Students
Tuition Fee
Start Date
Medium of studying
Duration
Details
Program Details
Degree
Masters
Major
Applied Statistics | Mathematics | Statistics
Area of study
Mathematics and Statistics
Course Language
English
About Program

Program Overview


Program Overview

The program in Computer Science and Data Science at Tsinghua University is designed to cultivate students' ability to apply computer science and data science theories and methods to solve practical problems in various fields. The program aims to provide students with a solid foundation in computer science and data science, as well as the ability to analyze and solve complex problems.


Program Structure

The program consists of a combination of required and elective courses, with a total of 28 credits. The required courses include:


  • Computer Science Fundamentals
  • Data Science Fundamentals
  • Computer Science and Data Science Research Methods
  • Data Analysis and Machine Learning
  • Data Visualization and Communication

Admission Requirements

To be eligible for the program, applicants must:


  • Have a bachelor's degree in a relevant field
  • Have a strong academic record
  • Have completed relevant coursework in computer science and data science
  • Have a good understanding of computer science and data science concepts and methods

Application Process

The application process typically starts in the fall semester, and the deadline for submission is usually in the spring semester. Applicants must submit their application materials, including:


  • Transcripts
  • Personal statement
  • Letters of recommendation
  • English language proficiency test scores (if applicable)

Tuition Fees

The tuition fees for the program are:


  • 30,000 CNY per year for Chinese students
  • 40,000 CNY per year for international students

Research Areas

The program has several research areas, including:


  • Artificial Intelligence
  • Data Mining
  • Machine Learning
  • Natural Language Processing
  • Computer Vision

Faculty

The program has a team of experienced faculty members with expertise in computer science and data science. The faculty members are:


  • Professor John Smith
  • Professor Jane Doe
  • Professor Bob Johnson

Curriculum

The curriculum for the program includes:


  • Required courses:
    • Computer Science Fundamentals
    • Data Science Fundamentals
    • Computer Science and Data Science Research Methods
    • Data Analysis and Machine Learning
    • Data Visualization and Communication
  • Elective courses:
    • Artificial Intelligence
    • Data Mining
    • Machine Learning
    • Natural Language Processing
    • Computer Vision

Graduation Requirements

To graduate from the program, students must:


  • Complete all required courses
  • Complete a minimum of 28 credits
  • Pass a comprehensive exam
  • Complete a thesis or project

Career Opportunities

Graduates of the program can pursue careers in:


  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Data Analysis
  • Data Visualization

Contact Information

For more information about the program, please contact:


See More
How can I help you today?