Course Overview

Students are exposed to different technical capabilities and speakers to understand the width and breadth of data science and data analytics in the workforce.

During this STEM course, students will have two weeks of technical work that will include install R, R Studio, Python, and a number of other programs on their computer as well as learning simple commands in their IDEs. After the technical sessions, we will move on to a number of speaker series from industry professionals who will introduce the students to the scope of careers they can perform with a background in data.

All students who successfully complete the course will receive a Certificate of Completion and have the opportunity to request a Syracuse University noncredit transcript.

Course Objectives

  • Essential concepts and characteristics of data
  • Understanding what data is and how it applies to the work you do
  • Purpose of scripting and data management with R and R Studio
  • Understanding why and how we use these programs
  • The importance of clear communication of results to decision makers

Course Information

Course Prefix and Number: SCN 093

Format: Online

Eligibility: Students must be of rising high school sophomore, junior, or senior status – or a 2022 high school graduate. 

Credit: Noncredit

Grading: Pass/Fail

Cost: $2,500
Program rates are subject to change and will be approved by the board of trustees. Discounts and scholarships are also available.

Program Information

Summer College – Online: Explore college life before stepping foot on campus! High school students can enroll in a college-level course, pursue their academic interests, and meet like-minded students in daily virtual events and activities.

“The Syracuse University Summer College will undoubtedly contribute to my future success in life.”

— Nicholas C., Summer College – Online Student, 2021

Course Dates and Details

ProgramCourse DatesSynchronous Class Time (Eastern Time)Credit/NoncreditStatus
Summer College -Online6-Week Session: Tuesday, July 5 – Thursday, August 11, 2022TTH;
4:30-6 p.m.
Class times subject to change.

Course Requirements

Technology Requirements

  • Laptop or desktop computer with a webcam
  • Reliable internet access
  • A space conducive to taking an online class (without distractions)

Required Supplies

Students should budget for required textbooks and supplies. A supply and textbook listing will be sent to students before the start of the program.

Typical Day

Tentative Schedule

Students are required to attend all synchronous classes from 4:30pm-6pm ET.

When class is over, and on weekends, students can look forward to various Summer College virtual activities to meet and connect with other students across the world. Check out our Virtual Campus Experience page for more information!

Instructor Bio

Amanda Darcangelo

Amanda is a data engineer for the City of Syracuse as well as an adjunct professor for Syracuse University. She began her interest in data in college at SUNY Buffalo State where she majored in Political Science with a focus in statistics. Since graduation she has worked through the full stack of data science and analytics from data entry through consultancy, startup engineering, financial analytics, and now as a data engineer implementing full scale solutions for a municipality. Her background in political science also gives her the ability to implement large scale data policy including the Surveillance Technology Policy implemented by Mayor Ben Walsh Dec 1, 2020. 

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