{"id":55,"date":"2023-01-06T00:07:57","date_gmt":"2023-01-06T00:07:57","guid":{"rendered":"https:\/\/www.saintpeters.edu\/academics\/undergraduate-programs\/data-science\/?page_id=55"},"modified":"2026-06-16T18:27:08","modified_gmt":"2026-06-16T18:27:08","slug":"program-curriculum","status":"publish","type":"page","link":"https:\/\/www.saintpeters.edu\/academics\/undergraduate-programs\/data-science-and-artificial-intelligence\/program-curriculum\/","title":{"rendered":"Program Curriculum"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tMajor Requirements<\/span>\n

The Data Science and Artificial Intelligence 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 and Artificial Intelligence 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.<\/p>\n

Category-Wise Credit Distribution<\/span><\/p>\n\n\n\n\n\n\n\n\n
Category<\/strong><\/td>\nCredits<\/strong><\/td>\n<\/tr>\n
University Core<\/td>\n45<\/td>\n<\/tr>\n
Program Major Requirements<\/td>\n57<\/td>\n<\/tr>\n
Open Elective<\/td>\n18<\/td>\n<\/tr>\n
Total Credits<\/strong><\/td>\n120<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

University Core – 45 credits<\/h4>\nData Science and Artificial Intelligence program students should take MA-106 \u2013 Introduction to Probability and Statistics as a part of the university core to fulfill the prerequisites of the major core requirements.\n

Major Requirements- 57 credits<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Course Code<\/strong><\/td>\nCourse Title<\/strong><\/td>\nCredits<\/strong><\/td>\n<\/tr>\n
BA-287<\/td>\nIntroduction to Business Analytics<\/td>\n3<\/td>\n<\/tr>\n
MA-212<\/td>\nElementary Statistics<\/td>\n3<\/td>\n<\/tr>\n
MA-222<\/td>\nIntermediate Statistics<\/td>\n3<\/td>\n<\/tr>\n
MA-247<\/td>\nLinear Algebra<\/td>\n3<\/td>\n<\/tr>\n
CS-271<\/td>\nDecision Support Systems<\/td>\n3<\/td>\n<\/tr>\n
CS-260<\/td>\nInformation Technology Ethics<\/td>\n3<\/td>\n<\/tr>\n
CS-241<\/td>\nPython Programming for Computer Scientists<\/td>\n3<\/td>\n<\/tr>\n
CS-330 OR CS-340<\/td>\nData Structures and Algorithms Using Python<\/td>\n3<\/td>\n<\/tr>\n
CS-190 OR CS-337<\/td>\nSecure Software Development<\/td>\n3<\/td>\n<\/tr>\n
DS-210<\/td>\nIntroduction to Data Science and Artificial Intelligence<\/td>\n3<\/td>\n<\/tr>\n
DS-310<\/td>\nPrinciples of Data Mining<\/td>\n3<\/td>\n<\/tr>\n
DS-340<\/td>\nSQL Programming<\/td>\n3<\/td>\n<\/tr>\n
DS-399<\/td>\nMajor Capstone Project<\/td>\n3<\/td>\n<\/tr>\n
Elective<\/td>\nMajor Elective<\/td>\n3<\/td>\n<\/tr>\n
Elective<\/td>\nMajor Elective<\/td>\n3<\/td>\n<\/tr>\n
Elective<\/td>\nMajor Elective<\/td>\n3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Choose Any Three Electives<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Course Code<\/strong><\/td>\nCourse Title<\/strong><\/td>\nCredits<\/strong><\/td>\n<\/tr>\n
DS-370<\/td>\nBig Data Analytics<\/td>\n3<\/td>\n<\/tr>\n
CS-177<\/td>\nIntroduction to Computer Science and Cybersecurity<\/td>\n3<\/td>\n<\/tr>\n
IS-410<\/td>\nTotal Business Information Systems with AI using Watson<\/td>\n3<\/td>\n<\/tr>\n
CS-346<\/td>\nMachine Learning<\/td>\n3<\/td>\n<\/tr>\n
CS-470<\/td>\nIntroduction to Artificial Intelligence<\/td>\n3<\/td>\n<\/tr>\n
DS-330<\/strong><\/td>\nCloud Computing Eco-Systems<\/td>\n3<\/td>\n<\/tr>\n
DS-445<\/td>\nBlockchain Technology<\/td>\n3<\/td>\n<\/tr>\n
DS-450<\/td>\nData Law Ethics and Business Intelligence.<\/td>\n3<\/td>\n<\/tr>\n
DS-483<\/td>\nData Structures & Algorithms<\/td>\n3<\/td>\n<\/tr>\n
EC-300<\/td>\nStatistics for Business & Economics<\/td>\n3<\/td>\n<\/tr>\n
MA-338<\/td>\nRegression Analysis<\/td>\n3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Minor Requirements<\/span><\/h4>

