Kunshan, Jiangsu, China
Qualification
Bachelor's Degree
Study mode
Full-time
Duration
4 years
Intakes
September
Total tuition fee (local)
Contact the university / college
Total tuition fee (foreign)
B$ 71,574
About this course
This major studies the theories, methods and tools of incorporating statistical and computational techniques to data analysis issues in all fields as a highly interdisciplinary subject. Data science can be used in economics and biology, as well as quantitaive areas of social health, environmental and humanity sciences. This major equips students with concepts, theorums, algorithms and methodologies crucial to data analysis, knowledge and information for practical use.
Entry Requirements
none
Curriculum
Required Courses
Divisional Foundation Courses
- Mathematical Foundations 1
- Integrated Science 1– Energy and Emergent Phenomena in Physics, Chemistry, and Biology
- Mathematical Foundations 2
- Integrated Science 2– Energy and Emergent Phenomena in Physics, Chemistry, and Biology
- Integrated Science 3 – Waves: Sound and Light; and the Biosphere
- Integrated Science 4 – Waves: Sound and Light; and the Biosphere
- Scientific Writing and Presentations
Interdisciplinary Courses
- Introduction to Programming and Data Structures
- Principles of Machine Learning
- Statistical Machine Learning
- Data Acquisition and Visualization
- Interdisciplinary Data Analysis
Disciplinary Courses
- Probability, Random Variables and Stochastic Processes
- Advanced Linear Algebra
- Numerical Analysis and Optimization
- Algorithms and Databases
Recommended Electives for the Major
Courses listed below are recommended electives for the major. Students can also select other courses in different divisions as electives.
- Bayesian and Modern Statistics
- Computer Vision
- Search Engines
- Speech Recognition
- Cloud Computing
- Deep Learning
- Probabilistic Graphical Models
- Artificial Intelligence