invested in research

OVER

on-time completion across all programmes

employment of all graduates

“I feel the certificate course has enhanced my understanding of research above my current working knowledge. It was worth the time and effort. My eyes were opened to aspects of research I was not previously aware of before. The experience has increased my ability to better critically review research, to discuss research with colleagues, and to talk about research with students.”

“My work through the elective courses has already stimulated a budding of new research for me and peers. For example, part of my master’s thesis utilised mixed modelling (BIOE866) as a more robust manner of comparing day-to-day pain measurements from real-world assessments, which is much different and more appropriate than the current standard avoiding erroneous imputation or impracticalities of sum pain intensity difference.

Through a combination of skills that built upon each other (BIOE 822, BIOE 865, BIOE866, and BIOE868), I have been able to educate other centres on properly designing and controlling their analysis for necessary covariates, particularly controlling for the possible bias of a centre effect.

Additionally, I have begun exploring epigenetic (BIOE824) changes that may be injury and medication-induced, so that we may find new answers for some of our challenges after acute traumatic injuries.”

“The Epidemiology programme has given me the knowledge and necessary tools to advance my research career. The professors are knowledgeable, create a supportive learning environment, and provide encouragement every step of the way. Now, I have become more critical when reading the literature, and I can apply what I have learned when developing and implementing new research protocols.”

“The MS was flexible and engaging. Most classes offered recorded lectures and assignments that could be completed over the following week. The challenging curriculum was balanced by prompt and engaging faculty support, and my professors were always only an email away.

My coursework focused on the methodological skills necessary to design and conduct research, including randomised clinical trials. I also took genetic epidemiology, health behavioural interventions, and multiple courses in biostatistics, epidemiology, and SAS.

Near the end of the second semester, I selected a research project topic; my research project committee supported and encouraged my exploration offering sage advice through our regular meetings. I completed my project over the second year, presented my results and manuscript, and was published subsequently as first author.”

“I joined the MS in Epidemiology – Data Science Track as a trauma surgeon and critical care intensivist with a junior faculty appointment at UTHSC. In an era of big data, more granular data have become available regarding our patients’ preoperative condition, physiologic and anatomic complexities and critical care and surgical outcomes.

While this wealth of information portends improved evidence and ability to examine outcomes, it adds additional complexity and confusion. This programme solidified my ability to take a clinical question, design a study, collect data, and analyse and interpret it effectively. I highly recommend the programme to anyone interested in learning to investigate real-world health challenges in a deliberate and meaningful way with an invested, engaged, and supportive faculty.”

“I feel the certificate course has enhanced my understanding of research above my current working knowledge. It was worth the time and effort. My eyes were opened to aspects of research I was not previously aware of before. The experience has increased my ability to better critically review research, to discuss research with colleagues, and to talk about research with students.”

“My work through the elective courses has already stimulated a budding of new research for me and peers. For example, part of my master’s thesis utilised mixed modelling (BIOE866) as a more robust manner of comparing day-to-day pain measurements from real-world assessments, which is much different and more appropriate than the current standard avoiding erroneous imputation or impracticalities of sum pain intensity difference.

Through a combination of skills that built upon each other (BIOE 822, BIOE 865, BIOE866, and BIOE868), I have been able to educate other centres on properly designing and controlling their analysis for necessary covariates, particularly controlling for the possible bias of a centre effect.

Additionally, I have begun exploring epigenetic (BIOE824) changes that may be injury and medication-induced, so that we may find new answers for some of our challenges after acute traumatic injuries.”

“The Epidemiology programme has given me the knowledge and necessary tools to advance my research career. The professors are knowledgeable, create a supportive learning environment, and provide encouragement every step of the way. Now, I have become more critical when reading the literature, and I can apply what I have learned when developing and implementing new research protocols.”

“The MS was flexible and engaging. Most classes offered recorded lectures and assignments that could be completed over the following week. The challenging curriculum was balanced by prompt and engaging faculty support, and my professors were always only an email away.

My coursework focused on the methodological skills necessary to design and conduct research, including randomised clinical trials. I also took genetic epidemiology, health behavioural interventions, and multiple courses in biostatistics, epidemiology, and SAS.

Near the end of the second semester, I selected a research project topic; my research project committee supported and encouraged my exploration offering sage advice through our regular meetings. I completed my project over the second year, presented my results and manuscript, and was published subsequently as first author.”

“I joined the MS in Epidemiology – Data Science Track as a trauma surgeon and critical care intensivist with a junior faculty appointment at UTHSC. In an era of big data, more granular

data have become available regarding our patients’ preoperative condition, physiologic and anatomic complexities and critical care and surgical outcomes.

While this wealth of information portends improved evidence and ability to examine outcomes, it adds additional complexity and confusion. This programme solidified my ability to take a clinical question, design a study, collect data, and analyse and interpret it effectively. I highly recommend the programme to anyone interested in learning to investigate real-world health challenges in a deliberate and meaningful way with an invested, engaged, and supportive faculty.”