Overview
The Big Data Analytics - Statistics program at the University of Central Florida will train researchers with a strong statistics background to analyze massive, structured or unstructured data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions.
Features
The track will provide a strong foundation in statistical theory and the major methodologies associated with Big Data Analytics such as predictive analytics, data mining, text analytics and statistical analysis with an interdisciplinary component that combines the strength of statistics and computer science.
Programme Structure
Courses include:
- Conventional Survey Methods
- Bayesian Survey Methods
- Statistical Applications of Matrix Algebra
- Statistical Methodology for Data Science
- Multivariate Statistical Methods
- Applied Time Series Analysis
- Survival Analysis
- Massive Data Modeling and Analysis
- Deep Learning
- Network Science
- Parallel and Distributed Database Systems
Key information
Duration
- Full-time
- 84 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
Credits
Delivered
Campus Location
- Orlando, United States
Disciplines
Statistics Data Science & Big Data Data Analytics View 86 other PhDs in Statistics in United StatesWhat students do after studying
Academic requirements
English requirements
Other requirements
General requirements
- A Bachelor’s degree or its equivalent in statistics, data analytics or a related field from an accredited U.S. institution recognized by UCF or its equivalent from a foreign institution.
- A current curriculum vitae.
- A personal statement identifying the area of research interest and a description of the applicant’s academic and professional experiences.
- Three letters of recommendation.
- The student should have a minimum cumulative GPA of 3.0 for all bachelor’s level work completed.
- Applicants to this program who have attended a college/university outside the United States must provide a course-by-course credential evaluation with GPA calculation.
Tuition Fees
-
International Applies to you
Applies to youNon-residents22988 USD / year≈ 22988 USD / year - Out-of-State22988 USD / year≈ 22988 USD / year
-
Domestic
Applies to youIn-State6664 USD / year≈ 6664 USD / year
Living costs
Orlando
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find PhD's scholarship opportunities for Big Data Analytics - Statistics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility