Standard Course Syllabi
Standard Course Syllabi
Standard Course Syllabi for Data Science Courses
Click on the links below to find the general syllabi for courses run through the Data Science department or otherwise required for a Data Science degree. Each course syllabus will state prerequisites for the course and the information covered in the course.Required
- Introduction to Data Science
- Introduction to Programming and Problem Solving
- Computer Science and Programming
- Principles of Data Structures
- Calculus I
- Calculus II
- Calculus III
- Linear Algebra
- Discrete Mathematics
- Big Data Tools and Techniques
- Database Systems: Theory and Programming
- Introduction to Information Visualization
- Machine Learning I
- Introduction to Data Mining
- Elements of Statistical Learning
- Concepts in Statistical Data Analysis
- Probability and Random Variables
- Data Science Research I
- Data Science Research II
Elective
- Computer Lab Techniques
- Data Warehousing
- Algorithms for the Data Scientist
- Web and Text Mining
- Special Topics in Data Science
- Statistical Computing
- Regression Analysis
- Design of Experiments: Analysis of Variance
- Advanced Data Analysis (Multivariate and Bayesian)
