What Is a Data Engineer? A Guide to This In-Demand Career

A variety of certificates and even computer science degree pathways on Coursera can help prepare you for an exciting career in the machine learning field. Like many high-level technology and computer science jobs, machine learning engineers earn salaries significantly above the national average, often over six figures. In fact, as of March 2024, the average base salary for a machine learning engineer is $162,740, according to Indeed [6]. Often, a machine learning engineer will also serve as a critical communicator between other data science team members, working directly with the data scientists who develop the models for building AI systems and the people who construct and run them. With a bachelor’s degree, you may qualify for certain entry-level jobs in the fields of AI, computer science, data science, and machine learning. The salaries listed below are for 0-1 years of experience, according to Glassdoor (October 2023).

See post-graduation salaries and destination information for recent CMU Chemical Engineering graduates. Dive in with small-group breakout rooms, streaming HD video and audio, real-time presentations and annotations, and more. Answer a few quick questions to determine if the Columbia Online AI certificate program is a good fit for you. This course is completely online, so there’s no need to show up to a classroom in person.

Roles in prompt engineering have recently emerged, as the need for that skill set rises alongside gen AI adoption, with 7 percent of respondents whose organizations have adopted AI reporting those hires in the past year. A master’s degree in computer science is a graduate program focused on advanced concepts in computer science, such as software development, machine learning, data visualization, natural language processing, cybersecurity, and more. The College of Engineering is excited to offer a new first-of-its-kind program in Artificial Intelligence Engineering.

Now that we know what prospective artificial intelligence engineers need to know, let’s learn how to become an AI engineer. There may be several rounds of interviews, even for an entry-level position or internship. But if you land a job, then it’s time to prove yourself and learn as much as possible. You’ll be able to apply the skills you learned toward delivering business insights and solutions that can change people’s lives, whether it is in health care, entertainment, transportation, or consumer product manufacturing. Consider enrolling in the University of Michigan’s Python for Everybody Specialization to learn how to program and analyze data with Python in just two months. To learn the basics of machine learning, meanwhile, consider enrolling in Stanford and DeepLearning.AI’s Machine Learning Specialization.

More and more, they may also be employed in government and research facilities that work to improve public services. According to Glassdoor, the average salary for an AI engineer is $115,623 in the United States as of March 2024[3]. Falling under the categories of Computer and Information Research Scientist, AI engineers have a median salary of $136,620, according to the US Bureau of Labor Statistics (BLS) [4]. AI engineering is a specialized field that has promising job growth and tends to pay well. Besides earning a degree, there are several other steps you can take to set yourself up for success. In Mathwork’s System Engineering course, you’ll explore how system architecture is developed and designed, and how to optimize system designs through trade studies.

It makes sense—the more experience you have working as an AI engineer, the more expertise you have, and the more you can expect to earn. Let’s take a closer look at how experience, industry, and location can impact your earning potential. For AI engineers, there is a projected job growth of 23 percent between 2022 and 2032, which is much faster than the average for all occupations (5 percent) [2]. The MS in AIE-ChE helps you master the art of integrating AI from a project’s inception to create more efficient procedures and find practical solutions. Learn how to simultaneously design a system’s functionality and its supporting AI mechanisms to produce more adaptable and resilient systems.

For a more comprehensive overview of systems engineering that earns you a shareable certificate from the University of Colorado Boulder, consider enrolling in the Introduction to Systems Engineering Specialization. You’ll build expertise in risk management, reliability engineering, requirements analyses, and more in just three months at five hours per week. Almost all systems engineers will benefit from project management skills since systems engineers act as the primary interface between management, customers, suppliers, and specialty engineers in the systems development process. Find out more about what this means and how to become a systems engineer with this guide. We include the educational requirements and skills to qualify for a systems engineer job. Yes, all online degree programs available on Coursera are directly conferred by accredited institutions.

Earning your master’s degree in artificial intelligence can be an excellent way to advance your knowledge or pivot to the field. Depending on what you want to study, master’s degrees take between one and three years to complete when you’re able to attend full-time. Even within these industries and specializations, the AI engineer role can vary. They may work as research scientists in AI, robotics engineers, program developers, or machine learning scientists.

