The live sessions consist of interactive workshops and networking sessions. What is the value that Data Science can create for your business? If you want to take informed decisions on data driven business, innovation paths and strategies, then you should definitely sign up for this course. Alongside lectures on big data, machine learning, data valorisation and communication, you learn about tools and methods, and data science applications.
The short executive course is designed to achieve two synergic goals: first, build a solid foundation in planning and managing data-centric projects to support data-driven business strategies and innovation paths within your enterprise and, second, learn how to set measurable goals that enable the alignment of business and technical perspectives.
The live sessions consist of interactive workshops and networking sessions where you will put in practice what you learnt on real-world cases, in collaboration with top managers from known companies from diverse sectors. You will experience a cross-disciplinary, cross-business innovation context where real problems and ideas are put on the table by high-valued executives, managers and business professionals, and a tailored and one-to-one interaction with world-renowned data science experts, with strong academic background and extensive industrial and educational experience.
The online course has been taken by over learners and is rated 4. One of the learners said:. It was a good introduction to the world of applied data science.
For who? The short executive course is developed for: managers and decision-makers to help them make who need to handle the foundations of data analysis for taking these informed decisions.A key factor on this process is going to be the engineering profile of the people that will lead this transformation, a real integrated curriculum among Industrial and Manufacturing technologies, together with computer science and telecommunications technologies.Conntrack mark 0
The aim of this Programme is to provide this truly integrated curriculum on student. Juan J. If you wish to apply to this Programme you must have a Bachelor of Science in, or be in your final year of studies of:. You will have the option to work closely with some of the top multinational companies in partnership with the EIT Digital, they will give you training in real projects, as well as mentoring to start your own business, valuable practical experience, and help you to develop your entrepreneurship skills.
Typical titles are:. These Areas are considered the core knowledge to develop the Factory of the Future on every industrial business. Advanced Robotics This subject is focused on applying robotics arm manipulation and mobile platforms technologies to industrial processes. Applied robotics discusses topics related to mobile robotics ground, aerial and water-underwater vehicles, complex arm manipulation, and robotic software programming platforms, such as ROS and several simulation and designing tools.
Industrial Internet of the Things The aim of this subject s to cover basic aspects of communication networks, and how to implement them from the point of view of the design of embedded systems on the edge.
Communication networks, wireless technologies and others, Embedded computing platforms, Embedded operating systems, Real Time Embedded systems. Digital Manufacturing This course is oriented to develop the basic knowledge on technologies like Product Lifecycle Management systems and Manufacturing Execution Systems, in order to produce valid Product and Production Digital Twin viable to improve productivity and efficiency in real applications, Plant Simulation Technologies will support optimization of the assets and also will allow gathering data to produce other advanced uses and applications.
Artificial Intelligence The main objective of this course is the student to be able to apply the most important Machine Learning Techniques based on Artificial Neural Networks and be able to analyze their results and methodology when compare to classical statistical methods. The methodology is based on solving problems using actual data, some of them based on synthetic data, useful for getting familiar with the techniques, and some others based on data from real-word applications.
Budapest University of Technology and Economics BME was founded in under the name of Institutum Geometrico-Hydrotechnicum, has been the top higher education institution of Hungary and it also has well-established international reputation.
In the context of Industrial Systems, integration of all the Product Lifecycle Data can now be certainly connected with real data arising from Products, Processes, Production Lines, and Operation Technologies. In the other hand there is a strong need to improve productivity and effectiveness. Automation Investment in the recent years has not been able per se to improve productivity, since most of processes are highly automated yet.
Smart use and specific applications development will be needed in the coming years to improve productivity of highly automated plants, and to improve effectiveness. Low latency is very important in such processes to be applied in real time; thus edge computing will play a substantial role on the new developments. Also, the courses focus on how to protect data when storing and communicating and how to ensure data integrity. Artificial Intelligence: The courses cover a range of advanced topics in artificial intelligence.
The topics and methodologies covered in these courses are used for complex identification and control system. Data Management: The courses give a deeper insight into the means and methods to gather, transfer, and analyse data depending on energy, integrity, security, and other relevant requirements.Ziar click pentru femei
Embedded Systems and IoT: In the final module, the computation and communication using distributed embedded systems are discussed. An additional focus on the concept of Internet-of-Things for industry is analysed and looked into. Contact: Dr Juha Plosila, juha. It will include a large industry-driven capstone project multidisciplinary group work as a recommended elective course with shipbuilding or another relevant branch of manufacturing as a focus area.
