Students who wish to further their knowledge in a specific field of interest may want to look into obtaining a master’s degree. Employers often look favorably on master degree holders, as they often have a better education and more experience than those with lower-level degrees.
What is a Master in Data Science? People who want to collect, process and distribute data from extraordinarily large sets of information may want to obtain a Master in Data Science. Program courses focus on software structure, life cycles and methodologies. In addition to learning about networking and database systems, students understand how copyrights, privacy policies and quality assurance work. Obtaining a Master in Data Science can offer more career opportunities for scholars who have an undergraduate degree.
This advanced degree may lead to higher salaries, or provide a stepping stone for people who wish to earn a doctorate degree. University education can also teach students essential skills, such as working with a team, proper communication and good organization. These qualities can be used to provide a strong work ethic or may help to improve a person’s everyday life.
The cost of obtaining a master’s degree may vary depending on which educational institute the student decides to attend and what geographic region it is in. In some cases, schools offer financial assistance to help students in funding their education.
Scholars who graduate with a Master in Data Science may be able to find careers in a wide range of industries, including computer software, internet, biotechnology, research and pharmaceuticals. These professionals are able to pull crucial information from large data sets that ultimately help the field they are working in. Data science graduates are employed by large corporations that want to further their client base and run successful companies. These professionals may find lucrative positions in top software companies or work at a university.
Some universities offer online programs to simplify the academic process for some students. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.
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....
As data accumulates across broad sectors of industry and academia we see a need for data scientists equipped with skills to assist with data-based decision making. For ex
As data accumulates across broad sectors of industry and academia we see a need for data scientists equipped with skills to assist with data-based decision making. For example, businesses are using data to determine insurance coverage, to make marketing decisions, to offer recommendations to customers, and to provide more effective health care. A famous example from academia is the determination of the Higgs Boson from simulated data with machine learning methods.
We offer a Masters in Data Science degree that covers basic and advanced essentials in statistical inference, machine learning, data visualization, data mining, and big data methods, all of which are key for a trained data scientist. In order to be selected for our program, we require a basic background in calculus, linear algebra, probability, computer programming, data structures, and algorithms. Our program is spread across 30 credits and contains projects involving big datasets, classification methods, variable selection, and deep learning to name a few....
Taking advantage of all the data we generate is a challenge for the business world and has become one of the main challenges for large companies. There are few Big Data p
Call: October 25 Hours: Friday from 4:00 p.m. to 9:00 p.m. and Saturdays from 09:00 to 14:00. Face-to-face modality Place: Calle Serrano 213, Madrid
Taking advantage of all the data we generate is a challenge for the business world and has become one of the main challenges for large companies.
There are few Big Data professionals capable of implementing information structures to store, process and exploit data. It is your opportunity to position yourself as one of the most demanded and best paid professionals.
MBIT School is the Technical School of Reference in Data Science, Big Data and Artificial Intelligence.
This master enables you to:
Know in depth the different Big Data architectures to be able to develop real projects.Store, process and analyze large volumes of data.Management of tools necessary for the processing of massive data such as Map Reduce, Sqoop, Flume, Hive, Impala and Elastic Search.Know and manage Big Data solutions in Cloud with the main providers: AWS, Google, Microsoft.Learn to handle the most used languages for advanced data analysis: R and Python.Develop advanced dashboards with visualization tools such as Power BI, CARTO and those based on specialized R and Python libraries.Who is it for?...
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....
Stevens Institute of Technology - Graduate Studies
Learn the theoretical knowledge and practical skills necessary to analyze big data for functional application in business and technology.
Learn the theoretical knowledge and practical skills necessary to analyze big data for functional application in business and technology.
Demand for data scientists who can glean insights from the wealth of information made available through modern technologies to aid in informed decision-making is on the rise. The data science master’s program at Stevens instills the theoretical knowledge and practical skills required for dealing with the contemporary collection, exploration, analysis, and modeling of data along with the related challenges pertaining to inference and prediction.
This interdisciplinary program prepares students for careers in fintech, business intelligence and analytics, academia, and database management, as well as government positions requiring strong skills in data analysis. Students will analyze complex data, including large scale databases, and apply state-of-the-art modeling and visualization techniques. They will participate in simulations of cyber attacks and create effective defense strategies, as well as study, in depth, the algorithms and optimization schemes underlying the latest business analytics methods....
MSDE is a unique opportunity for students to become highly qualified, software and data engineers able to effectively deal with the increasing complexity of modern softwa
Software plays a pivotal role in almost all aspects of our life, including transportation, communication, economy, and healthcare.
We put trust in software to accomplish complex and vital tasks for us, such as managing our finances, sharing our family and friends’ memories, diagnosing diseases, flying airplanes or driving cars. The complexity of these tasks, while becoming transparent to us, does not go away: It is distilled into the software our civilization depends on. Indeed, we are already in the era of ultra-large-scale software systems, composed by millions of code components interacting among them. In such a scenario, the software cannot be understood without its data and data becomes valuable only thanks to the software analyzing it. In other words, software engineering aims at managing the complexity of software, keeping it under control. Data engineering focuses instead on how to collect, store, and process huge amounts of data, that can be analyzed to gather insights and support decision-making activities. The master features courses taught by world’s leading researchers of the Software Institute at the USI Faculty of Informatics....
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....
