Developed a state-of-the-art curriculum and expert instructors for our 16-week full-time immersion program
Good decisions are always based on data
Develop your expertise in data science by leveraging real-world datasets and learning from industry experts with a Python-based curriculum. Master the relevant tools and techniques to solve real business problems and advance your career today.
Get real results
Our career team helps you identify your strengths, refine your goals and connect you with the more than 200 Nuclio partners to turn your professional aspirations into a reality.
Solve problems together with high performance students with diverse backgrounds in science, data analysis, engineering, mathematics and more. Create meaningful connections, meet potential employers and join a community of lifelong learners....
Expert in Development Applications and Internet: Programmers are undoubtedly the most demanded professionals in the ICT sector. With this Master's we teach from 0 to carry out the automation, creation of applications and solutions on the Internet.
Official Certifications Programming. Professional qualifications that certify you as an official Technician to work anywhere in the world. Official Oracle Java and Android Android certifications in .net and Python and PHP solutions for the Internet are the direct and secure way to a stable and well-paid job...
This international Master program provides a year of international research into public health data science, from project design to real life health data analysis and the
This international Master program provides a year of international research into public health data science, from project design to real life health data analysis and the communication of results.
Academic cooperation: The Master of Public Health Data Science is delivered along with the Bordeaux Population Health Research Center.
Candidates must fulfill the following: hold at least a Master (year 1) degree with honors (minimum 240 ECTS or equivalent) in one (or more) of the following disciplines: statistics, informatics or epidemiology.
Program duration: 1 year, including an internship (60 ECTS).
Language requirements: This program is taught entirely in English. Excellent proficiency in English is therefore required. Students whose native language is not English must provide a TOEFL or IELTS certification: TOEFL score of 550/213/79-80 or IELTS score of 6.0.
Level: Master (year 2) of Science in Public Health Data Science.
University registration fees: 250€ (approximately)
Student Life Contribution: 90€ (to be paid to the CROUS - regional student assistance office)
International program training fees: 4,500€
In 2018 / 2019, scholarships that fully cover training fees will be granted to selected applicants. Applications for these scholarships should be submitted at the same time as the application for the Master program.
Marketing Data Science is a specialization of the Econometrics and Operations Research master's programme. This hands-on study into econometric methods for analyzing mark
Marketing Data Science is a specialization of the Econometrics and Operations Research master's programme. This hands-on study into econometric methods for analyzing marketing data to facilitate better marketing strategies let you become the quantitative marketing specialist and place you at the forefront of a successful professional career.
Marketing Data Science connects many academic disciplines including mathematics, statistics, economics, and marketing, and is primarily concerned with the use of microeconomics, consumer behaviour and statistical techniques to analyse data sets with multiple hierarchies such as product, brand, location, distribution, etc. The econometric methods can be used to analyse volume shares, advertising effects, sale strategies, consumer behaviour, brand loyalty schemes, TV and social media advertising, and many other topics....
In our specialization Econometrics and Data Science of the Econometrics and Operations Research master's programme, we welcome you in the fast-developing world of econome
In our specialization Econometrics and Data Science of the Econometrics and Operations Research master's programme, we weldcome you in the fast-developing world of econometrics and data science methods for ultra-high dimensional data sets. In this specialization, we cover the statistical theory of high-dimensional spaces, the computer science skills of handling big data, the econometric methodology of identifying causal economic relations in a data-rich environment. You further learn the practical skills of analyzing, modelling and forecasting key financial and economic variables, for the purpose of improving policy and decision-making.
The specialization Econometrics and Data Science offers an excellent opportunity for those wishing to enhance their quantitative profile for a career in data science. The program combines different academic disciplines including statistics, econometrics, computer science, economics and business, but it is more than a simple intersection of these. In essence, it is concerned with the theory and practice of transforming large and complex data sets into pieces of information that are potentially beneficial for a wide range of purposes relevant to corporates, economic and government institutions, and financial service companies. This will give you a distinct and strong profile, placing you at pole position for a successful career as a data scientist in professional, business and academic environments....
