For more than 140 years, Johns Hopkins faculty, researchers, and clinicians have worked side by side in tireless pursuit of discovery. This drive for relentless advancement continues to power cutting-edge technology at the Johns Hopkins Commercialization Academy. An incubator for Johns Hopkins discoveries, the Commercialization Academy connects you with faculty, staff, and students across the university to bring 300-400 new ideas to fruition and technologies to market each year.
Apply as a Commercialization Academy marketing or business development fellow and join a team with technology analysis, intellectual property, licensing, and compliance fellows. As a team, assess new technologies and market feasibility, conduct research on potential licenses, and create the marketing strategy and materials.
Benefit from the guidance of two Carey Business School Executive Alumni Advisors throughout the fellowship. And build a network of faculty, researchers, clinicians, and other innovators across the Johns Hopkins networks.
Commercialization Academy is run by Johns Hopkins Technology Ventures.
Big data comes in high volume, velocity, and variety. But it’s not the amount or type of data that transforms businesses, it’s what businesses do with the data that drives the bottom line
A business partner will pose a business challenge to the class for the Big Data Consulting Project, along with a large dataset for analysis. Then students work in teams to analyze the data, derive managerial insights, and use their findings to present creative solutions to business challenges and opportunities.
To best address the business’ challenge, student teams work through three stages: describing data patterns and trends, using the data to predict outcomes, and compiling the analyses to form actionable recommendations for the project sponsor.
Students use a combination of data visualization tools (such as Tableau or Hadoop), programming languages for analysis (such as R or Python), and spreadsheet simulation and optimization tools (such as @Risk and Excel Solver).
Each student team will deliver two presentations to the business partner involved in the course, once at the project’s midpoint and again at completion. The midpoint presentation enables the teams to obtain early feedback from the business partner and make adjustments and course corrections as needed. At the final presentation, each team of students will present their findings. This includes an actionable plan for the business to use the findings and address real-world business constraints including bandwidth, skills, and budget. In parallel, students will submit a technical report to the course faculty.
