B.A. in Mathematical Sciences - Data Analytics in Wenzhou Shi Zhejiang Sheng China | Wenzhou-Kean University

Wenzhou-Kean University | Wenzhou Shi Zhejiang Sheng China
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Qualification
Bachelor's Degree
Languages
English
Delivery Mode
On-Campus
Tuition (2026)
CNY 68,000
(c. USD10,038.98)
Attendance
Full-time
Full-time Duration
48 months

The WKU Mathematical Sciences program with emphasis on Data Analytics is provides a sufficient background in Mathematics, Statistics and Data Analytics. Mathematics is essential for Data Analytics. Data Analytics, and its associated field, is one of the fastest growing employment opportunities in the world. The degree is structured to allow additional and elective courses electives in mathematics, business and computer science that enable the student to focus on a variety of further areas of interest. Students are strongly encouraged to take a minor in their applied field of interest such as Computer Science, Finance, Economics etc.

The Mathematical Sciences program is committed to developing students with a solid theoretical knowledge of Mathematical and Statistics concepts and nurturing them to work with a variety of more practical methods including predictive/prescriptive analytics, Big Data Computing, Applied Machine Learning, Statistical Data Mining and Data Visualization using programming environments such as R, MATLAB and Python.Many courses of the specialization end with a project that provide an opportunity to see how the material of the course is used in Data Analytics. In these project studentwill analyze the complex real-world problems arising in Data Science and learn to solve them through analysis of data with statistical software.

Qualified students who successfully complete the program requirements will be awarded degrees from both Wenzhou-Kean University (China) and Kean University (USA).

Eligible students may elect to study at Kean University in New Jersey starting from their second semester or any subsequent semester, during which they will be eligible for in-state tuition rates at Kean University.


Destination of Study

Subjects of Study

Major Elective Courses 

Statistical Data Mining; Applied Machine Learning; Big Data Computing; Data Visualization; Numerical Analysis; Probability and Math Statistics; Applied Statistics; Foundations of Data Analysis; Regression Analysis; Differential Equations

Language Requirements

English
IELTS 6.0 or TOEFL 79 or Duolingo 105

Tuition CNY 68,000
Costs

Accommodation: RMB 8,300 – RMB 10,000 (~USD 1,119 – USD 1,399) per academic year (based on 10 months).

Freshmen Scholarship

1. First-Class Scholarship: 60% reduction of the academic year's tuition fees.

2. Second-Class Scholarship: 30% reduction of the academic year's tuition fees.

The freshman scholarship is renewed annually for the duration of the four-year program, subject to an annual review. The renewal policy and relevant notifications will be communicated to applicants via email.

Please upload the following required documents through StudyAnywhere.com. All documents not originally in English must be accompanied by certified English translations.

Application fee is waived for applications submitted through StudyAnywhere.com.

1. Passport Identification Page: A clear copy of the photo page of your valid passport.

2. Color ID Photo: Format: JPG, JPEG, or PNG, File size: Less than 200KB, Resolution: Minimum 296 × 414 pixels

3. Academic Transcripts: Copies of all relevant academic records (e.g. high school transcript or GPA report).

4. Proof of Graduation: A copy of your high school diploma or a pre-graduation certificate.

5. Personal Essay: A 1–2 page essay outlining your educational and professional goals.

6. Standardized Test Scores (Optional): Such as SAT, ACT, A-Level, AP, IB, or UEC scores, if you wish to submit them.

7. English Proficiency Proof: Required for non-native English applicants.

8. For Transfer Students Only: An official transcript evaluation from a NACES-approved service (e.g. WES).

9. For Design Program Applicants Only: A portfolio (10–12 pieces of work)

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