UCF Master of Science in Data Analytics (Big Data)

Master of Science in
Data Analytics (Big Data)

Master of Science in Data Analytics

College of Engineering and Computer Science
College of Sciences

There is an increasing need to turn large and complex amounts of data into knowledge to drive business decisions. Companies are looking for people with the technical skills to manipulate, manage, and interpret data. Become an expert in the fast-growing field of analytics to see the big (data) picture.

What is the UCF MS in Data Analytics?

The MS in Data Analytics is a 30 credit hour interdisciplinary program that prepares students to develop algorithms and computerized systems to facilitate the discovery of information from large amounts of data. It will utilize the technical aspects of big data analytics, including algorithm design, programming, acquisition, management, mining, analysis, and interpretation of data.



Spring 2020 Domestic Students Admission Application December 1, 2019
Fall 2020 International Students Admission Application January 15, 2020
Fall 2020 Domestic Students Admission Application July 1, 2020



Learn employable technical skills on Big Data.

The curriculum includes using technologies that industry uses and prefers.


Get Started!

Fill out the form below and we'll send you more information about the program.

Hidden Fields


International Students Information

Channel 13 Special Assignment Report


Paid Internships Available

What will you learn?

  • Use state-of-the-art software tools to perform data mining and analysis on large structured and unstructured data sets, and transform such data into knowledge.
  • Design and implement new algorithms for data mining and analysis, and study their time-, space-, and energy-efficiency.
  • Perform data acquisition and management for extremely large and dynamic databases.
  • Present and communicate knowledge derived from data in an unambiguous and convincing manner.
Complete in 20 months highlight


  • 30 credit hours to completion
  • Completion in 16 (full time option) or 20 months
  • Face to Face instruction, offering convenient evening and weekend classes
  • Taught by UCF Faculty with strong connections to Data Analytics
  • Cohort model for strong peer support
  • Courses are offered two per semester
  • International Students are eligible for paid internships via the UCF Office of Experiential Learning
  • International Students are eligible for Optional Practical Training (OPT) status after graduation
Convenient Schedule

Course of Study

Electives (must choose 2):

* Sample Syllabus, provided as an example only!

Help companies use large amounts of data in innovative ways.

Job titles associated with this field:

Data Scientist • Data Analyst • Data Architect • Data Engineer • Data Mining Specialist • Business Intelligence Analyst • Big Data Engineer • Big Data Scientist • Database Administrator


Apply Now

Meet Our Faculty Members

Dr. Garibay
Dr. Ivan Garibay
Program Director


Dr. Chatterjee
Dr. Mainak Chatterjee


Dr. Li
Dr. Daoji Li


Dr. Glinos
Dr. Demetrios Glinos


Dr. Liu
Dr. Fei Liu


Dr. Ozlem Garibay
Dr. Ozlem Garibay
Dr. Hu
Dr. Haiyan Nancy Hu


Dr. Pattanaik
Dr. Sumanta Pattanaik


Dr. Nizam Uddin
Dr. Nizam Uddin
Dr. Hua
Dr. Kien A. Hua


Dr. Qi
Dr. Guo-Jun Qi


Dr. Varadvaj Gurupur
Dr. Varadvaj Gurupur
Dr. Huang
Dr.Hsin-Hsiung Huang


Dr. Sukthankar
Dr. Gita Sukthankar


Dr. Liqiang Wang
Dr. Liqiang Wang
Dr. Jha
Dr. Sumit K. Jha


Dr. Wang
Dr. Chung-Ching Wang

Admission Requirements

The requirements for admission include an undergraduate degree, official GRE/TOEFL scores, a resume, letters of recommendation (encouraged but not required) and the demonstration of understanding in fundamental concepts. The program’s director, assisted by the program’s faculty, will evaluate student applications. Face-to-face or telephone interviews may be conducted for admission. The details of the admission requirements are as follows:

Bachelor’s Degree

Applicants must have earned a bachelor’s degree from an accredited institution with a GPA of 3.0 or better. One official transcript (in a sealed envelope) is required from each college/university attended.

Test Scores

Official, competitive GRE and TOEFL (if applicable) scores taken in the last five years must be provided with the application. At the discretion of the program director, conditional admission can be granted with pending GRE scores.

Working Knowledge of Fundamental Concepts

Applicants without a strong undergraduate background in Computer Science or Statistics must demonstrate an understanding of the material covered in the following undergraduate courses:

  • COP 3503 Computer Science II – Algorithms, Data Structures
  • COP 3330 Object-Oriented Programming – Object-Oriented Programming Concepts, Expression of Concepts in a Language
  • COP 4710 Database Systems – Relational Databases, Structured Query Language
  • STA 2023 Statistical Methods I – Probability Distributions, Data Organization
  • STA 4164 Statistical Methods III – Regression Analysis

Understanding of these concepts can be demonstrated by a combination of the following:

  1. Taking these courses; OR
  2. Convincing the program director that the student work experience covers these materials; OR
  3. Having taken these courses at UCF or equivalent courses at another institution; OR
  4. At the recommendation of the program director, registering in the statistics Bridge Course, the Computer Science Bridge Course or both. These 4-week bridge courses are free.

Tuition & Fees


Total Program Cost
*(Includes credit hours, fees, and administrative costs. Textbooks not included.)


Graduate Fellowships Information


Financial Aid Information


International Students Information


Most Innovative Badge
Apply Now

For more information please contact:

Interested candidates for the MS in Data Analytics can find additional information, admission requirements, and application information in our Graduate Catalog. You can also contact our Student Success Coach Mr. Moises Melendez at moises.melendez@ucf.edu / (407)823-6656.

Our Partners

Leidos IBM Lockheed Martin Duke Energy Nielsen Deloitte

Siemens Blue Health Intelligence Disney EA

MSDA Board Members