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Data Science is a dynamic and rapidly changing field where new approaches, content, and techniques for manipulating data are constantly being introduced. It uses tools from Computer Science and Statistics to analyze large amounts of raw data to discover patterns, relationships, and insights, and inform decisions in multiple industries, domains, and contexts.
• Application • Official Transcripts • Personal Essay (optional) • One Letter of Recommendation (optional) • SAT/ ACT (optional) • List of Activities (optional) • TOEFL iBT: 80 overall with (Reading- 20, Listening- 19, Speaking- 22, Writing- 19) OR IELTS 6.0 overall with 5.5 in each section US universities use a holistic admissions review. Beyond grades and standardized test scores, they weigh the strength of your overall profile to understand who you are as a student and a person.
Profile Assessment: Applicants are generally expected to demonstrate strong quantitative ability, particularly in Mathematics. Advanced Calculus, Statistics, Computer Science or Physics can support academic preparation. Coding projects, applications, websites, hackathons, research, data-analysis projects and technology-based solutions may demonstrate technical curiosity and practical ability. Previous coding experience is helpful but is not compulsory at every university.Advanced Placement(AP) Guidance: AP availability depends on the student's school. Relevant APs can strengthen an application and may earn university credit, but are not compulsory unless the university or programme explicitly requires them.Essays & recommendations: Personal essays and teacher/counselor recommendations give context to your achievements and help demonstrate fit with the program.Data Scientist
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Arcadia University
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