Chongqing Medical University (CQMU)

Master in Pattern Recognition and Intelligent System (taught in Chinese)

China 3 years Taught in Chinese Open to international students

Why students choose this program

  • Tuition 45% below the typical master's
  • Applications currently open

About Master in Pattern Recognition and Intelligent System (taught in Chinese)

For Master in Pattern Recognition and Intelligent System (taught in Chinese), the deadline to apply for the Sep 2027 intake is Jun 15, 2027; tuition fees are 2,380 USD per year.

The Master in Pattern Recognition and Intelligent System is a 3-year program taught in Chinese. It's a Master's degree for students who want to learn about intelligent systems and pattern recognition.

The curriculum includes subjects like machine learning, data analysis, and computer vision. Students develop skills in programming, data modeling, and system development, with hands-on experience in labs and projects.

Graduates can work as Intelligent System Engineers, Pattern Recognition Specialists, Data Analysts, or Machine Learning Engineers in industries like technology, finance, or healthcare, with employers like tech companies or research institutions.

About Chongqing Medical University (CQMU)

Chongqing Medical University (CQMU) is a long-established public medical university in Chongqing, China, founded from historical roots in 1956. It offers a full spectrum of medical education from bachelor to postdoctoral levels and is recognized to enroll international students in English-medium medical programs. CQMU is affiliated with multiple top-rated teaching hospitals, providing a strong clinical training environment backed by significant patient volumes and research activity.

With nearly 20 colleges and departments, CQMU provides diverse programs across clinical medicine, biomedical sciences, and health disciplines. The university hosts large research projects supported by national funding and ranks competitively in medical publications and graduate education. International students benefit from structured clinical exposure, experienced faculty, and scholarship opportunities including Chinese Government and municipal awards.

Campus life is spread across two main campuses with dedicated international student housing and integrated services such as campus cards and banking. Accommodation is affordable, and campuses are well connected to Chongqing’s vibrant urban fabric, offering cultural experiences and practical amenities. CQMU is suited to students seeking rigorous clinical training in an affordable, research-active setting in one of China’s major inland cities.

This program's tuition is 45% below the typical master's in China.

Median tuition for that cohort is 4,462 USD, across 6,661 programs on Global Admissions.

Compare China master's programs

English Test Requirement

This program asks for IELTS 5.5-6.0. Here's what that's worth on the other tests universities accept, based on the official concordance tables:

Duolingo

English Test · fastest & cheapest

85–95

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TOEFL iBT
46–59
PTE Academic
42–49
CEFR level
B1/B2
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Equivalences are approximate — confirm the exact test and score the program accepts.

Master in Pattern Recognition and Intelligent System (taught in Chinese): Frequently Asked Questions

What are the fees for Master in Pattern Recognition and Intelligent System (taught in Chinese)?
Tuition: USD 2,379.85 per year. Application fee: USD 95. Service fee: USD 90.
What are the entry requirements for Master in Pattern Recognition and Intelligent System (taught in Chinese)?
Entry requirements include: Education: High School; Academic performance: Grade C-B (55%-60%, GPA 2-2.5); English: IELTS 5.5-6.0; Age: 18-35.
How long is the Master in Pattern Recognition and Intelligent System (taught in Chinese) program?
The program duration is 3 year.
What is the application deadline?
The application deadline is 2027-06-15.
Is Master in Pattern Recognition and Intelligent System (taught in Chinese) available online?
This is an on-campus program at Chongqing Medical University (CQMU).

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