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.
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.
|International Students Admission Application||January 15, 2019*|
|Domestic Students Admission Application||July 1, 2019|
|*Late Fall 2019 Applications may be considered, contact us for more information.|
Channel 13 Special Assignment Report
Electives (must choose 2):
Data Scientist • Data Analyst • Data Architect • Data Engineer • Data Mining Specialist • Business Intelligence Analyst • Big Data Engineer • Big Data Scientist • Database Administrator
Dr. Ivan Garibay
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:
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.
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.
Applicants without a strong undergraduate background in Computer Science or Statistics must demonstrate an understanding of the material covered in the following undergraduate courses:
Understanding of these concepts can be demonstrated by a combination of the following:
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 firstname.lastname@example.org / (407)823-6656.