


Offered by the University of Colorado Boulder
30 courses total (30 credit hours) full or part-time, 5-8 hours per week per course
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 instructors and peers
Choose the Master of Science in Computer Science (MS-CS) for a comprehensive and flexible foundation in tech. This program is designed for learners who want to build the core technical depth that underpins all computing careers, keeping the broadest range of doors open across the industry.
You will master computer science fundamentals, including algorithms, systems, programming, and security. This degree’s strength lies in its breadth, setting you up with transferable skills that make you a versatile "builder" who can adapt to many different teams and challenges. While building your core, you can customize your path with a variety of interdisciplinary electives in high-demand fields like artificial intelligence, data science, or electrical engineering.
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 computer science accessible. You’ll graduate from a top-ranked global research university, prepared for essential roles like Software Engineer, Cloud Engineer, or DevOps Engineer, where core computer science skills are paramount.
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 per week per course
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 instructors and peers
Offered by the University of Colorado Boulder
30 courses total (30 credit hours) full or part-time, 5-8 hours per week per course
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 instructors and peers
Choose the Master of Science in Computer Science (MS-CS) for a comprehensive and flexible foundation in tech. This program is designed for learners who want to build the core technical depth that underpins all computing careers, keeping the broadest range of doors open across the industry.
You will master computer science fundamentals, including algorithms, systems, programming, and security. This degree’s strength lies in its breadth, setting you up with transferable skills that make you a versatile "builder" who can adapt to many different teams and challenges. While building your core, you can customize your path with a variety of interdisciplinary electives in high-demand fields like artificial intelligence, data science, or electrical engineering.
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 computer science accessible. You’ll graduate from a top-ranked global research university, prepared for essential roles like Software Engineer, Cloud Engineer, or DevOps Engineer, where core computer science skills are paramount.
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!

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.


Simply complete a three-course pathway in either data structures and algorithms or software architecture on Coursera with at least a B in each course and you’ll be accepted—even if you don't hold a bachelor’s degree. No application is required.

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
Design Autonomous Systems with Guarantee
中级 · 专项课程


University of Colorado Boulder
Computer Vision from Fundamentals to Advanced
中级 · 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。
学生在 Coursera 上获得的 MS-CS 文凭与学生在中大博尔德校内课程中获得的文凭相同。 文凭上没有"online" 或"Coursera" 名称。 毕业证书上将注明学生已获得科罗拉多大学博尔德分校理学硕士学位。
本专业培养的毕业生可胜任计算机技术岗位,这些岗位需要在算法、系统、编程和软件开发方面打下坚实的基础。它与软件工程师、云计算工程师、DevOps 工程师和其他核心计算机科学职位的发展方向非常吻合。
是的,Coursera 上的 MS-CS 属于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。
您可以试用我们的路径课程一周,并获得全额退款。 您需要在开课日期后 7 个日历日内退学,才有资格获得退款。 注册时请密切注意截止日期。 这是了解自己是否准备好迎接计算机科学硕士课程的刺激和严谨的好方法。
该学位是自定进度的,每期没有最低或最高课程数量要求。 我们建议新生在第一学期选修一门课程,以适应研究生课程的要求。 在随后的课程中,我们建议学生选修三门课程--相当于全日制研究生水平的课程量或更少。 学生每学期选修三门课程,约两年时间即可完成学业。 学生必须在八年内完成所有课程(共 30 个学分)。
是的,两个版本的课程都由同样经验丰富的教师负责。
使用 "现收现付 "学费,您只需在注册时支付下一学年的课程费用。 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,Coursera 上的其他中大课程中最多 6 个研究生级别的学分可作为选修课学分计入 Coursera 上的 MS-CS 学位。 所有课程必须为研究生水平,在 Coursera 上提供,并符合所有适用的学术标准。 这包括 Coursera 上由ME-EM、MS-DS 和MS-EE项目提供的所有课程,这些课程均不以"CSCA" 前缀开头,但以下课程除外。
这些课程的学分不能用于满足 MS-CS 要求:
从其他中大课程转来的学分: 否,除上述课程外,本课程目前不接受其他中大课程的转学分。
来自其他院校: 否,该课程目前不接受其他院校或中大博尔德分校课程的转学分,以下列出的课程除外。
Coursera 上的 MS-CS 课程向世界各地的学生开放。 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。 有关详情,请参阅 "中央大学在线课程交付限制"。
在 Coursera 上,两个或两个以上的中大博尔德学位课程提供交叉列出的课程。 例如,"动态编程、贪婪算法 "既作为 CSCA 5414(MS-CS)课程提供,也作为 DTSA 5503(MS-DS)课程提供。
外部选修课(有时称为 "外部 "选修课)是由 Coursera 上其他中大博尔德学位课程提供的课程。 您可以将从外部选修课程中获得的学分用于完成学位选修要求。 学费因课程而异。 学分有限制,并非所有课程都适用于所有学位课程。 详情和限制条件请参阅您所在专业的学生手册。
以下课程不被视为校外选修课:
例如,"数据挖掘管道 "是一门一学分的交叉课程,可作为 DTSA 5504 和 CSCA 5502 课程使用。 CSCA 5502 不被视为数据科学专业学生的校外选修课,DTSA 5504 不被视为计算机科学专业学生的校外选修课。 这些课程将被视为电气工程和工程管理专业学生的校外选修课,因为它们没有分别与 ECEA 或 EMEA 课程交叉列出。
Don’t miss your chance to join the cohort!