Masters Programs in Data Science

Compare 26 Masters Programs in Data Science

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.

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Master in Data Science

Bologna Business School
Campus Full time 12 months December 2017 Italy Bologna

The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. [+]

Masters in Data Science. The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. The data business is becoming a key sector for the European economy, the development of products and services based on data and the analysis of data collected in companies, public entities or that are available on social networks. The aim being to obtain operational indications and to identify new business opportunities. Big Data is a big challenge of today’s world, but we are training professionals to understand and create value from this complex information. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data. Data Scientist is defined by the Economist as “the most interesting job of the twenty-first century, combining the skills of an IT technician, statistician and storyteller to extract the golden nuggets hidden under the mountains of data.” The Master in Data Science offers 3 different types of skills: solid computer training, an understanding of the technological aspects and knowledge of business dynamics. This Master creates professionals with across-the-board skills who are able to integrate with the company’s management. The program concludes with a Field Laboratory Work and a company internship. THE MASTER IS AN INVESTMENT. THE HONOR LOAN IS THE... [-]

Master of Data Science

Harbour.Space
Campus Full time 2 years Open Enrollment Spain Barcelona

The MSc Data Science programme is designed for those who desire to deepen their comprehension of all aspects of the data sciences. 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. [+]

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 epicentre for data science. The MSc programme 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. PROGRAM STRUCTURE Year 1 Students begin the programme with 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 programme 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. Modules Combinatorics And Graphs Big Data Analysis/Machine Learning - 2 Object-Oriented Programming (C++) R Data Structures and Algorithms Convex Optimization Databases Leadership and Group Dynamics Theory of Probability and Statistics Technical Writing and Presenting Practical Unix Сomplexity Theory Introduction to Interaction Design Technical Project Management Discrete Optimization Nonlinear Optimization Master's Machine Learning Statistical Data Analysis Python Capstone Project - 1 Networks Seminars & Workshops - 1 Java Programming... [-]

MSc in Software and Data Engineering (MSDE)

USI Università della Svizzera italiana
Campus Full time 4 semesters September 2017 Switzerland Lugano

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 software systems and with the gigantic amount of data they generate and manipulate. [+]

Masters in Data Science. 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. These systems manipulate and generate an unprecedented amount of data. In such a scenario, software cannot be understood without its data and data becomes valuable only thanks to the software analyzing it. Why enroll in the Master in Software and Data Engineering (MSDE) at USI? Top qualification 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 software systems and with the gigantic amount of data they generate and manipulate. Renowned professors Courses are taught by internationally renowned academics. Since it opened in 2004, the USI Faculty of Informatics has been climbing to the top positions in the csrankings.org lineup for European universities for what concerns Software Engineering research. It now ranks 2nd in Europe, and 15th worldwide. Importance of data and software Nowadays software cannot be understood without its data and data becomes valuable only thanks to the software analyzing it. This is why only an integrated study program in both software and data engineering represents cutting-edge knowledge and skills relevant for the development, maintenance, and evolution of next-generation ultra-large software systems living in a world of data. Small classes We... [-]

Mastère Spécialisé® Expert In Big Analytics And Metrics

University of Technology Troyes - UTT
Campus Full time September 2017 France Troyes

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 amounts of data. It uses computer skills, mathematics, statistics, as well as human and social sciences. [+]

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, graduates of this Master Spécialisé® Big Data can lead a team of data scientists responsible for enhancing corporate data, provide advisory mission Development processes or applications related to the exploration of large amounts of data, or accompany, as "data strategist" large groups, SMEs, government services and communities in control and governance of their data. This training Bac +6 is accredited by the Conférence des Grandes Ecoles (CGE) and is intended for engineers (newly graduates or post for a few years) and business executives from all business sectors. They trust us "(...) The project was considered relevant and perfectly used in line with our Digital strategy focused on offering big data and Atos what makes an innovative full. Therefore, this diploma course is an opportunity to support our business ambitions and respond firstly to our needs with experts jobs Big Data or... [-]