Instead, you must upload an unofficial transcript from the recognized U.S. institution. Internships are not part of the MAS-E curriculum, but these industry-focused courses will help prepare you with hands-on projects and career-oriented outcomes. Throughout each course of the program, you’ll be able to attend live, online office hours with faculty. Additional instructional staff will also help you stay on track and answer your questions.

In collaboration with Penn Engineering faculty who are some of the top experts in the field, you’ll explore the history of AI and learn to anticipate and mitigate potential challenges of the future. You’ll be prepared to lead change as we embark towards the next phases of this revolutionary technology. When you’re interested in working in AI, earning a bachelor’s or master’s degree in the field can be a great way to develop or advance your knowledge. According to Ziprecruiter.com, an artificial intelligence engineer working in the United States earns an average of $156,648 annually. Here are the roles and responsibilities of the typical artificial intelligence engineer. Note that this role can fluctuate, depending on the organization they work for or the size of their AI staff.

To be an eligible applicant, you’ll need to hold a bachelor’s degree in systems engineering, engineering, statistics, or a related field. It’s a very large, private not-for-profit, four-year university in a large city. In 2022, 22 Artificial Intelligence students graduated with students earning 22 Master’s degrees. University of Washington-Seattle Campus offers 1 Artificial Intelligence degree programs.

The enormous growth in AI and machine learning has provided AI engineers with professional flexibility and opportunity. To enter the field, you can pursue multiple forms of training, build a portfolio, practical exercises, certifications, and resume-building approaches. Use this guide as a resource to help you get on the right path and find your way into the AI industry. These placements provide an excellent environment for career preparation, practical training, resume building, and professional networking. In addition to developing relationships that could turn into full-time postgraduate employment, interns get to test out various types of jobs, organizations, and specializations. You may have encountered the results of AI engineering when you use Netflix, Spotify, or YouTube, where machine learning customized suggestions based on your behavior.

Annual AI engineer salaries in the U.S. can be as low as $90,000 and as high as $304,500, while most AI engineer salaries currently range from $142,500 to $173,000, with top earners in the U.S. earning $216,500 annually. Get certified in Artificial Intelligence with our Masters in AI program and earn AI Engineer and IBM certificates to boost your career prospects. Benefit from exclusive access to expert-led masterclasses and interactive AMAs with industry leaders. Learners who successfully complete the online AI program will earn a non-credit certificate from the Fu Foundation School of Engineering and Applied Science. This qualification recognizes your advanced skill set and signals to your entire network that you’re qualified to harness AI in business settings.

AI high performers are expected to conduct much higher levels of reskilling than other companies are. Respondents at these organizations are over three times more likely than others to say their organizations will reskill more than 30 percent of their workforces over the next three years as a result of AI adoption. Respondents at AI high performers most often point to models and tools, such as monitoring model performance in production and retraining models as needed over time, as their top challenge. By comparison, other respondents cite strategy issues, such as setting a clearly defined AI vision that is linked with business value or finding sufficient resources.

Do You Want to Learn More About How to Become an AI Engineer?

The AI engineering field attracts professionals from numerous educational backgrounds. While most entry-level positions require a bachelor’s degree at minimum, the discipline is flexible and may include computer engineering, data science, computer information systems, and a computer science degree. Ensure any computer science or engineering programs have received accreditation from the Accreditation Board for Engineering and Technology (ABET). AI engineering focuses on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence.

You can accomplish this through undergoing extra training courses and certifications. As companies continue to employ a geographically dispersed workforce that includes remote workers, employers may choose to offer location-based salaries. However, this can become tricky as these salaries must also account for merit and experience level, so location-based salaries can be considered unfair. In general, working for companies based in big cities like New York, San Francisco, Washington, DC, Boston, and Chicago correlates to a higher salary. Moving into leadership roles such as director or vice president of ML or AI can boost your salary by tens of thousands of dollars. However, you might choose to focus on your expertise rather than managing a team, in which case you can earn more by switching companies or negotiating a higher salary by proving your value.

• With new research and daily advancements in technology, there’s always something new to learn in the ever-changing field of artificial intelligence.
• Even within these industries and specializations, the AI engineer role can vary.
• Of those respondents, 913 said their organizations had adopted AI in at least one function and were asked questions about their organizations’ AI use.
• You’ll rely on your programming and problem-solving skills to create scalable solutions.