Data science: a shock to the financial system, or its biggest opportunity? The availability of big data, in combination with rapidly increasing computing power, is uncove
Data science: a shock to the financial system, or its biggest opportunity? The availability of big data, in combination with rapidly increasing computing power, is uncovering mechanisms not visible before. Blockchain has the ability to fundamentally change the way we register and administer information. Networks provide the opportunity to build robust and stable interactions. Major challenges lie ahead in understanding what these fascinating new technologies imply for our financial infrastructure.
These developments call for a new type of finance graduate. The Duisenberg Honours Programme in Finance and Technology trains you to master traditional finance techniques in combination with developments in data science. Having graduated from the programme, you’ll have the ability to understand the data techniques, how they can be applied in the financial sector, and how they can transform businesses. While you won’t be a data science specialist, you’ll form a bridge between the programmer and the manager. You’ll understand the technicians, apply the techniques in the financial sector, and sell them to the outside world....
The Master in Big Data online will train you as a professional of BIG DATA, one of the most demanded professions in 2018 according to the Wanted of the Adecco Group, capa
Take your Master in Big Data online at UNIR
The Master in Big Data online will train you as a professional of BIG DATA, one of the most demanded professions in 2018 according to the Wanted of the Adecco Group , capable of designing and implementing systems that monitor a process, extract relevant information from it and communicate it eloquently and efficiently.
This master's degree in Visual Analytics and Big Data delves into the most cutting-edge technologies of Big Data and Machine Learning :
Data capture and storage: Management and data processing with MongoDB.Artificial Intelligence Techniques: clustering techniques and design of expert systems capable of inferring new knowledge.Engineering for the Massive Processing of Data (Machine Learning): Hadoop Tools and Data Analysis and text mining with R.Visualization tools: Google Charts, JQuery plug-ins, for visualizations and D3.js...
The Master in Data Management and Technological Innovation of OBS is designed to provide managers and professionals (Data Manager) the keys to the management of informati
Master in Data Management and Technological Innovation
The Master in Data Management and Technological Innovation of OBS is designed to provide managers and professionals (Data Manager) the keys to the management of information systems in an organization, with special attention to the Data Management environment and, more specifically, the Big Data.
This is a project to make the most of technology, against programs showing what the technology available allows Masters. Technology is a tool and service that should contribute to achieving strategic goals of the company.
Some of the sectors that can work are:
Investment banking and private
General Manufacturing and production
eCommerce and Social Media
Small and medium enterprises
Information technology companies
Multilateral financial institutions
Objectives of the Master in Management and Technological Innovation Data
This master has only one focus: to enable those who follow it to use the Machine Learning in R. Everything then orbits around the goal of allowing students to realize the
Learn to build and evaluate regression, classification and clustering models.
I'm Luca Naso, an astrophysicist who is passionate about data and technology (but also startups and running!). With this online master "Master Executive in Machine Learning and Data Analysis" I want to teach you how to enter the wonderful world of Machine Learning. In particular, I will guide you step by step in the Machine Learning theory as well as in its practical application with the programming language R.
Why choose this course?
This master has only one focus: to enable those who follow it to use the Machine Learning in R. Everything then orbits around the goal of allowing students to realize their models of Machine Learning independently, using R. To achieve this result are many tutorials have been inserted, where all the steps are performed one at a time. At the same time there are theoretical sessions that allow us to understand the principles behind the various algorithms or strategies....
The Master's Programme in Management & Data Science is geared towards students wanting to advance their skills in the data analysis of real-world phenomena. After com
The Master's Programme in Management & Data Science is geared towards students wanting to advance their skills in the data analysis of real-world phenomena. After completion of this programme, our graduates have the ability to analyze massive and complex data sets, design statistical models based on the latest in information technology. The programme is designed to meet the fast-growing demand for data scientists in business, public administration, and research.
CONTENTS AND IDEA
The rapid economic and technological transformations occurring in the global economy and the transition from an industrial to a knowledge-based economy confront corporate leaders with new challenges. The rising flood of data associated with the dynamic complexity of today’s business environment can no longer be handled by traditional methods and a manager’s personal experience alone. This degree programme delivers interdisciplinary learning and research opportunities, that allows students to gain application-oriented knowledge for practical management solutions. Through the integration of management, data analysis and information systems knowledge, students will be able to develop the latest in innovative solutions for managing information-driven organizations....
