2023 Biostatistics Information Session for the MPH, MS and PhD programs

Transcript

• 00:53So what we will do is we will first do a short presentation. I have several colleagues with me and then they are going to have several colleagues with me and they're going to introduce some.
• 01:03Later. And how we will make sure that will be enough time for questions. So you can either hold your questions.
• 01:06Until the end or if you prefer you can also type in chat. As page. Okay, so this is a department vision.
• 01:25So as you can see here, we are exercise equally development of new statistical methods and also other applications in public house, medicine, biology.
• 01:38And we collaborate heavily with all departments in school. And also most departments in medical school as well as other schools.
• 01:55So, here is a partial list I do want to emphasize it's a partial. So on the left side you will see a list of our methodological research areas.
• 02:08And on the right side, our applications. So we have faculty conducting. I will say more classic research, such as, a,able analysis, clinical trials.
• 02:20And also we have faculty engaging in highly cutting edge research like high dimensional data analysis, network modeling, big data.
• 02:28Integration of data from diverse sources. And in terms of application, we cover cancer mental disorders, cardiovascular diseases, aging, risk protection and how also I want to mention just about 3, 4 miles away from Yale.
• 02:45There's a very big BA campus. Several of our colleagues including myself have been engaging in better house research.
• 02:59So if you combine our methodological research and applications, not really a lot a lot of different combinations.
• 03:09So I can say very confident in delay, doesn't matter how what you're interested in, you can easily find faculty to work with.
• 03:17Okay.
• 03:22So, okay, thank you. Nice page.
• 03:28Okay, so, this is a overview of our, degree programs. So, we have both master and PhD.
• 03:38So for our PhD, we, only have a PhD in biostatistics. But we have 2 different Passways are the first days standard which focuses more on BIOS that methodologies and the theories.
• 03:52And the second is implementation sciences, which has a stronger emphasize of a clinical trial design, which has a stronger emphasize of clinical trial design and implementation.
• 04:05For master, we have, pH and MS. So, MPH, our department in school public house have MPH.
• 04:18And you need to our department we have a very strong MS program and we have our MS in biostat and MS in HOUSE.
• 04:32So, this is a, started by a unique advantage we have. We have a, a, a, a, of how systematics.
• 04:40We see biostat. For MS, we have 3 different pathways, standard data science and the implementation science.
• 04:49So standard pathway emphasize more BIOS that foundational methodologies and the data science as you can see from the name has a stronger emphasis on for example a high performance computing analysis of a big data like medical record data and how implementation science I mentioned that.
• 05:12So I do want to. Clarify that how the different pathways MS and MPH the boundaries are not very and not that clear cut so if you're a student you stand on a pathway you definitely can and you actually will be encouraged.
• 05:33To to also take courses from other pathways. Nice page.
• 05:42Okay, so, this is a brief, overview of our faculty and the students.
• 05:48We have 22 teaching faculty, 18 secondary faculty and 16 research scientists. So as a master student you will be able to work with all of those faculty.
• 06:02So that's really a lot. And how we also have lectures and adjunct faculty. And on the right is a brief overview of our current students.
• 06:14We have a over 6 day ampH students. Almost a 90. I'm as biostat students, 45 MS, House traumatic students and 40 PhDs.
• 06:27So as you can see from the numbers, our student body has been growing. And in the past couple years we have been having record high number of applications.
• 06:40This page. Okay, so, this is a very high level overview of what's going to happen to you in the next 2 years.
• 06:51So you will take required courses or elitives. Or and you will need to do a summary in turn.
• 06:59And our students are not required but highly encouraged to do thesis. So, this is a really a very comprehensive training plan.
• 07:11And one thing I want to mention is, when you come to our department you will be exposed to the whole school public house as well as Yale University.
• 07:23So if you do come, please take. Take up. Keeping in mind this and make sure you take full advantage of.
• 07:34While to school pump house and your university can offer this page.
• 07:41So, 2 years is a long but also very short. So, it's a I mean even before you apply, it may.
• 07:51And maybe a good idea to start thinking what you may do here and afterwards. So, some of our students got engaged in research memory early on, and here is a shorter list of some of our centers if you're interested in cancer research we have cancers in here.
• 08:10If you're interested in outcomes research, and there's a very strong core. And high just last month we recruited 2 master's students.
• 08:21As research assistance for the core s page.
• 08:28So, in the first summer, you want you to do a intern and here is, laced up some companies.
• 08:35Or our students date interns in the past couple years. And after 2 years some of our students went on and pursue PhD degrees.
• 08:46Braun, Emery, Harvard, Joel Hopkins, Columbia. All those top ones, you, and also many of them went to companies like BI, BMS, CVS, all those fake, and other companies.
• 09:10That's page.
• 09:13Okay, so, a nation has you will be able to find this information from our website. So, we do welcome students with all undergraduate majors to apply.
• 09:23We require certain training. Mathematics in particular, calculus and linear algebra. So you are not required to have training you statistics and statistical software although such experiments will be really helpful.
• 09:48That's page. So this question came up pretty much every time I'm pH versus, So again, I want to say that a boundary is not that clear.