Master's Degree In Engineering Sciences (MCI)

Tecnológico de Monterrey
Campus Full time 4 semesters July 2018 Mexico Monterrey Mexico City + 1 more

The overall objective of this program is to train professionals, agents of change for industrial and academic sectors that are capable of doing applied research, technology development and technology transfer in the areas of engineering sciences. [+]

Masters in Data Science. Target The overall objective of this program is to train professionals, agents of change for industrial and academic sectors that are capable of doing applied research, technology development and technology transfer in the areas of engineering sciences. Addressed to Professionals from areas of engineering and exact sciences interested in conducting high-impact research to contribute to the knowledge of any of the specialty areas of Engineering Sciences. Students entering this program should have excellent academic background, vocation in knowledge generation, fluent communication, working professionally under strict ethical standards that are open to new ways of assimilation of knowledge and professional practice and they are intellectually curious. Study plan First semester CS4015 Computer Applications F4005 mathematical physics modeling GI5000 Methods Research and Innovation Course OP4000 stamp Second semester GI5025 Thesis I Science IN4027 data and statistical inference OP5042 Elective I Third semester GI5026 Thesis II OP5043 Elective II OP5044 Elective III Fourth semester GI5027 Thesis III OP5045 Elective IV OP5046 Elective V graduates During the duration of the program students will have the opportunity not only to interact with distinguished professors in the research program and having extensive preparation in research, but also to interact with students from different lines and students from other programs ITESM graduate. This wealth of interactions is one of the great strengths of this master's program. This program is designed to give students the necessary preparation and to make it a leading researcher in Engineering Science skills. Therefore, the student to leave the... [-]

Master in Statistical Learning Theory

Higher School of Economics
Campus Full time 2 years September 2017 Russia Moscow

This programme stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology. Leading experts at HSE and Skoltech jointly provide instruction in this unique research-driven programme. [+]

Programme Overview This programme stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology. Leading experts at HSE and Skoltech jointly provide instruction in this unique research-driven programme. Students participate in one or more working groups (research seminars), where they determine focus areas for an initial survey report and then solve challenges at the intersection of cutting-edge research and technology in statistical learning theory. These seminars are built on teamwork, as the tasks undertaken are so complex that they can’t be solved by one person alone. Students learn how to effectively collaborate, bringing together their diverse collective skills, competencies, and experiences to determine successful solutions for complicated issues. Programme courses are taught by leading HSE experts, including globally renowned scholars such as Dr. Yurii Nesterov, Dr. Denis Belomestny, Dr. Dmitry Vetrov, Dr. Andrei Sobolevski, Dr. Alexey Naumov, and Dr. Quentin Paris. Lectures are also delivered by Skoltech professors including Dr. Ivan Oseledets, Dr. Viktor Lempitsky, Dr. Evgeny Burnaev, and Dr. Yury Maximov. This team is rather young, but its members have already made significant research achievements. The programme actively cooperates with the Russian Academy of Sciences Institute for Information Transmission Problems, as well as with relevant faculties at Moscow State University and the Moscow Institute of Physics and Technology. Graduates go on to work for major Russian and international companies and... [-]

Master in Data Science for Public Policy

Georgetown University - McCourt School of Public Policy
Campus Full time 2 years September 2017 USA Washington DC

The Master in Data Science for Public Policy (MDSPP) is a joint degree offered by Georgetown’s McCourt School of Public Policy and Georgetown’s Graduate Analytics program combining the historic strengths of McCourt’s public policy analysis curriculum with the cutting-edge computational, mathematical, statistical methods training of Georgetown’s Analytics program. [+]

