• The Stirling College of Digital Education at Hebei Normal University is established in direct response to the national strategy of "Artificial Intelligence + Education." The College operates at the intersection of intelligent science, mathematics, and education, promoting interdisciplinary integration across these three core fields. Our educational mission is to cultivate high-calibre professionals who possess both a deep commitment to their country and a broad international perspective, who combine scientific inquiry with humanistic reflection, and who demonstrate strong cross-cultural communication skills and autonomous learning capabilities. Students are equipped with cutting-edge knowledge in artificial intelligence and education, preparing them for specialised and leadership roles in data science, artificial intelligence, and digital education. Graduates emerge as globally oriented, multi-disciplinary talents ready to contribute to the evolving landscape of education and technology。
  • The College offers three undergraduate majors: Intelligent Science and Technology, Data Computing and Applications, and Educational Technology. These four-year majors adopt a "4+0" delivery model, with the entire four years of study conducted at the Hongqi Campus of Hebei Normal University. Please note that students admitted to majors within this College are not permitted to transfer to other majors outside the College. Upon satisfying the graduation and degree award requirements of both universities within the prescribed period of study, students will be awarded the Undergraduate Graduation Certificate and Bachelor's Degree Certificate from Hebei Normal University, along with the Bachelor's Degree from the University of Stirling.
  • The College offers three undergraduate majors: Intelligent Science and Technology, Data Computing and Applications, and Educational Technology. For the 2026 intake, recruitment will be open for two majors: Intelligent Science and Technology (85 places for Hebei-based applicants, 15 places for applicants from other provinces) and Data Computing and Applications (85 places for Hebei-based applicants, 15 places for applicants from other provinces). All places are restricted to candidates in the Physics group of the National College Entrance Examination.
  • Intelligent Science and Technology Major
    Intelligent Science and Technology Major简介
    The Intelligent Science and Technology Major is established in direct response to the national strategic priority of "Artificial Intelligence + Education." As an engineering discipline, it offers a comprehensive training pathway from data intelligence to cutting-edge applications, with a particular emphasis on AI engineering applications and system development. The major places strong emphasis on practical competence, engineering proficiency and technological innovation, demanding a high level of applied and hands-on ability from its students. It is ideally suited to those with an interest in artificial intelligence, robotics and intelligent software development, who possess strong practical skills and a genuine enthusiasm for programming, and who wish to pursue careers in AI engineering, intelligent system development and software research and development.
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  • Data Computing and Applications Major
    Data Computing and Applications Major简介
    The Data Computing and Applications Major is a newly established major, developed in response to the national "New Engineering Disciplines" initiative and the evolving demands of digital development. It is an applied science discipline in which mathematics and statistics provide the theoretical foundation, computer science serves as the implementation tool, and data science constitutes the core application area. The major emphasises the systematic integration of mathematical modelling, data analysis and computational implementation, and demands particularly strong logical thinking and mathematical ability. It is ideally suited to students with an interest in data analysis, statistical modelling, algorithms and scientific computing, who aspire to pursue careers in data science, financial analysis, fundamental research in artificial intelligence or computational modelling.
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  • Educational Technology Major
    Educational Technology Major简介
    The Educational Technology Major is an interdisciplinary major established in response to the national strategy for educational digitalisation, promoting the deep integration of technology and education. It is built on the theoretical foundations of education and psychology, employs computer science and information technology as its implementation tools, and takes learning sciences and instructional design as its core application areas.
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NEWS More>>
  • Li Guijun delivers first semester lecture to 2026 cohort

    On the afternoon of 17 September, Li Guijun, Deputy Secretary of the CPC Hebei Normal University Committee and President of Hebei Normal University, delivered the "First Lecture of the Semester" to th

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  • Stirling Digital Education College holds 2026 intake opening ceremony

    On the afternoon of 13 October, the opening ceremony for the 2026 intake of Stirling Digital Education College was held at the Concert Hall, Hongqi Campus. Li Guijun, Deputy Secretary of the CPC Hebei

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  • Official release: SDEC opens 2026 admissions application process

    Admissions applications for the Stirling Digital Education College (SDEC) at Hebei Normal University are now open. Prospective students are welcome to apply for programmes at SDEC and other Sino-fo

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  • SDEC receives official approval from Ministry of Education

    The Ministry of Education has officially approved the establishment of the Stirling Digital Education College (SDEC) at Hebei Normal University, in partnership with the University of Stirling in th

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  • Spotlight: SDEC hosts live session on Sino-foreign cooperative education

    The Stirling Digital Education College (SDEC) at Hebei Normal University held a special live broadcast on its Sino-foreign cooperative education programmes on 28 June 2026. The session provided det

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