Computational Data Science and Engineering

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.

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.

International students must secure a student visa to study in the United States. Essential documents usually include a valid passport, proof of acceptance into the program, financial statements demonstrating the ability to support oneself during studies, and other documentation as required by the U.S. immigration authorities. It is advisable to check the official requirements for the most current information.

• Data Scientist
• Machine Learning Engineer
• Data Engineer
• Quantitative Analyst
• Research Scientist
• Big Data Consultant
• AI Specialist
• Software Developer in Data Solutions