If you are in search of business, computer science, data science, mathematics, social science, or design online courses, the online courses offered by Carnegie Mellon University are worth exploring. Acquiring in-demand skills through Carnegie Mellon University’s courses is great for your professional resume.
Keep reading to find the best Carnegie Mellon online courses. We will also include the top free courses that are available to all inquisitive minds. Our article will cover the course descriptions, course schedule, and course prices.
About Carnegie Mellon Online Courses
Carnegie Mellon online courses are offered as part of the university’s open learning initiative that aims to provide scientific and non-scientific learning with its college-level courses. Carnegie Mellon University’s open learning initiative uses a data-based platform to ensure students can learn in the most efficient manner.
Dozens of Carnegie Mellon online courses are offered through this initiative. They cover subjects such as economics, data science, and statistical reasoning. Depending on your learning and financial preferences, you can choose from the initiative’s academic, independent learner, or open and free plans.
Look through the open learning initiative courses to pick the course that best aids your career acceleration. Carnegie Mellon University also offers online certificates programs in product innovation, product management, product design, and product management technology.
Does Carnegie Mellon Offer Online Courses?
Yes, Carnegie Mellon offers online courses through its open learning initiative program and online certificate programs. These programs provide you with in-demand skills and aid your career-building process. You can gain applied skills, computational skills, data analyst skills, and more. Courses cover social sciences, public policy, management, and psychology.
What Can You Learn in a Carnegie Mellon Online Course?
You can learn a wide range of subjects on a Carnegie Mellon online course learning platform. The university offers several extensive interdisciplinary programs. Depending on your career goals and interests, you can learn active machine learning, educational technologies, integrated robotics technologies, psychology, software project management, or experimental design.
Along with technology fields, Carnegie Mellon offers online courses in ten subject areas that include arts, humanities, business, language, life sciences, and social sciences. You’ll build a strong foundation of skills to kick off your choice of career.
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Does Carnegie Mellon Offer Online Bootcamps?
Yes, Carnegie Mellon offers online bootcamps in association with its Carnegie Mellon Executive Education program and its School of Computer Science. Carnegie Mellon bootcamps rank among the best coding bootcamps in Pittsburg.
The university offers online bootcamps that cover machine learning, data structures, algorithms, UX/UI design, and artificial intelligence. You can also attend a human-computer interaction program or a software project management program. You can choose to attend a part-time or full-time program.
Best Carnegie Mellon Online Courses
Below we list the best Carnegie Mellon online courses that are currently offered. They are beneficial for undergraduate students, graduate students, industry professionals, and curriculum developers looking to acquire in-demand tech and non-tech skills relevant to their fields.
Enrolling in the university’s open learning initiative programs provides students with a career boost by providing access to Carnegie’s community and connections. Choose the courses that complement your career growth and skillset.
|Argument Diagramming||2 weeks||$25|
|Casual and Statistical Reasoning||15 weeks||$15|
|Concepts of Statistics||15 weeks||$20|
|Cyber Technology- NSC STEM Pathways||1 year||$25|
|Evidence-Based Management||15 weeks||$149|
|Introduction to Java||4 weeks||$25|
|Logic and Proofs||15 weeks||$80|
|Media Programming||To be announced||$25|
|PC Software||15 weeks||$25|
|PC Hardware||15 weeks||$25|
|Principles of Computation with Python||15 weeks||$25|
|Probability and Statistics||15 weeks||$25|
|Statistical Reasoning||15 weeks||$25|
|STEM Foundations||15 hours||$10|
|Visual Design||3 hours||$10|
If you are looking to enhance your critical thinking and analytic skills, then this argument diagramming course is for you. This Carnegie Mellon online course is divided into three modules and covers the creation, evaluation, and interpretation of argument diagramming.
You will also learn the syntax and vocabulary of creating an argument diagram. Whether you are an aspiring project manager, lawyer, or software industry professional, acquiring this skill will enhance your candidacy.
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If a career in molecular biology or biochemistry is your goal, then this course is for you. This is a beginner’s biochemistry course that covers quantitative biology, thermodynamics, molecular biology, organic chemistry, and biochemical systems.
It also covers protein structures, differential calculus, nucleic acid biochemistry, and DNA technologies. You need to have Flash and Java installed on your computer before beginning this course.
If you are new to data science and statistics, then this course is a great starting point for you. This is an introductory statistical reasoning course that covers quantitative causal models and the Bayes Network. You will study causation, association to causation, independence, and statistical problem-solving strategies.
This is another statistics course that covers foundational statistics and statistical reasoning. It is built for students with a foundational algebra background. You will learn data production, quantitative data, categorical data, statistical inference, and graphical data. You will need R, StatCrunch, Minitab, and TI calculator installed to take this course.
This conflict management and resolution course is a great course for project managers, team leaders, and human resource management professionals. This course uses a team project methodology to teach the subject. You will be tasked with team-building challenges and conflict management challenges to enhance your problem-solving abilities.
If you are interested in building a career in the growing field of cyber security and information security, then this course is for you. According to the Bureau of Labor Statistics, the job outlook for information security analysts is 33 percent between 2020 to 2030, making this a particularly promising field to get into.
