North Carolina A&T State University · USA

PhD in Computational Data Science and Engineering

Campus PhD Full Time

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Delivery

Campus

Study mode

Full Time

Level

PhD

Starts

Fall

Introduction

Computational Data Science and Engineering is a PhD program taught at North Carolina A&T State University, USA. Intake: Fall. The program is offered in campus-based modes with full-time options.

The PhD in Computational Data Science and Engineering at North Carolina A&T State University is designed for students to engage in advanced interdisciplinary research that merges theoretical foundations and practical applications of data science and computational techniques. The program focuses on the development of algorithms, models, and systems that facilitate the extraction and analysis of large datasets. Students will explore topics such as machine learning, data visualization, statistical modeling, and big data technologies.

The typical structure of this program involves coursework, comprehensive exams, and original research culminating in a dissertation. Students will work closely with faculty members known for their research in various domains, allowing them to tailor their studies around specific interests and applications in fields like healthcare, finance, and social media analytics. The combination of rigorous academic training and practical research experience equips graduates with both deep theoretical knowledge and hands-on skills.

By studying in the dynamic environment of North Carolina, students gain access to a vibrant technological ecosystem, diverse industry connections, and a collaborative community. This setting not only enhances the learning experience but also opens doors to real-world applications of data science, positioning students favorably in the job market.

Admission Requirements

The minimum requirements for admission in Computational Data Science and Engineering at North Carolina A&T State University for all applicants (Domestic or International) are:

program specific academic requirment set by North Carolina A&T State University.
English Language OR any other language requirments as set by North Carolina A&T State University as pre-requiste for admission in Computational Data Science and Engineering.

Note: Please check the university website in the link below.

Applicants to the PhD program in Computational Data Science and Engineering typically need a relevant master’s degree or equivalent qualifications. A strong background in computer science, engineering, mathematics, or a related field is often required. Additionally, candidates should demonstrate significant research potential and relevant experience through prior academic work or projects.

International students are generally required to demonstrate proficiency in English. This can be evidenced by achieving a minimum score of around 6.5 on the IELTS or 79 on the TOEFL. Higher scores are sometimes recommended for competitive admission.