This post-graduate program provides students with a blend of theory, hands-on practical exposure and applied research to benefit business organizations, while allowing the opportunity for students to specialize in their chosen career fields. Projects will be developed by integrating the skills acquired in the program and may involve on-site research and/or third-party industry related projects. Researching and presenting sustainable solutions to business problems are core tenets of this course. The course positions students as business consultants under the guidance of the professor. Students can take on any business-related problem.

The course is the students’ opportunity to execute a professional marketing or business research study in their area of specialization. Students exercise their professionalism and applied research skills to facilitate a sound business decision on a problem/opportunity in a real client business context.  In this course, students apply their research design and execution skills (e.g., survey writing, focus group, interviews, desk research, etc.) using consultative, project management, and client service knowledge as they work in teams on a marketing problem. They prepare a professional research report and present findings and recommendations to a selected audience. Address client project needs by evaluating the availability of secondary research and designing required primary research Collect research data to maximize representative, timely, and comprehensive research findings Use project management techniques to execute the research process Adhere to professional and ethical guidelines to minimize harm to participants and challenges about the authorship Interpret research findings to formulate recommendations Present results and recommendations to disseminate research findings  

Seneca Polytechnic's Data-Driven Solutions Capstone is designed for aspiring data science students eager to apply their analytical skills to real-world challenges. Participants will leverage their knowledge of data analysis and machine learning to tackle a specific business problem or research question using an existing dataset. This experience empowers learners to translate theoretical concepts into practical solutions, enhancing their ability to derive insights and make data-driven decisions. By collaborating with industry professionals, learners will gain valuable exposure to the nuances of applying data science in a business context.

Secondary research on industry, client's current digital assets, competitor's digital assets and consumer journey map Creation of evidence-based recommendations and strategic plans, utilizing industry-standard tools to effectively connect brands with their target audiences. Using Canva and Adobe Express to create content examples.