Milwaukee School of Engineering
Machine Learning Online Programs
In today’s markets, problem solvers, pattern finders and those who aren’t afraid of the unknown are driving business forward. Engineering skill sets and mindsets are highly valued, and artificial intelligence (AI) concepts and technologies are being used to sift through massive amounts of data to help companies make meaningful business decisions. With this in mind, MSOE’s corporate partners and industry leaders are seeking employees with knowledge in AI and machine learning to strengthen their workforces. However, these skills are not easy to come by, which is why MSOE has developed online machine learning programs to fit the needs of motivated professionals and employers alike.
With MSOE’s machine learning programs, you will bolster your career with skills that put you on the cutting edge of today’s technologies, and make meaningful contributions to your organization by implementing key machine learning and AI applications. Learn more about our Graduate Certificate in Applied Machine Learning and our Master of Science in Machine Learning degree program.
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MSOE and You: Better Together
Earn your master’s or certificate in machine learning online with MSOE. Complete the form to get a program details sheet for the program of your choosing—Master of Science in Machine Learning or Graduate Certificate in Applied Machine Learning—delivered to your inbox.
MSOE’s Machine Learning Online Programs
MSOE Graduate Certificate in Applied Machine Learning
MSOE Master of Science in Machine Learning
Join us online and get the MSOE Advantage—more personal attention, more practical experience, and more career power—from wherever you live and work.
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Level Up With Cutting Edge Programs
Employers Know and Trust MSOE
The depth of analytical knowledge I gained from the Applied Machine Learning certificate program gives me the context for continued independent learning. Now, I know how to ask the right questions.
Evolve Your Career With Machine Learning
Machine learning and other AI technologies are essential to making strategic business decisions in a world driven by data. Professionals skilled in machine learning develop and implement computer algorithms that learn and improve over time as more knowledge and experience is gained. A subset of AI technology, machine learning is most often used to automate the analysis of large data sets and to build analytical models.
Machine Learning Today
In 2021, the machine learning market size was $15.44 billion.1 Unlike many fields, machine learning career opportunities have a global reach, as companies around the globe employ this technology to manage data and improve business practices and decision making. Machine learning was also positively impacted by the COVID-19 pandemic, as demand for applications to perform data analysis grew. This demand was led by the health care, retail, manufacturing and automotive sectors.
In 2021, a McKinsey survey noted that 56 percent of organizations had adopted AI in at least one function. This adoption was up from 50 percent in 2020. North America is the market leader for machine learning adoption. While Silicon Valley may currently dominate the hiring for machine learning and AI skills, these technologies are being adopted nationwide across a range of industries.
Companies leveraging machine learning in the Midwest—specifically Wisconsin—include:
American Family Insurance
The Future of Machine Learning and AI
Continued Advancements in AI Tech in Health Care
In health care, the COVID-19 pandemic ended up advancing technologies used by pharmaceutical companies, hospitals and other health care settings. There has also been an increased focus on how AI can impact nursing and patient care, especially via telehealth.3 Health care will continue to be a strong driver of AI and machine learning adoption in the coming years.
Increasing Value With a Personalized Retail Experience
Retail companies will also continue to push the boundaries of consumer personalization by using AI and machine learning technologies. Digitizing business functions that used to be handled manually with AI technology will ultimately result in personalized sales experiences for consumers that will deliver more value.3
Adoption of Natural Language Processing
AI and neuro-linguistic programming (NLP) are also drivers of machine learning market growth. You may have noticed significant advancements in natural language processing in recent years, especially if you use text to speak features on your phone. As this technology has improved, companies of all sizes and across various industries have put it to good use.
Admissions Dates and Deadlines
- Retrieved on September 30, 2021 from fortunebusinessinsights.com/machine-learning-market-102226
- Retrieved on September 17, 2020, from mckinsey.com/capabilities/quantumblack/our-insights/global-survey-the-state-of-ai-in-2021
- Retrieved on April 14 2021, from forbes.com/sites/forbestechcouncil/2021/02/18/four-ways-ai-and-machine-learning-will-drive-future-innovation-and-change/?sh=60fc83df21a8