What is material science?

Material science refers to the properties of solid materials and how the structure and composition of a material determine its properties. It helps engineers improve and design products by testing and researching materials to determine how to manipulate them for best results. Material science affects every field that involves engineering, including electronics, telecommunications, ground transportation, medicine, energy, and aerospace, for example.

Why is material science important to learn?

It's important to learn material science in order to come up with new and innovative products. It is necessary for lowering costs of production and creating long-lasting products. Material science is also important to learn because it is part of engineering design and how different materials will perform in your project, helping you determine which to use.

What are typical careers that use material science?

Any career in engineering will use material science. This is used in many areas of engineering but you can also become a material engineer. In these careers you will test and research different types of material in order to determine the best way to create a product. You will use your knowledge in the area to create new materials and find any possible product failure which helps to create better and innovative product designs.

How can online courses help me learn about material science?

Online courses can help you learn about material science by giving you the knowledge you need to progress in the field. The courses offer a variety of levels to get you ready for the next step. Online courses offer you the flexibility to work around your schedule, and the experts that teach them are available to answer questions and guide you in each course. You will have lectures and readings as well as assignments that will help you gain an understanding of material science. These courses can supplement your existing knowledge or be at a higher level to deepen your understanding of the topic.

What are the benefits of taking an online Material Science course?

Online Material Science courses offer a convenient and flexible way to enhance your knowledge or learn new Material Science skills. Choose from a wide range of Material Science courses offered by top universities and industry leaders tailored to various skill levels.

What Material Science courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Material Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Material Science Courses - Learn Material Science Online

Results for "material science"

Status: Free
Pohang University of Science and Technology(POSTECH)
Ferrous Technology II
4.8
Rating, 4.8 out of 5 stars
314 reviews
Beginner · Course · 1 - 3 Months
Arizona State University
Material Extrusion
4.8
Rating, 4.8 out of 5 stars
16 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Data Science
Skills you'll gain: R Programming, Data Analysis, Statistical Programming, Statistical Analysis, Computer Programming, Exploratory Data Analysis, General Statistics, Problem Solving, Data Analysis Software, Probability & Statistics, Computer Programming Tools, Critical Thinking, Programming Principles, Statistical Tests, Data Management, Data Structures, Statistical Machine Learning, Basic Descriptive Statistics, Algorithms, Data Model, Human Learning, Machine Learning, Machine Learning Algorithms, Process Analysis, Correlation And Dependence, Data Visualization, Data Visualization Software, Plot (Graphics), Regression, Computer Graphics, Interactive Data Visualization, Applied Machine Learning, Big Data, Computational Thinking, Data Mining, Estimation, Extract, Transform, Load, Probability Distribution, Databases, Machine Learning Software, Communication, Computer Graphic Techniques, Knitr, Natural Language Processing, Visualization (Computer Graphics), Product Development
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Stanford University
Introduction to Mathematical Thinking
Skills you'll gain: Critical Thinking, Mathematical Theory & Analysis, Mathematics, Problem Solving, Computational Logic, Algebra, Applied Mathematics, Data Analysis, Algorithms, Probability & Statistics
4.8
Rating, 4.8 out of 5 stars
2.8K reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Princeton University
Algorithms, Part I
Skills you'll gain: Algorithms, Computer Programming, Data Structures, Java Programming, Problem Solving, Programming Principles, Theoretical Computer Science, Computational Thinking, Critical Thinking
4.9
Rating, 4.9 out of 5 stars
12K reviews
Intermediate · Course · 3 - 6 Months
Status: Free
Princeton University
Computer Science: Programming with a Purpose
Skills you'll gain: Computer Programming, Java Programming, Programming Principles, Computational Thinking, Algorithms, Computational Logic, Theoretical Computer Science, Critical Thinking, Mathematical Theory & Analysis, Problem Solving, Computer Science
4.7
Rating, 4.7 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 3 Months
IBM
Introduction to Data Analytics
Skills you'll gain: Data Analysis, Databases, Python Programming, SQL, Data Management, Data Mining, Data Science, Data Visualization, NoSQL, R Programming, Big Data, Microsoft Excel
4.8
Rating, 4.8 out of 5 stars
17K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: R Programming, Data Analysis, Statistical Analysis, Statistical Programming, Probability & Statistics, Statistical Machine Learning, General Statistics, Machine Learning Algorithms, Human Learning, Machine Learning, Problem Solving, Statistical Tests, Regression, Computer Programming, Algorithms, Applied Machine Learning, Correlation And Dependence, Data Model, Estimation, Probability Distribution, Data Analysis Software, Machine Learning Software, Natural Language Processing, Basic Descriptive Statistics, Exploratory Data Analysis, Computer Graphics, Data Visualization, Data Visualization Software, Interactive Data Visualization, Plot (Graphics), Product Development
4.4
Rating, 4.4 out of 5 stars
7.1K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Princeton University
Algorithms, Part II
Skills you'll gain: Algorithms, Java Programming, Computer Programming, Graph Theory, Data Structures
4.9
Rating, 4.9 out of 5 stars
2K reviews
Intermediate · Course · 3 - 6 Months
Johns Hopkins University
R Programming
Skills you'll gain: Computational Thinking, Computer Programming, Computer Programming Tools, Critical Thinking, Data Analysis, Data Structures, Problem Solving, Programming Principles, R Programming, Statistical Programming, General Statistics
4.5
Rating, 4.5 out of 5 stars
22K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
The Hong Kong University of Science and Technology
The Science of Gastronomy
4.6
Rating, 4.6 out of 5 stars
768 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Princeton University
Computer Science: Algorithms, Theory, and Machines
Skills you'll gain: Theoretical Computer Science, Computer Programming, Algorithms, Computational Logic, Computational Thinking, Java Programming, Programming Principles, Computer Architecture, Data Structures, Mathematical Theory & Analysis
4.7
Rating, 4.7 out of 5 stars
657 reviews
Intermediate · Course · 1 - 3 Months