Data Computing and Applications is an interdisciplinary program that integrates mathematics, data science, and computer science to meet international standards and societal needs. The program emphasizes the development of students' mathematical proficiency, big data computing, and application skills. Graduates are expected to possess a solid foundation in mathematics and strong mathematical thinking abilities, along with a deep understanding of data science and big data technologies. The program prepares students to engage in scientific research, software development, and data processing in various industries.

Program Features

Multidisciplinary Focus: Combines mathematics, data science, and computer science, equipping students with a well-rounded skill set.

Mathematical Proficiency: Emphasis on developing a strong mathematical foundation and logical thinking to solve complex data problems.

Big Data Expertise: In-depth training in data science and big data technologies, preparing students for the rapidly growing field of data-driven applications.

Practical Application: Strong focus on developing practical skills, including data processing, software development, and scientific computation, to meet industry demands.

International and Collaborative Perspective: The program fosters an international outlook and collaborative skills, preparing students to work in global teams and diverse environments.

Career Prospects
Graduates of this program can work in data processing, scientific computing, software development, and data analytics across various sectors, such as finance, technology, healthcare, and research. They will be capable of taking on roles such as data scientists, software engineers, computational analysts, and big data specialists, contributing to data-driven innovations and applications in industries worldwide. Their strong mathematical foundation and engineering application abilities make them versatile professionals in the evolving data-driven world.