Turku is well known especially for its thriving shipbuilding and marine engineering industry. Matyas Ando; am inf. Courses within the Digital Factory programme will be supported by hands-on experiences with CNC machines, PLC controlled assembly lines, as well as robots. Thanks to our core infrastructure, we are able to teach Industry 4.
In particular, we focus on communication channels and data-driven optimization. Digital Factory Lab I. The project task is related to the machining processes CNC systems or assembly line PLC, Robotwhere the data collection and processing is essential. The aim is that students meet with industrial problems and create appropriate solution for it with the help of the supervisor. Hardware based programming 5ECTS : The aim of this subject is to cover basic aspects of hardware resources, and how to utilize them from the point of view of the design of embedded systems.These graduates are not just data scientists: they are technical experts who also understand how to use data to help drive the economy in Europe.
With this batch of new data scientists, the EIT Digital Master School is meeting a rising need in Europe for specialists in this discipline. The data science programme started two years ago to respond to market demand for data scientists with an entrepreneurial mindset. The EIT Digital Master School aims to train professionals with state-of-the-art technical excellence in key digital technology areas, combined with strong expertise in innovation and entrepreneurship.
Renata de Carvalho, EIT Digital Data Science Programme Coordinator at the Eindhoven University of Technology says that the EIT Digital Master School delivers data scientists that " have not only learned to analyse the data, but are also capable of thinking of new ways of presenting these insights; developing new products or new optimisation techniques.
They know how to use data from the business perspective. Data Science is one of eight Master School programmes students can choose to study at two of 17 leading technical universities across Europe. I feel like EIT Digital provides much greater value to students. It's not just about the degrees, it's about the doors that are opened through networking and socialising. I was hired at IBM as a graduate in their "consulting by degrees" programme, three weeks before I handed in my thesis.
Right now, I am very excited to see what I can learn from working in Big Blue; this is a company with a wealth of opportunities, brilliant minds and some qualities I can get behind. So, let's see what this leads to, and how long it takes before I am ready to go out and put my entrepreneurship minor to the test.
Studying at two of the participating technical top universities, one for each year of the master's course, is part of a mobility programme that EIT Digital encourages to help students discover more about the European entrepreneurial spirit and cultural differences in industry and society.
In between the first and second year of study, students also attend a two-week Summer School in yet another country where they work on real-life business cases from the EIT Digital partner network. The Summer School is also attended by professionals who like to stay ahead of key technological developments. For Shahrokhian, the mobility programme was " It really made me become more ambitious. In these two years, my long-term focus has shifted completely, from working at big companies to creating something relevant to humanity.
Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis.
With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. The Data Science Master's offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.
Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts e.
At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career. If you wish to apply to this programme you must have a Bachelor of Science in, or be in your final year of studies of:.
The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics. Kindly note that relevant work experience can compensate a non-strictly matching bachelor degree. Please justify your work experience in your motivation letter or resume. Once your papers are received, the selection committee will make the final decision on whether your bachelor's and work experience are sufficient as prerequisites for the track you have applied for.
Note for exit year at partner university: According to Finnish legislation, a master's thesis is a public document and its contents cannot be confidential. Therefore, the material of the thesis must be chosen so that it does not include any information that could be classified as a business secret of the financing company.
Link to the university: www. Renata de Carvalho; r. Our entry point teaches thorough mathematical, technical, and applied skills in Machine learning, in particular geared towards Natural Language Processing NLP.
Worked at Bell Labs for 7 years, then moved to Berkeley, California. Independent consultant with ClopiNet. The course navigates through the basic concepts and principles behind the main data science models and techniques.
Data quality and pre-processing issues related to various data types and modeling problems are also tackled. The course focuses on mathematical foundations of data science including basic univariate and multivariate statistics, basic concepts of probability theory, basic concepts from geometry, basic concepts from linear algebra and basic concepts from information theory.
The purpose of the course is that students with different backgrounds in the above mentioned disciplines of mathematics receive a compact knowledge necessary for understanding the basic principles and methods in data science. The course is devoted to main concepts, models and principles behind databases. Besides a good knowledge in machine learning, familiarity with various data models and hands-on skills and experience related to database technologies are inevitable in the toolbox of a data scientist.
The main topics discussed within the lecture are non-relational data models and database technologies; operational database management systems such that data lakes, data marts and data warehouses; data analytics and on-line analytical processing tools and techniques.
