Bachelor in Applied Data Analytics

Syracuse University is a private research university in Syracuse, New York, founded in 1870. With around 20,500 students and over 4,300 international students, the campus blends an active student life with strong research and professional networks. Its compact urban setting offers convenient access to cultural venues and internships across the Northeastern United States, while maintaining a welcoming community atmosphere for students from many countries.

Academics at Syracuse cover more than 200 programs across arts and sciences, engineering, business, communications and more, with interdisciplinary opportunities that encourage applied learning. Students work with experienced faculty in well-equipped labs, studios and media centers, and benefit from research projects, co-op placements and study abroad options. The university emphasizes experiential learning, career readiness and leadership development to prepare graduates for global careers.

International students find robust support through orientation, advising, language resources and cultural organizations, plus career services that connect students with employers and alumni. A vibrant campus life includes clubs, athletics and community engagement that help newcomers build networks and confidence. For students seeking a balance of academic rigor, practical experience, and a diverse, close-knit campus, Syracuse offers a supportive environment to grow academically and professionally.

The Bachelor in Applied Data Analytics at Syracuse University is a 4-year program for students who want to work with data. It helps you gain skills in machine learning, artificial intelligence, and programming languages like R and Python.

The curriculum covers big data analytics, data mining, and information visualization. You will learn to gather, analyze, and present data effectively. This program also helps you understand how data is used in society and how to report information clearly.

Graduates can work as Data Analysts, Business Intelligence Developers, Quantitative Analysts, Operations Research Analysts, or Data Scientists. They can work in various industries, including marketing, government, and non-profit organizations.