• 09:58Our MS and I'm here students they take a lot of courses together they party together they are good friends so and pH does have a stronger episodes on public health.
• 10:20And how for a we have a stronger training. A stronger training and maybe higher expectation in terms of biostat methodology the foundation of statistics This page.
• 10:38Okay, so briefly here is our requirement for NPH. There are 4 core courses in public house and there are 8 required courses all Statistical methodologies like regression, longitudinal, and probability and also aid a labs So, this is related to what I mentioned.
• 11:09You will be exposed to the or spectrum. Your school powerhouse and Yale can provide. And, also, and pH and also, MS students will need to do a summer intern.
• 11:24So I'm going to pass to Mary.
• 11:28Thanks, Steve, and thank you to all of you for joining us this evening. I hope this will be helpful and clarifying the differences between the 2 degree programs.
• 11:38We know there's a lot of overlap. But it's important for you not only as applicants, but especially as future students and professionals in these fields to enroll in the correct degree program.
• 11:52So we're hoping this information will get started and helping you understand the differences. I also want to offer if any of you ever want to do an individual one on one zoom call with me to really sort of clarify or understand more in depth what the MPH program is about.
• 12:09I'm happy to do that at another time obviously. And I think it might be helpful too just as an aside.
• 12:18For you to look at the different curriculums offered between the MS program and Biostats and the NPH program in biostats to start to see the difference in what you're going to be studying day to day and also in understanding the competencies.
• 12:33The skills you'll have when you graduate. I think that might be helpful. To in understanding which degree program you really should be and also in helping you write your personal statement which in the application process for the MPH program.
• 12:50The personal statement is perhaps the most important document or piece of information that you will supply to us. It is where you will explain to us what your focus is in public health, in biostatistics, what it is you really want to further study or explore or understand and how you hope to use the degree in your future work.
• 13:13So any kind of exploration you can do in helping to clarify that as you write that personal statement is going to make you a more successful applicant.
• 13:23And I'm going to say this now because I don't want to forget this piece of information.
• 13:26I get asked this a lot. If you are internet, many of you may be international applicants.
• 13:33You are eligible for the MPH program for merit scholarships just like our. Domestic applicants.
• 13:34There is nothing extra you need to do. It is all part of our review process. And it will be done in connection with the review process for admissions.
• 13:46It will go over to financial aid and a merit scholarship may be awarded to you. Jen Farkas, our director of financial aid, excuse me.
• 13:56She'll handle, some information sessions next month. I think the next one is coming on December first.
• 14:05Information on the website. So international students are eligible for merit scholarships in the NPH program.
• 14:12The review process. Is about to begin in early December for the MPH and biostatistics. We do have an application deadline of December, the fifteenth through so fast.
• 14:23That's our schools of public health applications service. The portal has been open for a while, so some of you may have already started to submit.
• 14:31We're not quite ready to review yet. But we'll get going in early December. We use a rolling process of admissions.
• 14:39And so we will read applications. And send decisions all the way through early March. We require just a few sort of very typical components to your application.
• 14:52As you can imagine, we want to see transcripts from the institutions that you have attended. The courses you've taken, the grades you've gotten, we like Steve said, we don't have a preference for any particular major or area of study.
• 15:01We welcome sort of the different perspectives that you can bring to the classroom, but you do have to have in biosatistics those core others prerequisite courses.
• 15:14In linear algebra and multivariate calculus. So transcripts are the first component of your application for those of you that are studying outside of the United States.
• 15:26You will have to submit a West evaluation. We are looking to be sure that you have strong quantitative abilities, which I assume you probably do if you're applying to biostatistic but that the program is very rigorously has a very rigorous quantitative focus, so that's a key part of our review.
• 15:44We also then, will ask you to complete and so fast. There is an experience section where you can list the volunteer work, the research you've been doing, student organizations, the part-time jobs you've had.
• 15:54I encourage you to fill that out. That allows you to provide a little more detail than your resume, which you will also submit.
• 16:05And I know sometimes some faculty are a little put off when people don't complete those sections. And I think the importance of it is your ability to sometimes show us a little bit, provide more detail and maybe make it the connection to how this has related to your past to a public health degree.
• 16:24We do take students directly from their undergraduate institutions and you do not have to have paid professional work experience.
• 16:27To get into the MPH right out of undergrad, but we are looking to connect the dots for sort of how you got interested in public health.
• 16:39And why it is you want to study it further and what it is you hope to do with the degree when you graduate.
• 16:45It's some vision of how you hope to do that. That may change. We know when you're in when you're here at YSPH.
• 16:49But an idea of how the degree will serve you well. So transcripts, OS evaluation if you need if you are studying outside the United States your resume or CV your personal statement as I alluded to earlier for students who are studying in institutions where the language of instruction is other than English, you will have to submit a total.
• 17:14And we are looking at those closely for for writing scores as well as the other scores. The minimum score we will take in the total is a hundred.
• 17:24And so we prefer scores. Even higher than that, but just keep in mind the minimum is a hundred.
• 17:27Last of all and importantly 3 letters of recommendation one from come should come from someone who's taught you they can all come from someone who's taught you they do not have to have any relation to public health but people that can speak well about your academic ability, what you like as a person as a colleague, as a researcher, whatever the connection is between these 3 people with you and what they can share with us.
