University at Buffalo School of Engineering and Applied Sciences 39 courses 30 total credits
The Engineering Science MS with a course focus in Data Science offers students a comprehensive education in big data and analysis. Students gain knowledge, expertise, and practical training in various areas, including data collection and management, data analytics, scalable data-driven discovery, and fundamental concepts. The curriculum combines solid theoretical foundations with hands-on training, ensuring graduates are well-prepared to address the analytics needs of employers. Additionally, students can explore diverse application areas, further expanding their understanding of real-world data challenges.
| Total Credits | 30 credits |
Required Core
Electives
Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours. * Max of 3 MGS credits.
Culminating Experience: Exam or Project
| Code | Course Title | Credits |
|---|---|---|
| EAS 560 | Data Science Project | 1-3 |
| EAS 559 | Engineering Science Capstone | 0 |
| Total Culminating Experience: Exam or Project | 0-3 credits | |
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