


Offered by the University of Colorado Boulder
30 courses total (30 credit hours) full or part-time, 5–8 hours/week per credit hour
Flexible pay-as-you-go payment options with no hidden costs or fees
Start learning and show us you’re ready, regardless of your background
Lecture videos, hands-on projects, and connection with faculty and peers
Immerse yourself in the theory, tools, and application of artificial intelligence with the only English-language AI degree available on Coursera. The Master of Science in Artificial Intelligence (MS-AI) is designed for learners who want to specialize deeply in AI and machine learning, positioning themselves at the forefront of technological innovation.
This degree is a focused, deep dive into the most powerful technologies reshaping our world. You will gain advanced expertise in neural networks, deep learning, generative AI, and reinforcement learning. The curriculum is highly applied, preparing you to design, train, and deploy the intelligent systems that power modern products and services. You’ll acquire the end-to-end skills to manage projects through the entire AI lifecycle, from model building to scalable deployment. In addition to technical mastery, you will explore the critical context of responsible AI, learning to mitigate bias and understand the societal impact of your work.
Program admission is performance-based, determined by your success in three preliminary courses, not your academic history, making a career in the high-growth field of artificial intelligence accessible. You’ll graduate from a top-ranked global research university, prepared for essential roles like Machine Learning Engineer, NLP Engineer, or Applied Scientist in high-growth, AI-driven industries.
为确保顺利开始,请开始注册并预留两周时间完成注册。
敬请关注!
立即开始注册或索取更多信息。
为确保顺利开始,请在两周内完成注册。
Offered by the University of Colorado Boulder
30 courses total (30 credit hours) full or part-time, 5–8 hours/week per credit hour
Flexible pay-as-you-go payment options with no hidden costs or fees
Start learning and show us you’re ready, regardless of your background
Lecture videos, hands-on projects, and connection with faculty and peers
Offered by the University of Colorado Boulder
30 courses total (30 credit hours) full or part-time, 5–8 hours/week per credit hour
Flexible pay-as-you-go payment options with no hidden costs or fees
Start learning and show us you’re ready, regardless of your background
Lecture videos, hands-on projects, and connection with faculty and peers
Immerse yourself in the theory, tools, and application of artificial intelligence with the only English-language AI degree available on Coursera. The Master of Science in Artificial Intelligence (MS-AI) is designed for learners who want to specialize deeply in AI and machine learning, positioning themselves at the forefront of technological innovation.
This degree is a focused, deep dive into the most powerful technologies reshaping our world. You will gain advanced expertise in neural networks, deep learning, generative AI, and reinforcement learning. The curriculum is highly applied, preparing you to design, train, and deploy the intelligent systems that power modern products and services. You’ll acquire the end-to-end skills to manage projects through the entire AI lifecycle, from model building to scalable deployment. In addition to technical mastery, you will explore the critical context of responsible AI, learning to mitigate bias and understand the societal impact of your work.
Program admission is performance-based, determined by your success in three preliminary courses, not your academic history, making a career in the high-growth field of artificial intelligence accessible. You’ll graduate from a top-ranked global research university, prepared for essential roles like Machine Learning Engineer, NLP Engineer, or Applied Scientist in high-growth, AI-driven industries.
为确保顺利开始,请开始注册并预留两周时间完成注册。
敬请关注!
![[Featured Image] A network administration answers, "What does the term attenuation mean in data communication?" as they talk to two coworkers gathered around a desktop computer station in a networking room.](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://images.ctfassets.net/wp1lcwdav1p1/5hGgxasNoqo4oyTt15ziX8/644bcb66c9b7960f554ff6e56a6f7162/GettyImages-672157207.jpg?auto=format%2Ccompress&dpr=2&blur=200&px=8&max-w=5122)
Not sure if you’re ready to begin earning your degree? Start making progress by taking eligible content that aligns with your goals and interests. Gain in-demand skills while building towards a degree.
These are some of the courses that are part of the degree program. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.
*Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
![[Featured Image] A network administration answers, "What does the term attenuation mean in data communication?" as they talk to two coworkers gathered around a desktop computer station in a networking room.](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://images.ctfassets.net/wp1lcwdav1p1/5hGgxasNoqo4oyTt15ziX8/644bcb66c9b7960f554ff6e56a6f7162/GettyImages-672157207.jpg?auto=format%2Ccompress&dpr=2&blur=200&px=8&max-w=5122)
![[Image en vedette] Un homme d’affaires utilise Google Dashboards pour travailler avec des analyses.](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://images.ctfassets.net/wp1lcwdav1p1/2AN9U39z5dKRWUrFZEL10T/f87861f2a684ba119d17ef1b9342aa03/GettyImages-2012747478.jpg?auto=format%2Ccompress&dpr=2&blur=200&px=8&max-w=7952)
CU Boulder's MS-AI program offers a performance-based pathway for all learners - with or without a bachelor’s degree or conventional STEM experience.
Simply complete a three-course pathway in either machine learning or statistical learning for credit. Achieve at least a B in each course, and you’ll be admitted to the master’s degree.
There’s no application required, and with six start dates per year, you can register for the pathway and start studying as soon as you’re ready.
![[Image en vedette] Un homme d’affaires utilise Google Dashboards pour travailler avec des analyses.](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://images.ctfassets.net/wp1lcwdav1p1/2AN9U39z5dKRWUrFZEL10T/f87861f2a684ba119d17ef1b9342aa03/GettyImages-2012747478.jpg?auto=format%2Ccompress&dpr=2&blur=200&px=8&max-w=7952)
Don’t miss your chance to join the cohort!
这些课程是学位课程的一部分。如果您被录取并注册,您已完成的课程可以计入您的学位学习,您的学习进度也可以随之转移。

