Program Overview

Overview

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.

Program Details

• Campus Location: Main
• Program Code: ST-DSCA-CERT

Certificate Requirements

Prerequisites

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

• Course List Code | Title | Credit Hours
  • CIS 1068 | Program Design and Abstraction | 4
  • or CIS 1968 | Honors Program Design and Abstraction
  • CIS 1166 | Mathematical Concepts in Computing I | 4
  • or CIS 1966 | Honors Mathematical Concepts in Computing I
  • MATH 1041 | Calculus I | 4
  • or MATH 1941 | Honors Calculus I
  • MATH 1042 | Calculus II | 4
  • or MATH 1942 | Honors Calculus II
  • Total Credit Hours | 16

Required Courses

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

• Select one of the following: | 3-4
  • CIS 2033 | Computational Probability and Statistics
  • MATH 3031 | Probability Theory
  • STAT 2103 | Statistical Business Analytics
  • BIOL 3312 | Biostatistics (F)
• Select one of the following: | 3-4
  • CIS 2166 | Mathematical Concepts in Computing II
  • MATH 2101 | Linear Algebra
  • MATH 2103 | Linear Algebra with Computer Lab (F)
• CIS 3715 | Principles of Data Science (S) | 4
• CIS 4526 | Foundations of Machine Learning | 3
• Total Credit Hours | 13-15
• (F) - Fall only course
• (S) - Spring only course

Residency and Distinct Course Requirements

• Residency Requirements: At least 2 courses required for the certificate must be completed at Temple.
• Distinct Course Rule: At least four credits or two courses of the certificate must not be credited towards a CST major, CST minor, or additional CST certificate.