
Webinar on May 28: Explore the University of Pittsburgh Master of Data Science | Register here


Offered by the University of Pittsburgh, a top-ranked, Carnegie R1 research institution
10 courses total (30 credits), 9-10 hours per week
Pay-as-you-go for the courses you enroll in, one term at a time
Start learning and show you’re ready, regardless of your background
Lecture videos, hands-on projects and live sessions with instructors and peers
Advance or start your career with the fully online Master of Data Science (MDS) program from the University of Pittsburgh, a Forbes 2025 ‘New Ivy’ institution. This 30-credit program is designed for individuals from diverse academic backgrounds and provides core concepts in computation, statistics, predictive modeling, large language models (LLMs), and machine learning. Through experiential projects, you will learn to answer complex questions with data and build a professional portfolio at your own pace.
The Master of Data Science degree program is uniquely designed to teach the ethical use of data. You will explore the social impact of data science; develop skills in data exploration and visualization, data management and curation; learn to choose appropriate methods, validate findings, and make informed decisions as a responsible professional.
Admission does not require prior programming experience or a specific academic history beyond a 4-year bachelor’s degree. The fully accredited MDS program is performance-based, allowing you to secure full admission by earning a B or higher grade in the initial three-credit course.
Offered by the University of Pittsburgh, a top-ranked, Carnegie R1 research institution
10 courses total (30 credits), 9-10 hours per week
Pay-as-you-go for the courses you enroll in, one term at a time
Start learning and show you’re ready, regardless of your background
Lecture videos, hands-on projects and live sessions with instructors and peers
Offered by the University of Pittsburgh, a top-ranked, Carnegie R1 research institution
10 courses total (30 credits), 9-10 hours per week
Pay-as-you-go for the courses you enroll in, one term at a time
Start learning and show you’re ready, regardless of your background
Lecture videos, hands-on projects and live sessions with instructors and peers
Advance or start your career with the fully online Master of Data Science (MDS) program from the University of Pittsburgh, a Forbes 2025 ‘New Ivy’ institution. This 30-credit program is designed for individuals from diverse academic backgrounds and provides core concepts in computation, statistics, predictive modeling, large language models (LLMs), and machine learning. Through experiential projects, you will learn to answer complex questions with data and build a professional portfolio at your own pace.
The Master of Data Science degree program is uniquely designed to teach the ethical use of data. You will explore the social impact of data science; develop skills in data exploration and visualization, data management and curation; learn to choose appropriate methods, validate findings, and make informed decisions as a responsible professional.
Admission does not require prior programming experience or a specific academic history beyond a 4-year bachelor’s degree. The fully accredited MDS program is performance-based, allowing you to secure full admission by earning a B or higher grade in the initial three-credit course.

University of Pittsburgh offers a performance-based pathway for all learners for the Master of Data Science degree. Get admitted based on your performance in approved courses - no application required.
Complete a one-course pathway in Data-Centric Computing for credit. Achieve at least a B and on providing proof of your bachelor’s degree, you’ll be admitted to the degree program.
Learn more by watching a recording of the demo course, including a Q&A session — watch here.
*Eligibility requirements apply. Each institution determines the successful course completion required to qualify for performance-based admission. Review the admissions process for this degree program for more information. Click on a specific course for details.

学位总学费 15,000 美元
。
30 个学分的数据科学硕士学位课程总学费为 15,000 美元。
学费每年更新一次。*

The University of Pittsburgh, a world-class New Ivy and R1* research institution, offers a top-ranked degree grounded in academic excellence. You will learn from renowned faculty whose research, funded by organizations like the National Science Foundation, the Air Force Office of Scientific Research, the U.S. Department of Energy, and more, shapes the program’s holistic curriculum.
The program prepares you for leadership roles by providing hands-on experience solving data challenges with data from our community and corporate partners.
*R1 is an elite designation given by the Carnegie Classification of Institutions of Higher Education to universities with the highest levels of research activity. Typically, less than 5% of institutions qualify for R1 status

Don't miss your chance to join this 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。

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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。 课程结束后,您将获得毕业证书。 这是授予数据科学硕士的学位,您的毕业证书上不会提到 Coursera 或在线学习。
不,数据科学硕士课程不能在在线和校内课程之间转换,因为该课程仅在线提供。
是的,教授校内课程的敬业而高素质的教师们也同样教授 MDS 在线课程。 致力于保持校内和在线教育教学质量的一致性,是我们教育方法的基本组成部分。
是的,每位教师都会提供在线办公时间。 这意味着您将有机会在课外与您的导师进行交流,提出问题,寻求澄清,并获得额外的支持,以提升您的学习体验。
要获得 MDS 课程的入学资格,您需要在 Coursera 平台上完成三学分的路径课程。 如果该课程的 GPA 达到或超过 3.0,您就可以被学位课程录取。
我们还需要您的学士学位证明。 这通常是通过自动程序完成的,但如果我们在通过这种方式验证您的资格时遇到技术困难,我们可能会要求您提供成绩单。
所有余额在 300 美元或以上的匹兹堡大学在校生均可选择 3 至 6 个月的缴费计划,视学期而定(秋季和春季学期为 6 个月,夏季学期为 3 个月)。 每学期注册缴费计划需缴纳 45 美元的注册费。 然后,自动分期付款将从您的付款来源中提取。
是的,国际学生需要提供以下英语水平证明之一:
国际学生还需提交匹兹堡大学认为与美国地区认可院校学士学位相当的学历证明。 国际申请者需提交官方学历证书原件。 以英语以外的语言颁发的官方学历证书原件必须附有经认证的英语译文。 了解更多。
这些要求是学士学位/成绩单和完成三学分路径课程(GPA 达到 3.0 或更高(4.0 分制))之外的额外要求。
该课程的学制为 20 个月。它包括 10 门课程,总计 30 个学分,学生应计划每周学习 9 到 10 个小时。
学费总额为 15,000 美元。该项目采用现收现付模式,因此学生只需支付每学期所选课程的费用,而无需预付全额学费。
该课程专为来自不同学术背景的学生设计,无需编程经验。学生通过实践项目和 "毕业设计 "式的作品集重点培养计算、统计、预测建模、大型语言模型、机器学习、数据可视化、数据管理和负责任的数据科学等方面的技能。
Don't miss your chance to join this cohort!