Policy Momentum: Launching the 2026 Data Elements Value Release Year

In late 2025, China marked a pivotal moment in its digital transformation journey when the National Data Conference designated 2026 as the "Data Elements Value Release Year." This initiative aligns with the onset of the 15th Five-Year Plan ("Fifteenth Five-Year Plan"), emphasizing the full mobilization of data as the fifth factor of production to drive new quality productive forces. The announcement underscores China's strategic push to unlock data's economic potential through market-oriented reforms, AI empowerment, and robust talent development in higher education.

Central to this effort is the joint policy document issued by the National Development and Reform Commission (NDRC), National Data Bureau, Ministry of Education (MOE), Ministry of Science and Technology (MOST), and the Organization Department of the Communist Party of China Central Committee. Titled "Opinions on Strengthening Data Elements Discipline and Professional Construction and Digital Talent Teams Construction" (发改数据〔2025〕1425号), it outlines a comprehensive framework to cultivate specialized talent for data marketization and AI-driven innovation. This policy responds to the growing demand-supply mismatch in digital skills, where China's data industry—boasting over 190,000 enterprises and a scale exceeding 2 trillion yuan—faces a talent gap of 25-30 million professionals.

Understanding Data Elements in China's Digital Economy Vision

Data elements refer to structured and unstructured data resources that, when processed, become key production inputs alongside labor, capital, land, technology, and management. China's recognition of data as a foundational element stems from the 20th National Congress and subsequent directives, including the "Data Elements ×" Three-Year Action Plan (2024-2026), which aims to create over 300 demonstration scenarios by 2026 to amplify data's multiplier effects across sectors. In higher education, this translates to urgently building interdisciplinary programs that equip students with data literacy, engineering skills, and domain expertise.

Higher education institutions (HEIs) are positioned at the nexus of education, science, and talent development for Digital China. Traditional metrics like publications have lagged industry needs, prompting a shift toward application-oriented, problem-driven curricula that integrate data across disciplines—from social sciences to engineering.

Key Directives: Optimizing Disciplines and Talent Pipelines

The Opinions advocate a tiered approach: at the undergraduate level, support for majors like Data Science and Big Data Technology, Digital Economy, and emerging "micro-professionals" such as Data Security and Digital Governance. Over 2,000 such professional points exist nationwide, with 294 universities newly approved for Big Data Management and Application in 2025 alone. Graduate programs are expanding, with over 100 universities offering master's in Digital Economy and Data Science, and doctoral points at institutions like East China Normal University (ECNU) and Southeast University (SEU).

Vocational education is equally prioritized, with 3,200+ schools hosting 11,000+ points in digital economy and technology programs. Measures include industry-led teaching committees, joint training bases ("school-in-factory, factory-in-school"), and scenario-based curricula developed with enterprises.Explore faculty positions in these evolving programs at AcademicJobs China listings.

• Establish data vocational teaching guidance committees.
• Build city-level and cross-regional industry-education consortia.
• Develop handbook-style textbooks and project-based cases.

Leading Universities Spearheading Data Discipline Expansion

Elite institutions are at the forefront. Peking University (PKU), Nankai University, Xi'an Jiaotong University (XJTU), and Zhongnan University of Economics and Law (ZUEL) offer flagship undergraduate majors in Digital Economy, Big Data Management, and Data Science with Big Data Technology. Tsinghua University integrates statistics, digital tech, and AI into its Zhishan Academy curricula for social sciences like political science and sociology.

Tongji University developed CivilGPT, a civil engineering large model, earning MOE recognition for industry-academia fusion. Shanghai International Studies University (SISU) is pioneering "Language Data Science and Application." Rankings highlight Nankai and ECNU as top for Data Science and Big Data Technology (5☆+ level).

The University of International Business and Economics (UIBE) convened a dedicated advancement meeting on January 5, 2026, to align data disciplines with the national Opinions. Multiple other HEIs have followed suit, incorporating data professionals into their 15th FYP plans.Tailor your CV for data roles in these programs.

Bridging the Talent Gap: From Demand to Supply Challenges

China's digital economy demands compound talents blending data skills with industry knowledge, yet shortages persist in high-end roles. The 2024 National Data Resources Survey reveals surging new tracks and positions, but higher education's paper-centric evaluations exacerbate mismatches.

Solutions emphasize data literacy for all students: Capital University of Economics and Business embeds economic-trade digital courses in general education. Pathways include major construction (e.g., Data Science and Engineering), curriculum integration, textbook development (e.g., Higher Education Press series), and virtual labs via national platforms.

Industry-Academia Synergy: Fostering Practical Talent

Prod-ed fusion is core: Joint real-training bases like Yangzhou University's collaborations, expert co-teaching, and data-sharing platforms (e.g., CoNet with 21,000 resources, boosting efficiency 6.5x). National Data Bureau chief Liu Liehong stresses enterprise-led scenarios, with firms providing topics, joint solutions, and market validation.

Research thrives via organized efforts: Data journals, strategic studies on pricing/trading, and frontier tech like privacy computing. Platforms like data prod-ed fusion innovation hubs at top universities accelerate this.Read the full NDRC policy.

• Construct characteristic colleges and cross-disciplinary platforms.
• Open enterprise tech/scenario/data for training.
• Track employment for dynamic adjustment.

Vocational and Graduate Tracks: A Multi-Level Ecosystem

Beyond undergrads, master's at Tsinghua/Wuhan U and PhDs at RUC/NENU target advanced needs. Vocational tracks produce "digital craftsmen" via 3200+ schools.Postdoc opportunities in data fields abound.

Teacher training, industry experts as adjuncts, and scenario curricula ensure alignment. By 2026, expect scaled pilots in micro-professionals like Health Big Data.Liu Liehong's insights on talent integration.

Overcoming Hurdles: Data Islands, Literacy Gaps, and Evaluation Reforms

Challenges include data silos, uneven literacy, and rigid assessments. Responses: Open sharing, universal literacy, and competency-based evals. Long-term accumulation is key for sustainable ecosystems.

Global Benchmarks and China's Rise

China leads in data volume but trails in value extraction; HE reforms position it competitively. Compare to global: China's 12.7M grads in 2026 dwarf others, with STEM focus surging.Check university rankings.

Photo by Wang Whale on Unsplash

Future Horizons: 2026 and Beyond

2026 pilots will scale, supporting AI+ actions and market reforms. Implications: Booming careers in data engineering, digital finance. Find higher ed data jobs, Rate professors, Career advice, University jobs, Post a job.

China's HEIs are forging a talent engine for Digital China, blending policy, innovation, and practice.