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Shenzhen University

China

Master of Complex System and Data Science

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Tuition €4,550 4550 EUR per academic year• Fee description: €4550 tuition fee per academic year, equivalent to 35000 RMB per academic year for science‑engineering master programmes. Non‑refundable application fee €26 is required at the moment of application submission. Tuition price is for 2026 intake and subject to official university adjustment. Qualified international applicants can apply for Chinese Government Scholarship and Shenzhen University scholarships which may cover full or partial tuition fees. Accommodation, mandatory medical insurance, residence permit charges, textbooks, computing‑resource extra‑costs and all personal living expenses are excluded from tuition. All charges shall comply with Shenzhen University financial regulations for international postgraduate students.
Country China

About this program

What this degree covers and what you can expect from the university.

This full‑time research‑focused English‑medium Master of Complex System and Data Science programme is hosted by Institute for Advanced Study of Shenzhen University. As an interdisciplinary subject, it integrates computer science, mathematics, statistics, system‑science and big‑data analytical technology. Main research directions include complex‑system modelling, large‑scale data mining, machine‑learning application, complex‑network analysis, multi‑sour
ce heterogeneous‑data processing, intelligent‑system simulation and data‑driven decision‑making research. This programme commits to fostering international‑oriented interdisciplinary high‑level talents, who grasp solid mathematical and computational theoretical foundation, master large‑dataset processing, data‑mining and algorithm‑development practical skills, own independent research‑innovation awareness and cross‑cultural academic‑exchange capacity. Curriculum comprises advanced core postgraduate courses, specialised elective modules, frontier interdisciplinary academic seminars, research‑group rotation, supervisor‑guided scientific‑research projects and master‑dissertation research. Core courses contain Advanced Complex‑System Theory, Big‑Data Mining and Analysis, Machine‑Learning Theory and Practice, Complex‑Network Modelling, High‑Performance Computing, Research Methodology for Interdisciplinary Science, Academic Paper Writing and Standardisation, plus serial seminars following global cutting‑edge complex‑system‑and‑data‑science hot‑spot topics. Within 2‑3‑year full‑time study period, students are required to finish all credit requirements, participate in institute‑organised academic conferences, complete multiple research‑group rotations, take part in faculty‑led research projects and accumulate abundant programming, data‑processing and system‑simulation practical experience. Each enrolled student will be assigned a supervisor with rich interdisciplinary‑project research experience. Under supervisor guidance, students will carry out comprehensive literature survey, research‑problem definition, model construction, algorithm realisation, large‑dataset experimental‑verification, data‑analysis‑and‑result‑interpretation, academic‑article writing and independent master‑thesis‑completion work. Applicants are required to provide authenticated bachelor‑degree certificate and complete official academic transcript from recognised higher‑education institutions. Applicants with computer‑science, mathematics, statistics, data‑science and other STEM‑related backgrounds will obtain priority in admission assessment. Non‑native‑English‑speaking applicants need valid English‑proficiency certification: IELTS overall band 6.5 or TOEFL iBT ≥90. Applicants with prior full‑degree education fully delivered in English can apply for language‑score exemption by submitting official supporting‑documents for university internal review. Applicant age generally shall not exceed 35 years‑old and physical‑mental health must satisfy Chinese student‑visa medical‑check‑standards. After completing all curriculum assessment criteria and successfully passing master‑thesis defence, graduates receive official master‑degree diploma awarded by Shenzhen University. Graduates can take research‑related positions in international data‑science research institutes, internet‑and‑AI high‑tech enterprises, digital‑technology‑research‑departments, or pursue further PhD‑level academic‑study worldwide.

Program overview

Key facts about what you will study and how the program is delivered.

Program length

Full‑time | 2‑3 Academic Years

How long it typically takes to complete this degree from start to finish.

Qualification level

Master

The academic level you will earn, such as Bachelor, Master, or PhD.

Field of study

Other

The subject area or faculty this program belongs to.

Country

China

The country where this university is based.

Language requirement

English

This program is taught in English. You may still need to submit an English proficiency test depending on your nationality and previous education.

Eligibility & requirements

Check whether your academic background matches what the university expects.

Entrance / admission test

Not required

No separate entrance test is listed for this program. The university may still review your academic profile and documents.

Admission intakes & deadlines

Application dates and milestones for each intake period. Deadlines may vary by applicant category.

September2026

Classes start September 2026

Opening soon

Timeline dates for this intake have not been published yet.

About the university

Learn more about the institution offering this program.

A comprehensive public university in Shenzhen, covering arts, science, engineering, business and law, with rapid development in applied research.
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