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MS in Data Science

MS in Data Science

Aligns with Lindsey Wilson College's mission to serve the educational needs of its students and the institutional goal to strive for the highest degree of educational excellence by providing programs based on the findings of research. The rise of data-driven strategies has been accompanied by an increasing demand for data skill-related hires. The Bureau of Labor Statistics projects a 35% growth in employment opportunities for data scientists between now and 2031.

About The Programme

While data science is still a relatively new career field, employers are increasingly recognizing the value of employees who have this expertise. Today, data scientists are working at a range of organizations, including in fields such as product development, marketing, and public health, as well as scientific research in areas like genomics, drug discovery, climate science, neuroscience, particle physics, and research institutions. The sheer amount of data available to firms and the tools used to analyze this information has expanded tremendously in the past decade.

Course Details

Core Courses

  • Python Programming (MSDS 5033) (3 credits)
  • Probability & Inference for Data Science (MSDS 5103) (3 credits)
  • Introduction to Statistical Modeling (MSDS 5113) (3 credits)
  • Fundamentals of Data Science (MSDS 5123) (3 credits)
  • Data Systems & Algorithms (MSDS 6203) (3 credits)
  • Programming for Data Science (MSDS 6213) (3 credits)
  • Data & Database Management with SQL (MSDS 6403) (3 credits)
  • Presentation & Visualization of Data (MSDS 6413) (3 credits)
  • Machine Learning & Artificial Intelligence (MSDS 6503) (3 credits)
  • Applied Capstone Project (MSDS 6903) (3 credits)

 Internship:  3 credit hours

  • Internship (MSTM 5901) – 1 credit


TOTAL CREDITS - 33 to 35

Programme Highlights

University
Lindsey Wilson College
Total Fee
$16,995
Total Hours
33 Hours
Credit Fee
$515

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