what are the big data course expectations at phd level 1

What is a PhD in Big Data Analytics?

The Ph.D. in Big Data Analytics requires 72 hours beyond an earned Bachelor’s degree. Required coursework includes 42 credit hours of courses, 15 credit hours of restricted elective coursework, and 15 credit hours of dissertation research. In general, students cannot use Independent Study to substitute for a required or elective course.

What will I learn in this big data course?

Students must have the following background and courses completed before applying to the Big Data Analytics PhD program. These courses are: MAC 2311C: Calculus with Analytic Geometry I, MAC 2312: Calculus with Analytic Geometry II, MAC 2313: Calculus with Analytic Geometry III, MAS 3105: Matrix and Linear Algebra or MAS 3106: Linear Algebra, COP 3503C - Computer …

What are the requirements for a PhD in data science?

The Ph.D. program intends to prepare students to fill the need for skilled positions, including leadership positions, in business and industry, as well as for positions in academia to conduct research and teach data analytics at the graduate level. Our award-winning Data Mining Program, the nation’s oldest data mining program, offers an established educational environment …

How long does it take to get a PhD in statistics?

Curriculum. The PhD in Big Data Analytics is built on an interdisciplinary infrastructure that draws from expertise across USF. Students entering the program will take core courses during the first two years of study. These core courses reach across several different colleges and include coursework in mathematics and statistics, computer science and engineering, industrial and …

How many credits are required for a PhD in Big Data Analytics?

Required coursework includes 42 credit hours of courses, 15 credit hours of restricted elective coursework, and 15 credit hours of dissertation research. Students must have the following background and courses completed before applying to the Big Data Analytics PhD program.

What is independent learning in big data?

As will all graduate programs, independent learning is an important component of the Big Data Analytics doctoral program. Students will demonstrate independent learning through research seminars and projects and the dissertation. Application Requirements.

What is the minimum GPA required for a bachelor's degree in statistics?

The student should have a minimum cumulative GPA of 3.0 for all bachelor's level work completed.

How many hours of research is required for a dissertation?

The dissertation will be completed through a minimum of 15 hours of dissertation research credit. Independent Learning.

How many times can you take the candidacy exam?

The candidacy examination can be taken no more than two times . If a student does not pass the candidacy exam after the second try, he/she will be removed from the program. Admission to Candidacy. The following are required to be admitted to candidacy and enroll in dissertation hours.

What is a PhD in Big Data Analytics?

The PhD in Big Data Analytics is built on an interdisciplinary infrastructure that draws from expertise across USF. Students entering the program will take core courses during the first two years of study. These core courses reach across several different colleges and include coursework in mathematics and statistics, computer science and engineering, industrial and management systems engineering, psychology, public health and business. In addition to core courses, students will also have the ability to take elective courses depending on their specific areas of interest.

Do students need to get teaching expertise?

Students are strongly encouraged to obtain teaching expertise during their course of study, especially those who intend to apply for an academic position . Applicants who aim for academic positions will be encouraged to apply for assistantships where teaching is a component.

How many credits do you need to get a PhD in data science?

On average, it takes 71 credits to graduate with a PhD in data science — far longer (almost double) than traditional master’s degree programs. In addition to coursework, most PhD students also have research and teaching responsibilities that can be simultaneously demanding and really great career preparation.

What is a data science PhD?

Historically, data science PhD programs were one of the main avenues to get a good data-related position in academia or industry. But, PhD programs are heavily research oriented and require a somewhat long term investment of time, money, and energy to obtain.

How long does it take to get a PhD?

A PhD requires a lot of academic work, which generally requires between four and five years (sometimes longer) to complete. Here are some of the high level factors to consider and evaluate when comparing data science graduate programs.

What is the issue with data science?

The issue that some data science PhD holders are reporting, especially in industry settings, is that that the state of the art is moving so quickly, and that the data science industry is evolving so rapidly, that an abundance of research oriented expertise is not always what’s heavily sought after.

What is the final step of a PhD program?

One of the final steps of a PhD program involves presenting original research findings in a formal document called a dissertation. These will provide background and context, as well as findings and analysis, and can contribute to the understanding and evolution of data science. A dissertation idea most often provides the framework for how a PhD candidate’s graduate school experience will unfold, so it’s important to be thoughtful and deliberate while considering research opportunities.

How many credits are needed for a PhD?

The PhD is comprised of 24 credits of a data science core, 18 credits of methods courses, 18 credits of a specialization, written and oral qualifying exams, and 30 credits of dissertation research. All requirements must be completed within 7 years.

What is a kaggle competition?

Kaggle competitions provide the opportunity to solve real-world data science problems and win prizes. A list of data science problems can be found at Kaggle.com. Winning one of these competitions is a good way to demonstrate professional interest and experience.

What does SAP stand for in college?

Satisfactory Academic Progress (SAP) must be maintained by students. A student will not be in good academic standing if he/she has an overall grade average below B (3.0 GPA), has more than three incomplete grades, fails to pass the qualifying exam by the end of his/her third year, or fails to make satisfactory progress with research as determined by the student’s thesis committee. If a student does not maintain SAP, he/she risks academic probation, loss of funding, and removal from the graduate program.

What is PBC 590?

Independent Research (PBC 590), Units of Independent Research (PBC 590), will be taken to fill out your full time registration during your first 8 quarters (including summer). These are taken with your major advisor and involve working on your dissertation research.

What is an ad hoc review committee?

An ad hoc, interprofessional review committee consisting of representatives from VHA, NIH, and an external health care partner with expertise in learning health care systems will review and assess each site’s application.

How to contact Kim Uhl?

For information or questions related to the application process, please contact Kim Uhl by email at [email protected] or by phone at (562) 826-5996. For information or questions related to this announcement, please contact Frank Meng by email at [email protected] or Colleen Shannon at [email protected].

What is the role of a sponsoring VA facility?

The sponsoring VA facility must actively conduct research in clinical oncology and/or hematology, big data/bioinformatics, and health services and have documented success in collaborating with academic universities and understanding how to provide non-clinical fellows with the baseline exposure they need to better understand the healthcare environment.

What is OAA notification?

OAA must be notified of significant changes to fellowship program, including issues such as change in leadership, insufficient funding, or any other reason why the approved proposal is not being implemented as planned. Sites that do not execute the program as described in this announcement are subject to remediation and potentially to loss of site approval.

Big Data Foundations

This badge is earned after successfully completing all course activities and passing the test of the following Cognitive Class course:

Big Data 101

How big is big data? What does Apache Hadoop have to do with big data? In this course you will learn the basic big data concepts and terminology, and how big data isn't just about the size of data.

What is a Coursera specialization?

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization.

What is Hadoop framework?

It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!

Is UC San Diego a public university?

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory. Industry Partners.