• 17:51Often they share things about what you're like as a member of our community as an individual.
• 17:59They're a really important part of the review process. If you run into any problems with the application, so fast is a very friendly user friendly, application portal and I can work with you, to usually to pretty much correct anything that could go wrong.
• 18:19We will host some virtual information sessions in the month of December and in the early winter about the MPH and biostatistics and the MPH in general career paths, things like that.
• 18:30So I encourage you to look at our website, keep an eye on it, and feel free like I said to reach out to me for a one-on-one session, but hopefully you'll tend some of the other sessions we have that are specifically focused on the masters of public health.
• 18:43And the other academic departments because you're going to take course work in those as well. So thank you.
• 18:49Thanks, Katie.
• 18:54Okay, so, greetings everyone and thank you so much for joining us. I'm Lisa Kavalagrasi and I'm a research scientist in the Bath Statistics Department.
• 19:05And I'm also one of the instructors for the Capstone course, which is called statistical practice.
• 19:11I'm going to begin our discussion of the MS degree in biostatistics. And this kind of gives you an overview.
• 19:20So over here on the left. Of this charge, you'll see the 3 pathways that Dr.
• 19:28Mom mentioned. The standard, the data science, and the implementation science pathways. In a moment, we'll discuss each of those in a little bit more detail.
• 19:38But first let me go over the requirements. So for each of these degrees, it's either 15 or 16 course units altogether.
• 19:48And starting over on the left. You'll be expected to take 2 public health courses. They are foundations that that be and epidemiology and also from frontiers of public health.
• 20:02So why these courses? Well, these courses are really very important. Because they provide you with the context.
• 20:10For doing the analyses that you'll be doing and the other work in biostatistics and I'm hoping also when you take these courses that you'll come away.
• 20:21Realizing just how critical biosatistics is to epidemiology and to public health. Really couldn't do it without you.
• 20:32Now in addition to those courses, there are a number of departmental required courses, 8 to 10 depending on which pathway you're in.
• 20:42And also you'll be taking a number of approved electives. Now here it says they vary based on chosen pathway.
• 20:51This is true, but what I'd like you to be able to do is get a closer look at these courses.
• 20:56So after I finished talking, I'm going to put a link in the chat which will take you to a page on the your website that will actually list all of the required courses for each pathway and all of the electives as well.
• 21:11You just click on the course number and you'll actually get a more detailed. Explanation of what's in each course.
• 21:19And lastly, also as Dr. Mott mentioned, there is a required summer internship between the first and second year.
• 21:28This is typically a full time commitment that lasts from 10 to 12 weeks. Next slide, please. So I'm going to talk in a little bit more detail about the standard pathway.
• 21:43So this is really our original bio statistics pathway. Tried and true. And so in this pathway you will.
• 21:52Come away with a strong foundation in biostatistics. And really in our aspects of the scientific method, you'll be learning a range of analytical approaches and how to interpret the results of your analyses.
• 22:10And also study design is very important here for you to learn what types of studies are done and what the methods are for doing those studies that provide you with the framework.
• 22:22For making good decisions about the most appropriate analytic strategies to use in a given scenario. To do all that work you're going to need advanced programming skills and in this standard pathway we will be focusing on teaching you R and S.
• 22:40Unless you see statistical consulting here. And this really refers to another important aspect of your work is about statistician out there in the real world.
• 22:51And that is that you will probably be working in a team situation with statisticians and non statisticians and some of your work will have to do with if you will translating some of the more technical work that you do into language that non-statisticians can understand.
• 23:12So communicating findings to different audiences will also be important and help you succeed in your work. No.
• 23:22Your degree, is quite marketable. And. When you come out of our program.
• 23:27You'll be ready to work in biomedical research, including the pharmaceutical industry, healthcare organizations, academic institutions and some of our students also work in tech industries.
• 23:47Next slide.
• 23:52Right, so this one is on the data science pathway. So my name is Michael Kane. I'm an assistant professor.
• 23:55At Yale in the Biostats department. I'm the director of the data science pathway.
• 24:04So data science, as it's taught, in biostats is an interdisciplinary field kind of at the intersection of bio statistics and computer science.
• 24:15So you are going to need to learn the the core bio statistics. I think the difference that we have the difference in data science is we're gonna spend a little more time talking about algorithms and in software systems.
• 24:24So we tend to do a little bit more, of, machine learning for biomedicine.
• 24:36That's a little bit different, and a twist on kind of regular machine learning and that a lot of times we're a little more or we're more interested in characterizing uncertainty and then also providing interpretability.
• 24:48And this again goes back to, because we're, we're almost always working with, with with scientists or people with more domain knowledge.
• 24:51We need to be able to convey decisions and then the results of models for them. We also do a little more emphasis on software, software development, reproducibility and then visualization.
• 25:12We do spend a bit of time, teaching about software building software systems this is kind of what the direction right now that we're seeing data science go in is that whereas before and there was more emphasis on effectively using using compute techniques to provide analyses.
• 25:35Now there's a lot more emphasis on building software system. So, you know, knowing kind of the fundamentals of certain aspects of.
