo/en/koulutus/1.2.246.562.13.00000000000000002767
More Information
- Analyst
- Analytics Engineer
- Data Analyst
- Data Scientist
- DevOps Engineer
- Machine Learning Engineer
- Software Developer
- Software Engineer
- Accenture
- Aureus Analytics
- Discover Financial Services
- Futurice
- Elsevier
- Jongla
- Nokia
- Omniata Inc
- Reaktor
- Sanoma
- Silo AI
- Verto Analytics
Scholarships
6 fully funded scholarships are listed for Finland. See Finland scholarships.