Data Science Proficiency Certificate
Description:
Across diverse industries, data has increasingly become one of the most prized resources of any organization. Data Science and Big Data analytics have created a new frontier as organizations seek new opportunities and advantages from mountains of information. This proficiency certificate prepares graduates to function as members of a data analytics team, contribute to a data science project, and implement data analytics solutions using real-world data to solve real-world problems.
Students may apply various credits earned in this proficiency certificate towards the AAS in Computer Information Systems and AS in Computer Science degrees, as well as the Computer Programming I Proficiency Certificate.
Program Learning Outcomes:
Upon successful completion of the Data Science Proficiency Certificate, students will be able to:
- Perform data exploration, problem solving, and analysis with programming languages used in data science.
- Function as a member or leader of a team on a data science project and present results to different audiences.
- Produce the most suitable visualizations to describe data and communicate findings.
- Apply statistical methods and models relevant to data science.
- Demonstrate proper ethical practices for the storage, collection, and analysis of data.
Program Entry Requirements:
Students should be ENGL 101 and MATH 161 ready. Students are required to satisfy placement at the time of admission. Students who are identified as needing developmental course work must satisfactorily complete the appropriate english and mathematics courses as part of the certificate when applicable.
Program of Study and Graduation Requirements:
Successful completion of the program requires a "C" grade or better in each of the courses listed.
Course Sequence:
| Course Number and Name | Prerequisites | Credits |
|---|---|---|
| CSCI 111 - Computer Science I with Java and Python | FNMT 118 prerequisite or placement in MATH 161 or higher | 4 credits |
| CSCI 118 - Foundations of Data Science | FNMT 118 completed with a grade of "C" or better (or placement in MATH 161 or higher) and either CSCI 111, which may be taken concurrently or CIS 106, which may be taken concurrently | 3 credits |
| CIS 205 - Database Management Systems | CSCI 112, which may be taken concurrently, or CIS 103, or CSCI 118. | 4 credits |
| CSCI 218 - Statistics for Computing and Data Science | Either CSCI 111 or CSCI 118 with a grade of "C" or better, and MATH 161 with a grade of "C" or better (or higher placement) | 4 credits |
| CSCI 221 - Machine Learning | CSCI 118 with a grade of "C" or better, or CSCI 218 with a grade of "C" or better | 4 credits |
Minimum Credits Needed to Graduate:
19For More Information, Contact:
The Computer Technologies Dept., Room C3-1, 1700 Spring Garden Street, Philadelphia, PA. 19130. Telephone (215) 496-6134; or call the College Information Center (215) 751-8010.