Masters in Data Science. An advanced degree for recent college graduates and professionals who are interested in developing technical data skills for public sector work. From our smartphones and our credit cards; to our tweets and our cars - data are everywhere and in everything. Even in power lines, airports and the roads we drive on, data exist in places that we wouldn’t even think of. The smart and intentional application of these data could allow us to make better public policy decisions, find patterns, and more effectively deliver critical services like healthcare, education and national security. In governments around the world and in the nonprofit and private sectors, the demand for data analysts, scientists, and data savvy managers is increasing quickly. The Master in Data Science for Public Policy (MDSPP) is a joint degree offered by Georgetown’s McCourt School of Public Policy and Georgetown’s Graduate Analytics program combining the historic strengths of McCourt’s public policy analysis curriculum with the cutting-edge computational, mathematical, statistical methods training of Georgetown’s Analytics program. This innovative, blended curriculum allows graduates to be highly valuable across sectors in the US and around the globe. The MDSPP provides a unique curriculum at the intersection of data science and quantitative public policy analysis, equipping graduates with cutting-edge computational, analytical, and leadership skills. The MDSPP is an advanced degree for college graduates and professionals with some background in statistics, economics, mathematics, or computer science who are interested in developing technical data skills for public sector work. The MDSPP... [-]

Master in Enterprise Application Development and Architectural Design (in conjunction with Haulmont)

Samara National Research University
Campus Full time 2 years September 2017 Russia Samara

The master’s degree program Enterprise Application Development and Architectural Design is implemented in conjunction with Haulmont – a leading British IT firm, specializing in the professional production of custom software, as well as consulting in the area of information technologies. [+]

The master’s degree program Enterprise Application Development and Architectural Design is implemented in conjunction with Haulmont – a leading British IT firm, specializing in the professional production of custom software, as well as consulting in the area of information technologies. The program’s study plan offers a balanced combination of the mastery of theoretical knowledge and the practical skills involved in the field of the development of corporate information systems, data analysis and software management. Special emphasis is placed on cutting-edge programming and data-analysis technologies, as well as on mastering the methods of organizing and managing projects involving software development. A special course is devoted to Data Mining and Big Data using the capabilities offered by supercomputers. An important element of the program is working with English-language study materials, as is studying business practices in the English-speaking environment typically found at international IT companies. The targeted nature of the program focuses on career opportunities – Haulmont offers the preferential recruitment of program graduates on a competitive basis. The high demand for specialists in the area of corporate IT-system development and data analysis on the international IT market allows program graduates to build an exciting career at leading Russian and foreign IT companies. Brief characterisation of the programme The master’s degree program is implemented in conjunction with Haulmont – a leading British IT firm, specializing in the professional production of custom software, as well as consulting in the area of information technologies. The program is aimed at the training of highly-qualified specialists... [-]

Master Management & Data Science

Leuphana University of Luneburg
Campus Full time Part time 4 - 8 semesters October 2017 Germany Lüneburg + 1 more

The Masters 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 program our graduates have the ability [+]

Masters in Data Science. The Master's Program 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 program our graduates have the ability to analyze massive and complex data sets, design statistical models based on the latest in information technology. The program 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 program 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. PROGRAM STRUCTURE During the first semester, students become experts in extracting knowledge from data. They acquire a foundation in mathematics, skills in the use of data analysis tools and an understanding of the data economics. The second semester includes modules in storage and mining of massive datasets, probabilistic modeling, analyzing networks as well as forecasting and simulation. In the third semester, students undertake a challenging research project, working in teams to address questions... [-]

Master in Computer Science and Technology

Technical University of Ostrava
Campus Full time 2 years September 2017 Czech Republic Ostrava

The Master’s course of Computer Science and Technology provides the students with an education designed to help them find employment mainly in the field of creation and administration of various extensive and complex software products, in the creation and administration of computational systems and computer networks, in the production of computers and their components, and finally, among others, in the fields of business and education. [+]

