The University of Virginia's Internship Placement Program (IPP) connects undergraduate students with tailored professional internships. This program is designed to build on students' academic knowledge and provide hands-on experience in a variety of professional settings. Our approach ensures that students gain valuable work experience and develop crucial skills and insights into their career goals, interests, values, and talents. The program is overseen by the UVA Career Center and IPP faculty instructors, ensuring the quality of the internship experience. Internship placements can be virtual, hybrid, or in-person (Charlottesville, VA). Interns are interested in research, archival, policy and legal projects. All interns complete 10 hours per week over 15 weeks during their internship. The UVA Internship Placement Program begins with intern recruitment, selection, and preliminary matching to ensure partners receive the best possible intern for consideration. Private, public, non-profit, start-up, and community organizations across a diverse range of industries are represented in the IPP. Organizations must meet the following criteria to participate: Provide a project that fits the time requirements: 10 hours/week for 15 weeks (January to April) For in-person internships, offer interns a professional workspace that is not a home business location Consist of a staff of at least three members (start-up founders are encouraged to apply if all other criteria can be met) Appoint a supervisor to support the internship experience and fulfill program requirements Develop an internship learning plan with intern at the beginning of the internship  Complete the IPP performance evaluation process  Adhere to internship guidelines and requirements as dictated by the Department of Labor Fair Labor Standards Act Participate in Supervisor Orientation prior to the start of your first internship session If your project meets the minimum requirements, a Riipen UVA Admin team member will be in touch to schedule a 30-minute screening call. Once your project is screened, you will be invited to meet with a member of the UVA IPP team and requested to complete the intake form before being matched to a student.

Environmental sustainability projects for UVA Engineering students. Submit a project here for our team to review. Once approved, learners are not guaranteed yet, but they will apply to your project directly. You will have a chance to review, assess, and accept applications. Projects can be done individually or in teams of students. Learners are looking to gain experience and provide impact on environmental projects. Projects can include but are not limited to:  sustainability strategy training and education conservation research resource management advocacy green product management communications data analytics digital marketing Please be specific in your project description about the skills you're looking for in order to attract the most suitable applicants.

Digital tech projects for US employers in January 2025.  The University of Virginia is an iconic public institution of higher education, boasting nationally ranked schools and programs. Tap into top student talent for your web development, cybersecurity, data analytics, and UX/UI projects to kick-start 2025.   Submit a project here for our team to review. Submit a project here for our team to review.  Once approved, you will be matched with a team of 4 participants. Projects should start the first week of January (by January 6) and must be completed within 4 weeks.

The University of Virginia  School of Data Science  seeks proposals from academic, commercial, healthcare, nonprofit, and government organizations interested in sponsoring student capstone projects. Capstones are consulting projects that allow students to gain real-world experience in analysis, machine learning, and data engineering. Sponsors are vital partners in these projects, providing a clear objective, data sets, guidance, and orientation to the teams. Capstone projects allow sponsors to explore critical business questions while contributing to the development of the data science workforce. Capstone projects challenge UVA Data Science students to explore, integrate and analyze data to solve real-world problems. Each team of 3-5 students is advised by a faculty member who has experience in the techniques and data types specific to the project. This collaborative model, delivered in partnership with Riipen, supports employers to build their talent pipeline, tackle immediate business challenges, expand their capabilities, and enhance their brand presence. Each capstone cycle runs for two semesters, where the first semester typically has students holding discovery meetings with the sponsor and faculty mentor, forming a project plan, onboarding, and reviewing the data. The second semester has students getting into high gear on the project. If you have a bigger project that requires two full semesters of work, you can indicate this here. All members of the project teams will have completed courses in computational methods for data science, machine learning, and exploratory data analysis, and will possess skills in programming in R and Python. During the program, students also learn feature engineering, data cleaning and wrangling, deep learning, data ethics, project management, team building, technical writing, and oral communication. UVA policies state that student work performed in a class or capstone is the intellectual property of the learner , not the university or the sponsor.  Sponsors wishing to modify these terms must request that learners sign an IP agreement.  The University can not assign IP it does not own. Sponsors wishing to ask students to sign over IP must provide the agreement language by the contract review deadline. If you have questions or need help drafting your project content, please review our FAQs or email us at DataCapstones@virginia.edu.

The University of Virginia's Internship Placement Program (IPP) connects undergraduate students with tailored professional internships. This program is designed to build on students' academic knowledge and provide hands-on experience in a variety of professional settings. Our approach ensures that students not only gain valuable work experience but also develop crucial skills and insights into their career goals, interests, values, and talents. The program is overseen by the UVA Career Center and IPP faculty instructors, ensuring the quality of the internship experience. Internship placements can be virtual, hybrid, or in-person (Charlottesville, VA). Interns are interested in tech, UX/UI design, and cybersecurity projects. All interns complete 10 hours per week over 15 weeks during their internship.

The University of Virginia’s PhD Plus Consulting Program , led by Dr. Brendan Boler, is designed to equip PhD students and Postdocs with the essential knowledge, skills, and confidence required for a successful career in consulting. Participants in this course master a hypothesis-driven structured problem-solving approach, and develop proficiency in data analytics using Excel and storytelling using PowerPoint. Our learners are advanced PhD students and postdoctoral researchers who bring a high level of analytical ability, critical thinking, and academic rigor to their work. They are eager to apply their skills to real-world consulting projects, gaining hands-on experience that will be invaluable for their professional development. The aim of this collaboration is to provide students with practical experience while offering employers fresh perspectives and innovative solutions to their business challenges.

The University of Virginia School of Data Science seeks proposals from academic, commercial, healthcare, nonprofit, and government organizations interested in sponsoring student capstone projects. Capstones are consulting projects that allow students to gain real-world experience in analysis, machine learning, and data engineering. Sponsors are vital partners in these projects, providing a clear objective, data sets, guidance, and orientation to the teams. Capstone projects allow sponsors to explore critical business questions while contributing to the development of the data science workforce. Capstone projects challenge UVA Data Science students to explore, integrate and analyze data to solve real-world problems. Each team of 3-5 students is advised by a faculty member who has experience in the techniques and data types specific to the project. All members of the project teams will have completed courses in computational methods for data science, machine learning, and exploratory data analysis, and will possess skills in programming in R and Python. During the program, students also learn feature engineering, data cleaning and wrangling, deep learning, data ethics, project management, team building, technical writing, and oral communication.

The University of Virginia's Internship Placement Program (IPP) connects undergraduate students with tailored professional internships. This program is designed to build on students' academic knowledge and provide hands-on experience in a variety of professional settings. Our approach ensures that students not only gain valuable work experience but also develop crucial skills and insights into their career goals, interests, values, and talents. The program is overseen by the UVA Career Center and IPP faculty instructors, ensuring the quality of the internship experience. Internship placements can be virtual, hybrid, or in-person (Charlottesville, VA). Interns are interested in tech, UX/UI design, and cybersecurity projects. All interns complete 10 hours per week over 15 weeks during their internship.