• 25:46Of software engineering that are going to be relevant to building software systems, in data science pipelines.
• 25:54So the idea then is to connect statistical methods to construction of reproducible software solutions for data analysis scientific advancement, especially in health related fields.
• 26:04So how do you build a software system that's going to be able to provide and now and analysis?
• 26:09And next slide please. The types of are the classes that you're going to be taking are the data science is the data science software systems class.
• 26:18This is the class that I teach where we go over kind of the fundamentals of data science. And, you get the exposure to software, development and software system engineering, that, you'll need, most of that class is, it's split or it's mostly taught in R, but we we do also go through Python.
• 26:36You do there is a data science physical practice capstone experience, which you have at the end of your second year, where you basically, kind of the culmination of everything you've learned both in biostatistics and computing where you you in a group kind of build a software system that you then present on to provide an analysis and we have a lot of electives both in the department and outside
• 27:02of the department with emphasis again in machine learning databases. Along with, you know, a lot of other computing related classes.
• 27:13Thanks.
• 27:24Tona?
• 27:29Tano, your mute.
• 27:30Yeah.
• 27:36You're still mutate.
• 27:39Oh, okay. How about now?
• 27:42Yep, it works.
• 27:43Oh, great. Okay. Hello everybody. I'm Donna Spiegelman.
• 27:47I'm professor of Fire Statistics here in the department. And the director of our implementation and prevention science methods pathway as well as director of our center on implementation on methods for implementation and prevention.
• 28:02And we have had maybe for the past 3 years of a very novel and unique. Pathway here at the Yale School of Public Health in our department on implementation and prevention science methods that really doesn't exist anywhere else in the world.
• 28:13So if you're interested in this topic and want to gain expertise in it, this is basically the only place where you can really deeply focus in this area.
• 28:29And, what I would like to do first is just explain what implementation science is. It's basically the study of the study of the uptake and fidelity and sustainment.
• 28:44Of evidence-based interventions. So, in contrast to a lot of other research that biostatisticians are a part of.
• 28:54We're not looking to discover new devices or drugs or treatment modalities to prevent, scream, and treat disease rather.
• 29:06And implementation science, we're aware that there are already many, many extremely effective interventions that can prevent and mitigate a large proportion of the disease burden both in the United States and around the world.
• 29:25And the challenge is understanding why they're not being used to the extent that they could and should be and how to adapt their delivery and and and sustainment so that they are used in the way to prevent disease and that raises a number of sort of relatively new and unique challenges in quantitative methods as well as in the interdisciplinary world of where quantitative methods intersect with qualitative methods as well as health economics.
• 30:00So that's a very brief background on what implementation science is. And so what we do in our masters in the implementation science pathways.
• 30:10It's the standard pathway that was already described very well. Plus. So when you follow this pathway you are fully trained in the very best ways as a Yale Department of Biostatistics, Master of Science degree recipients.
• 30:30And with no compromises whatsoever in the rigor depth their breath of that training and then we add on to that some additional training.
• 30:42It was 3 courses that were uniquely brought to the school at when our center was created, one on advanced methods and implementation and prevention science.
• 30:45And then 2 on causal inference, which many of you may know has become an extremely important topic in public health as well as clinical research.
• 31:01And so there are these 3 additional courses on top of the ones that are required for the standard biostatistics MS pathway.
• 31:10And then we've also chosen certain electives that is a slightly different or more than slightly different list.
• 31:18From the standard pathway that involved courses both in biostatistics as well as in other departments in the school that will enrich.
• 31:27Of the quantitative rigor in which you've been trained as a quantitative implementation scientist. So, So that, I think I can, oh, and then, yeah, and then the other piece of it is in our master's MS program in general, students, have the option of either doing a master's thesis or not.
• 31:52But in our pathway we actually require, I guess we say we strongly encourage. That our students do a master's thesis and in doing so they'll work with one of the faculty in our group.
• 32:01Either myself, family, Shinzo or Laura Ferre on a thesis that could be the analysis of an implementation science project or it could be working on methodologic research such as conducting simulation studies, deriving mathematical results, checking mathematical results, and then of course in many cases our students have written up this work as publications and some and published them either as first author or contributing author as well
• 32:39as to given presentations at national international conferences on their work and then it's a nice stepping stone for those who are interested in a PhD program because then you already have at least one publication, some serious research under your belt and so forth.
• 32:56So, okay, we can go to the next slide now.
• 33:01And I think we're ready to talk about the health informatics degree.
• 33:06Thank you, Donna. Good, evening, morning or afternoon, depending on where you are in the world.
• 33:15Yes, my name is, and I'm a professor at the new department of medical informatics and data science.
• 33:21And I also have a join appointment of medical informatics and data science. And I also have a joint appointment with about statistics department.
• 33:26So I'm going to introduce to you this, MMS, programming, health informatics, which require a 14 course unit.
• 33:35The first module, as I think Lisa already, talked about, those are the 2, require courses, the foundation of epidemiology for public health and frontiers of public health and in the middle which consists of 8 course units.
• 33:59So the students are required to take a number of informatics. Related causes such as the population of public health informatics, introduction to health informatics, method for informatics, etc, etc.