Here is a series of recommended steps to help you understand how to become an AI engineer. Did you know that 78 percent of our enrolled students’ tuition is covered by employer contribution programs? Find out more about the cost of tuition for prerequisite and program courses and the Dean’s Fellowship. If you have not completed the necessary prerequisite(s) in a formal college-level course but have extensive experience in these areas, may apply to take a proficiency exam provided by the Engineering for Professionals program. Successful completion of the exam(s) allows you to opt-out of certain prerequisites.

Systems engineer certifications

These technologies can train computers to do certain tasks by processing massive amounts of data and identifying patterns in the data. This program equips you with essential AI skills through industry-relevant training, live interactive sessions, and hands-on projects. Gain expertise in Python, ML, deep learning, https://chat.openai.com/ NLP, and more, all designed to prepare you for a successful career in AI engineering. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks?

The code for the catalog was published live on stage, while Polaris Catalog is expected to go open source over the next 90 days. Your CalNet ID and password is sufficient for all Web access needs, but online students may also get a physical Cal 1 ID card, which would need to be picked up in person on campus. The ASU Regents Professor is the author of 16 books and more than 200 technical papers. He is a fellow of the American Statistical Association, the American Society for Quality, the Royal Statistical Society and the Institute of Industrial Engineers; he is also an elected member of the International Statistical Institute.

The career of a remote AI writer or editor, being relatively new at this stage, is focused on ensuring that AI-generated content in response to prompts is fact-checked and sense-checked before being released. As a freelance AI writer, you can collaborate with copywriting and marketing agencies are offer your services to established marketing teams. While the salary range for AI engineers varies, these salary figures are significantly higher than the mean annual salary across all occupations in the United States, $58,260 [4]. By 2030, artificial intelligence (AI) could contribute up to $15.7 trillion to the global economy, which is more than China and India’s combined output today, according to PricewaterhouseCoopers’ Global Artificial Intelligence Study [1]. Artificial intelligence (AI) and AI engineering have been witnessing significant growth, and numerous statistical indicators support the attractiveness of becoming an AI engineer.

Learn about salary potential, job outlook, and steps to becoming a machine learning engineer. Join industry networking groups—especially those which represent marginalized groups such as women—and seek mentorship from professionals who are where you wish to be in your career. Artificial intelligence engineers are in great demand and typically earn six-figure salaries. An individual who is technically inclined and has a background in software programming may want to learn how to become an artificial intelligence engineer and launch a lucrative career in AI engineering.

Learn more about why computer science is considered a good major and what you can do with your degree after graduating. With a bachelor’s degree in computer science or your master’s degree in computer science, you can expect to take courses in programming, security, computer systems, data visualization, and much more. Machine learning is a fascinating branch of artificial intelligence that involves predicting and adapting outcomes as more data is received. The demand for machine learning professionals has also grown exponentially in recent years. Recognized as the fifth most in-demand job of 2023, machine learning engineers have become highly sought-after by employers [1]. AI and machine learning engineers engineer and deploy artificial intelligence and machine learning models and systems, and train models on expansive data sets.

While students learn foundational data science concepts, they also gain practical skills using real world datasets in many application domains. Careers for data scientists are innumerable—from agriculture and athletics to finance and healthcare. Enroll in IBM’s AI Engineering professional certificate to learn how to provide business insights from big data using machine learning and deep learning techniques. With new research and daily advancements in technology, there’s always something new to learn in the ever-changing field of artificial intelligence. Whether you’re looking to learn a new software library for machine learning or a new programming language to support your work, our courses can help. Some of the most popular programming languages in AI are Python, Java, R, and C++, so mastering one or more of these languages will support your career in AI.

AI research scientists, machine learning scientists, and engineers search for solutions to problems, new approaches, and new technologies. The ever-changing and expanding field keeps AI engineering dynamic and impactful. Still, many companies require at least a bachelor’s degree for entry-level jobs. Jobs in AI are competitive, but if you can demonstrate you have a strong set of the right skills, and interview well, then you can launch your career as an AI engineer. In this article, you’ll learn more about data engineers, including what they do, how much they earn, and how to become one. But, if you’d prefer to start learning from working professionals right away, consider enrolling in IBM’s Introduction to Data Engineering course.

