The programme focuses on modern methods from machine learning and database management that use the power of statistics to build efficient models, make reliable prediction
Data is the driving force behind today's information-based society. There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex systems.
The programme focuses on modern methods from machine learning and database management that use the power of statistics to build efficient models, make reliable predictions and optimal decisions. The programme provides students with unique skills that are among the most valued on the labor market.
The rapid development of information technologies has led to the overwhelming of society with enormous volumes of information generated by large or complex systems. Applications in IT, telecommunications, business, robotics, economics, medicine, and many other fields generate information volumes that challenge professional analysts. Models and algorithms from machine learning, data mining, statistical visualization, computational statistics and other computer-intensive statistical methods included in the programme are designed to learn from these complex information volumes. These tools are often used to increase the efficiency and productivity of large and complex systems and also to make them smarter and more autonomous. This naturally makes these tools increasingly popular with both governmental agencies and the private sector....
You will learn to use new knowledge to solve complex machine learning and autonomous systems problems. You’ll develop a range of skills including the theory of machine le
Learn how to research, design and develop machine learning and autonomous systems technologies. You’ll be prepared for a wide range of careers in industry.
Intelligent and autonomous systems are increasingly important in all areas of human life and activity from medicine and space exploration to agriculture and entertainment.
Understanding and developing autonomous systems involves a range of skills and knowledge including designing interactive systems with both human and machine elements, and modeling and building systems that can sense and learn.
Machine learning is at the heart of autonomous and intelligent systems, including computer vision and robotics. It also underpins the recent developments in data analytics across many fields....
Data engineering tickles your curiosity: every day is an adventure in the jungle of new data challenges. Data-driven systems are at the centre of modern computer engineer
The key to the fourth industrial revolution
Data engineering tickles your curiosity: every day is an adventure in the jungle of new data challenges.
Data-driven systems are at the centre of modern computer engineering and hold great promise for the future.
Data engineering is needed for solving challenging pattern recognition problems, such as intelligent search engines, self-driving cars, autonomous robots, or automatic car number plate recognition systems.
Our major studies in Data Engineering and Machine Learning combine modern machine learning techniques with efficient implementation skills. Real-life deployment skills are not only about the mathematics of machine learning but also require an understanding of databases, programming languages and even hardware design; all aiming at the efficient processing of huge data masses, with the best algorithms brought by modern machine learning....