Academic Catalog 2024-2025

Slippery Rock University

Computing, Bachelor of Science (BS) - Concentration in Computing Analytics

Program Learning Outcomes

  • Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions (UWO#2) 
  • Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline (UWO#2) 
  • Communicate effectively in a variety of professional contexts (UWO#1) 
  • Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles (UWO#8, 10) 
  • Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline (UWO#1) 

Related Links

Computing - Computing Analytics, BS Flowchart

Computing - Computing Analytics, BS Program Page

Professional Licensure/Certification Page

Curriculum Guide

GPA Requirement

Major GPA: 2.0 or higher
Overall GPA: 2.0 or higher

Summary*

Rock Studies 2 Requirements42-43
Other Basic Requirements0-3
Major/Concentration Requirements54
Electives23-24

* All undergraduate degree programs require a minimum of 120 credits.  Some courses meet multiple requirements, but are only counted once toward the 120 credit total required to graduate.

Rock Studies 2 Requirements

The Rock
SUBJ 139Foundations of Academic Discovery 13
ENGL 102Critical Writing3
ENGL 104Critical Reading3
Select one of the following:3-4
Precalculus
Calculus I
Calculus II
Calculus III
Elementary Statistics I
Select one of the following:3
Civil Discourse: Theory & Practice
Ethics and Civil Discourse
Civil Discourse and Democracy
Subtotal15-16
Integrated Inquiry
Creative and Aesthetic Inquiry
Select 3 Credits3
Humanities Inquiry
Select 3 Credits3
Social Science Inquiry
Select 3 Credits3
Natural Sciences Inquiry
SCI 101Science of Life3
Physical Science Inquiry
SCI 102Understanding the Physical World3
Subtotal15
Thematic Thread
Select 12 Credits 212
Total Hours42-43
1

Course offered in multiple subjects; cannot take course in first major subject

2

One course from each category; six credits must be 300-level or above; no more than 4 credits from one subject area; specific courses required in first major, regardless of prefix of course, cannot be used to satisfy thread requirements; any course with same prefix as first major cannot be used to satisfy thread requirements, even if it is not a course in the first major.

Basic Math Requirement

Check with your adviser or a current degree audit report to see if you have been exempted from this course. The credit earned in this course will not be counted toward the 120 credit hour minimum needed to earn a degree.

Complete one of the following:0-3
Meet required minimum SAT or ACT math score OR
Beginning Algebra
Total Hours0-3

DIVERSITY,  EQUITY,  AND INCLUSION REQUIREMENT

Students must take and pass a course with the Diversity, Equity, and Inclusion (DEI) designation prior to graduation.  Students can meet this requirement by taking any DEI - designated course in any program at any time during their undergraduate career. 

Major/Concentration Requirements

  • 27 major credits must be taken at SRU or PASSHE
  • 27 major credits must be taken at the 300 level or above
Required Core Courses
CPSC 130Introduction to Computing and Programming 13
CPSC 146Programming Principles 13
CPSC 207Shell Commands and Scripting 13
CPSC 300Challenges of Computer Technology 13
CPSC 311Discrete Computational Structures 13
CPSC 323Fundamentals of Database Systems 13
CPSC 423Computer Networks 13
STAT 152Elementary Statistics I 13
Subtotal24
Computing Analytics Core Courses
CPSC 236Selected Computer Languages (the student is required to take CPSC 236: Selected Languages: Python) 13
CPSC 246Advanced Programming Principles 13
CPSC 370Computer Organization and Architecture3
CPSC 374Algorithms and Data Structures 13
CPSC 405Data Mining and Data Analysis 13
CPSC 474Advanced Architecture & Parallel Computing3
CPSC 480Topics in Computer Science: Machine Learning 13
CPSC 485Big Data Analytics 13
Subtotal24
Computer Science Electives
Choose two from the following:6
Calculus I
Data Visualization 1
Internship 1
Introduction to Computer Graphics 1
Artificial Intelligence 1
Analysis of Algorithms 1
Subtotal6
Total Hours54
1

Course counts for 50% of Major requirements and Major GPA

*

Some courses may require pre-requisites. Please see course descriptions to determine if there are any pre-requisites for that specific course.

