The Data Science study program is a unique master’s degree program in Serbia, on a par with the best quality programs in Europe and the world. This program is thought in
People specializing in data analysis and conversion (data scientists) are the most sought-after experts in the companies such as Microsoft, Nordeus and Seven Bridges Genomics, which has made this profession the most promising one of the 21st century, with an estimated average salary of $ 116,840. Data science brings in the most popular and cutting-edge programming languages such as Python, R, MongoDB, Spark, and Hadoop.
The Data Science study program is a unique master’s degree program in Serbia, on a par with the best quality programs in Europe and the world. This program is thought in the Serbian and English Language. The program instructs candidates to design intelligent mobile and web applications, based on extremely large data sets (Big Data). Lecturers whose expertise and publications place them among the most promising young scientists in the region, use their immense enthusiasm to help candidates achieve the highest academic goals and adopt hands-on required by the highest paying jobs in the country and abroad....
Our master programme will provide you with the key competencies that you will need to develop next-generation information systems used to describe and manage data, discov
Our master programme will provide you with the key competencies that you will need to develop next-generation information systems used to describe and manage data, discover new facts and relations in the data, make predictions, and give advice to decision makers.
We live in a digital society. Human and automated activities continuously generate data, storing them in digital format. These data come from everywhere: enterprise information systems, social media, wearable equipment, and many more.
Data are like crude oil: unrefined, they are useless.
In our programme, we teach you how to become a computational data scientist, i.e. a computer scientist specialised in the development of next-generation information systems....
The MSc Data Science program is designed for those who desire to deepen their comprehension of all aspects of the data sciences. Applicants could be graduates from other
This program is taught in ENGLISH. The data science is a new frontier of human knowledge and a new domain of discovery. Data scientists have the analytical and programming skills needed to extract valuable knowledge out of data. The burgeoning technology sector is quickly becoming the epicenter for data science.
The MSc program is designed for those who desire to deepen their comprehension of all aspects of the data science. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a BSc in data science.
Students begin the program with a foundational knowledge of programming and mathematics, including data structures and algorithms, statistics and machine learning. During the first year, their knowledge of mathematics, programming and data analysis will be significantly extended. The program also offers the opportunity to obtain key soft skills for the professional world including technical project management, writing and presenting. Finally, students are expected to attend a substantial amount of talks and workshops offered by the university, as well as working on the Capstone project....
Health Economics and Big Data Analytics - HEBDA is a unique full-time Master’s dual studies program and a practical profile, conducted entirely in English. Health Economi
THE PROGRAM IS CO-FINANCED BY THE EUROPEAN UNION UNDER THE EUROPEAN SOCIAL FUND
Health Economics and Big Data Analytics - HEBDA is a unique full-time Master’s dual studies program and a practical profile, conducted entirely in English.
Health Economics is a new but dynamically developing science. It is the discipline of economics applied to the topic of health care. Health Economics provides a set of methods and analytical approaches to study the effectiveness, efficiency, and value of health technologies with the ultimate objective of optimal allocation of healthcare resources. In the upcoming years, it is anticipated that there will be a large demand for specialists from this particular area of economics....
The Master of Data Science program consists of 60 ECTS credits coursework with a final project. You can complete 9 modules in 12 to 15 months and earn your master’s degre
The Master of Data Science program consists of 60 ECTS credits coursework with a final project. You can complete 9 modules in 12 to 15 months and earn your master’s degree in Data Science. You can learn more about European Leadership Univesity and Data Science Master's Program here.
You are offered both digital and face-to-face learning experience throughout the programme. Comprehensive digital course materials, projects and e-libraries are provided through our online platform while you can be part of a thriving on-campus experience involving workshops, hackathons, action learning groups and mentoring.
Our degrees are fully recognised in 50 countries in European Higher Education Area (EHEA). We are committed to obtaining further international accreditation. In this regard, we are in the process of acquiring an NVAO & ABET accreditations for the class of 2019....
Get ready for shaping the future energy sector!
The energy sector is facing huge challenges: Growing energy demand, more distributed and renewable energy sources, less ce
Power and Data Engineering (PDE)
Energy Conversion and Management
Get ready for shaping the future energy sector!
The energy sector is facing huge challenges:
Growing energy demand, more distributed and renewable energy sources, less centralized and fossil sources.
The energy sector is becoming more complex:
Liberalized energy markets with more stakeholders, more systems and new technologies to manage and to interconnect.
The solution - Power & Data Engineering:
Managing the growing complexity needs a combination of profound power system understanding and modern IT and data engineering methods – exactly what you obtain by studying M.Sc. Power and Data Engineering....
Through this program, students will acquire the scientific and technological skills towards a data scientist profile within a computer science degree.
Through this program, students will acquire the scientific and technological skills towards a data scientist profile within a computer science degree. With case studies and an internship, they will also gain methodological and practical experience in conducting a high-level innovative process in the field of data science.
Data science is a major scientific and technological area of computer sciences, founded on the fields of data analysis, machine learning, and databases. It leads to produce methods and technologies to enable data-driven progress in these social, scientific and economic activities.
develop core scientific competencies, practical and methodological skills on data usage
understand how data science applies to industry and be aware of its social, economic and scientific impact
conduct a research or development project in the data analysis domain
Expert's objective in Big Analytics and Metrics is to design, develop and pilot innovative solutions to address the complexity of managing and analyzing these large amoun
BIG DATA: BOOST YOUR CAREER WITH MANAGEMENT AND ANALYSIS OF DIGITAL DATA!
In the era of Big Data, it is essential for companies and organizations make sense of the collected volumes of data and build support for decision-making tools.
The objective of theExpert Big Analytics and Metrics is to design, develop and pilot innovative solutions to resolve the complexity of managing and analyzing these large amounts of data. It uses computer skills, mathematics, statistics, as well as human and social sciences. The central position of the expert Big Data allows him tosupport the company in its technological change and consolidate the strategic positioning of the latter. In everyday life, grad...
The Economics, Data Analytics and Corporate Finance program equips students with the quantitative methodology and real-world experience required for a thorough economic t
Master Economics, Data Analytics and Corporate Finance
At a glance
Diploma: Master’s Degree
Type: Industry-oriented degree
Number of ECTS credits: 140
Start: September 2019
Duration: 2 years
Tuition Fees: €12,000/year
Based on École Polytechnique’s world-class record of excellence in the applied sciences, the Economics, Data Analytics, and Corporate Finance Graduate Degree offers you the unique opportunity to gain a complete, economics-based strategic understanding of new and transforming markets in the 21st-century industry.
Operating in a world of constant flux
With technology permeating every sector of the economy, the increasingly frantic pace of innovation can result in disruption at any level of industry. Corporate giants can suddenly find themselves on the decline, displaced by the meteoric rise of disruptive newcomers – see Uber and Airbnb’s similar impacts in their shake-up of the transport and hospitality sectors....
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....
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.
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.
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....
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 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