Program Curriculum
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.Major Requirements- 57 credits
Course Code | Course Title | Credits |
BA-155 | Principles of Marketing | 3 |
BA-151 | Principles of Management | 3 |
BA-287 | Introduction to Business Analytics | 3 |
MA-212 | Elementary Statistics | 3 |
MA-222 | Intermediate Statistics | 3 |
MA-247 | Linear Algebra | 3 |
CS-271 | Decision Support Systems | 3 |
CS-260 | Information Technology Ethics | 3 |
CS-241 | Python Programming for Computer Scientists | 3 |
CS-330 OR CS-340 | Data Structures and Algorithms Using Python | 3 |
CS-190 OR CS-337 | Secure Software Development | 3 |
IS-380 OR CS-470 | Database and Data Administration | 3 |
DS-210 | Introduction to Data Science | 3 |
DS-310 | Principles of Data Mining | 3 |
DS-340 | SQL Programming | 3 |
DS-399 | Major Capstone Project | 3 |
Elective | Major Elective | 3 |
Elective | Major Elective | 3 |
Elective | Major Elective | 3 |
Choose Any Three Electives
Course Code | Course Title | Credits |
DS-370 | Big Data Analytics | 3 |
CS-177 | Introduction to Computer Science and Cybersecurity | 3 |
IS-410 | Total Business Information Systems with AI using Watson | 3 |
CS-346 | Machine Learning | 3 |
CS-470 | Introduction to Artificial Intelligence | 3 |
DS-330 | Cloud Computing Eco-Systems | 3 |
DS-445 | Blockchain Technology | 3 |
DS-450 | Data Law Ethics and Business Intelligence. | 3 |
DS-483 | Data Structures & Algorithms | 3 |
EC-300 | Statistics for Business & Economics | 3 |
MA-338 | Regression Analysis | 3 |
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) |
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
Customize Your Degree with a Specialized Focus
The B.S. in Data Science and Artificial Intelligence at Saint Peter’s University offers 18 open elective credits, giving you the flexibility to tailor your education to your interests and career goals. Whether you’re passionate about Political Science, International Business, Healthcare Management, or another field, you can use these electives to build a concentration that complements your data science training and opens doors to specialized industries.
Accounting | This minor track is designed to provide Data Science majors with foundational and applied knowledge in accounting. Students will learn core principles of financial reporting, managerial accounting, and taxation—all of which are increasingly data-driven fields. By integrating accounting with data science, students can pursue careers in financial analytics, forensic accounting, auditing technology, and other emerging intersections of tech and finance. Courses:
|
Political Science | The Political Science minor track introduces Data Science majors to the structures, theories, and functions of government and global politics, while equipping them with the methodological tools to analyze public policy, civic trends, and political behavior. By combining political science and data analytics, students will be uniquely positioned to inform policy decisions, forecast electoral outcomes, and support advocacy through evidence-based strategies. Courses:
|
Healthcare Management | The Healthcare Management minor provides Data Science majors with insights into healthcare systems, policies, and financial management. This interdisciplinary approach prepares students for roles in health informatics, policy analysis, and healthcare operations. Courses:
|
Criminal Justice | This minor track provides Data Science majors with a structured and interdisciplinary understanding of the American criminal justice system. Through the study of criminology, law, corrections, and criminal procedure, students will gain the foundational knowledge to analyze patterns in crime, develop predictive models, and support public safety and justice reform efforts through data-driven insights. Courses:
|
International Business | The International Business minor introduces Data Science majors to global business practices, cross-cultural management, and international market analysis. This combination is ideal for students aiming to apply data analytics in a global business context. Courses:
|
Business Management | The Business Management minor equips Data Science majors with foundational knowledge in organizational operations, leadership, and strategic decision-making. This combination prepares students for roles that require both analytical prowess and managerial insight. Courses:
|