This course will teach you network security, network architecture, network scaling, network connection, and network connections. It will also prepare you for Cisco and CompTIA certifications, which can help you land more senior positions in the field.
In data analysis and project management, evidence-based management skills are crucial to success. You need to sign up for the Center for Evidence Based Management (CEBMa) to access this course.
It covers the principles of evidence-based management, strategies of solution determination, and management of decision-based systems. You will also learn to assess, aggregate, and apply these evidence-based program management principles to solve real-world problems.
Java is one of the most popular backend and server-side programming languages in software development. This is a beginner’s course that will help you learn the basics of Java. You will learn to code in Java, write programs, iterate an algorithm, and test and debug programs using the language.
If you want to enhance your mathematics or computer science understanding, this logic and proofs course is for you. It covers several topics including logical analysis, sentential logic, predicate logic, strategic proof construction, and natural deduction style proofs. You will also participate in lab exercises using the ProofLab, and TruthLab frameworks.
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If you are new to computer science and interactive media, then this course is a great starting place. It covers foundational programming, Java, image manipulation, nested loops, image algorithms, conditionals, class, graphical user interfaces, and DrJava. You will need to install Flash, Java, and DrJava for this course.
If you are an aspiring cyber security or network security professional looking to pass the CompTIA A+ software certification exam, then this course is for you. It covers the Windows operating system, software utilities, command lines, disk management, control panel utilities, and networking set up through software development projects
You will also learn about preventative maintenance, virtualization, data destruction, wired network security, mobile operating systems, and network troubleshooting. These are all important skills for software professionals to master.
This PC hardware course prepares you for the CompTIA A+ software certification exam. It covers computer hardware basics, hardware safety procedures, and customer service relations. You will also learn to maintain and manage hardware components, networking hardware, wireless networking, laptop components, and printers.
If you want to learn Python programming, this is the ideal program for you. It covers Python programming, data representation, cellular automata, computability limits, recursive thinking, iterative processes, and encryption methods. This course is best suited for programming novices, and software industry professionals looking to add Python skills to their resumes.
This beginner’s statistics and probability course is apt for data science and mathematics learners. You will learn exploratory data analysis, probability, statistical reasoning, data sampling, inference, and linear regression.
This statistical reasoning is a beginner’s course that requires students to have a basic understanding of algebra. It is apt for data science and mathematics newbies looking to enhance their probability and statistics knowledge. You will learn exploratory data analysis, data production, probability, sample distributions, and inference.
This course is great for incoming college students looking to polish their STEM skills. It will also help you prepare for majoring in a STEM subject area. You will learn reading and writing comprehension and strategies and college-level mathematics. It covers fractions, number lines, integers, and other essential mathematical topics.
If a career in front end design or visual design is your goal then this course might be for you. It covers communication design, document analysis, typography, and visual designs. You will also learn pretest, visual hierarchy, readability, page layout, and post-test aspects of visual design.
Fifteen Best Free Carnegie Mellon Online Courses
|Advanced Database Systems||Self-paced|
|Composites Technology- NSC STEM Pathways||1 year|
|Deep Reinforcement Learning and Control||Self-paced|
|Engineering Statics||60 hours|
|General Chemistry 1||15 weeks|
|Graphical Causal Models||3 hours|
|Hardware Accelerated Database Lectures||Self-Paced|
|Introduction to Computer Architecture||Self-Paced|
|Introduction to Database Systems||Self-Paced|
|Introduction to Java||4 weeks|
|Mechatronics- NSC STEM Pathway||1 year|
|Public Policy Analysis for Engineers||3 hours|
|Statistical Machine Learning||Self-Paced|
|Statistical Thermodynamics: Molecules to Machines||8 weeks|
Carnegie Mellon offers many free online courses, both from the college itself and on massive open online course platforms. Below are the top fifteen free courses offered by Carnegie Mellon. Be sure to choose the courses that best help advance your career.
If you are a graduate student or a software system professional looking to add database systems skills to your portfolio, then this course is for you. It covers memory databases, query compilation, optimistic concurrency control, multi-version concurrency control, and index locking.
You will also learn data layout, storage models, logging protocols, database compression, and database checkpoints from an expert faculty member. The course consists of twenty-five video modules that cover advanced database system topics.
This composite technology course is one of five parts of NSC STEM pathways and is best suited for industrial and manufacturing professionals. This one-year course program will cover advanced composites assembly, applied math and physics, CNC machining, injection molding, machine tool theory, and precision measurement, and can be used as academic credit.
If you have a basic artificial intelligence and machine learning background, then this deep reinforcement learning and control course might be for you. This course consists of 26 video lecture modules that cover the Markov decision process, Monte Carlo methods, neural network architecture, and policy gradient methods.
You will also learn value function, pathways derivatives, function approximation, imitation learning, model-based reinforcement learning, and adversarial imitation learning from a dynamic faculty member from Carnegie Mellon.