Faculty of Electrical Engineering and Computer Science Study Branch Computer Science and Technology Branch Profile The Master’s course of Computer Science and Technology provides the students with an education designed to help them find employment mainly in the field of creation and administration of various extensive and complex software products, in the creation and administration of computational systems and computer networks, in the production of computers and their components, and finally, among others, in the fields of business and education. Apart from the knowledge ensuring very good chances of employment in practice, the students are educated in relevant theoretical areas as well, which enables them to find employment in R&D as well as to continue their studies in the doctoral programme. Key Learning Outcomes - Knowledge In comparison with the Bachelor’s level, the Master’s knowledge of the preparation theoretical disciplines (e.g. mathematics, discrete mathematics, and theoretical informatics, logics) are deeper and broader. Moreover, the graduate is able to perform analyses. Also, there are more complex, theoretically demanding, or less frequent areas of informatics, such as the processing and analysis of data of various kinds, including multimedia data and very extensive data, systems implementing artificial intelligence, cognitive robots, systems of machine perception and recognition, computer modelling of various systems, designing of special (e.g. very powerful) computational systems. In the above mentioned areas, the graduate is capable of evaluation, and he/she also understands the elementary scientific methods used here. - Skills The graduates can design pieces of work of a large extent... [-]

Masters Degree in Data Science

Sapienza University of Rome
Campus Full time 2 years October 2017 Italy Rome

The remarkable increase in the volume and complexity of available data and new technologies that have been developed to process them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. [+]

Masters in Data Science. The remarkable increase in the volume and complexity of available data and new technologies that have been developed to process them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. Key ingredients to develop a successful strategy are data manipulation and visualization, large scale computing, statistical modelling, learning techniques, algorithmic thinking. Laurea Magistrale in Data Science is a new Master's degree taught in English. It is a joint initiative within the i3S Faculty combining the expertise of four Departments Informatics (DI) Department of Computer, Control and Management Engineering (DIAG) Information Engineering, Electronics and Telecommunications (DIET) Statistics (DSS) This Master's program provides a solid and modern preparation to understand and manage the multi-facet aspects of carrying out a complete data analysis, including acquisition, management, and statistical analysis. Admission To guarantee that students have the required background, there are some requirements that candidates should satisfy. For Italian students, these are: They must hold a 3-year bachelor's degree (laurea trienale) The must have acquired at least 90 credits in the following scientific sectors: Mathematical sciences: MAT/* Informatics: INF/01 Physics: FIS/* Economical and statistical sciences: SECS-P/*, SECS-S/* Industrial engineering: ING-IND/* Computer engineering: ING-INF/* They must possess basic knowledge from some of the following areas: Matematics: Differential calculus and integration in one or multiple real variables, basic notions of linear algebra and analytical geometry in the Euclidean space Probability: Random variables, distributions and mean values, basic distributions, convergence of sequences of random variables... [-]

Master of Data Science and Innovation

University of Technology Sydney
Campus Full time Part time 2 - 4 years January 2018 Australia Sydney + 1 more

The Master of Data Science and Innovation is a world-leading program of study in analytics and data science. Taking a transdisciplinary approach, the course utilises a range of perspectives from diverse fields and integrates them with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities. Work experience/industry placement is an important component of the course. [+]

This course has been developed as a response to a global talent gap for people with data science knowledge, as identified and reported by the McKinsey Global Institute study (2011). The study predicted a shortfall by 2018 of nearly 200,000 data scientists and 1.5 million managers with the capability to make decisions using big data in the United States alone. The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.

The course prepares students to participate in a variety of emerging careers with the growth of data science – data griot, data analyst, data artist, data journalist, mobile behaviour analyst, data-driven policy expert, advertising insight and online community manager, to name a few. While other offerings also provide the basis for these careers, this course provides an additional level of expertise, targeting professionals who have the desire to lead teams and organisations at the chief executive level.... [-]


Master in Data Science (DSC)

EIT Digital Master School
Campus Full time 2 years September 2017 Germany Berlin Netherlands Eindhoven Finland Espoo United Kingdom London France Paris Sweden Stockholm Italy Trento Hungary Budapest Spain Madrid + 16 more