Topics related to the efficiency of various models and technologies w. Introduction to security analysis methods, including threat modelling and attack modelling both for cyber attacks, e. Cryptographic primitives, mathematical background and scope.Copyright symbol r
Use of appropriate cryptographic tools in protocols. Overview of most important protocols used in networking, especially in the automotive industry. Overview of existing standards and recommendations on safety and security of autonomous driving systems. Stable matching. Gale-Shapley algorithm.
Divide and conquer algorithms. Counting inversions. Closest pair of points. Dynamic programming.EIT Digital Master School offers a two-year education in which you choose two universities in two different European countries, building a curriculum of your choice based on your skills and interests.
We offer double degrees which combine technical competence with skills in Innovation and Entrepreneurship. The Kick-Off is held every year at a different location where we have a co-location center - all expenses paid.
Our programmes cover technology, innovation, and entrepreneurship in relation to five areas with major societal and industrial challenges, but also business opportunities: Digital Cities, Digital Industry, Digital Wellbeing, Digital Tech, and Digital Finance.
Our master students immerse themselves in real business case studies originating from accelerators, startups, and our network of industrial partners. As a student, you will have the opportunity to collaborate with our industrial partners and bring innovation to market as part of your Innovation and Entrepreneurship studies.
Data Science (DSC)
You will also be able to gain first-hand experience through the Innovation Activities hosted, managed and financed by EIT Digital. All rights reserved. Legal notice. Tomorrow's digital innovators and entrepreneurs Request Info.
Your browser does not support HTML5 video. Two Years, Two Countries, Two Degrees EIT Digital Master School offers a two-year education in which you choose two universities in two different European countries, building a curriculum of your choice based on your skills and interests.
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Read more. Tuesday, September 29 "I will advocate for Digital transformation as much as possible withinStudents acquire in-depth technical skills in scalable data-processing techniques and data-analysis methods.
They learn how to use and develop a suite of tools and technologies that address data collection, cleaning, storage, transfer, analysis, visualization, and related concepts. At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model.Masters in Data Science with full scholarship ft. Satyaki Mallick
These additional entrepreneurial skills will give students their ticket to a successful career. Data science is a highly innovative area.Donating liver while alive
The data scientist simultaneously masters scalable data management, data analysis, and domain-area expertise to extract key knowledge from the data and solve real-world problems. See the programme website for information on tuition fees and scholarships. The programme is a double degree programme, which means that you will study at two European universities and in two different countries. The double-degree programme is implemented jointly by leading European universities. The students can select their favorite first entry and second exit year universities.
Each university has a unique specialisation area, which allows students to select their own second year area of expertise. Kindly check before applying. The ICT Innovation programme has separate application periods and admission procedures from the rest of the Master's programmes offered by Aalto University.
Further information on the admission is available on the EIT Digital Master School website for prospective students masterschool. Do you want to study in the Nordics in Finland? At Aalto University science and art meet technology and business. We believe in the power of curiosity and encourage our students to explore the unknown as well as to learn and do things in a whole new way.
Boasting the largest technology hub of the Nordic countries, Finland is a world leader in information technology, business, design and many other academically centred fields. You have not yet given permission to place the required cookies from YouTube.
Accept the required cookies to view this content. Study options. Degree: Master of Science Technology. Application period: EIT Digital Master School offers a two-year education in which students choose two universities in two different European countries, building a curriculum of their choice based on their skills and interests. The Master School offer s double degrees which combine technical competence with skills in Innovation and Entrepreneurship.
In this programme, students will learn about scalable data collection techniques, data analysis methods, and a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, and visualization, and related concepts e. The Master is a ECTS programme, and you will be able to adapt the programme to your personal needs and interests:.
The two-year Master has a special asset, which is geographical mobility.
Digital Manufacturing (DM)
You will study in two prestigious universities in two different European cities:. You will be awarded with a double degree, one by the first university entry point and the second degree from the second university exit pointas well as an additional supplement certificate by the EIT Digital, which will mark the specific knowledge results in the fields of innovation and entrepreneurship.
Interships in Madrid. You will have the option to work closely with some of the top multinational companies in partnership with the EIT Digital, they will give you training in real projects, as well as mentoring to start your own business, valuable practical experience, and help you to develop your entrepreneurship skills.
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Computer Science School. The Master is a ECTS programme, and you will be able to adapt the programme to your personal needs and interests: The two-year Master has a special asset, which is geographical mobility. You will study in two prestigious universities in two different European cities: You will be awarded with a double degree, one by the first university entry point and the second degree from the second university exit pointas well as an additional supplement certificate by the EIT Digital, which will mark the specific knowledge results in the fields of innovation and entrepreneurship.
Application Dates Check application dates.Nashville bomber suspect
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