47 Big Data MSc Degree Programs

The MSc Management (Digitalisation and Big Data) Our intensive, one-year MSc Management with a specialism in Digitalisation and Big Data is for graduates from a wide range of subject backgrounds. It is not necessary to have any prior academic or practical experience in business or management. This programme is for students who aspire to management-level and leadership digital roles in within their chosen industry.

The Master of Science in Business Analytics with a Big Data Management concentration is designed to enable business professionals to improve their data analytics skills and competencies to solve business problems in their organizations. This program will empower students to manage data-oriented systems and embed data-driven decisions within an organization by bringing leadership skills and comprehensive knowledge from big data disciplines to the management table. Students will get a grasp on the emerging tools and technologies available to tackle challenges in Big Data Management. 

The Merage School’s Master of Science in Business Analytics (MSBA) prepares you to compete in the high-demand field of big data and business analytics across various industries and around the globe.

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 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.

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 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 MSc in Spatio-temporal Analytics and Big Data Mining offers students a chance to explore how to analyze large amounts of data that change over time and space. Gain advanced understanding of GIScience, databases, spatial analysis, data mining, analytics and more, on this one-year MSc programme. You'll build the specialist expertise needed to analyse, represent, and model large and complex spatio-temporal datasets.

The MSc Finance and Big Data Analytics course at Swansea University is designed to pair the key areas of finance and business analytics. This programme takes a data driven approach to analysis of financial markets and organisational information. The degree covers the key principles of finance, financial modelling and financial markets to prepare you for a dynamic career in finance, banking and a range of other sectors.

Further your computer science career with a specialist postgraduate degree in big data analytics. This online master’s programme has been designed to equip students with expertise in an area of computing that has seen recent and rapid growth, and in which there is expected to be a significant skills shortage.

Big Data describes sets of data being so voluminous and complex that traditional data-processing application software is no longer able to manage the information. Big Data presents one of the greatest IT challenges of our era and many experts have made Big Data their R&D priority.

The past decade has seen enormous advances in molecular and biomedical technology resulting in an ‘omics’ revolution. Bioinformatics covers the application of mathematics, statistics and computing to biological and clinical scenarios. Algorithms and software tools are used to understand and interpret patient-derived ‘Big Data’.

Our FinTech with Business Analytics MSc draws together knowledge of financial markets and institutions with the skills to develop and implement technological solutions to improve financial services with greater speed, accuracy and at lower costs. This cross-disciplinary course is designed to develop an in-depth understanding of the financial techniques and applications that are transforming the sector and giving rise to a new financial ecosystem. You will learn to apply the technologies, products and approaches used in business: Blockchain Technology, Digital Currencies, Big Data, Predictive Analytics, Artificial Intelligence and Machine Learning.

Our MS in Accounting Data Analytics and Technologies prepares you for entrance into or advancement in the accounting profession or managerial positions. You will gain expertise in using big data, AI, and ERP in auditing, cost management, and forensic accounting.

The MSc Data Science & Artificial Intelligence program at TBS Education is designed to equip students with both technical expertise in AI and essential soft skills, preparing them to address contemporary business challenges and contribute to future decision-making processes.

Gain highly sought-after analytical expertise and help businesses make good data driven decisions.