Master of Science in Physics - Analytics for Large Data Sets

University of South Dakota - Vermillion Campus

USA,South Dakota

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24 Months

Duration

CAD 12,768/year

Tuition Fee

CAD 38

Application Fee

Apply Date

USA, South Dakota

Type: University

Location Type: Urban

Founded: 1862

Total Students: 9,464 +

Campus Detail

Main Campus Address

414 E Clark St, Vermillion, SD 57069, United States

Master of Science in Physics - Analytics for Large Data Sets

Program Overview

An advanced degree in physics builds upon and enhances your knowledge of the field in various ways. At USD, you'll explore individualized research interests, develop your mathematical problem-solving and critical thinking skills, and learn how to analyze data and clearly communicate complex ideas.

Whether you choose a thesis or non-thesis track, you'll become prepared for a future in academia, industry and at national labs. All graduate students can fully engage in a wide range of research, through large collaborations such as COHERENT, DUNE, LEGEND, MINER, PIRE-GEMADARC and SuperCDMS from data analysis and analytics to detector development to simulation. As part of that process, you'll work hands-on in research areas germane to the needs of the Sanford Underground Research Facility (SURF), such as nuclear/particle physics, double beta-decay, dark matter searches and gravitational wave detection experiments, and more. The interdisciplinary curriculum and small class sizes help establish relationships with your peers and professors that empower you to be successful.

Physics - Analytics for Large Data Sets

According to the U.S. Bureau of Labor Statistics, data analyst jobs will see a 20% growth from 2018 to 2028, which is much faster than average. USD's specialization in large data and analytics prepares students for a wider range of job opportunities by taking 15 credit hours of elective courses across three different departments which may include data mining, machine learning, database management, applied statistics and analytics programming.

 

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