University of Colorado Boulder
Launch your career in financial management
初级 · 专项课程

University of Colorado Boulder
Computer Vision from Fundamentals to Advanced
中级 · 专项课程

University of Colorado Boulder
Explore the Frontier of Ethical Computing
初级 · 专项课程
必须成功申请并注册。资格要求适用。各院校会根据您现有的学分情况,确定完成本课程后可计入学位要求的学分。单击特定课程了解更多信息。
是的,与校内课程相同。课程完成后,您将收到毕业证书。这是授予人工智能理学硕士的学位,毕业证书上不会提到 Coursera 或在线学习。
本专业毕业生可胜任高级人工智能和机器学习职位,如机器学习工程师、NLP 工程师、应用科学家以及其他专注于智能系统和人工智能驱动的产品开发的技术职位。
是的,Coursera 上的 MS-AI 课程已纳入科罗拉多大学博尔德分校高等教育委员会(HLC)的整体认证范围。
是的,您可以参加非学分体验课程。这样,您就可以先在 Coursera 课程上完成 MS-AI 的一些课程学习,然后再投入到学位课程的学习中。
您可以在学习过程中随时升级为学分制。您需要完成额外的分级作业才能获得 CU 学分(这些材料只有在您支付学费后才能获得)。
该课程专为人工智能和机器学习的深度专项课程而设计。学生将在神经网络、深度学习、生成式人工智能、强化学习、计算机视觉、NLP、责任人工智能以及支持现代人工智能系统的数学和统计学等领域积累专业知识。
理想的准备包括
本学位课程是自定进度的,每个学段没有最低或最高课程数量要求。
我们建议您在第一学期只选修一门课程,以适应研究生课程的要求。
之后,如果您准备好承担全日制研究生水平的课程,我们建议您每学期选修三门或更少的课程。
每学期学习三门课程,您有望在两年左右的时间内完成学业。要想毕业,您必须在八年内修完所有课程(共 30 个学分)。
根据中大博尔德分校研究生院的规定,您不能在两节课(一个学期)内注册超过 15 个学分。如果您想在两个学期内注册超过 15 门课程,您需要通过申请程序,证明您有能力成功完成额外的课程负担。
采用现收现付的学费方式,您只需在注册时支付下一期课程的学费。
课程为期八周,每年有六次入学机会。
每个学分的学费为 525 美元,修满 30 个学分的硕士学位学费为 15,750 美元。
Coursera上的中大课程:是的--您可以使用Coursera上其他中大课程的最多6个研究生水平学分作为Coursera上AI硕士学位的选修学分。
所有课程必须具有研究生水平,在 Coursera 上提供,并符合所有适用的学术标准。这包括Coursera上的ME-EM、MS-DS、MS-CS和MS-EE项目提供的所有课程。
这些课程的学分不能用于满足 MS-CS 要求:
课程不能两次计入两个相同级别的证书。这意味着
一旦达到所有要求,Coursera 上的中大证书将自动颁发。
中大其他课程的证书:否,该课程目前不接受中大课程(除上述课程外)的学分转移。
来自其他机构:否,该课程目前不接受其他院校或中大博尔德分校课程(以下所列课程除外)的学分转换。
Coursera 上的 MS-AI 面向全球学生开放。
但是,由于美国财政部外国资产控制办公室目前施加的限制,我们无法向以下国家提供在线课程:古巴、伊朗、苏丹、朝鲜、叙利亚和乌克兰克里米亚地区。
更多详情,请参阅 "中大在线课程交付限制"。
Don’t miss your chance to join the cohort!