The Tiber Health Master of Science in Medical Sciences (MSMS) helps students prepare for medical and health professional school admission with a curriculum that covers the same courses found in the first year of medical school. However, ensuring student success requires more than just rigorous coursework.
Students also need proactive support from faculty and administrators. Our predictive analytics-powered, data-driven approach provides Tiber Health University Partners with a powerful tool to enhance faculty support and improve student outcomes.
Research shows that predictive analytics can help boost student retention by flagging students for early intervention. A 2023 paper published in Scientific Reports found that while demographic and academic data, such as test scores and socioeconomic background, can be predictive, so can engagement statistics gathered from apps.
One of the most significant benefits of the Tiber Health Analytics Suite is its real-time updating of student performance metrics. By analyzing historical performance data, attendance records, and engagement metrics, our predictive models can spot when a student shows signs of needing additional support.
For example, if a student’s quiz scores, engagement with online content, and participation in class discussions are all declining, the analytics dashboard will alert faculty members to intervene. This enables instructors and advisors to offer targeted support well before a student comes to a crisis point where they’re considering dropping out.
We constantly work with our University Partners to refine the MSMS curriculum. The data from our analytics dashboard makes that constant improvement possible. By assessing which topics or assignments consistently challenge students, instructors can feed back to us about how to adjust the curriculum, offer additional resources, or implement alternative teaching methods to improve comprehension.
For instance, if analytics reveal that a significant percentage of students struggle with a specific concept in the medical biochemistry class, faculty might introduce supplemental workshops, add a video to an online module, or encourage students to break out into study groups led by high-performing peers. These data-driven adjustments ensure that the MSMS coursework remains effective and aligned with specific student needs.
Advising and mentorship are crucial components of pre-medical master’s programs. Predictive analytics can enhance our University Partners’ efforts by providing faculty advisors with deeper insights into each individual student’s progress, strengths, and challenges.
By integrating predictive models with student advising platforms, advisors can receive customized recommendations on how to best support each student. The Tiber Health Analytics dashboard provides insight into student performance across USMLE Step 1 content areas compared to past MSMS and MD students, so advisors can offer personalized guidance.
That advice includes matching students with best-fit health professional programs after graduation. The MSMS is primarily focused on preparing students for success in MD programs, but graduates are also prepared for a range of other options, from dentistry and veterinary school to medical research and beyond.
As the demand for skilled healthcare professionals continues to grow, institutions that embrace predictive analytics-powered education will be better equipped to produce competitive, well-prepared candidates for medical school. The integration of predictive analytics into our pre-medical special master’s curriculum offers our University Partners a transformative approach to student support. Find out how your university can take advantage of this opportunity – contact Tiber Health today about partnerin
