Data Science: Computational Analytics, Certificate

The certificate in Data Science: Computational Analytics is designed to allow students with strong mathematical and programming backgrounds to develop expertise in big data analytics and machine learning. This certificate is available to all undergraduate students and professional non-degree-seeking students.

Department of Computer and Information Sciences
Dr. Slobodan Vucetic, Chair
Science Education and Research Center, Room 304
215-204-8450

Dr. Gene Kwatny, Vice Chair
Science Education and Research Center, Room 304
215-204-8450

Dr. Anthony Hughes, Faculty Advisor
Science Education and Research Center, Room 341
215-204-7910
anthony.hughes@temple.edu

Certificate Requirements

Prerequisites

Students desiring a Certificate in Data Science: Computational Analytics must have already completed the following or have equivalent industry experience:

CIS 1068Program Design and Abstraction4
or CIS 1968 Honors Program Design and Abstraction
CIS 1166Mathematical Concepts in Computing I4
or CIS 1966 Honors Mathematical Concepts in Computing I
MATH 1041Calculus I4
or MATH 1941 Honors Calculus I
MATH 1042Calculus II4
or MATH 1942 Honors Calculus II
MATH 2043Calculus III4
or MATH 2943 Honors Calculus III
Total Credit Hours20

Required Courses

Students desiring a Certificate in Data Science: Computational Analytics must complete the following courses:

Select one of the following:3-4
Computational Probability and Statistics
Probability Theory I
Statistical Business Analytics
Biostatistics (F)
Select one of the following:3-4
Mathematical Concepts in Computing II
Linear Algebra
Linear Algebra with Computer Lab (F)
Differential Equations with Linear Algebra (F)
CIS 3715Principles of Data Science (S)4
CIS 4526Foundations of Machine Learning3
Total Credit Hours13-15
(F) - Fall only course
(S) - Spring only course

Residency Requirements: At least 2 courses required for the certificate must be completed at Temple.