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We have 28 Full Time Masters Degrees in Statistics (Business Statistics)

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Full Time Masters Degrees in Statistics (Business Statistics)

We have 28 Full Time Masters Degrees in Statistics (Business Statistics)

Departments and universities

Columbian College of Arts and Sciences

GW’s Columbian College is a magnet for top scholars and a catalyst for learning and discovery. With more than 90 doctoral and master’s programs, we offer a transformative experience, connecting students with some of the most influential leaders and institutions while partnering with public and private organizations in the nation’s capital and around the globe. Hone your expertise in subjects as diverse as statistics, fine arts, public policy, art therapy, forensic sciences, and LGBT health policy and practice.

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The School of Physical and Mathematical Sciences

The School of Physical and Mathematical Sciences (SPMS) at Nanyang Technological University, Singapore, is a global leader in advancing knowledge across physics, mathematics, with a strong focus on innovation and real-world applications. Our postgraduate programmes, including the MSc in Financial Technology, MSc in Analytics, MSc in Modelling and Simulation, and MSc in Precision Scientific Instrumentation, equip graduates with both theoretical mastery and practical expertise. SPMS offers a dynamic learning environment where academic rigour meets hands-on experience, supported by world-class faculty, cutting-edge facilities, and strong industry partnerships. We prepare students to become future-ready scientists, data innovators, and technology leaders who drive impactful transformation across research and industry.

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Faculty of Science

The Faculty of Science at University of Southern Denmark is a leading centre for scientific research and education that tackles some of the most pressing scientific questions and global challenges. Researchers at the Faculty of Science conduct research on water and the environment, the origins and physics of the Universe, first life on earth, operator algebra, efficient algorithms, synthetic biology, future pharmaceuticals, and of course proteomics, where SDU is second to none.

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