Data abounds: 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. [+]

Masters in Data Science. Why study Data Science? Data abounds: 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. What are the carier opportunities for Data Science graduates? Become a professional for a career in a highly innovative area: data science. The profession in Data Science is hailed as the “… Sexiest Job of the 21st Century,” by Harvard Business Review in October 2012. The Data Scientist is a professional who simultaneously possesses breadth and depth in scalable data management, data analysis, and domain area expertise, and who is capable of solving real-world problems. This is an opportune time to pursue training in both a challenging and rewarding new field. Join us and embark on a journey of a lifetime! Why Data Science at EIT Digital? Getting value, meaning and answering big questions, are the ultimate goals of Learning Data Science at EIT Digital. Mazen Aly Data Science Master student Eindhoven University of Technology Study Data Science at EIT Digital, where education is provided by renowned universities and where entrepreneurial data scientists of the future are come to being! Farideh Heidari Data Science Coordinator What is Data Science Master at EIT Digital all about? The newly established Data Science Master’s offers a unique academic programme, whereby students can study data science,... [-]

Master Program in Data Science

Barcelona Graduate School of Economics
Campus Full time 9 months September 2017 Spain Barcelona

Degree awarded: Official Degree in Data Science. [+]

The Master in Data Science at the Barcelona Graduate School of Economics offers thorough training in predictive, descriptive and prescriptive analytics. With this training, graduates will be prepared to design and build data-driven systems for decision-making in the private or public sector. The study program is organized around the following coordinates: Statistics and Machine Learning Optimization and Operational Research Data Warehousing, Business Intelligence and Big Data Analytics Economics, Finance, and Policy Making Courses are taught both by leading academics in the fields of Statistics, Economics, and Operations Research, and experienced professionals from the Analytics industry. The study program also includes top guest speakers who are currently expanding the frontier of knowledge in Analytics. The students learn how to put in practice what is taught in the classroom by using real data and answering real business questions from a wide array of companies from different industries. Students have the opportunity to solve an entire Analytics project end-to-end during the practicum in a local company. Upon successful completion of the program, students will receive a Master Degree in Data Science awarded jointly by Universitat Autònoma de Barcelona and Universitat Pompeu Fabra. All Barcelona GSE master degrees have been recognized by the Catalan and Spanish Education authorithies within the framework of the Bologna Process (in Spanish, “Master Universitario o Master Oficial”). [-]

Graduate Web Analytics

laSalle Barcelona Postgraduate
Campus Full time 18 weeks October 2017 Spain Barcelona

The Graduate Web Analytics form a new professional able to measure and analyze the parameters of a web page, interpret the results, communicate and recommend actions to improve the web that impact business improvement as well as improving visibility same. [+]

Masters in Data Science. The Degree in Web Analytics form a new professional able to measure and analyze the parameters of a web page, interpret the results, communicate and recommend actions to improve the web that impact business improvement as well as improving the visibility of it. ADDRESSED TO Input profile: Digital marketing professionals who want to deepen their knowledge in this discipline that allows them to exercise analysts in companies and organizations. Graduates in Business, Economics, Statistics or Marketing who wish to acquire a thorough understanding of the technical aspects of digital analytics: technological fundamentals, inventory tools, disciplines, etc. Graduates in Computer Engineering management or wishing to acquire a broader vision of the digital business, and practical application of data analysis technology. Professionals in internet with concerns in the discipline of making decisions based on data. Webmasters who want to purchase a web analytics training and introduction to marketing that allows them to develop their careers. Output Profile: Digital analytics professionals able to provide value to companies or organizations from the collection and analysis of data generated in the activity. Professionals able to define and implement the implementation of any digital analytics tool with the aim of collecting data. Professionals with a multipurpose profile able to interact with different areas of business and help them make good decisions from data mining. PREPARES FOR Train professionals to assist and facilitate decision making in companies from the collection and use of data generated in the online activity. Learn the basics of... [-]