This experience is designed for senior undergraduate students completing their capstone internship requirement in a criminal justice undergraduate program at Salem State Univesity in Salem, Massachusetts. They are ready to apply their academic knowledge in real-world settings. Learners have a foundational understanding of law enforcement, court procedures, and correctional systems, and are eager to engage in practical projects that enhance their problem-solving and analytical skills. By collaborating with industry professionals, students can contribute to meaningful projects that address current challenges within criminal justice agencies. While compensation is not required for participation, some partners may choose to offer a stipend or honorarium to support student involvement. To help us better understand the range of opportunities available, we ask whether you are open to providing compensation—though this is entirely optional and will not impact your ability to participate.

This is a First-Year Seminar entitled "Sustainability: Is It Good for Business?" Students will complete their 8-hour Bloomberg Environmental, Social, Governance (ESG) certificates and will cover diffferent sustainability topics in class. The learners are capable of doing research, writing social media posts, etc.

This experience is designed for undergraduate-level learners with a strong foundation in accounting principles. Participants are equipped to apply their knowledge to real-world financial analysis, budgeting, and strategic decision-making projects. Learners will engage in projects that require them to analyze financial statements, assess financial health, and provide actionable insights to improve business performance. This experience bridges classroom learning with practical application, enabling learners to contribute effectively to industry projects.

This experience is designed for learners from the Data Mining course at Salem State University, who are skilled in both supervised and unsupervised machine learning techniques. Participants are adept at applying classification models, evaluating model performance, and conducting clustering and association rule mining. They are also proficient in data preprocessing and visualization. By collaborating with industry partners, learners can apply their skills to real-world datasets, providing actionable insights and recommendations that can enhance business decision-making processes.