304 Data Science and Big Data Master's Degree Programs

The online Master of Information and Data Science (MIDS) program is preparing the next generation of experts and leaders in the data science field and providing students with a UC Berkeley education without having to relocate. Students graduate with connections to UC Berkeley’s extensive alumni network in the Bay Area and across the world. All international applicants will be required to submit official Test of English as a Foreign Language (TOEFL) scores.

Make decisions based on data with UNIR 's Master's Degree in Mass Data Analysis and Visualization / Visual Analytics & Big Data. Specialize in big data, the profile most desired by companies. At a time when companies use a large volume of information on a permanent basis, specialists in data analysis and processing have become one of the profiles with the greatest demand and future employment.

Dubbed the hottest job of the 21st century, data scientists are some of the most wanted professionals in today’s labor market. According to Glassdoor, data science is the number one job considering demand, salary, and job satisfaction. In Amsterdam, the average entry-level data scientist salary is 47,422 EUR. We help you prepare for the world’s hottest job by developing your technical and interpersonal skills and connecting you with employers in the Amsterdam metropolitan area.

Big Data is much more than a fashionable concept, it is a necessity. Currently, all industries that generate and consume data of multiple types and sources need professionals and experts in Big Data. Therefore, these jobs are among the most in demand worldwide. For example, according to LinkedIn, about 79% of the offers published on job portals are related to Big Data and/or Data Science jobs.

The MSc in Applied Data Science & AI is designed for graduate students who seek a career at the intersection of management and tech departments within companies. The program has no prerequisites on Computer Science.

Master's Degree No. 3 in the official ranking Spain 2023. With the master's degree you will find one of the best paid jobs in the world. Digital Analytics is one of the most in-demand disciplines in the digital sector and recently in all sectors. We champion Banking and the media, with the rest of the sectors joining the new demand. With the strategic change of cost-based companies into data-based companies, knowledge of the data, to work with it and from there achieve optimization has become the key to the new company. The main objective of the Digital Analytics Master is to make you become a professional digital analyst. To do this, our master's degree focuses on developing the main capabilities that any analyst must have: business vision, technical skills, analytical capacity and knowledge of the digital environment, always with the use of the main leading tools. It is time to move forward, it is time to decide and adapt to the market needs for the competitiveness of the company. You can choose to be a Data Science, Business Data Analyst or Data Project. Choose the #3 ranked master's degree in Spain for Data Processing. Choose the Master in Data Analytics and Big Data from Spain Business School (MAWBD+).

The Master’s Degree in Data Science and Management trains future leaders in the fields of artificial intelligence, big data and management. Through a multidisciplinary and applied approach, the programme equips students to turn data into strategic insight and innovation, combining analytical, technical and managerial expertise.

UNC Charlotte’s M.S. in Data Science and Business Analytics (DSBA) program is an interdisciplinary blend of business, computer science, statistics, and operations research. Gain advanced skills in data analysis, business acumen, and hands-on experience to solve real-world problems.

The Master in Data Science, a partnership between the Department of Electronics, Telecommunications and Informatics (DETI) and the Department of Mathematics (DMat), allows strengthening the knowledge and skills in data exploration and machine learning, with an emphasis on extracting actionable information from large-scale data. The Masters combines knowledge from the basic areas of Data Science, namely Mathematics and Informatics, providing both the theoretical foundations and the computational skills necessary for its application to different types of data and contexts.

The Master in Healthcare and Big Data is educating and training professionals to harness complex health datasets for better clinical and policy decisions, integrating analytics, AI, and domain knowledge to improve outcomes, efficiency, and equity in healthcare systems while ensuring ethical, secure, and evidence-based data use across research, management, and patient care.

A two-year, English-taught Master’s program focused on Big Data, AI, and Machine Learning, with a strong emphasis on Finance and Health Economics. Offered full-time in evening hours (17:00–21:00), the program allows students to combine work and study while gaining advanced analytical, entrepreneurial, and technological skills.

The master's degree course in Data Science for Management (CdLM), activated by the Department of Economics and Management in collaboration with the Department of Engineering anche Architecture, aims to train those who are now commonly called data analysts and data scientists, who are to be considered as the main professional opportunities.

Become the Big Data, Data Science and Business Intelligence expert that companies and the emergence of new technologies are demanding.

Shape the Future with Cutting-Edge Tech Skills Technology is driving the global economy—and the demand for skilled IT professionals is growing rapidly, with employment in computer science projected to increase by 12% through 2028. The online Master in Computer Science – Cybersecurity, Artificial Intelligence, and Data Science is designed for students who want to be at the forefront of innovation. This comprehensive online program equips you with a solid foundation in modern software and hardware systems, while diving deep into the technologies shaping tomorrow—AI, machine learning, data science, the Internet of Things (IoT), and cloud-based solutions. Throughout the program, you'll gain both theoretical knowledge and practical skills in software engineering, big data analytics, and cybersecurity. You’ll learn how to design intelligent systems, secure digital infrastructures, and turn complex data into strategic insights—preparing you to lead in an increasingly digital and connected world. Whether you're aiming to work in tech-driven startups or global enterprises, this master’s program gives you the tools to innovate, solve real-world problems, and future-proof your career.

Data Science is a combination of science, engineering, and art skills to extract useful knowledge from data. It involves different areas of knowledge, from statistics to databases and computer science, from artificial intelligence to machine learning and deep learning. It is used to solve important problems in our economy and society, from predicting the sales of products and recommending the best product for a customer, to supporting the diagnosis of patients and analyzing the spread of a virus.

Specialise in image data analysis and automating visual inspections with artificial intelligence with Computer Vision and Data Science course from NHL Stenden University of Applied Sciences. Using machine learning, deep learning, computer vision, mathematics and programming you develop a skillset for developing and optimising machine-learning algorithms and datasets to meet customer specifications

The 2-year master program Data Science for Society and Business (DSSB) is a highly selective program for students of business and social sciences aiming to become data science experts. The program is also of high interest to students with backgrounds in health and environmental sciences aiming to expand into big data analytics, data-driven and computational social science, based on their strong quantitative background.

Data Science is an inter-disciplinary field, drawing on mathematics, statistics, and computer science, that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.