• 34:14And I myself is, teaching this clinical database management systems and ontology course. Right now I have 65 students, you know, with students coming from the BOW statistic department and also, you know, this, health, health, like this program.
• 34:30And we have also a clinical decision support, course. I'm focusing more on, chemical applications.
• 34:36Finally, we, I'm also involved in this, a capstone course, which is a 2 semester course.
• 34:43So student taking this course will work on individual or group projects with mentors from different departments. Either within the school public health or the medical school or even with principal investigator from other departments, you know, in school bar and sciences.
• 35:08And finally we also, have the student take some, elective courses, a total of 4 units because our health informatics is quite interdisciplinary.
• 35:21So I think it would be a good, cap for student to feel by taking courses in other discipline, in other schools, for example, like school management because some of the students want to become entrepreneur.
• 35:37Nera try to, you know, apply their informatics, health informatics scale to the business domain.
• 35:44And you know in our program summer internship is optional is not required but many of our students is optional is not required but many of our students are taking some internship is optional, it's not required, but many of our students are taking some internship, not just for financial reason but for a real world experience that really would help them to save 5 jobs in the industry in the future.
• 36:02Next slide please.
• 36:09So my, program basically provides students with broad, base training in information sciences, data science, clinical informatics, consumer health informatics and population, population health informatics.
• 36:23Our students also have the opportunity to explore innovative methods to use data, information and knowledge to improve health.
• 36:31And well-being of, patients, and the populations, and delivery of health services.
• 36:39Our graduates you know after finishing the program will be quite ready to tackle big data problems, spanning medicine, computing, public health, data science, and more.
• 36:55And last but not least, the applicants typically have undergraduate degree with a focus in health sciences, have undergraduate degree, with a focus in health, sciences, data, with a focus in health sciences, data, computer science, data, computer science, and also qualitative, data, computer science, and also qualitative, skills like, math and statistics.
• 37:04So that basically is the, and also qualitative, skills like, math and statistics.
• 37:16So that basically is the, you know, over
• 37:24Hi everybody, welcome. My name is Katie Tusset. I work in the Student Affairs Office for the PhD in MS Program, School of Public Health.
• 37:33I'm gonna talk a little bit about our PhD program. Again, we have 2 pathways as Dr.
• 37:37Ma talked about, the standard pathway and implementation science pathway. So depending on which one you do, it's 15 or 16 course units.
• 37:49Again, like some of our other programs are public health courses. We have the addition of a research ethics and responsibilities course for our PhD students, which is quite a nice course because it's the only one that all of our first or PhD students take together so it means that you get to meet your cohort and you get to really dive deep into some of the ethics around the research that we
• 38:16do. Then there are There are 5 required courses that you're going to take. Again, this kind of.
• 38:22Varies quite a bit because the standard pathway has 5 and the implementation science one has 9, but then that kind of gets offset by.
• 38:31They approved electives that you can take. Our biostat, PHC students also do a required internship.
• 38:40Typically for that it tends to happen on campus. They tend to want to work with their advisors that summer or with potentially another researcher, at Yale, but not always that is not a required part of it.
• 38:55Our PhD program is full time and it is in person for the first 3 years of your time with us the first 2 years, our course work and then after that you wouldn't move on to your dissertation work.
• 39:09Again, you can choose between the 2 pathways. We fully fund all of our students for 5 years that is guaranteed funding and it includes your tuition your stipend and your health insurance.
• 39:22And you do not need to find a faculty advisor before applying. I know that that sometimes feels a little awkward for some people.
• 39:30What we do say is that within your application, it would be really good to identify 2 to 3.
• 39:40Faculty members that you want to work with. We would love to understand. The kind of research fit between what you do and what our faculty do.
• 39:51And we would really appreciate you kind of using the very, very short amount of words that you get.
• 39:52And that, and that personal statement to describe. How being, yeah, will help you achieve your career goals.
• 40:05And you can certainly reach out to faculty. You know, we're nearing the kind of month before the application mark, so they may not respond necessarily right now, but.
• 40:18You are welcome to contact people and ask to talk to them about their research, but you certainly don't need to do that.
• 40:25So moving on to the actual process. Our MSNPC program are administered through the Graduate School of Arts and Sciences.
• 40:31So we don't use so fast. The application, everything is on the graduate school website for your application.
• 40:43When you go in, you select public health. And then your concentration. Your concentration won't biostatistics won't come up or help them facts will come up as an option.
• 40:54You have to go through public health to get there. The GRE is required for both the PhD in the MS and biostatistics and it is not accepted.
• 41:04For the MS and Health Informatics. The deadline is December fifteenth like with the MPH deadline.
• 41:11We, however, do not review on a rolling basis. We will start the review once all the applications are in.
• 41:18For the PhD program. We will be inviting the top candidates to interview. And that will be in February and then decisions will go out by the end of February, early March.
• 41:32And the MS program is probably around the same time, but we don't do interviews for the MS program.
• 41:39I put the, link to the graduate school website on here and I'll also put it in the chat but there is a lot of information on that website.
• 41:43There's an FAQ on that website. So hopefully all of your questions will be answered through that.
