Find a big data degree

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.

With this master's degree, you'll be able to use a data-driven working methodology and apply it to big data processes to become a football analyst at a club, create your own department, or join top-level coaching staffs.

The master's degree in online sports big data is a qualification that allows you to specialize as a game analyst or data analyst in the sports sector. The program has a practical approach and offers a comprehensive view of big data and how to obtain the best information through data. Along with learning the use of data and artificial intelligence, the curriculum deepens the understanding of the game and the steps that must be taken to find the best players in different sports practices.

Bachelor in Data Science and Big Data Technology focuses on Computer Technology, Artificial Intelligence methods, and Statistical theory to solve Big Data intelligent analysis, processing, and decision-making problems in industrial applications.

Study the MSc Big Data at Stirling to gain in-demand industry skills needed by employers in big data technologies, data analytics, and industrial and scientific applications.

The Master in Big Data Science is a two-year program conducted in English, which is held in collaboration with industry experts from global companies. The studies simultaneously prepare students to work in big data in the finance field. Aside from extensive finance knowledge, practical technical skills will be taught, such as identifying, collecting, analyzing, interpreting, and transforming data in order to face the big data challenges in the financial world. Furthermore, new trends in both areas will be presented, from venture capital to cloud computing.

Recent advances in technology, along with decreasing hardware costs, led to the development and creation of smart devices and applications that pervade most aspects of daily life. The adoption and use of such technologies and applications in an ever-expanding variety of domains, including social media, entertainment, telecommunications, e-commerce, medical records and e-health, resulted in a rapid explosion in the amount and variety of generated data and to the need to store and analyse this data. The term "big data" refers to the ability to exploit these massive amounts of extremely heterogeneous structure and content data that are routinely generated at an unprecedented scale from an ever-expanding variety of data sources. Business and industry use their big data to extract a better understanding of their customers’ needs and behaviour, develop targeted new products and cut operational costs. The competitive advantages and productivity gains that big data brought led to a great number of big data projects and a shortage of people with the required skills. This course is aimed at people who want to move into this rapidly expanding and exciting area; it has a strong vocational flavour as it has been designed to build your knowledge and understanding of big data systems architectures and to equip you with a range of highly marketable, hands-on skills employed by the core technologies utilised in big data projects.

The MSc Big Data Analytics is a perfectly structured programme that equips students with both the theoretical grounding and the practical skills concerning a broad range of topics related to Big Data Analytics. Big data is around us. Every day 2.5 quintillion (2,500 followed by 15 zeros) bytes of data are created, and 90% of the data in the world today has been generated in the last two years. As a consequence, skills in processing and obtaining intelligence from the precious commodity of big data are in demand across many sectors, ranking data scientist as the best job in America according to Glassdoors 2018 rankings and for three years running. The programme is designed for graduates in a STEM or Business subject, who want to gain the necessary background in Big Data Analytics, but also for data analysis professionals who want to expand their knowledge and skills in this specific discipline. Thus, this specific programme provides exciting career opportunities in academia or industry.

This Artificial Intelligence + Big Data program aims to guide students in their understanding of the technologies behind Big Data and Artificial Intelligence. Artificial Intelligence applied to the real world requires extraordinary vision, and this course intends to show the path to understanding the technology, its applications, and the execution of advanced AI project management models.

Certificate in Big Data in Shipping: Big data is a pressing issue in modern business, but in shipping, it can help streamline voyages, minimise emissions and impact the bottom line. Be part of the early adopters that already understand the potential of Big Data in the shipping industry and build a competitive advantage over the rest of the industry. Delivered by part-time tutored online learning, this course gives you a detailed foundation to Big Data in shipping, including data collation, storage and management and future applications of Big Data, in carefully constructed study modules.

This course will promote students' good understanding of the Big Data eco-system, and current trends, highlight the Big Data challenges, allow students to build on-demand Big Data applications and show them how to solve advanced analytics problems with Big Data using cutting-edge technologies.

Big data is noted for its volume, variety of data types, and rapid accumulation. Big data has become a catchphrase to describe data collections that are so large they are not amenable to processing or analysis using traditional database and software techniques.

A unique program that gives you an in-depth insight into the valuable relationship between technology and business decision-making in organizations. EAE Barcelona’s Master in Big Data & Analytics is designed with precisely this goal: to empower professionals who want to develop both their technical and business profiles at the same time.

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 Master’s in Big Data is a course that covers Big Data analytics. A degree for engineers, statisticians and mathematicians, or data analysts, with a vocation in the field of ICT, seeking to expand their knowledge in storage techniques and distributed information processing, as well as big data analytics and visualisation.

The modern economy is driven by digitization, generating billions of data points. Companies that quickly adopt a big data analytics-based growth strategy gain a competitive advantage in the marketplace. To implement such a strategy, companies need data scientists, experts, and practitioners whose research can extract meaningful insights from the structured and unstructured information they collect.

The Master in Big Data and Analytics was born as a result of the union between the extensive experience in training and research, in the field of technology, which characterizes the UPC, backed by the recognition and accreditations it has, both nationally and international; and, the experience in online training, with a technological and business focus, from OBS .

Big Data was born to respond to these challenges and, above all, so that through data analysis we are able to attract more customers, avoid losing them and improve our operational processes. In this master's degree we will be able to understand the technologies behind Big Data and Artificial Intelligence.