Robotics: Vision Intelligence and Machine Learning

The University of Pennsylvania, founded in 1740 and located in Philadelphia, is an Ivy League research university known for combining rigorous scholarship with practical, interdisciplinary education. With roughly 28,038 students and 6,392 international students, Penn offers a diverse, global campus community and 216 programs spanning liberal arts, engineering, business, medicine, and design. The university emphasizes translational research and social impact, encouraging students to apply ideas across sectors through centers, labs, and community partnerships.

Penn’s compact urban campus places students close to museums, startups, hospitals, and cultural venues, creating abundant experiential learning opportunities. International students benefit from comprehensive support services, including orientation, visa advising, language assistance, and career coaching tailored to global job searches. Collaborative initiatives like integrated dual-degree options and project-based courses help students build multidisciplinary skills and professional networks across the Philadelphia region and beyond.

Admissions are competitive; applicants should prepare strong academic records, meaningful extracurricular engagements, and clear statements of purpose reflecting interdisciplinary interests. Financial aid and fellowships are available for qualifying students, and many graduate programs offer research assistantships. Graduates routinely enter top firms, academic careers, public service, or entrepreneurial ventures. For international students seeking a research-intensive environment with practical connections to industry and community, Penn offers a well-resourced, globally connected setting to advance academic and professional goals.

The Robotics: Vision Intelligence and Machine Learning program is a 1-week non-degree course for pre-high school students. It's taught in English at the University of Pennsylvania. This program introduces students to the world of robotics and artificial intelligence.

The curriculum covers vision intelligence and machine learning, where students learn to program robots to perceive and understand their environment. They develop skills in computer vision, machine learning, and programming, and work on projects that help them apply these skills to real-world problems.

After completing this program, students can pursue careers as Computer Vision Engineer, Machine Learning Engineer, or Robotics Engineer. They can work in industries like technology, automotive, or gaming, and for employers such as tech companies or research labs.