The Internet of Things (IoT) represents a new stage in the digital revolution, fully contributing to the construction of a digital society. Several sectors of the digital
The Internet of Things (IoT) represents a new stage in the digital revolution, fully contributing to the construction of a digital society. Several sectors of the digital society use or will use the internet of objects to improve deployment, exploitation and industrialization procedures. These include intelligent transport, smart grids, smart city, industry 4.0, and so on. The issues concerning the mastery of the technologies and processes around the internet of objects are enormous and require a very high level of expertise with cutting-edge skills in multidisciplinary areas.
Design tools for processing and analyzing large amounts of data from sensors;
Design and develop IoT applications and services adapted to industrial needs
Understand and design communication mechanisms adapted to the constraints of the sensors (energy consumption, lack of computing capacities)
Acquire dual competences technical courses in advanced fields (data exploitation, software development, communication networks in constrained environments, Machine Learning, sensor security) associated with courses in Innovation, Project Management, Entrepreneurship, etc.
The "Big Data" phenomenon is rooted in the field of data science and engineering, which aims at developing both computer and mathematical tools for data storage and proce
The "Big Data" phenomenon is rooted in the field of data science and engineering, which aims at developing both computer and mathematical tools for data storage and processing. An increasing volume of data is daily produced by modern-day industrial processes (in fields such as energy, intelligent transport systems, aviation industry and many others...), and fuelled by the rise of multimedia tools and the Internet of Things in our daily life.
Combining computer and statistical sciences to develop cutting-edge and fundamental tools to efficiently address applied issues related to data processing.
Learn how to develop methods, algorithms, and software able to extract value out of huge masses of heterogonous data with several dimensions.
Provide a cohesive blend of technical classes in data mining, software engineering, distributed systems coupled with fundamentals of Business, Innovation and Project Management to develop profiles which are highly valued by corporate recruiters.
Harness the power of data analytics to solve the practical problems of companies and organizations worldwide.
The sheer amount of data that is being produced each and every day is redefining our world: according to IBM, 90 percent of all current data has been created in the last two years alone. The collection and evaluation of this data can transform behaviors, business models, markets and every imaginable organizational structure. The Data Science Program at Dalarna University prepares you to be at the center of this transformation working within private companies, public organizations, and research institutions.
Our program provides you with both hands-on training in the collection and interpretation of data as well as broad knowledge and an understanding of how data analysis is used for decision-making within organizations. You will gain a unique cross-disciplinary skill-set that will prepare you for jobs both in the present day and in the future....
The Executive Master in Big Data Science (MEBDS) was born as a response to this new reality: it offers a technical program and, at the same time, very practical: it has a
The digital revolution that emerges from Big Data implies exciting challenges and opportunities for companies and organizations. Consequently, the labor market demands more and more specialized professionals in this field.
The Executive Master in Big Data Science (MEBDS) was born as a response to this new reality: it offers a technical program and, at the same time, very practical: it has a multidisciplinary faculty of professors and academics from the Universidad de Navarra , experts in the Big Data area of large multinational companies of high prestige. The purpose is to seek the scientific rigor proper to the University, enriching it with the experience of professionals and real business cases in various fields....
Training in the master's program will allow you to learn: on the basis of system analysis, carry out a formalization of the subject area and an assessment of the complexi
Training in the master's program will allow you to learn: on the basis of system analysis, carry out a formalization of the subject area and an assessment of the complexity of the designed and implemented data management information systems; design, develop information systems of applied nature using modern information technology tools, using the methods of formalized description of system models, methods of simulation and statistical modeling, data mining methods, etc; implement and maintain applied information systems in enterprises and institutions of various profiles and activities.
Objectives of the program:
The purpose of the educational program of higher education in the direction of training 09.04.02 "Information Systems and Technologies" is to train the graduate in accordance with the level of development of information systems and technologies, the formation of a technically competent, socially responsible person....