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Purdue University West LafayetteIn today's fast-paced, technologically advanced world, employers are increasingly seeking candidates with sophisticated skills in the fields of analytics and data science, specifically within the realm of Big Data. This is particularly the case within Science, Technology, Engineering, and Mathematics (STEM) sectors, as highlighted by the Council of Graduate Schools (Denecke, D. et al. 2017). In fact, a compelling 2018 analysis by the McKinsey Global Institute anticipates that by 2030, around 70% of global companies will have adopted at least one type of AI technology.
However, despite these undeniable advancements and demands, there exists a stark contrast in the United States, where geoscience curricula have largely failed to adapt to this digital revolution. The expansive growth in data science and AI is not being efficiently capitalized upon, creating a disconnection between the in-demand jobs of the future and the present educational curricula.
Application. Official Transcripts. Degree Certificate 3 Letters of Recommendation. Personal Statement. Statement of Purpose. CV. TOEFL iBT: 81 (with 18 in Writing , 22 in Speaking, 19 in Reading, 14 in Listening) OR IELTS 7.0 overall (with 5.5 in Writing. 7.0 in Speaking, 6.5 in Reading, 6.0 in Listening).
Geological Data Analyst
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