Graduate Certificate in the Foundations of Data Science
Purdue's Foundation of Data Science Graduate Certificate gives students the opportunity to learn in-demand data science skills in less time than a traditional master’s degree – making fast career advancement accessible and affordable.
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Overview
Making fast career advancement accessible and affordable.
Purdue’s Foundation in Data Science Graduate Certificate teaches data science competencies in less time than a traditional master’s degree. By taking a handful of 100% online courses, you can add a valuable credential to your resume or plan of study and build foundational skills that will help you stay ahead of this revolutionary trend.
The cost of attending Purdue varies depending on where you choose to live, enrollment in a specific program or college, food and travel expenses, and other variables. The Office of the Bursar website shows estimated costs for the current aid year for students by semester and academic year. These amounts are used in determining a student’s estimated eligibility for financial aid. You can also use our tuition calculator to estimate tuition costs.
Program Specifics
Learn more about the Foundations of Data Science Graduate Certificate
Earn a Foundations of Data Science Graduate Certificate online from Purdue University. Professionals will learn from a wide range of topics from computer programming, data mining, machine learning, and statistics.
Core Courses: All students complete our Foundations in Data Science course as part of the Graduate Certificate and can then choose one additional Data Science focused course from our Master of Science core curriculum, covering topics such as:
– Big Data Tools and Technologies
– Cross Domain Data Communication and Visualization
– Data Analytics
– Applied Machine Learning
Technical/Professional Elective: Learners round out their Graduate Certificate by completing 3 credits of elective courses, choosing from an extensive list of options across a wide array of disciplines.
Career Outcomes
Top Job Titles
- Software Engineer
- Data Scientist
- Machine Learning Engineer
- Research Scientist
- Data Analyst
- Quantitative Analyst
Top Industries
- Technology
- Government
- Finance
- Automotive
- Retail
- Healthcare
- Education
- Telecommunication
Source: LightcastTM (2023). Unique job postings for July 2022-2023. Projected growth for years 2023-2033.
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