We live in a data-driven world that’s generating huge volumes of information at ever-increasing rates, via social media, financial transactions, telecommunications, and e
We live in a data-driven world that’s generating huge volumes of information at ever-increasing rates, via social media, financial transactions, telecommunications, and even scientific discovery.
The emerging interdisciplinary field of data science combines areas of computer science with mathematical statistics and domain expertise to manage and analyze this data.
Incorporating statistical methods, data science puts a greater emphasis on the specialized computational skills required to manage and analyze big data from sources such as social media, sensors, mobile and transaction data.
Data scientists develop the capability to derive insight and opportunity from the vast repositories of data that many organizations collect. They help organizations in all sectors of the economy to make sense of these very large volumes of data; enabling businesses to gain a competitive edge, governments to deliver more targeted services, and research teams make new discoveries....
Gain the skills to tackle big data challenges and compete in the digital realm.
A rapidly expanding field that shows no sign of slowing. Big data and analytics now drive and inform strategic decision making and innovation whether it is in relation to engineering, finance, health or other professional areas. The challenge for organizations around the world is how to harness ever-increasing volumes of data as an asset.
The Master of Data Science provides students with the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organization achieves its objectives, to deal effectively with large data management tasks, to master the statistical and machine learning foundations on which data analytics is built, and to evaluate and communicate the effectiveness of new technologies....
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....
Develop data analytics skills that will future focus your career with a degree that turns data into insight and intelligence.
Be at the cutting edge of a booming new field of expertise that can be applied across industries.
Translate data into insight and intelligence to be able to drive change and make key decisions.
Solve domain-relevant problems by synthesizing knowledge from mathematics, statistics, computer science, information systems, and business process management.
Learn from expert academics and leading researchers who apply data science and data analytics to a range of real-world challenges, and who have world-wide industry connections.
Why choose this course?
Be future-focused and stay ahead of the curve. Drive real change and impact key decisions by learning how to make sense of the volume, variety, and velocity of data we collect as a society....
The Master aims to prepare professionals with a high command of the competencies associated with information technologies, experts in cutting-edge technologies in the mar
The MASTER in Data Science is the first Master in Aragon that unites the technical knowledge and business vision necessary to succeed in the area of greatest impact and growth in the present and in the coming years: the science of data.
The MiDS is called to be the Master of reference in Aragon, and future nationally and internationally, by the level of its teachers, the requirement to students and the methodology of the case study used. The MiDS has LUCA AI Powered Decisions as an academic and initial technology partner.
The MiDS is a Master's Degree taught by CESTE that is based on 3 fundamental principles:
Teaching Quality: The first level teachers, who are absolutely attached to the business reality in different industries, ensure maximum use by the students, with a 100% added value content focused on practical cases.Actuality Via Companies: The structure of the Master will allow working from the first day in real practical cases that will allow the student to develop an experience in all areas related to Data Science.Direct Access to the Sector: The MiDS ensures professional practices in the industry, as well as permanent access to the sector through the different technological and business partners that make up the list of MiDS partners: Telefónica LUCA, Everis, PiperLab, AJE Aragón ... among many others.Who is oriented...
Do you want to help shape the digital future, maybe even make an important contribution to society? Then the Master’s program in Data Science and Artificial Intelligence
Masters in Data Science. Unique Combination
The Saarland Informatics Campus (SIC) at Saarland University is one of the top European locations for studying computer science and starting a scientific career. Along with the professors in Saarland University’s Department of Computer Science and Department of Language Science and Technology, scientists from the CISPA – Helmholtz Center for Information Security, the German Research Center for Artificial Intelligence (DFKI), the Center for Bioinformatics Saar, the Max Planck Institute for Informatics and the Max Planck Institute for Software Systems teach in the international Data Science and Artificial Intelligence Masterprogram.
“The Department of Computer Science is one of the four best in Germany.” CHE Ranking...
Our master program is a unique combination of solid mathematical background and computer science applications. Not only will you learn how to use tools, such as deep neur
Our master program is a unique combination of solid mathematical background and computer science applications. Not only will you learn how to use tools, such as deep neural networks, but you will gain a profound understanding of why they work.
Our staff is specialists from different subfields of data science: statistics, machine learning, optimization, analysis of big data, processing of natural language. We have both solid academic experience but we also advise companies how data science can be used to increase their profits. We offer small groups (15 people enrolled yearly) and individual approach to each student.
Only three courses (Machine Learning, Numerical Optimization, Statistical Learning) are obligatory. They will give you the necessary foundations for pursuing knowledge in more advanced courses. As a student of our department, you could also broaden your horizons taking supplementary courses, e.g., on algorithms or optimization. Don’t worry: we’ll advise you what courses to study next!...
University of Economics Prague - Faculty of Informatics and Statistics
The aim of this master programmeis to provide students with knowledge and abilities in the area of economic data analysis. This are covers many topics related to data acq
The former Master programmes Quantitative Economic Analysis (QEA) and Master in Official Statistics (MOS) have been merged in one: Economic Data Analysis (EDA).
The aim of this master programme is to provide students with knowledge and abilities in the area of economic data analysis. This covers many topics related to data acquisition, data processing, data dissemination and communication, data analysis including advanced statistical and econometric modelling and working with specialised statistical and econometric software as well.
EDA has two specializations: Master in Official Statistics (MOS) and Data Analysis and Modelling (DAM), EDA students choose their specialization during their first semester....