Program Curriculum

Program Curriculum

Minor Requirements

Data Science is being applied to several industries such as health care, finance, management, and others that are discovering insights from big data through data science that help business to make strategic decisions. That`s why our students that are majoring in domains such as business, computer science, and chemistry will benefit from Data Science Minor. Students will have opportunity to explore the use of data science, gain related skills and work with data in their major domain of study.

Courses for Minor in Data Science

Course Credits
BA-287 Introduction to Business Analytics 3 (no pre-req)
DS-210 Introduction to Data Science 3 (no pre-req)
CS-330 Data Structures and Algorithms using Python 3 (no pre-req)
DS-340 SQL Programming 3 (DS-210 pre-req)
CS-any Elective at the 300-level or Above*
3
DS-any Elective at the 300-level or Above* 3
Total Credits 18

*cannot be double counted

For further information: dsinstitute@saintpeters.edu or gbizel@saintpeters.edu

Major Requirements

The Data Science program provides students with the analytical and quantitative skills that are needed for a variety of careers that are growing at a fast pace. A data scientist creates new processes for data modeling, algorithms, predictive models, and custom analysis. The information they extract helps businesses and organizations solve complex problems. Data Science is a field that has numerous applications in many career areas including the sciences, business, engineering, health sciences, social sciences, and even the music industry.

Category-Wise Credit Distribution

Category Credits
University Core 45
Program Major Requirements 57
Open Elective 18
Total Credits 120

University Core – 45 credits

Data Science program students should take MA-106 – Introduction to Probability and Statistics as a part of the university core to fulfill the prerequisites of the major core requirements.

Section No. Course Code Course Title Credits
1 BA-155 Principles of Marketing 3
2 BA-151 Principles of Management 3
3 BA-287 Introduction to Business Analytics 3
4 MA-212 Elementary Statistics 3
5 MA-222 Intermediate Statistics 3
6 MA-247 Linear Algebra 3
7 CS-271 Decision Support Systems 3
8 CS-260 Information Technology Ethics 3
9 CS-241 Python Programming for Computer Scientists 3
10 CS-190 Secure Software Development 3
11 CS-330 Data Structures and Algorithms using Python 3
12 IS-380 Database and Data Administration 3
13 DS-210 Introduction to Data Science 3
14 DS-310 Principles of Data Mining 3
15 DS-340 SQL Programming 3
16 DS-399 Major Capstone Project 3
17 Elective Major Elective 3
18 Elective Major Elective 3
19 Elective Major Elective 3

Choose Any Three Electives

Section No. Course Code Course Title
1 DS-370 Big Data Analytics
2 CS-177 Introduction to Computer Science and Cybersecurity
3 IS-410 Total Business Information Systems with AI using Watson
4 CS-346 Machine Learning
5 CS-470 Introduction to Artificial Intelligence
6 DS-330 Cloud Computing Eco-Systems
7 DS-445 Blockchain Technology
8 DS-450 Data Law Ethics and Business Intelligence.
9 DS-483 Data Structures & Algorithms.
10 EC-300 Statistics for Business & Economics
11 MA-338 Regression Analysis

CS-330 Data Structures and Algorithms using Pytho