• 41:55And just to recap the MS program and biostatistics and health informatics are two-year programs.
• 42:01Part-time enrollment is not allowed in the health informatics program and that is because the way that the program is structured is meant to have a group of people come in as a cohort.
• 42:12They are looking for people with very diverse interests and backgrounds to come together. And it having a part time enrollment kind of doesn't work in that structure.
• 42:24Also the classes. Build on one another. And so doing a part time. Would kind of offset that and you'd be taking the wrong class at the long time since it doesn't work.
• 42:35Okay. We're gonna go to questions now. So I'm gonna stop sharing.
• 42:45And see if anybody has any questions.
• 42:50Okay, many thanks to all my colleagues. So, if anyone has any question, just, unmute yourself and ask.
• 42:57Or you can type in chat
• 43:04Okay, any questions?
• 43:06Hi, I'm not sure if you said it. If I heard it right, you said, GRE is required for the power statistics.
• 43:17And public health.
• 43:22It is required for the MS in bio statistics, but not the NPH.
• 43:30Oh, okay. Got it. Thank you.
• 43:39Okay, any other questions?
• 43:43Oh, hi. My name is Chong in Joy and I just wanted to thank you for the helpful information session.
• 43:51I also kind of read about Professor Saltzman who's in the School of Engineering kind of wanted to collaborate with him on a research project during my time at the university and I was kind of wondering and inquiring about how accessible resources and collaboration opportunities are between these different schools.
• 44:16So, well, let me give it a try. Thank you, University, but it's also a small university in your sense.
• 44:25And the different schools, different departments are fairly close, I would say. And ha, all of us have extensive collaborations as I mentioned, we seen School Pop House or Madison and across other schools.
• 44:37So, I would say there's definitely, a possibility, but, depending on whether you are a master or a PhD student.
• 44:49Okay.
• 44:50So for our PhD student, URL such collaborations will involve you're a divider.
• 44:59So, But I, I don't think I can comment on this very specific faculty, but in general there are a lot of opportunities for collaboration.
• 45:12So I also see some questions in chat. Okay, let me try to read from the first one.
• 45:22How close is a PhD to data science?
• 45:30Mike, maybe you can. Comment or?
• 45:32So yeah, so sorry the question is how close is the PhD to data science? So, Is the, so sorry, is the question how close is the biostat PhD?
• 45:44To the data science PhD. Hi. Can you ever ask, clarify?
• 45:51Yeah, the question is actually how close to data science is the
• 46:00So, you can take if you're for PhD students, if you want to take the classes.
• 46:06In the. In the data science pathway. You can do that and you do have the option to take other, data science electives.
• 46:18Does that answer your question?
• 46:21Okay, sure.
• 46:22Okay, okay fine, yes it does, thank you.
• 46:23So next question I'm just going to read how I would like to ask a What about the language requirements?
• 46:30For I'm asking how to informatics since I participate. The IE. LTI is now TO.
• 46:40I can answer that one. For the MS program and the PhD program. Like with the NPH program, we do have, the TOPL or the I, let's required for.
• 46:53People who have not had their instruction in English and their undergrad. If you have studied at a university that is had was in English for 3 years in residency, you will automatically have a waiver applied for that.
• 47:08But if you have not, then you do need to submit those. Somebody also asked me about an expired total score.
• 47:16We do not accept expired to full scores because they are automatically sent. And so you would need to retake it.
• 47:26Okay, Sayed back for it
• 47:30Hi, thank you. I have 2 questions. One is in regards to the research on background for PhD applicants.
• 47:41Does the department tend to have a preference as well to students who have like say, for example, a more theoretical research experience in undergrad or a more applied research experience whereas they're working with clinicians to apply.
• 47:57There is by statistical techniques.
• 48:01So, we have a over 20 faculty, some are quite a theoretical, some, Very applied, so we have a very wide spectrum.
• 48:11And I would say all of us. Value both theoretical and applied research ec. So it's really we don't really have a Strong preference of one over the other.
• 48:27So, do you have another question?
• 48:31Okay, thank you. Yes, I do. I notice that, early in the presentation, you said that, a.
• 48:39That is statistical background isn't required, but in the required coursework for the PhD bias stats, I notice that you don't have probability theory.
• 48:49As one of the required courses. But you do have statistical inference. Is it that like, probability 3 is grouped and what stats inference?
• 49:03So, while we have a married strong departmental statistics and the data science. And our students, you already take those theoretical courses from that department.
• 49:17So depending on your background, what you have already taken. If needed some students do take additional courses from statistics and data science
• 49:29Okay, thank you very much.
• 49:31So, Isabella. Hi, S.
• 49:36Yes, hi. So, Thank you for the information. I just have one question.
• 49:40So I was wondering if like for, regardless of any master's degree, can I take any specializations in like other?
• 49:52Like like a minor but for for graduate school. I'm not sure if that works . Here For for instance if I want to Have license,ization and Let's say archaeology or like anthropology does that work?
• 50:19Katie Mary Gasman
• 50:24For the MPH program, no, you'll, you'll be applying to and enrolling in the Department of Bios and statistics.
