Data Science: Computational Analytics Certificate (Undergraduate)

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.

Credit Requirements

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.

Delivery Method

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.

Learn more about Data Science: Computational Analytics courses.

Related Graduate Degrees

Related Graduate Certificates

Tuition & Fees

The tuition for this Certificate Program is based on school or college of your major, program degree level (undergraduate or graduate), course load (full- or part-time), in-state or out-of-state residency, and more. You can view the full Cost of Attendance breakdown on the Student Financial Services website.

Our Academic Advisors

The Center for Academic Advising and Professional Development in the College of Science and Technology helps you navigate New Student Orientation, advises on specific degree programs and courses, provides post-graduation guidance, and offers peer support. You can also be matched with a qualified student advisor or advocate who will further assist with degree and academic questions or concerns.

Learn more about the Center for Academic Advising and Professional Development’s academic advisors and the CST Peer team.

Program Contact

Accreditation

ST-DSCA-CERT