Data Science: Computational Analytics Undergraduate Certificate
Study big data and machine learning with the Undergraduate Certificate in Data Science: Computational Analytics in Temple’s College of Science and Technology. Geared toward students with a strong mathematical and programming background, this undergraduate certificate will aid your career advancement in a number of industries, including biomedical sciences, defense, education and engineering.
Data science is used to make complex decisions in a number of data-rich domains, such as biomedical science, defense and security, education, engineering, geoscience, physical science and social science. As a student, you’ll learn how to analyze large quantities of data and discover the knowledge necessary to fuel cutting-edge developments. You'll also dig deep into computational analytics through the exploration of techniques and theories steeped in computer science, mathematics and statistics. Your courses will provide you with a strong foundation in algorithmic, computational and statistical thinking as well as the inner-workings of computer systems.
This certificate is available to all undergraduate students and professional non-degree-seeking students.
Who might be interested?
This undergraduate certificate is ideal for those students who have completed advanced mathematics and computer programming coursework, as well as professionals who currently work in fields related to data science.
Undergraduate students can add this certificate to their curriculum.
You must complete 13 to 15 credits in order to receive this certificate. Current undergraduate students must complete 20 credits of specific prerequisite courses prior to adding the Data Science: Computational Analytics Certificate (Undergraduate) to their curriculum. Learn more about the prequisites for this program.
All classes take place at Temple's Main Campus.
Classes & Curriculum
In this 13- to 15-credit-hour program, you’ll complete two courses in computer and information sciences. Classes include
- Principles of Data Science and
- Foundations of Machine Learning.
You’ll also choose two classes out of two preapproved lists that include
- Linear Algebra,
- Mathematical Concepts in Computing II,
- Probability Theory I and
- Statistical Business Analytics.
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