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The curriculum covers statistics, computer science, mathematics, and interdisciplinary areas, with elective modules including Statistics and Analysis, Systems and Data Mining, and Data Science for Social Science. Graduates are prepared for roles in leading internet and finance sectors and for further study in fields such as statistics, computer science, and analytics.",{"@graph":69,"@context":126},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/2026-undergraduate-international-program-in-data-science-and-big-data-technology-uipdb-program-overview/206020/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/2026-undergraduate-international-program-in-data-science-and-big-data-technology-uipdb-program-overview/206020.png","ImageObject",300,407,{"name":92,"@type":93},"Felix Montgomery","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-01","2026-09-05",true,{"@type":102,"interactionType":103,"userInteractionCount":56},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118,122],{"name":109,"@type":110,"acceptedAnswer":111},"What is the program length and teaching language for UIPDB?","Question",{"text":112,"@type":113},"UIPDB is a four-year full-time undergraduate program, taught in English (courses offered by SDS).","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What elective modules are included in the UIPDB curriculum?",{"text":117,"@type":113},"Students choose elective courses from three specialized modules: Statistics and Analysis, Systems and Data Mining, and Data Science for Social Science.",{"name":119,"@type":110,"acceptedAnswer":120},"What are the main application qualification requirements?",{"text":121,"@type":113},"Applicants must be non-Chinese citizens with foreign passports, be high school graduates or above, and be physically and mentally healthy with no criminal record. 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It provides students with a comprehensive background in statistics, computer science, mathematics and applied disciplines related to big data, together with an in-depth understanding of interdisciplinary studies and artificial intelligence. Elective courses are offered in three specialized modules: Statistics and Analysis, Systems and Data Mining, and Data Science for Social Science.  \nOur graduates would be well equipped to accept the positions with leading internet companies, financial institutions, as well as to be employed in government departments. This major is also fully prepared for graduate studies, such as in statistics, computer science, business analytics, or medical analysis.  \nMission  \nTo equip our students with solid data science knowledge, creative minds, practical skills, leadership spirit and social responsibility that lead to both advancement of wisdom and success in big data-related  \nindustries.  \nHighlights  \n􀁺 The first School of Data Science established in China, characterized by interdisciplinary integration, with big data analytics as its core, and supported by three foundational disciplines: statistics, computer science, and computational mathematics. It engages in in-depth interdisciplinary research and promotes the application of achievements across fields such as information science, life sciences, medicine, economics, sociology, management, environmental science, and engineering. The school is also dedicated to cultivating talent in the field of data science.  \n􀁺 Taught in English (courses offered by SDS)  \n􀁺 Curriculum in line with international standard that facilitates global recognition and international exchange  \n􀁺 Courses for an in-depth understanding of China  \n􀁺 Rigorous academic training and professional mindset fostering  \n􀁺 Outstanding faculty  \n􀁺 Student-oriented academic and career support  \nCurriculum (for reference only)  \n\n| University Core |  | Credits |\n| --- | --- | --- |\n| Core General Education Course |  | 10 |\n| Specific\u003Cbr>General\u003Cbr>Education\u003Cbr>Course | Towards Artificial Intelligence | 19 |\n|  | Innovation and Entrepreneurship |  |\n|  | China: A General Survey |  |\n|  | English Courses (For non-native English speakers) |  |\n|  | Second Foreign Language |  |\n\n\n|  | Chinese Courses |  |  |\n| --- | --- | --- | --- |\n| Major Required |  |  | Credits |\n| Basic Courses | Calculus/ Mathematical Analysis BI/Advanced Mathematics |  | 18 |\n|  | Linear Algebra |  |  |\n|  | Python Programming |  |  |\n|  | Introduction to Computer Science |  |  |\n| Professional\u003Cbr>Core Courses | Mathematics | Mathematical Foundation of Data Science | 41 |\n|  |  | Probability and Statistics |  |\n|  |  | Optimization |  |\n|  | Statistics | Fundamental Statistics and R Software |  |\n|  |  | Statistics Learning |  |\n|  | Machine Learning & AI | Deep Learning |  |\n|  |  | Data Structures |  |\n|  |  | Algorithms for Data Science |  |\n|  |  | Reinforcement Learning |  |\n|  |  | Artificial Intelligence |  |\n|  | Topics in Data Science |  |  |\n|  | Professional Internship |  |  |\n|  | Thesis |  |  |\n| Major Modules |  |  | Credits |\n| Statistics and Analysis |  |  | 24 |\n| Systems and Data Mining |  |  |  |\n| Data Science for Social Science |  |  |  |\n| Free Electives |  |  | Credits |\n| Any courses offered in Fudan University |  |  | 10 |\n| Total Credits |  |  | 122 |\n| *Official curriculum subject to final approval. |  |  |  |\n\nProgram Duration: 4 years  \nApplication Qualification:  \n1 . Basic Qualification:  \n(1) Non-Chinese citizens holding foreign passports .  \n(2) High school graduate or above , with eligibility for university application .  \n(3) Physically and mentally he","cbCaivuj8GSMbvNX","https://ap.wps.com/l/cbCaivuj8GSMbvNX","pdf",830769,15,"English","# Program Overview\n## Mission and Highlights\n## Curriculum (for reference only)\n## Program Duration and Application Qualification\n## Application Period and Procedure","[{\"question\":\"What is the program length and teaching language for UIPDB?\",\"answer\":\"UIPDB is a four-year full-time undergraduate program, taught in English (courses offered by SDS).\"},{\"question\":\"What elective modules are included in the UIPDB curriculum?\",\"answer\":\"Students choose elective courses from three specialized modules: Statistics and Analysis, Systems and Data Mining, and Data Science for Social Science.\"},{\"question\":\"What are the main application qualification requirements?\",\"answer\":\"Applicants must be non-Chinese citizens with foreign passports, be high school graduates or above, and be physically and mentally healthy with no criminal record. Additional nationality-related requirements apply to applicants with specific Chinese-citizen parent and residence/citizenship conditions.\"},{\"question\":\"When are the two application phases in 2026?\",\"answer\":\"Phase 1 runs from January 1 to January 15, 2026; Phase 2 runs from February 23 to March 6, 2026.\"}]","2026 Undergraduate International Program in Data Science and Big Data Technology (UIPDB) - Program Overview | PDF",38]