Co-curricular and Experiential Learning

Students are encouraged to explore additional curricular and co-curricular opportunities. There is a strong correlation between long-term student success and participation in the following types of programs and activities:

  1. High-Impact Practice (HIP) designated classes (Learning Community, Capstone Course, Semester Projects)
  2. Student-faculty research
  3. Service Learning Courses
  4. Internships
  5. Volunteering (Summer Day Camps, Semester Workshops for K-12 students, Robot demos for visitors/local school districts)
  6. Industry Awareness Night

Important Curriculum Guide Notes

This Curriculum Guide is provided to help SRU students and prospective students better understand their intended major curriculum. Enrolled SRU students should note that the My Rock Audit may place already-earned and/or in progress courses in different, yet valid, curriculum categories. Enrolled SRU students should use the My Rock Audit Report and materials and information provided by their faculty advisers to ensure accurate progress towards degree completion. The information on this guide is current as of the date listed. Students are responsible for curriculum requirements at the time of enrollment at the University.

PASSHE - Pennsylvania State System of Higher Education Institutions

COMPUTING - BS (6420)
Concentration in Computing Analytics (COAN)
This program is effective as of Summer 2024
Revised 01.02.2024
UCC 11.28.2023

Recommended Four-Year Plan

Plan of Study Grid
First Year
FallHours
CPSC 130 Introduction to Computing and Programming 3
ENGL 102 Critical Writing 3
ESAP 101 FYRST Seminar * 1
MATH 120
Intermediate Algebra
or Science of Life
3
SUBJ 139Foundations of Academic Discovery 1 3
Creative & Aesthetic Inquiry 3
 Hours16
Spring
CPSC 146 Programming Principles 3
Select one of the following: 3-4
Precalculus
Calculus I
Calculus II
Calculus III
Elementary Statistics I
ENGL 104 Critical Reading 3
Select one of the following: 3
Civil Discourse: Theory & Practice
Ethics and Civil Discourse
Civil Discourse and Democracy
Social Science Inquiry 3
 Hours15-16
Second Year
Fall
CPSC 207 Shell Commands and Scripting 3
CPSC 246 Advanced Programming Principles 3
STAT 152 Elementary Statistics I 3
SCI 101 Science of Life (or CA Elective) 3
Computer Analytics Electives or Free Electives 3
Declare a Thematic Thread 2
 Hours15
Spring
CPSC 323 Fundamentals of Database Systems 3
CPSC 370 Computer Organization and Architecture 3
SCI 102 Understanding the Physical World 3
Humanities Inquiry 3
Computer Analytics Electives or Free Electives 3
 Hours15
Third Year
Fall
CPSC 311 Discrete Computational Structures 3
CPSC 300 Challenges of Computer Technology 3
CPSC 405 Data Mining and Data Analysis 3
Thematic Thread Requirement 3
Computer Analytics Electives or Free Electives 3
 Hours15
Spring
CPSC 327 Administration and Security 3
CPSC 374 Algorithms and Data Structures 3
hematic Thread Requirement 3
Computer Analytics Electives or Free Electives 3
Computer Analytics Electives or Free Electives 3
 Hours15
Fourth Year
Fall
CPSC 423 Computer Networks 3
CPSC 474 Advanced Architecture & Parallel Computing 3
CPSC 480 Topics in Computer Science: Machine Learning 3
Thematic Thread Requirement 3
Computer Analytics Elective or Free Elective 3
 Hours15
Spring
CPSC 485 Big Data Analytics 3
Thematic Thread Requirement 3
Computer Analytics Electives or Free Electives 4
Computer Analytics Electives or Free Electives 3
 Hours13
 Total Hours**119-120
1

Course offered in multiple subjects; cannot take course in first major subject.

2

Work with your Academic Adviser to declare a Thematic Thread by the end of your fall semester in your second year. 

*

Students are encouraged to take ESAP 101 as a Free Elective.

Computer Analytics Elective Courses

Select six credits of the following:6
Data Visualization
Internship 1
Introduction to Computer Graphics
Artificial Intelligence
Analysis of Algorithms
Calculus I
1

Jr. or Sr. Computing major with 3.0 GPA. Application required.

2

Work with your Academic Adviser to declare a Thematic Thread by the end of your fall semester in your second year.

** This document is meant to serve as a guide. Some planners may show more than 120 credits because faculty have created flexibility in choosing courses.  However, only 120 credits are required to obtain a degree. Please consult with your academic adviser and refer to your curriculum guide prior to registering for courses. This plan should be reviewed, and verified, by you and your academic adviser at least once each academic year. 

Major Code: 6420
Concentration Code: COAN
Revised date: 06.10.2022