• 50:32You will not have enough room in your curriculum to have like a minor area of study because you'll have departmental requirements, the core requirements in public health.
• 50:42And you will have electives. So you will be able to take course work at any of the other professional or graduate schools.
• 50:44At Yale. I don't know if that would be enough. For what you might consider.
• 50:53A minor sort of focus in another area. We have a couple of concentrations, but it really then also comes down to the ability to schedule the classes that you want.
• 51:00And we do like them to have some connection to public health. I don't know, Katie, do you want to add anything to that for your group?
• 51:12It's the same situation. You have a, you know, a number of electives that you and requirements you have to take so you have a little bit of flexibility, and we do have students that take, you know, philosophy classes and things around, but it is like.
• 51:28One or 2, sometimes they, they audit a class and that's that they're interested in.
• 51:29Sometimes they'll take a language class, but it really is about, as Mary says, trying to.
• 51:38Fit them into your schedule. But you can't, you know, within this sphere of what you're doing within public health, you can.
• 51:44Take classes across. The university.
• 51:51I see. Okay, thank you very much.
• 51:54Okay, I'll go you a law.
• 51:58Hi, thank you for your information. I really appreciate further. And I just have a couple of questions about my application.
• 52:02So firstly for MS program I'm wondering that If I submit a writing sample, but not just a very related to.
• 52:17The LIKE, or public house, but it does really use the like data science method, that'll be helpful for my.
• 52:27Application or I don't need to do that.
• 52:37Hard to say. So, for, MS, I'm PH and the PG, I would say that I'll, sort of, a,ation based to USS.
• 52:47So, having those courses can definitely help, but they are not required and we do look at each individual applicant very comprehensively, so it's not just the one or 2 courses.
• 53:03It's really the whole profile. So, your coursework, your, English scores.
• 53:08Your other experience your motivation if you're like how we look at everything
• 53:15Okay, okay. And I just find that writing sample is not required for MMS and PhD program, right?
• 53:23So. If I choose to not submit it, there is there any like negative impact on all my application.
• 53:32I hope so. And I hope so. Probably not.
• 53:40I would say that you should put in a writing sample. I think because the writing sample is the way that we will get to know you.
• 53:44Otherwise it's numbers on there, you know that's your it's your grades and your test scores but the writing sample gives the admissions.
• 53:55Committee a chance to understand who you are, why you want to come to Yale. How we're gonna help you achieve your goals.
• 54:07And without that, cause we really look at our applications holistically, you know, we're looking at every aspect of you to think like, are you going to be successful here?
• 54:16Is this a great place for you to come? And without a writing sample, it means that, sorry not to write and say, without your personal statement, we're really a bit stuck.
• 54:23Oh yeah.
• 54:24Sorry. The writing sample you don't is not required now.
• 54:28Okay.
• 54:33Right.
• 54:39Oh.
• 54:40We sort of, we sort of use your personal statement to some extent as we are looking at your personal statement, to get some idea about your writing ability also, and the rest of the application as well, believe it or not, but the personal statements crucial for the MVH program anyhow.
• 54:45. So
• 54:46And it's got to expand beyond sort of what you've done. You really need to take what you've done and tell us why this has to come next.
• 54:49Why this MS or NPH program, whatever it is, has to happen next. And what's important for you to focus on or what you want to focus on in your studies.
• 55:14Right.
• 55:15Yeah, yeah, that really makes sense. Cause I, cause I just think that writing sample is kind of like the documents show my Show my like research ability since I know that solving saw other university using writing sample to submit my research paper so that you show my ability to do research.
• 55:25But okay, that, okay, that, I think that's, that this. It doesn't matter here, but I do already want to submit my JR score to MPH program, but I heard that you say MPH.
• 55:33Program doesn't require GR you score. The system means that you will not review my JR score or it's just optional.
• 55:47No, it's not we have waved the GRE but you can submit it if you would like because we do have joint degree programs around the university that require the GRE score so we've left that off.
• 55:55And so you're welcome to submit a GRE if you would. Prefer to do that.
• 56:05Yeah.
• 56:06Okay, okay, makes sense. I lost your question, that's by, my English Waver.
• 56:09I know that I will get so waver from. Just, MPH program, cause I know I have a US degree, but My I do have very unique academic Experience because I complete my 2 previous years, my 2 first years in trying to agricultural university.
• 56:25But, at, but this by my college use. English as the primary. Just a language for instructions.
• 56:38And I send the email to the GSAS and tell them that I complete first or 2 years and but in other but in China, but I use English as my primary.
• 56:52Primary language as a for instruction there. And I complete my loss or 2 years in American University. And they think they said that I can't get an English waver for MS program, but it may be not automatically to get the so should I just sing the email after I submit my application and tell that okay and just a maybe or forward the email from GSAS at the Mission Officers and should tell you that I can't guess the
• 57:24English waver so I don't issue some bits of TOV or else. To prove my English proficiency.
• 57:34Which program are you referring to? You
• 57:37. Oh, both. I will apply for both both MS and PS programs
• 57:43So we will not if you've taken you've had instruction in an English
• 57:50Institution using English for the primary language of instruction for 2 years. Is that what you said?
