Strengthen Your Major and Job Prospects
More and more businesses need data scientists, data analysts, biostatisticians and quantitative analysts. Graduate prepared for these positions with the Certificate in Data Analysis.
Graduates with this certification will have the skills to source, analyze, interpret and visualize large data sets and build predictive models using the best practices from the field of data science.
Students in any field of study at ¶¥¼¶¹ú²úÊÓƵ can earn the certification while pursuing their undergraduate degree. Certification requires taking a four-course sequence, followed by an internship.
Learning Outcomes
Students who complete the Data Analysis certification will have their academic transcripts annotated as having earned this certification — and be able to show future employers their expertise. They’ll graduate with the experience and ability to:
- Source, clean, prepare, analyze, visualize and make decisions using large datasets.
- Work with datasets from multiple disciplines.
- Recommend business and scientific decisions based on analysis and modeling of data.
- Present these decisions to technical and non-technical audiences.
- Understand the strengths and weaknesses of the most common machine-learning models
Certificate Requirements
Complete the following general education courses:
- Computational Skills I or Computing Science Concepts I (3–4 hours)
- Applied Statistics, Biostatistics or Business Statistics (3 hours)
- Introduction to Data Analysis (3 hours)
- Introduction to Data Science (4 hours)
- Internship or upper-division course with comparable practicum experience (1–3 hours)
Our Faculty
Please contact Paul Savala, assistant professor of Mathematics, for more information.