This engineering statics course is designed for those in the mechanical, bioengineering, civil, and aeronautical engineering fields. It covers force effects, equilibrium under 2D forces, statically equivalent loads, engineering systems, frames, trusses, and friction. It also teaches moments of inertia and subsystems.
Carnegie Mellon also offers a free evidence-based program course on its learning platform. This course consists of two modules that cover the foundations and solutions of evidence-based management. If you want to learn about the practices you can employ to advance your management career, check out this course.
You can also learn general chemistry under the open and free courses section of Carnegie Mellon. This chemistry course is the first part of a two-series course and covers the foundations of general chemistry. You need to have Flash and Java installed on your computer.
You will learn atomic theory, elements, stoichiometry, aqueous solutions, kinetic molecular theory, calorimetry, quantum theory, and periodic properties. The course also covers ionic and covalent bonding, lewis structure, intermolecular forces, and colligative properties.
If you want to pursue a data visualization or statistical career, then this graphical causal models course is for you. It is a three-hour on-demand video course that covers the essential elements and effects of causal graphical models. You will learn the causes of causal graphs, learn to recognize treks and colliders, and learn to categorize paths and separation.
This hardware-accelerated database course is a video series that will take approximately fifteen weeks to complete. It consists of six video modules hosted by database management systems experts. You will learn MapD, SQream DB, Blazing DB, Brytlyt, and Swarm64. This series will help you understand and master database management systems and their designs.
If you are new to computing, network architecture, and system architecture, this introductory course is a great starting place. You will learn the function, energy, and performance aspects of computer hardware. You will also learn to design data path control hardware. This course’s content is available free on Carnegie Mellon’s Computer Architecture Youtube channel.
If you are new to data science and are an aspiring database manager, then this beginner’s course is for you. It covers the design, management, and implementation of database management systems. You will learn data models, transaction processing, query processing, parallel architectures, and indexing.
For those who want to learn Java programming for free, Carnegie Mellon offers an introductory Java course. You will learn to program with Java, debug programs, and manage program control flows with Java in each unit. This course consists of six modules and the open and free version offers a self-taught plan.
Mechatronics technology is another pathway offered in the NSC STEM program that is best suited for robotics and engineering professionals. You will learn about autonomous robots, CAD, electrical systems, industrial robots, high-tech manufacturing, mechanical systems, and mechatronics.
This course teaches public policy in relation to engineering and you will learn about the impact of engineering solutions on global society. Specifically, you will learn about neutral policy performance analysis, critical thinking policy, and engineering policy. You will also learn to design engineering policies that suit societal and economic policies.
This graduate-level course is built for learners with extensive machine learning and statistics backgrounds. You will learn probability, regression, theoretical foundations, minimax theory, kernel regression, cross-validation, unsupervised learning, and active learning. It also covers linear regression, bootstrap, differential privacy, and nonparametric Bayesian inference.
If you want to master mechanical engineering, thermodynamics, chemistry, and statistics, then these video lectures are for you. They cover classical thermodynamics theory, statistical thermodynamics, non-interacting systems, photosynthesis applications, and basic statistics.
How to Choose an Online Course from Carnegie Mellon
You should consider your learning preferences and financial resources when choosing an online course from Carnegie Mellon. Similar to most university online courses, you will need to choose the courses that help grow your career and offer you in-demand skills. Below are five factors you should consider when choosing an online course from Carnegie Mellon.
- Course length. Carnegie Mellon University offers several semester-long and year-long courses. It is important to choose a course schedule and length that matches your schedule.
- Cost. Carnegie Mellon offers many affordable online courses under its open learning initiative. It is essential to enroll in a course that meets your financial preferences and budget.
- Course curriculum. It is very important to consider the course curriculum before finalizing a course. You should look into the topics, course level, projects, and other curriculum aspects and choose a course that matches your academic preferences.
- Certification course. For those of you who want to enhance your professional portfolio, simply taking an online course won’t suffice. You need to enroll in courses that offer verified certifications. You can look at the courses offered under the independent learner plan program to find certifications.
- Course delivery. Another key factor to consider while choosing an online course is course delivery. If you are a self-paced learner who values flexibility, then on-demand video lectures are for you. If you learn best under professional instruction, then live online classes are for you.
Are Online Courses at Carnegie Mellon Worth It?
Yes, online courses at Carnegie Mellon are worth it for those looking for an affordable education covering data science, statistics, public policy, or programming subject areas. Compared to several online university courses, Carnegie Mellon offers particularly affordable education with courses starting at $10.
The university also offers many free self-paced courses. Carnegie Mellon online courses might not be worth it for learners looking for verified certificates, as the university mostly focuses on learning curricula instead of career growth curricula.
Carnegie Mellon Online Courses FAQ
Yes, Carnegie Mellon online courses are open to all students. You will need to choose between the independent learner, open and free, or educator plan depending on your background and educational preferences.
Carnegie Mellon offers online courses covering a wide range of fields including data science, statistics, computer science, business management, programming, and public policy.
Yes, Carnegie Mellon offers online certifications and degree programs for its students.
Yes, Carnegie Mellon offers online certifications and degree programs for its students.
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