Find MSc Programs in Technology Studies 2019 in Amsterdam in Netherlands
Master of Science (MSc): These programs are postgraduate studies for people who have recently finished their undergraduate studies and want to improve their knowledge on a profound and more scientific level.
One of the greatest aspects of technology is that when it is embedded in machines and devices, most of the time the individual operating the machine or device does not need to understand the specifics of how the technology works. For example, someone using a computer does not need to understand the mechanics of the hard drive to benefit from using it.
The capital city of Netherlands, Amsterdam has well known universities such as the University of Amsterdam and Universiteitsbibliotheek Amsterdam. These educational institutions tend to provide diversified graduate and post graduate degree programs, and they have top notch Research and Development facilities.
Request Information Master of Science Programs in Technology Studies in Amsterdam in Netherlands 2019
The Data Science & Business Analytics track of the Master’s in Econometrics programme is designed with the help of leading Big Data companies to connect one of the mo
The Data Science & Business Analytics track of the Master’s in Econometrics programme is designed with the help of leading Big Data companies to connect one of the most promising developments in today's business with the econometrics curriculum. Unravel and interpret correlations among the petabytes of complex data generated every day by social media and the internet in general.
Prepare for a career as a Big Data specialist in the economics and business environment;
Acquire a deep insight into developments that are revolutionising today's economy;
Become an expert in a new field that taps into the surge of consumer data.
One Master’s programme, four tracks
The Master’s in Econometrics offers you the option to choose one of four top-level academic specialisation tracks:...
The Master’s programme Security and Network Engineering (SNE, formerly System and Netwerk Engineering) is a time intensive one year programme at the University of Amsterd
The Master’s programme Security and Network Engineering (SNE, formerly System and Netwerk Engineering) is a time intensive one year programme at the University of Amsterdam (UvA). It allows students to specialise in Security and Network Engineering on a more theoretical level. With security as a focal point in the programme for the last thirteen years, it prepares students for realistic situations outside of academics.
Security and network engineers
In a world that increasingly uses and depends on the technical ICT infrastructure, and where (cyber)security is a rising issue, security and network engineers are indispensable in the efficient and effective functioning and innovation of this infrastructure. Their expertise in technical details and understanding of the goals and needs of organisations and society ensure the correct management of the infrastructure. ...
Understanding data about human behaviour is an important and valuable skill in today's society. Companies, public institutions and governmental organizations — they all u
Understanding data about human behaviour is an important and valuable skill in today's society. Companies, public institutions and governmental organizations — they all use the continuous stream of big data to describe and predict human behaviour.
Behavioural Data Science
The police use data to predict the risk of burglary by area and week of the year, insurance companies adjust their prices based on client data, and schools adjust educational programmes based on what is known about student progress.
Leveraging the full potential of these massive amounts of behavioural data towards these goals greatly benefits from a thorough understanding of data science techniques and human behaviour modelling. The master's track Behavioural Data Science aims to combine these two. The programme assumes knowledge of psychology, research methodology, and applied statistics at an undergraduate level, and continues with training on advanced (big) data techniques, academic skills, as well as practical and professional skills. ...
The Information Systems (IS) track in the Master's programme Information Studies is designed to give you the tools to analyse and create systems for the supply, storage a
The Information Systems (IS) track in the Master's programme Information Studies is designed to give you the tools to analyse and create systems for the supply, storage and communication of information. IS is based on intelligent communication between humans and information systems.
Information Systems is for you if:
you are interested in the ways people interact with (new) technology and media, and how they are supported, hampered and influenced by them
you want to analyse systems for the supply, storage and communication of information
you want to make connections between the people responsible for developing technological solutions and corporate management
you want to translate user demands into innovative solutions
Information studies is a broad and interdisciplinary field, primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval and dissem
Information studies is a broad and interdisciplinary field, primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval and dissemination of information. It examines the interaction between people, organisations and any existing information systems, with the aim of creating, replacing, improving or understanding information systems.
Information studies tackles systemic problems first rather than individual pieces of technology within that system: it focuses on understanding information problems from the perspective of the stakeholders involved, and then applying technologies as needed. Not only aspects of computer science are incorporated, but also aspects of research fields like cognitive science, commerce, communications, management, philosophy, public policy, and the social sciences. ...
