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Masters degrees in Statistics equip postgraduates with the skills to collect, analyse, interpret and present large sets of numerical data for a variety of purposes.
Related postgraduate specialisms include Social Statistics, Environmental Statistics, and Advanced Statistics. You’ll usually need an undergraduate degree in an appropriate maths-based subject to meet the entry requirements.
Statistics is applicable to a broad range of systems and processes across a variety of sectors and related industries. These courses will provide training in methods such as surveying, random sampling and stochastic processes to determine patterns within collected data, and model it to understand its implications.
For example, you may gear your studies towards a career in the healthcare sector, specialising in biostatistics and statistical genetics. These practices aid professional understanding of the effects of certain substances on the body, or trace diseases across geographical locations.
Alternatively, you may explore careers in aerospace engineering or mechanics, specialising in computational inference and machine learning. Statisticians also work within organisations to develop data management systems and financial models.
Finally, you might also work within environmental surveillance or urban planning, undertaking spatial statistics to deduce potential problems with ecosystems or population growth.
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This programme will help you develop professionally in the theory and practice of statistics and operational research (OR), providing the foundations for a successful career. Read more
How does a bank check whether your digital signature is a valid one? Do planets move in stable orbits or will they eventually collide? How can a 3D-sphere within the 3D-figures be characterised? The mathematics behind these questions is dealt within your Master's degree programme. Read more
We are surrounded by data. The variety and amount we collect and store grows every day, from the simplest of retail transactions to the complex and intimate medical records of millions. Read more
USF’s one-year Master of Science in Analytics (MSAN) program delivers a rigorous curriculum focused on mathematical and computational techniques in the emerging field of data science. Read more
Biomedical research generates large volumes of complex data, encompassing. genomics, proteomics, metabolomics, phenotypic data, epidemiology and clinical trial investigations, to inform our understanding of disease mechanisms. Read more
Drawing on statistics, computer science and mathematics, the Master of Science in Data Science focuses on the effective use of a vast array of information drawn from the natural and social sciences. Read more
Administered jointly through the Department of Computer Science and the Department of Engineering Management & Systems Engineering , the Master of Science in Data Analytics aims to address the growing demand for professionals skilled in big data and data analytics in government, industry and research organizations. Read more
The 2-year MSc program „Data Science for Society and Business (DSSB)“ is a program for students of social and business sciences aiming to become data science experts in their fields. Read more
The recent progress in several fields of theoretical physics (such as high energy physics, astrophysics, quantum and nonlinear optics or condensed matter physics) required numerous very sophisticated mathematical tools. Read more
The department offers a flexible MS program addressing the needs of both full-time and part-time students preparing for professional positions or for doctoral programs in statistics and other quantitative fields. Read more