• 57:56Yeah, but for MS program, cause MS is held by GSA S right and the Proficiency beaver requests me to study as a Institution more than 3 years in this institution should use English as a primary instructions.
• 58:16But I complete in English as a primary instructions. But I complete my loss a few years in University of Maryland.
• 58:21This is, but I complete my loss of 2 years in Universal for Maryland. This is a there's definitely a US institution.
• 58:26I think they'll be fine. In Universal for Maryland. This is the definitely a US institution. I think that'll be fine.
• 58:31Good.
• 58:32But for my first few years, I complete in try not to call to university but I but my college use English as my primary.
• 58:34As a primary instruction language. So That's why I just say I think I've previously I sent the email to the GSAS and tell them that I have I I do complete all of my crossword using English.
• 58:49And yeah.
• 58:54Yes.
• 58:55Okay, yeah, I think these are this is a sort of individual situation for you. So I think you, you know, for the NPH program, we would not require the tofu for you, but you know in order to sort of work around or work to get that waved or whatever for the MS program that might be something you want to discuss later.
• 59:09Okay.
• 59:10You know, because it's very individual for you.
• 59:13Okay, so can I just send the email to you or other individual officials like talking about these things because I'm already if I can not just get a wherever I need to submit my toll vote scores at that time.
• 59:31You're welcome.
• 59:32Okay, okay, thank you. That's all my question. Thank you for all help.
• 59:35Okay, at least so. Oh, I'm not sure I pronounce this correctly. Please.
• 59:43Oh yeah, that was correct. So, I'm a LITTLE and I'm currently a second year.
• 59:51Masters biostatistic student and I was wondering if you could spend more on the research centers and course available for.
• 59:59PhD biostatistic students, and maybe like examples of projects that PhD students have maybe collaborated in with these centers.
• 01:00:08And I was also wondering, about research. I both diversity initiatives. And if there were any like current ongoing projects that dealt with like biostatistics, statistical methods, development, but towards.
• 01:00:28A focus in like health disparities or minority health.
• 01:00:36Okay, so, well, first of all, for, HD still and seen by all that the expectation is there will be significant methodological component.
• 01:00:49And, URL, our PhD students do 3 to 4 major projects. And each is expanded to have a strong methodological argument or a theoretical component.
• 01:01:04And how for motivations of those projects. For their applications quite often we collaborate with those centers like a center of aging cancer center.
• 01:01:13We also have St. H. Song Manhattis orders and other. Other centers.
• 01:01:26So, the collaborations are often early through advisors in biostat not just the students they directly and how with respect to we shall disparity research in our school overall we do have a very strong research and on this topic.
• 01:01:52And within our department we also have who have done related research. So, I would say. If this is all particular interested to you, you will have no problem.
• 01:02:07Finding a faculty with similar interest. So, Maybe one last question.
• 01:02:19Yes, hi. I may have some issues with the recommendations amendment. Cause one of them might be late after the deadline.
• 01:02:30So is that possible?
• 01:02:34What program are you applying to?
• 01:02:37The data science pathway.
• 01:02:41Yeah.
• 01:02:42Oh, to the MS program. Is it do you think you can get the letter in by like the second of January?
• 01:02:47Yeah, sure. I just want to be in the first round, so. So that.
• 01:02:52Yeah, I think as long as you can get it as soon as like at the latest and we can get it in by like the second of January, then it would get included within the review.
• 01:03:02That is great. Thank you.
• 01:03:07Okay, Said I still see your hand up. Do you have an additional question or?
• 01:03:13Yes, just one last question. So I noticed that for the MS and the PHT, that you all have.
• 01:03:22The GRE as a requirement. A lot of programs around the country are essentially not requiring this, graduate students.
• 01:03:31So what specific insight do you think that this standardized test is giving you? That other departments around the country are missing in their assessments of students.
• 01:03:48Okay, so, this, JR. Requirement, I would say for our department and also for other file status that departments you know country it's a moving target so every year we revisit Henry discuss this this topic so and and if you look at other departments nationwide have I I don't really have a number but There are some I do know there are some departments who dropped this requirement and some
• 01:04:22others still have this requirement. So I. I think, we can still get some insight into, both writing and how quantitative scales of the students.
• 01:04:40So, So. Okay, it's a moving target and so we do appreciate how feedback inside from from you, from other applicants.
• 01:04:55As well as from our existing and past students.
• 01:05:03Okay, thank you.
• 01:05:04Okay, so it's 6 min past 9. Us time. And how I would like to thank her of you again all my colleagues and how So, our future applicants.
• 01:05:18So, after this meeting, if you have any questions, you are definitely Welcome to Rachel to us and if you want to tell to our other faculty just a drop email you can find our content information online and if you want you can also email me and I will be happy to make the introduction.
• 01:05:42So So I think right now it's really like exciting time to draw on biostat and how we have one of the strongest.
• 01:05:50Programs. In the US. So, we very much look forward to our applications and how we very much look forward to seeing you in the next fall.
• 01:06:03So thank you. The
• 01:06:08Okay, so take care.
• 01:06:09Thank you everybody.
• 01:06:13Thank you.
• 01:06:14Thank you, everyone. Good night.
• 01:06:16Thank youThank you