The Bachelor of Science in Data Science guides students through essential concepts including data mining and visualization, data warehousing as well as ethical perspectives and policies in an increasingly digital world.
The Bachelor of Science in Data Science guides students through essential concepts including data mining and visualization, data warehousing as well as ethical perspectives and policies in an increasingly digital world.
All students in the major also complete a required capstone course, during which they learn to apply the theoretical knowledge and practical skills gained in major courses to a real-world problem.
The George Washington University is co-leading a multi-institutional effort supported by the National Science Foundation (NSF) that will develop new artificial intelligence (AI) technologies designed to promote trust and mitigate risks, while simultaneously empowering and educating the public.
The NSF Institute for Trustworthy AI in Law & Society (TRAILS) unites specialists in AI and machine learning with systems engineers, social scientists, legal scholars, educators, and public policy experts. The multidisciplinary team will work with impacted communities, private industry, and the federal government to determine how to evaluate trust in AI.
How to develop technical solutions and processes for AI that can be trusted, and which policy models best create and sustain trust. David Broniatowski, an associate professor of engineering management and systems engineering at GW, is the lead principal investigator of TRAILS at GW.
Founded in 1884, the mission of the School of Engineering and Applied Science (SEAS) of The George Washington University is to serve the global community by:
Located in the nation’s capital, SEAS strives to promote a multicultural technological community and maintain and develop special integrated programs with industry and government.
SEAS' programs and degrees prepare professionals to be confident in their understanding of science and technology, capable of exercising constructive leadership, creative in the face of new environmental and societal challenges, and agile in the application of critical analytical skills during a life long learning that will open new career horizons.
In all of its activities, the School strives to create a vibrant atmosphere, providing for interaction and joint ventures among faculty, students, and the abundant resources of scientists and facilities available in the Washington Metropolitan Area.
Unlock the keys to data-driven decision-making and learn to fulfill the potential of data by earning a certificate in applied data science through the IU School of Informatics and Computing at IUPUI.
The bachelor of science degree in data science will provide necessary background in mathematics and build a strong foundation in data science, covering data structures, algorithms and database management, data collection, data mining, machine learning, modeling, and inference.
The Data Science Bachelor of Science degree offers students skills and knowledge in advanced analytics, data mining, business analytics, and statistics for generating meaningful insights and developing data-centric strategies essential for industry.
The graduate certificate in data science and analytics is designed to serve the advanced educational needs of bachelor’s-prepared professionals who require modern skills for manipulation and organization of their industry data. The advanced certificate program consists of 12 graduate credit hours...
Simmons’ bachelor of science in data science and analytics consists of 63-67 credit hours. 43 of these credit hours are spent in required courses—see the list in the program requirements drop-down menu below—with the remaining 20–24 being filled by courses in your selected concentration.
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