Data Science and Artificial Intelligence is being applied to several industries such as health care, finance, management, and others that are discovering insights from big\u00a0<\/span>data through data science and artificial intelligence that help business to make strategic decisions. <\/span>That`s why our students that are majoring in domains such as business,\u00a0<\/span>computer science, and chemistry will benefit from the Data Science and Artificial Intelligence Minor. <\/span>Students will have opportunity to explore the use of data science and artificial intelligence, gain <\/span>related skills and work with data in their major domain of study.<\/span><\/p>

Courses for Minor in Data Science and Artificial Intelligence<\/h4>
Course<\/th>Credits<\/th><\/tr><\/thead>
BA-287 Introduction to Business Analytics<\/td>3 (no pre-req)<\/td><\/tr>
DS-210 Introduction to Data Science and Artificial Intelligence<\/td>3 (no pre-req)<\/td><\/tr>
DS-340 SQL Programming<\/td>3 (DS-210 pre-req)<\/td><\/tr>
CS-any Elective at the 300-level or Above*<\/td>3<\/td><\/tr>
DS-any Elective at the 300-level or Above*<\/td>3<\/td><\/tr>
Total Credits<\/strong><\/td>18<\/strong><\/td><\/tr><\/tbody><\/table><\/div>

*cannot be double counted<\/p>

For further information: dsinstitute@saintpeters.edu<\/a> or gbizel@saintpeters.edu
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Customize Your Degree with a Specialized Focus<\/span><\/h4>

The B.S. in Data Science and Artificial Intelligence at Saint Peter\u2019s 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.<\/p>

Accounting<\/strong><\/td>

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\u2014all 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.<\/p>

Courses:<\/strong><\/p>

  • AC-151 Principles of Accounting I<\/li>
  • AC-152 Principles of Accounting II<\/li>
  • AC-331 Intermediate Accounting Theory I<\/li>
  • AC-332 Intermediate Accounting Theory II<\/li>
  • AC Electives (6 credits)<\/li><\/ul><\/td><\/tr>
Political Science<\/strong><\/td>

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.<\/p>

Courses:<\/strong><\/p>

  • PO-100 Perspectives on Politics<\/li>
  • PO-200 Research Methods and Social Impact<\/li>
  • PO-201 American Government<\/li>
  • Three Political Science Electives (9 credits)<\/li><\/ul><\/td><\/tr>
Healthcare Management<\/strong><\/td>

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.<\/p>

Courses:<\/strong><\/p>

  • HM-210 Health Care Issues and Organization<\/li>
  • HM-310 Budgeting & Financing in Healthcare Industry<\/li>
  • BA-151 Principles of Management<\/li>
  • BA-155 Principles of Marketing<\/li>
  • Healthcare Management Elective<\/li>
  • Business Administration Elective<\/li><\/ul><\/td><\/tr>
Criminal Justice<\/strong><\/td>

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.<\/p>

Courses:<\/strong><\/p>

  • CJ-165 Introduction to Criminology<\/li>
  • CJ-170 Introduction to Criminal Justice<\/li>
  • CJ-285 Criminal Corrections Systems<\/li>
  • CJ-315 Criminal Procedure<\/li>
  • CJ-390 Criminal Law<\/li>
  • CJ Elective<\/li><\/ul><\/td><\/tr>
International Business<\/strong><\/td>

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.<\/p>

Courses:<\/strong><\/p>

  • BA-151 Principles of Management<\/li>
  • BA-155 Principles of Marketing<\/li>
  • BA-246 Export Management<\/li>
  • BA-347 International Management<\/li>
  • Business Administration Elective<\/li>
  • Business Administration Elective at the 300-level or Above<\/li><\/ul><\/td><\/tr>
Business Management<\/strong><\/td>

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.<\/p>

Courses:<\/strong><\/p>

  • BA-151 Principles of Management<\/li>
  • BA-155 Principles of Marketing<\/li>
  • BA-240 Organizational Behavior<\/li>
  • BA-282 Leadership<\/li>
  • BA Elective (any BA course)<\/li>
  • BA Elective at the 300-level or Above<\/li><\/ul><\/td><\/tr><\/tbody><\/table><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

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