Study Data Science at East Carolina University, a Master degree offered at its main campus in Greenville , United States of America. This Full Time program is delivered on campus in English and takes approximately 2 years to complete. Students benefit from a structured learning experience designed to build both theoretical knowledge and practical experience. The next intake is scheduled for August 21, 2027.
Big data, machine learning and cloud computing have fundamentally changed how we live and work. Data science is the application of these technologies to solve difficult problems in several domains. Probability and statistics provide the underlying mathematical foundation. The core knowledge and skills of data science are applicable to a broad range of application domains.
Program Coordinator/Graduate Program Director: Nic Herndon (C-108 Science and Technology Building; 252-328-9696; [email protected])
The Data Science, MS is an interdisciplinary program designed to provide students with practical skills balanced with theoretical knowledge and professional practice.
Applicants to this program are required to follow the admissions requirements and process as stated in the admission and retention section of the graduate catalog and the graduate admissions website. To be admitted to the program, applicants must have earned a bachelor's degree in computer science or a related field. A minimum cumulative undergraduate GPA of 3.0 and a minimum score of 30th percentile on the GRE General test are required for regular admission. Those who do not meet the requirement may be admitted by exception. Decisions will be made on a case by case basis. Nonnative speakers must submit an acceptable score on one of the language tests approved by the Graduate School or have evidence of at least 1 year of college/university study in the United States.
Students with bachelor's degrees in engineering, mathematics, statistics, physics, chemistry, or similar analytic and quantitative disciplines may be required to complete additional courses before being admitted to the degree, such as discrete mathematics, data structures, as recommended by the graduate program director.
A minimum cumulative GPA of 3.0 must be earned for all graduate courses. No more than 6 s.h. of course work evaluated as a C may be counted toward the degree.
The degree requires a minimum of 30 s.h. as follows:
Choose one of the following options:
A thesis is required for this option. Students summarize their research in the form of a formal written document and deliver an oral presentation. Thesis research is typically conducted over two semesters. Six (6) s.h. count toward the degree requirements.
Twelve (12) s.h. of 6000-level data science (DASC), computer science (CSCI), software engineering (SENG), or other graduate courses approved by the graduate program director are required for this option. The semester hours from SENG courses must not exceed three (3) s.h. The semester hours from graduate courses outside of data science (DASC), computer science (CSCI), and software engineering (SENG) must not exceed nine (9) s.h.
To select electives, go to the list of CSCI, DASC, and SENG electives in part III.
A research project with a written report is required for this option. Students select topics for their projects in consultation with research advisors prior to the beginning of the last semester of study. The project involves collecting research literature on a topic of interest, critically examining it, and summarizing the research in the form of a formal technical report. This option may also involve developing software systems or proof of concept systems. Students must deliver an oral presentation of their findings. The research project is typically completed during the last semester of study. Fifteen (15) s. h. of 6000-level data science (DASC), computer science (CSCI), software engineering (SENG), or other graduate courses approved by the graduate program director are required for this option. The semester hours from graduate courses outside of data science (DASC), computer science (CSCI), and software engineering (SENG) must not exceed nine (9) s.h.
To select electives, go to the list of CSCI, DASC, and SENG electives in part III.
Eighteen (18) s.h. of 6000-level data science (DASC), computer science (CSCI), software engineering (SENG), or other graduate courses approved by the graduate program director are required for this option. The semester hours from graduate courses outside of data science (DASC), computer science (CSCI), and software engineering (SENG) must not exceed nine (9) s.h.
To select electives, go to the list of CSCI, DASC, and SENG electives in part III.
The coursework option requires an e-Portfolio comprehensive assessment. Please contact the program coordinator for more information.
Electives should be carefully selected after consultation with the graduate program director.
All ECU graduate programs require students to successfully complete a comprehensive requirement. This program requires the following:
Students are required to complete a Plan of Study Form in consultation with the graduate program director before they begin their graduate study. This is usually done during the week before the first day of classes of first semester.
In order to be considered for admission, international graduate applicants follow the same steps as a U.S. applicant with a few exceptions as identified in Red font. Step by step instructions are identified below:
An official course by course credential evaluation of all foreign transcripts indicating that, at minimum, the US equivalent of a bachelor’s degree has been awarded by an accredited college or university is required.
Graduates with this degree are successful in many fields and careers, including the following:
Careers not found.ECU has developed resources to help you learn more about career opportunities and job market outlook. In addition, the websites below provide specific information on careers in the various majors from which students may choose:
This website provides graphs and tables of in-depth information on employment rates, wages and ongoing higher education enrollment of graduates from the North Carolina Community College System and from the University of North Carolina system schools. NC Tower includes data on former UNC students who are working in roughly 90% of all jobs in North Carolina. This database excludes information for graduates who are:
This website also provides in-depth information regarding pay, projected new jobs, required education, growth rate and on-the-job training information on various occupations.
For information on internship information for specific majors, go to the home page of the department in which the major is located and, as available, find the link to the information on internships in that major.
Thank you for your interest in a graduate program at East Carolina University!
Contact information for each program, along with their application deadlines, can be found on the Find Your Program feature.
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United States of America, Greenville
