Webinar on October 23: University of Pittsburgh’s Master of Data Science Webinar | 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
Get a free preview of Pitt's Data Centric Computing PBA course - just submit a "Request info" form
Lecture videos, hands-on projects and live sessions with instructors and peers
Advance or start your career in data science with the University of Pittsburgh’s fully online Master of Data Science (MDS) program. This 30-credit program will provide students with core computational, mathematical, and statistical concepts as well as predictive and database modeling, machine learning, data exploration, data management, and data curation.
Students will gain abilities to pose and answer real-world questions through data and complete experiential projects to build a portfolio they can share with potential employers, all at their own pace. The program adopts an inclusive approach, allowing individuals from diverse academic backgrounds beyond STEM who hold bachelor's degrees to acquire the essential knowledge and skills needed for a successful career in data science.
The MDS program is uniquely designed to unlock the ethical use of data and teach students how to explore the social impact of data science and craft their professional path to becoming responsible data scientists. Students will learn to choose the right methods, validate findings, and make ethically informed decisions.
There are no admissions process requiring prior data or computer science work, programming experience or even an academic history beyond a bachelor’s degree. The fully accredited MDS program is performance-based, requiring students to attain a B grade or higher in an initial, three-credit course to continue toward the graduate degree.
Pursuing an advanced degree is not a decision that should be taken lightly – that’s why we developed a free preview of the pathway course. By clicking the “Request Info” button at the top of the page, you will receive free access to preview Pitt’s Data Centric Computing PBA course. The best part? Your progress will transfer if you choose to enroll in the master’s program. Request more info today to gain access.
Get started on your enrollment form or request more information.
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
Get a free preview of Pitt's Data Centric Computing PBA course - just submit a "Request info" form
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
Get a free preview of Pitt's Data Centric Computing PBA course - just submit a "Request info" form
Lecture videos, hands-on projects and live sessions with instructors and peers
Advance or start your career in data science with the University of Pittsburgh’s fully online Master of Data Science (MDS) program. This 30-credit program will provide students with core computational, mathematical, and statistical concepts as well as predictive and database modeling, machine learning, data exploration, data management, and data curation.
Students will gain abilities to pose and answer real-world questions through data and complete experiential projects to build a portfolio they can share with potential employers, all at their own pace. The program adopts an inclusive approach, allowing individuals from diverse academic backgrounds beyond STEM who hold bachelor's degrees to acquire the essential knowledge and skills needed for a successful career in data science.
The MDS program is uniquely designed to unlock the ethical use of data and teach students how to explore the social impact of data science and craft their professional path to becoming responsible data scientists. Students will learn to choose the right methods, validate findings, and make ethically informed decisions.
There are no admissions process requiring prior data or computer science work, programming experience or even an academic history beyond a bachelor’s degree. The fully accredited MDS program is performance-based, requiring students to attain a B grade or higher in an initial, three-credit course to continue toward the graduate degree.
Pursuing an advanced degree is not a decision that should be taken lightly – that’s why we developed a free preview of the pathway course. By clicking the “Request Info” button at the top of the page, you will receive free access to preview Pitt’s Data Centric Computing PBA course. The best part? Your progress will transfer if you choose to enroll in the master’s program. Request more info today to gain access.
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.
*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 is a highly-ranked R1* public institution. Data Science links the School of Computing and Information to many other Schools and departments across campus, through a variety of cross-disciplinary projects.
Our faculty have received research grants from various institutions, including:
The National Science Foundation
The Office of Naval Research
The Air Force Office of Scientific Research
The Air Force Research Laboratory
The National Institute of Standards and Technology
The National Institutes of Health
The U.S. Department of Energy
The U.S. Department of Veterans Affairs.
Our students will benefit from our renowned faculty and our School’s tradition of quality, rigor and extensive research experience, setting them on a trajectory to professional success. Pitt’s MDS develops essential practical skills necessary for advancing your career in data science.
The program prepares you for leadership roles such as data scientist or data architect, while immersing you in industry case studies to provide experience of real world data challenges. You’ll explore a wide array of relevant topics, equipping you for success in your data science career.
*R1 is an elite designation given by the Carnegie Classification of Institution 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 the intake!
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 Pittsburgh
初级 · 专项课程
University of Pittsburgh
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。
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。
Don’t miss your chance to join the intake!