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)
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
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