UC Berkeley’s “Master of Advanced Study in Engineering Degree Preview” course showcases some of the elite faculty and advanced instruction you’ll experience when you join the MAS-E degree program. The course introduces you to the innovative MAS-E program and its career-focused concentration areas, giving you a short preview of selected degree course content. Machine learning includes everything from video surveillance to facial recognition on your smartphone. However, customer-facing businesses also use it to understand consumers’ patterns and preferences and design direct marketing or ad campaigns. If you are a U.S. resident interested in accessing federal financial aid while pursuing a stacked master’s degree, you should speak with an adviser in your program of interest to explore this source of funding.

Why Should You Become an AI Engineer?

It’s self-paced but can be completed in just 22 hours, making it an ideal choice for those who want to solidify their knowledge about the field without committing to a lengthy learning path. Many systems engineers start out in other entry-level roles, such as systems administrator, network administrator, or software engineer. The skills and experience gained in these jobs can prepare you for the big-picture work of a systems engineer.

Acquire cutting-edge AI skills from some of the most accomplished experts in computer science and machine learning. Throughout the program, you will build a portfolio of projects demonstrating your mastery of course topics. The hands-on projects will give you a practical working knowledge of Machine Learning libraries and Deep Learning frameworks such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow. You will also complete an in-depth Capstone Project, where you’ll apply your AI and Neural Network skills to a real-world challenge and demonstrate your ability to communicate project outcomes. Check out Learn the Basics of Machine Learning, Build a Machine Learning Model with Python, or Build Deep Learning Models with TensorFlow.

The University of Colorado Boulder’s Introduction to Systems Engineering Specialization hones skills like risk management, reliability engineering, and systems thinking. Let’s take a more detailed look at the education, skills, and experience you’ll need to become a systems engineer. According to Glassdoor, systems engineers in the United States make an average of $106,930 per year, as of March 2024 [1]. Systems may include products, people, services, information, natural elements, or processes—or a mix of several depending on the job. As a systems engineer, you are in charge of troubleshooting and communicating with all parties involved in implementing and using the system.

Find out when registration opens, classes start, transcript deadlines and more. Engineers See the World Differently –

Watch our video to revisit the inspiration that sparked your curiosity in science and engineering. The AI engineer profession has plenty to get excited about, but you must know more about the field before diving in. There is a projected job growth of 23 percent between 2022 and 2032, Chat GPT which is much faster than the average for all occupations [4]. By 2030, AI could contribute up to $15.7 trillion to the global economy, which is more than China and India’s combined output today, according to PricewaterhouseCoopers’ Global Artificial Intelligence Study [2]. This projected growth means organizations are turning to AI to help power their business decisions and increase efficiency.

“In MSE, AI and ML are being leveraged to discover and design new materials, build predictive models, simulate material systems, and advance the understanding of processing-structure-properties relationships of materials and materials systems. Our school chairs highlight the central role of artificial intelligence in each engineering discipline. CMU and the Department of Chemical Engineering take pride in creating a supportive environment for graduate students. Our collaborative community encourages close professional relationships with faculty and fellow students across engineering disciplines. Our committed team is here to assist you through email, chat, calls, and community forums. On-demand support is available to guide you through masters in artificial intelligence.

This article explores the world of artificial intelligence engineering, including defining AI, the AI engineer’s role, essential AI engineering skills, and more. Artificial intelligence is creating immense opportunities across every industry. AI comprises multiple subfields, including machine learning, which is one of the ways computers acquire their intelligence.

Jobs for graduates include city or emergency manager, criminal justice administrator, fire management officer and others. Not every industry requires AI engineers, but for those that do, such as tech, finance, health care, and retail, AI engineer salaries can vary widely. For example, technology and finance companies tend to pay well across the board, so AI engineers who work for these industries will likely have salaries that are higher than average. To secure these high-paying entry-level remote AI jobs, remember to boost your experience and skills with a master’s degree in a related specialism, in addition to getting hands-on experience with AI-related projects during your studies. This will go a long way towards securing your remote entry-level role and attracting interest from major employers, including start-ups. Artificial intelligence (AI) and machine learning (ML) are common threads across the College’s programs.

