What classes do I need to take to get a Certificate in Integrated Data Science?
The Northwestern Certificate in Integrated Data Science requires five courses including at least one course from group A, at least two courses from group B, at least one course from group C, and a fifth course from any group. The courses currently available in each curriculum group are described below.
While participating in the entirety of IDEAS is not necessary to complete only the IDS certificate, if you complete this form to alert us to your interest in the certificate we will be able to help ensure you are able to fulfill the necessary requirements,
Group A. Data Challenges in Domain Disciplines
DATA_SCI 401-1 & -2: Data-Driven Research in Physics, Geophysics, and Astronomy
BIOL_SCI 354-0: Quantitative Analysis of Biology
Group B. Core Data Analytics
DATA_SCI 421-0 | PHYS 441-0: Statistical Methods for Physicists and Astronomers
DATA_SCI 422-0 | EARTH 353-0: Mathematical Inverse Methods in Earth and Environmental Sciences
DATA_SCI 423-0 | ELEC_ENG 475-0: Machine Learning: Foundations, Applications, and Algorithms
Group C. Electives in Data Analytics
From the Department of Astronomy:
Observational Astrophysics (ASTRON 421-0)
From the Department of Chemical and Biological Engineering:
Computational Biology: Analysis and Design of Living Systems (CHEM_ENG 379-0)
From the Department of Computer Science:
Special Topics in Computer Engineering (COMP_ENG 495-0)
Seminar (COMP_ENG 510-0)
Design & Analysis of Algorithms (COMP_SCI 336-0)
Special Topics in Computer Science (COMP_SCI 496-0)
*please note: students who have taken Machine Learning (formerly EECS 349, now COMP_SCI 349) prior to Winter 2020 are able to count this toward elective credit. Data Management and Information Processing (COMP_SCI 317-0) is no longer offered; however it will still count as an elective if taken before Fall 2019.
From the Department of Earth and Planetary Sciences:
Geophysical Time Series Analysis (EARTH 327-0)
From the Department of Electrical and Computer Engineering:
Digital Image Processing (formerly EECS 420, now ELEC_ENG 420-0)
Statistical Pattern Recognition (formerly EECS 433, now ELEC_ENG 433-0)
Deep Learning: Foundations, Applications, and Algorithms (ELEC_ENG 435-0)
Deep Reinforcement Learning (formerly EECS 395/495, now ELEC_ENG 473-0)
Special Topics in Electrical Engineering (ELEC_ENG 495-0)
From the Department of Engineering Sciences and Applied Mathematics:
Models in Applied Mathematics (ES_APPM 421-1)
Numerical Methods for Random Processes (ES_APPM 448-0)
From the Department of Industrial Engineering and Management Sciences:
Statistical Learning for Data Analysis (IEMS 304-0)
From the Department of Materials Science and Engineering:
Atomic Scale Computational Materials Science (MAT_SCI 458-0)
From the Department of Statistics:
Statistical Theory and Methods 1 (STAT 320-1)
Regression Analysis (STAT 350-0)
Introduction to the Analysis of Financial Data (STAT 365-0)
Time Series Analysis (STAT 454-0)
Applies Bayesian Inference (STAT 457-0)
Advanced Topics in Statistics (STAT 461-0)
Students may petition to have an alternate course reviewed for qualification as an elective for this certificate. In order to do this please email: IDEAS@northwestern.edu
Completed the IDS Certificate requirements?
In order to petition to have a Graduate Certificate awarded and appear on the transcript, students must submit the Application for a Graduate Certificate once all Graduate Certificate requirements have been completed, but no later than the time that the student files for graduation (in the final quarter of study). Each course counting toward the Graduate Certificate must be listed. The Application for Graduate Certificate requires approval by the Certificate Program Director and, for students also pursuing a PhD or Master’s, the Director of Graduate Study (DGS) of the degree program.
