Master of Science in Data Science
Gain the skills needed to elevate your career!
Advance your career by learning in-demand Data Science skills.
Data Science is a rapidly growing and pivotal area within a number of different sectors and jobs. According to Forbes, data will continue to revolutionize various industries, with an expected annual growth rate of 35% between 2024 and 2030.
Meet the growing demand for data science experts with Purdue University’s online Master of Science in Data Science. Delivered through an online and flexible modality, select different courses tailored towards your specific interest. Course topics include programming, data analysis, data engineering, data visualization, statistics, machine learning, natural language processing, and more.
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Data Science is being leveraged and adopted across many different industries. Purdue University’s online Master of Science in Data Science will mold the next generation of data scientists and data engineers to help meet unprecedented industry demand for skilled employees.
The interdisciplinary nature of the degree allows students to work with Purdue’s well renowned faculty in their fields, and customize the program tailored towards specific areas of data science. Faculty range from a number of different colleges at Purdue such as College of Engineering, College of Science, and more.
The practicality of this degree makes it an ideal learning opportunity for tech professionals. Professionals will learn from a wide range of topics from computer programming, project management, data mining, machine learning, natural language processing, statistics, linear algebra, and regression.
Why pursue an online Master of Science in Data Science at Purdue?
Students who complete the Master of Science in Data Science will be able to learn essential skills such as:
– Obtain foundational knowledge and practical experience in the realm of data science
– Acquire professional skills that include programming, statistical analysis, and data visualization
– Develop technical skills that include data engineering, machine learning, and data mining
– Gain expertise in the areas of natural language processing, data analysis, and regression