research-article

Embracing the Liberal Arts in an Interdisciplinary Data Analytics Program

Author:

Jessen HavillAuthors Info & Claims

SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Pages 9 - 14

https://doi.org/10.1145/3287324.3287436

Published: 22 February 2019 Publication History

Abstract

In 2016, we launched an interdisciplinary, undergraduate Data Analytics major that extends the definition of "interdisciplinary" beyond computer science, mathematics, and statistics to the natural and social sciences, humanities, and fine arts. Our program was conceived, and continues to be administered, as an independent academic unit by a Committee of faculty representing ten disciplines. Students majoring in Data Analytics complete four or more mathematics and computer science courses, four project-oriented Data Analytics courses, three to four courses in one of seven applied domains, and a required summer internship. Data Analytics courses are taught by both dedicated Data Analytics faculty and other faculty from the Committee. Partnerships with campus offices, alumni, businesses, and nonprofits have enhanced both coursework and internship opportunities. The major's popularity has exceeded our expectations, and has succeeded in attracting students with a variety of academic interests, many of whom would not have otherwise pursued a computational or quantitative major.

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Cited By

Karki LPriest DDubose JGodfrey ZRothschild AShapiro BDiSalvo BStone JYuen TShoop LRebelsky SPrather J(2025)A Window into DataWorks: Developing an Integrated Work-Training Curriculum for Novice AdultsProceedings of the 56th ACM Technical Symposium on Computer Science Education V. 110.1145/3641554.3701826(568-574)Online publication date: 12-Feb-2025
https://dl.acm.org/doi/10.1145/3641554.3701826
Bhatnagar NCauser VLucci MPry MZilic D(2024)Developing a Data Analytics Practicum CourseInformation Systems Education Journal10.62273/QFMI649122:2(47-69)Online publication date: 2024
https://doi.org/10.62273/QFMI6491
Newhouse KLehman KWofford ASendowski M(2024)Doing and Defining Interdisciplinarity in Undergraduate ComputingACM Transactions on Computing Education10.1145/365467624:3(1-26)Online publication date: 4-Apr-2024
https://dl.acm.org/doi/10.1145/3654676
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Index Terms

Embracing the Liberal Arts in an Interdisciplinary Data Analytics Program
1. Social and professional topics
  1. Professional topics
    1. Computing education

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cover image ACM Conferences

SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education

February 2019

1364 pages

ISBN:9781450358903

DOI:10.1145/3287324

General Chairs:
Elizabeth K. Hawthorne
Union County College, USA
,
Manuel A. Pérez-Quiñones
University of North Carolina at Charlotte, USA
,
Program Chairs:
Sarah Heckman
North Carolina State University, USA
,
Jian Zhang
Texas Woman's University, USA

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGCSE: ACM Special Interest Group on Computer Science Education

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Association for Computing Machinery

New York, NY, United States

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Published: 22 February 2019

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SIGCSE '19: The 50th ACM Technical Symposium on Computer Science Education

February 27 - March 2, 2019

MN, Minneapolis, USA

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SIGCSE '19 Paper Acceptance Rate 169 of 526 submissions, 32%;

Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

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Cited By

Karki LPriest DDubose JGodfrey ZRothschild AShapiro BDiSalvo BStone JYuen TShoop LRebelsky SPrather J(2025)A Window into DataWorks: Developing an Integrated Work-Training Curriculum for Novice AdultsProceedings of the 56th ACM Technical Symposium on Computer Science Education V. 110.1145/3641554.3701826(568-574)Online publication date: 12-Feb-2025
https://dl.acm.org/doi/10.1145/3641554.3701826
Bhatnagar NCauser VLucci MPry MZilic D(2024)Developing a Data Analytics Practicum CourseInformation Systems Education Journal10.62273/QFMI649122:2(47-69)Online publication date: 2024
https://doi.org/10.62273/QFMI6491
Newhouse KLehman KWofford ASendowski M(2024)Doing and Defining Interdisciplinarity in Undergraduate ComputingACM Transactions on Computing Education10.1145/365467624:3(1-26)Online publication date: 4-Apr-2024
https://dl.acm.org/doi/10.1145/3654676
Lee WMoh MKhayrallah RAttar NLam K(2024)WIP: Python for Everyone as a Mathematics GE Course: Broaden Participation and Enhance Data Science Career Pipeline2024 IEEE Frontiers in Education Conference (FIE)10.1109/FIE61694.2024.10892893(1-5)Online publication date: 13-Oct-2024
https://doi.org/10.1109/FIE61694.2024.10892893
Guzdial MEvrard A(2023)Identifying the Computing Education Needs of Liberal Arts and Sciences Students (Discussion Paper)Proceedings of the 23rd Koli Calling International Conference on Computing Education Research10.1145/3631802.3631805(1-7)Online publication date: 13-Nov-2023
https://dl.acm.org/doi/10.1145/3631802.3631805
Hazzan OMike KHazzan OMike K(2023)Data Science for Social Science and Digital Humanities ResearchGuide to Teaching Data Science10.1007/978-3-031-24758-3_19(283-301)Online publication date: 21-Mar-2023
https://doi.org/10.1007/978-3-031-24758-3_19
Lau SNolan DGonzalez JGuo PMerkle LDoyle MSheard JSoh LDorn B(2022)How Computer Science and Statistics Instructors Approach Data Science Pedagogy DifferentlyProceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499384(29-35)Online publication date: 22-Feb-2022
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Teresco JTartaro AHolland-Minkley ABraught GBarnard JBaldwin DMerkle LDoyle MSheard JSoh LDorn B(2022)CS Curricular Innovations with a Liberal Arts PhilosophyProceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499329(537-543)Online publication date: 22-Feb-2022
https://dl.acm.org/doi/10.1145/3478431.3499329
Mike KHazzan O(2022)Interdisciplinary CS1 Course for Non-Majors: The Case of Graduate Psychology Students2022 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON52537.2022.9766516(86-93)Online publication date: 28-Mar-2022
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Hazzan OMike K(2021)A journal for interdisciplinary data science educationCommunications of the ACM10.1145/346928164:8(10-11)Online publication date: 26-Jul-2021
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