Data Science
Foundations of Data Science Graduate Certificate
Purdue’s Foundations of Data Science Graduate Certificate gives students the opportunity to learn in-demand data science skills in less time than a traditional master’s degree – making fast career advancement accessible and affordable. This new 100% online certificate program is designed for current graduate students who want to add data science coursework to their plan of study or professionals who want to learn foundational skills while saving time and money. Take courses in essential data science skills like data mining, data visualization, and data analysis without needing to commit to a full degree program.
Ready to Dive into the world of Data Science?
Fast Track Your Way to Becoming a Data Science Expert
- Build in-demand data science skills in less time and for less money than a traditional graduate degree.
- Gain expertise in in-demand areas like machine learning, data visualization, data mining, project management and more.
- Fast-track your career in data science by earning a credential on an accelerated timeline.
- Take classes in the areas that interest you and stack skills for career advancement.
Source: LightcastTM (2023). Unique job postings for July 2022-2023. Projected growth for years 2023-2033.
Foundations of Data Science Graduate Certificate
Curriculum Overview
This graduate certificate requires 9 credit hours with 6 required credit hours within the graduate school and 3 credit hours can be taken from technical or professional elective hours below.
All students are required to take the following 3 credit hour course:
- GRAD 50500 – Foundations in Data Science (3 credits)
Choose one of the following 3 credit hour courses:
- GRAD 50600 – Big Data Tools and Technologies (3 credits)
- GRAD 50700 – Cross Domain Data Communication and Visualization (3 credits)
- GRAD 50800 – Data Analytics (3 credits)
- GRAD 50900 – Applied Machine Learning: From Foundations to Latest Advances (3 credits)
Students can chose any of the following 3 credit hour courses to complete their graduate certificate:
- ABE 65100 – Environmental Informatics
- AGEC 68700 – Problem Solving and Project Management for Decision Makers
- AGRY 54500 – Remote Sensing of Land Resources
- ASM 54000 – Geographic Information System Application
- CE 59700 – Data Science for Smart Cities
- CNIT 57000 – IT Data Analytics
- CNIT 58100 – Enterprise Data Management
- CNIT 58100 – Information Security Governance
- COM 60311 – Seminar in Crisis Communication
- CS 50023 – Data Engineering
- CS 50025 – Foundations of Decision Making
- CS 57700 – Natural Language Processing
- ECE 56900 – Introduction to Robotic Systems
- ECE 59500 – Computer Vision for Embedded Systems
- ECE 59500 – Natural Language Processing
- ECON 57700 – Quantitative Economics and Python
- EDPS 53100 – Introduction to Measurement and Instrument Design
- FNR 58700 – Advanced Spatial Ecology and GIS
- ILS 69500 – Computational Text Analysis
- MATH 51100 – Linear Algebra with Applications
- MGMT 52500 – Marketing Analytics
- MGMT 52600 – Project Management
- MGMT 56800 – Supply Chain Analytics
- MGMT 58600 – Python Programming
- MGMT 59000 – R for Analytics
- STAT 50100 – Experimental Statistics I
- STAT 50600 – Statistical Programming and Data Management
- STAT 51200 – Applied Regression Analysis
- STAT 51700 – Statistical Inference
- STAT 52600 – Advanced Statistical Methodology
- STAT 52700 – Intro to Computing for Statistics
- STAT 58200 – Stat Consulting & Collaboration
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