Our curriculum features a combination of courses that address:
Methods: Data management and data analytics; develop deep expertise in the programing languages essential for data science, including Python, JavaScript and R. From 1point 3acres bbs
Applications: Elective courses in data science applied to a specific knowledge domain, such as astrophysics, political science and geography (GIS)
Skills: Teamwork, project management and communication skills
Technology: Hands-on exposure to data analysis and visualization software tools and languages; gain experience applying data science principles to real world applications
The Master of Science in Data Science requires 10 three-credit courses, with the following components:
three data analytics core courses
two data analytics elective courses
at least two domain/application
one Capstone Core Course
two additional courses in data analytics or domain/applications
The Certificate in Data Science requires four data science courses, at least two of which are core courses.
Data Analytics Core Courses (3 courses)
The three core courses below provide foundational knowledge in data science and should be taken during year one:. Χ
DATS 6101 Introduction to Data Science
DATS 6102 Data Warehousing and Analytics
DATS 6103 Introduction to Data Mining
Data Analytics Courses. Χ
Intermediate (choose at least 2 courses). check 1point3acres for more.
DATS 6201 Numerical Linear Algebra and Optimization
DATS 6202 Machine Learning I (Initially, cross list with PHYS 6620)
MATH 6522 Introduction to Numerical Analysis
STAT 6201 Mathematical Statistics I. .и
STAT 6207 Methods of Statistical Computing
STAT 6210 Data Analysis. 1point3acres.com
STAT 6214 Applied Linear Models
STAT 6216 Applied Multivariate Analysis II
STAT 6242 Regression Graphics/Nonparametric Regression
Advanced (choose 2 or fewer courses).google и
DATS 6203 Machine Learning II
STAT 6202 Mathematical Statistics II
STAT 6223 Bayesian Statistics, Theory and Applications.1point3acres
STAT 6289 Topics in Statistics
. 1point3acres
Domain/Application Area Elective Courses (choose at least 2 courses)
DATS 6401 Visualization of Complex Data
DATS 6402 High Performance Computing and Parallel Computing.1point3acres
DATS 6450 Topics in Data Science
ECON 8375 Econometrics I
ECON 8376 Econometrics II. Χ
ECON 8377 Econometrics III.--
ECON 8378 Economic Forecasting
GEOG 6304 Geographical Information Systems I
GEOG 6307 Digital Image Processing
PSC 8132 Network Analysis
PSC 8185 Topics in Empirical and Formal Political Analysis
Capstone Core Course (1 course)
. 1point 3 acres
DATA 6501 Data Science Capstone
This is a three-credit course in which students apply what they have learned in data science courses to address data-related complex problems in the real-world. Through various projects assigned by the faculty, students will have the opportunity to reinforce their knowledge in data science while enhancing real-world skills such as communication, teamwork and analytics.