You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device. Each course takes 4-5 weeks to complete if you spend 2-4 hours working through the course per week. At this rate, the entire Professional Certificate can be completed in 3-6 months. However, you are welcome to complete the program more quickly or more slowly, depending on your preference.

Echoes the previously mentioned skills but also adds language, video and audio processing, neural network architectures and communication. According to SuperDataScience, AI theory and techniques, natural language processing and deep-learning, data science applications and computer vision are also important in AI engineer roles. In this way, AI attempts to mimic biological intelligence to allow the software application or system to act with varying degrees of autonomy, thereby reducing manual human intervention for a wide range of functions.

For an AI engineer, that means plenty of growth potential and a healthy salary to match. Read on to learn more about what an AI engineer does, how much they earn, and how to get started. Afterward, if you’re interested in pursuing a career as an AI engineer, consider enrolling in IBM’s AI Engineering Professional Certificate to learn job-relevant skills in as little as two months. Learn what an artificial intelligence engineer does and how you can get into this exciting career field.

UC Berkeley College of Engineering

Final deadlines to apply vary but all are before September 1 for an autumn quarter start. While the use of gen AI tools is spreading rapidly, the survey data doesn’t show that these newer tools are propelling organizations’ overall AI adoption. The share of organizations that have adopted AI overall remains steady, at least for the moment, with 55 percent of respondents reporting that their organizations have adopted AI. Less than a third of respondents continue to say that their organizations have adopted AI in more than one business function, suggesting that AI use remains limited in scope. Product and service development and service operations continue to be the two business functions in which respondents most often report AI adoption, as was true in the previous four surveys.

“Our faculty are developing and leveraging state-of-the-art neural network models that can rapidly predict the dynamics of molecular systems and have applied these techniques to discover new materials for catalysis and carbon capture. The artificial intelligence market size was valued at USD 150 billion in 2023 and is expected to reach USD 1345 Billion by 2030, growing at a CAGR of 36.8%, as per the Markets and Markets report. Disclaimer – The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

USD offers a 100% online master’s degree in Applied Artificial Intelligence, which is ideally suited to those with a background in science, mathematics, engineering, health care, statistics or technology. But the program is also structured to train those from other backgrounds who are motivated to transition into the ever-expanding world of artificial intelligence. In fact, Dice Insights reported in 2019 that data engineering is a top trending job in the technology industry, beating out computer scientists, web designers, and database architects [2]. Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale. Organizations have the ability to collect massive amounts of data, and they need the right people and technology to ensure it is in a highly usable state by the time it reaches data scientists and analysts.

In this article, you’ll learn more about machine learning engineers, including what they do, how much they earn, and how to become one. Afterward, if you’re interested in pursuing this impactful career path, you might consider enrolling in IBM’s AI Engineering Professional Certificate and start building job-relevant skills today. —MSU is offering the Master of Applied Data Science focused toward working adults who may have a variety of bachelor’s degrees.

• But a much smaller share of respondents report hiring AI-related-software engineers—the most-hired role last year—than in the previous survey (28 percent in the latest survey, down from 39 percent).
• In this article, you’ll learn more about machine learning engineers, including what they do, how much they earn, and how to become one.
• You’ll study with experts who are driving innovation across industries and hold an optional paid co-op or internship with a choice of 700+ industry partners.

We see a majority of respondents reporting AI-related revenue increases within each business function using AI. And looking ahead, more than two-thirds expect their organizations to increase their AI investment over the next three years. The Master of Arts in Teaching Elementary Level Alternate Route is specifically designed to address the state’s challenge of recruiting and retaining quality teachers. The U.S. Bureau of Labor Statistics projects about 377,500 openings through 2032, on average, in computer and information technology occupations. While many openings are due to employment growth, an aging and retiring workforce also is a contributor. The bureau reports the median annual wage at $104,420 as of 2023, significantly higher than the median annual wage of $48,060 for all occupations.

How to become a systems engineer

They can specialize in human-computer interactions, human vision, or business intelligence. Don’t be discouraged if you apply for dozens of jobs and don’t hear back—data science, in general, is such an in-demand (and lucrative) career field that companies can receive hundreds ai engineer degree of applications for one job. Artificial intelligence engineers are individuals who use AI and machine learning techniques to develop applications and systems that can help organizations increase efficiency, cut costs, increase profits, and make better business decisions.

