The University of Texas, Austin is starting a brand new on-line Masters program in synthetic … [+] intelligence.

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The University of Texas at Austin is partnering with edX, a number one on-line studying platform based by Harvard and MIT a decade in the past, to supply a low-cost, on-line Grasp of Science diploma in Artificial Intelligence (MSAI).

The brand new program is priced very competitively, with a listed tuition of $10,000 plus different charges, and it comes at a time when curiosity in AI is booming largely to new functions just like the chatbot ChatGPT and the text-to-image mannequin Steady Diffusion. Each applied sciences must be far more totally researched and understood, notably with regard to their potential makes use of and abuses. And each level to the quickly accelerating demand for extra good expertise, a pattern that’s attracting billions in new investments.

Whereas the tech trade has seen a major slowdown of late, illustrated by Google’s and Microsoft’s latest layoffs, AI stays a hiring brilliant spot in keeping with the World Financial Discussion board, which listed jobs involving AI and machine studying as among the many most in-demand and fastest-growing fields. There’s little doubt that the quick tempo of AI discoveries and applied sciences could have huge influence on a number of financial sectors, together with healthcare, finance, enterprise, communications, and academia.

“No major university has yet launched an online, scalable AI masters degree that can attract large numbers of students by giving them a flexible, accessible, and high-quality education pathway,” stated Artwork Markman, vice provost for tutorial affairs on the University of Texas, Austin. “UT Austin recognizes the need for AI specialists across industries. Building on our successful decade-long partnership with edX, we’re developing a program that can accommodate and support learners from all backgrounds, prepare students for an ever-growing variety of career opportunities, and increase the number of highly trained AI practitioners.”

The brand new program, to be delivered by UT Austin’s Division of Laptop Science and Machine Studying Laboratory, is designed to organize professionals in areas similar to machine studying, pure language processing, laptop imaginative and prescient, and robotics. It’ll encompass the next 4 required programs and 6 elective programs:

  • Required programs:
  • Deep Studying
  • Machine Studying
  • Reinforcement Studying
  • Logic and Reasoning
  • Elective programs:
  • Optimization
  • Online Studying and Optimization
  • Automated Logical Reasoning
  • Pure Language Processing
  • Case Research in Machine Studying
  • Ethics in AI

“We’ve developed the curriculum for the MSAI program with faculty members who are leaders in their fields and committed to student success,” stated Eric Busch, director of the Laptop and Information Science Online program, within the college’s launch. “It’s not just an ‘online degree.’ It’s an immersive and connected community of learners and a credential from UT Austin that opens doors.”

UT Austin has develop into a number one heart for machine studying, and it presently gives on-line packages in laptop science, information science and pure science by edX, with which it has partnered since 2012.

Andrew Hermalyn, president of partnerships at edX, a 2U firm, believes that UT’s “new AI diploma will develop into an vital on-ramp into the occupation for college students who’ve been not noted of the sector because of the excessive price and inaccessibility of conventional packages. As these applied sciences proceed to mature and develop into built-in into on a regular basis life, packages like these at UT Austin may help educate learners across the globe to develop these applied sciences in a accountable and moral method.”

Functions for the MSAI program open in June 2023, with the primary courses starting January 2024, pending approval by the Texas Larger Schooling Coordinating Board.


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The Obsessed Guy
Hi, I'm The Obsessed Guy and I am passionate about artificial intelligence. I have spent years studying and working in the field, and I am fascinated by the potential of machine learning, deep learning, and natural language processing. I love exploring how these technologies are being used to solve real-world problems and am always eager to learn more. In my spare time, you can find me tinkering with neural networks and reading about the latest AI research.

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