Lyon data analysis programs master
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RPH 140 Introduction to World Philosophies.RPH 130 Introduction to Christian Theology.One religion/philosophy course (3 credits) SCI 100, 100L Physical Science for Liberal Arts.CHM 105, 105L Introduction to Chemistry.PSY 235 Statistics for the Behavioral Sciences.BUS 323 Statistical Applications to Business Decision Making.ECO 208 Quantitive Methods in Business, Economics, and Decision Science.MTH 115 Discrete Mathematics or MTH 290 Foundations of Modern Mathematics.ANT 101 Introduction to Cultural Anthropology.Taken in the first year (or within one year of completing any pre-requisite coursework): Recommended but not required in the first year:Ĭommon Core requirements (13-14 credits): ENG 102 English Composition II (taken immediately following successful completion of ENG 101 with a grade of 'C' or better).ENG 101 English Composition I (taken immediately if placed into it or immediately following completion of ENG 001 with a grade of 'C' or better).Taken in the first year (depending on placement): Taken in the first two years, if not placed out of it: Taken in the first year, if placed into it: Taken in the first semester, if placed into it: Least a 2.00 cumulative grade point average for all work taken at Lyon College and a 2.00Ĭumulative grade point average in their major, minor, and concentration.ĭevelopmental requirements (up to 6 credits): Hours vary per major), and a selection of our Liberal Arts electives. Our required Core curriculum (44-48 hours), the requirements of at least one major (credit Students must successfully complete a minimum of 120 semester credit hours comprised of NOTE: To graduate with a Bachelor of Arts or Bachelor of Science degree from Lyon College, The Lyon College Data Science program will provide students with the theoretical background and initial problem-solving experiences focusing on three general broad areas: science, business and economics, and social sciences and humanities. The proper study and understanding of the implications of this data is increasingly important. In addition to the data that is being constantly generated through modern commercial use of the internet, an abundance of data has been in existence for some time. The ongoing generation of “big data” has resulted in a new job market: business leaders, scientists, engineers and leaders in all walks of life have realized that they need scientists with the knowledge and ability to analyze, and understand the implications of the data and then communicate their findings. Nearly every device connected to the internet is generating data, and those capable of analysis and study of it is increasingly in demand. Two-Year Visiting Associate Professor: Marcus Birkenkraheĭata is being generated at all times, arriving from multiple sources at an incredible rate.