Here, we outline the steps it takes to enter the field, including the necessary education, projects, experiences, specializations, and certifications. Computers can calculate complex equations, detect patterns, and solve problems faster than the human brain ever could. Artificial intelligence (AI) is the science of making intelligent machines and computer programs. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

You can foun additiona information about ai customer service and artificial intelligence and NLP. This article discusses the role of artificial intelligence in human resources. Get details about course requirements, prerequisites, and electives offered within the program. All courses are taught by subject-matter experts who are executing the technologies and techniques they teach.

While you’re learning new programming languages and mathematical skills to grow in your professional role, you’ll also want to focus on developing your soft skills. These skills are harder to quantify, but they’ll be crucial to your success in any technical role. R is commonly used for statistical software development, data analysis, and/or data visualization in AI. And C++ is known for its very fast processing speed, which is essential to the performance of complex machine learning models. Artificial intelligence helps machines learn from experience, perform human-like tasks, and adjust to algorithms’ new input data, and it relies on deep learning, natural language processing, and machine learning. We have assembled a team of top-level researchers, scientists, and engineers to guide you through our rigorous online academic courses.

Accreditation is important because it shows that an institution meets rigorous academic standards, eases your ability to transfer credits, and helps employers validate the quality of education on your resume or application. Earning your computer science degree from a leading university on Coursera means experiencing greater flexibility than in-person degree programs, so you can learn at your pace around your other responsibilities. On Coursera, you’ll find online computer science degrees at both the undergraduate and graduate level. To figure out which one might be best for you, it helps to first understand why you want to earn a degree and what you hope to get out of your education. Mosaic AI, the company’s suite of tools for building AI applications, got a major upgrade to help teams build trusted, production-grade compound AI systems.

In terms of education, you first need to possess a bachelor’s degree, preferably in IT, computer science, statistics, data science, finance, etc., according to Codersera. Prerequisites also typically include a master’s degree and appropriate certifications. Gain foundational knowledge in systems engineering with the University of New South Wales Sydney’s online program, Introduction to Systems Engineering.

Another popular example is in transportation, where self-driving cars are driven by AI and machine learning technology. It’s especially useful in the health care industry because AI can power robots to perform surgery and generate automated image diagnoses. If you’re looking to become an artificial intelligence engineer, a master’s degree is highly recommended, and in some positions, required. You’ll play an important role in an organization’s success, providing easier access to data that data scientists, analysts, and decision-makers need to do their jobs. You’ll rely on your programming and problem-solving skills to create scalable solutions. Yes, both a bachelor’s and a master’s in computer science can be worth it—depending on your goals and your resources.

Unlike a more conventional Doctor of Philosophy, or PhD, program that might involve the creation of a research dissertation that is more theoretical in nature, a Doctor of Engineering requires completing a significant applied research project. Financial aid is only available for students who are enrolled in a degree program and taking at least 6 credits per quarter. Students who are enrolled in a certificate but not a degree are not eligible for financial aid.

You will learn about the different deep learning models and build your first deep learning model using the Keras library. As these technologies advance and society adopts new technologies that use AI, the field is only going to continue to grow, which means there will likely be plenty of jobs to apply to for anyone interested in getting into this field. Working in AI means you’ll support the development of cutting-edge technology that directly impacts people and businesses on a daily basis. Not to mention, in the U.S., AI Engineers earn a comfortable average salary of $164,769, according to data from ZipRecruiter. Within these frameworks, students will learn to invent, tune, and specialize AI algorithms and tools for engineering systems. AI engineers play a crucial role in the advancement of artificial intelligence and are in high demand thanks to the increasingly greater reliance the business world is placing on AI.

Upon completion of program requirements, students receive a Master of Advanced Study in Engineering degree. You can also display your chosen theme area on your resume to demonstrate your specialized skills. Design your degree learning journey with the Berkeley MAS-E Curriculum Planner, your comprehensive guide to exploring and creating your unique plan to help you meet your career goals. Professor Rong Pan played a pivotal role in the discussion of the degree’s industrial engineering component.