9 Data Mining Degree Programs

The Master's Degree in Business Analytics is based on the need to train highly qualified professionals in a field of study that has become essential today. The convergence of large volumes of data, technological advances, the unstoppable growth of digitalization and the growing demand for analytical information for decision-making have boosted the relevance of data analysis in business and organizational management.

Data is absolutely everywhere - it is all around us and continually growing. Huge data sources are increasing exponentially, but there are too few people with the specific skills and understanding to process the abundance of information available to inform the best ways forward in tackling pressing global challenges.

The field of data analytics is developing rapidly. With the rise of ever larger and more specialised datasets, it’s essential to understand how to collect, handle, evaluate and interpret data. This practical course will ensure you learn applicable techniques to take into the workplace.

If numbers are your great passion, the MBA specialising in Data Analytics is the right choice for you. In this part-time degree programme, you will be trained as a data specialist and can then start your career in various industries, such as e-commerce, insurance or banking.

The Master of Science in Data Science (MSDS) is a full-time, one-year program housed at USF’s downtown San Francisco campus. Commencing annually in early July, this comprehensive 35-unit program offers a state-of-the-art curriculum in AI and data science. Specifically designed for students.

The PGDip/MSc in Applied Statistics and Datamining is a commercially relevant program of study providing students with the statistical data analysis skills needed for business, commerce, and other applications. The PGDip/MSc in Applied Statistics and Datamining is a taught program run by the School of Mathematics and Statistics.

The Certificate in Data Mining and Machine Learning is designed to equip students with practical skills in analyzing large datasets and developing effective machine learning models. The coursework cov...

The Master of Science in Data Science program qualifies for STEM OPT/CPT benefits, allowing international students up to 36 months of practical training, and offers a rigorous and comprehensive curriculum that equips students with advanced skills in statistical methods, data analytics, artificial intelligence, and ethical technology management. The program combines core courses such as Statistical Methods, Quantitative Methods, and Data Analytics with specialized classes in Big Data Analytics for IoT, Applied AI, and Advanced AI for Business Insights while enabling international students to access 12 months of CPT during the program, 12 months of initial OPT, and an additional 24-month STEM OPT extension with qualifying employers.

The large volumes of information stored by most organizations constitute a significant asset. Within the databases are the characteristics of the organization, customer behavior, production structures, the results of various decisions and many keys to improving performance.