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.<\/p>
Category-Wise Credit Distribution<\/span><\/p>
Category<\/strong><\/td>
Credits<\/strong><\/td><\/tr>
University Core<\/td>
45<\/td><\/tr>
Program Major Requirements<\/td>
57<\/td><\/tr>
Open Elective<\/td>
18<\/td><\/tr>
Total Credits<\/strong><\/td>
120<\/strong><\/td><\/tr><\/tbody><\/table>
University Core – 45 credits<\/h4>
Data Science 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.<\/p>
Major Requirements- 57 credits<\/h4>
Course Code<\/strong><\/td>
Course Title<\/strong><\/td>
Credits<\/strong><\/td><\/tr>
BA-155<\/td>
Principles of Marketing<\/td>
3<\/td><\/tr>
BA-151<\/td>
Principles of Management<\/td>
3<\/td><\/tr>
BA-287<\/td>
Introduction to Business Analytics<\/td>
3<\/td><\/tr>
MA-212<\/td>
Elementary Statistics<\/td>
3<\/td><\/tr>
MA-222<\/td>
Intermediate Statistics<\/td>
3<\/td><\/tr>
MA-247<\/td>
Linear Algebra<\/td>
3<\/td><\/tr>
CS-271<\/td>
Decision Support Systems<\/td>
3<\/td><\/tr>
CS-260<\/td>
Information Technology Ethics<\/td>
3<\/td><\/tr>
CS-241<\/td>
Python Programming for Computer Scientists<\/td>
3<\/td><\/tr>
CS-330 OR CS-340<\/td>
Data Structures and Algorithms Using Python<\/td>
3<\/td><\/tr>
CS-190 OR CS-337<\/td>
Secure Software Development<\/td>
3<\/td><\/tr>
IS-380 OR CS-470<\/td>
Database and Data Administration<\/td>
3<\/td><\/tr>
DS-210<\/td>
Introduction to Data Science and Artificial Intelligence<\/td>
3<\/td><\/tr>
DS-310<\/td>
Principles of Data Mining<\/td>
3<\/td><\/tr>
DS-340<\/td>
SQL Programming<\/td>
3<\/td><\/tr>
DS-399<\/td>
Major Capstone Project<\/td>
3<\/td><\/tr>
Elective<\/td>
Major Elective<\/td>
3<\/td><\/tr>
Elective<\/td>
Major Elective<\/td>
3<\/td><\/tr>
Elective<\/td>
Major Elective<\/td>
3<\/td><\/tr><\/tbody><\/table>
Choose Any Three Electives<\/h4>
Course Code<\/strong><\/td>
Course Title<\/strong><\/td>
Credits<\/strong><\/td><\/tr>
DS-370<\/td>
Big Data Analytics<\/td>
3<\/td><\/tr>
CS-177<\/td>
Introduction to Computer Science and Cybersecurity<\/td>
3<\/td><\/tr>
IS-410<\/td>
Total Business Information Systems with AI using Watson<\/td>
Data Science is being applied to several industries such as health care,\u00a0finance, management, and others that are discovering insights from big\u00a0<\/span>data through data science that help business to make strategic decisions.\u00a0<\/span>That`s why our students that are majoring in domains such as business,\u00a0<\/span>computer science, and chemistry will benefit from Data Science Minor.\u00a0<\/span>Students will have opportunity to explore the use of data science, gain\u00a0<\/span>related skills and work with data in their major domain of study.<\/span><\/p>
Courses for Minor in Data Science<\/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>