In a data-rich world, data science is gaining a central position with an increasing potential value for businesses, science and society. Data scientists are needed to giv
In a data-rich world, data science is gaining a central position with an increasing potential value for businesses, science and society. Data scientists are needed to give meaning to the sea of data that surrounds us. With the innovative and interdisciplinary Data Science track in the Information Studies Master's Programme, the UvA makes it possible for you to become a skilful expert in this field.
This Master’s programme has been developed in collaboration with Amsterdam Data Science (ADS). Courses are taught by an international team of top scientists and experts from all collaborating institutions.
During this one-year Master’s programme in Data Science you will:
delve into the main theories and tools used in the field of data science, and develop an integrated view of the latest developments and future possibilities of Data Science in society;
learn how to translate scientific, societal, and business challenges into data-related questions, identify solutions that are methodologically sound, while taking the ethical and legal aspects into account, communicate results and make well-founded decisions;
work together with an international group of students from a wide variety of educational backgrounds;
conduct and evaluate data science projects in a broad range of domains.
Is Data Science at the UvA the study for me?
Artificial Intelligence (AI) is a field that develops intelligent algorithms and machines. Examples include: self-driving cars, smart cameras, surveillance systems, robot
Artificial Intelligence (AI) is a field that develops intelligent algorithms and machines. Examples include self-driving cars, smart cameras, surveillance systems, robotic manufacturing, machine translations, internet searches, and product recommendations. Modern AI often involves self-learning systems that are trained on massive amounts of data ("Big Data"), and/or interacting intelligent agents that perform distributed reasoning and computation. AI connects sensors with algorithms and human-computer interfaces and extends itself into large networks of devices. AI has found numerous applications in industry, government and society, and is one of the driving forces of today's economy.
You already know how to code. And over the years you've gained the necessary theoretical and practical experience. But you want more. You want to take your qualities as a
You already know how to code. And over the years you've gained the necessary theoretical and practical experience. But you want more. You want to take your qualities as a software engineer to the next level. To work with other software engineers on realistic, complicated issues. To solve isolated technical problems, but also to operate within the whole dynamic and extensive field that software engineering is. To not just know how, but to understand why.
Is Software Engineering at the UvA the study for me?
It is, if you:
have a solid technological basis and a fundamental understanding of computer science and software
want to study software engineering on an academic level
are curious and like being challenged by complex software issues
want to learn how to make thorough strategic decisions
want to learn how to collaborate ánd negotiate effectively
are critical, but also innovative and open for discussion
What does Software Engineering at the UvA have to offer me?
In the Master's programme Computer Science you are taught by scientists who have a reputation for world-class research on computer systems, software, networking and onlin
In the Master's programme Computer Science you are taught by scientists who have a reputation for world-class research on computer systems, software, networking and online systems. As a joint degree programme of UvA and VU, you benefit from the expertise of both research groups at both institutions and their international contacts.
Why study Computer Science in Amsterdam?
You are interested in the techniques behind computer systems, programmes, and the Internet.
You have the ambition to get to the core of a scientific computational problem and are eager to discuss this at the highest level with your peers.
You want, for example, to learn what is technically feasible on the Internet, now and in the future, or learn to design intelligent computer programmes.
You want to become a well-trained researcher by taking part in research with renowned scientists from both the VU Amsterdam and the University of Amsterdam.
What can you expect from the Computer Science programme in Amsterdam?
State-of-the-art teaching facilities and computing infrastructures;
education from internationally renowned scientists;
interactive teaching methods, individual supervision, and research orientation.
The Computer Science study programme
Would you like to confront a tornado in virtual reality and predict its path of destruction? Or understand the behaviour of financial markets? What if you could simulate
In the Master's programme Computational Science you learn to develop computational models based on observations and data from physical, social, earth, economic and life sciences. In this joint degree of UvA and VU you can specialise in topics offered by both universities.
Would you like to confront a tornado in virtual reality and predict its path of destruction? Or understand the behaviour of financial markets? What if you could simulate the outcome of a surgical procedure before it is used on a patient? Or predict how a crowd would behave in the event of a disaster?
What is Computational Science?
Computational Science seeks to explain the complex world we live in using technological simulations. By collecting data and creating computer models, computational scientists can make predictions on varying problems such as how to influence the flow of traffic, how an epidemic will spread or the probability of individuals in society becoming addicted to drugs. The curriculum relies heavily on algorithmic-driven procedures (step-by-step procedure for solving a problem in a limited number of steps) but also involves lots of mathematics and logic. Students will learn to apply this knowledge to different research areas in the natural sciences....