The Online Certificate in Data Science at Tufts University is a graduate certificate focused on the statistical, computational, and machine learning methods used to analyze data and generate meaningful insight. Students build knowledge in areas including probability and statistics, data visualization, machine learning, data infrastructure, and computational analysis.
The program is jointly administered by the Department of Computer Science and the Department of Electrical and Computer Engineering. Students complete a minimum of five courses through full-time or part-time online study and typically complete the certificate in 12 to 24 months. The total number of credits varies according to the courses selected.
The Online Certificate in Data Science is designed for students and professionals with a Bachelor of Science in a STEM field who want to build foundational knowledge in data science, strengthen their qualifications for advanced study, or pursue career development through focused graduate coursework.
This program may be a strong fit for applicants who want to:
Non-STEM applicants seeking foundational preparation in mathematics, programming, and computer science for data science should explore the Online Post-Baccalaureate Certificate in Data Science.
Students complete a minimum of five graduate courses that develop knowledge across core areas of data science.
Students complete coursework in:
Students select additional coursework in areas such as:
Through this coursework, students build knowledge in:
The Online Certificate in Data Science is jointly administered by the Department of Computer Science and the Department of Electrical and Computer Engineering at Tufts University School of Engineering.
Together, these departments support teaching and research in data science, machine learning, software and data systems, statistical signal processing, information theory, computational biology, visualization, scalable computing, and data-driven modeling. Students build data science knowledge within an interdisciplinary engineering environment that connects computation, systems, quantitative methods, and real-world applications.
Students study data science through both computer science and electrical and computer engineering, developing knowledge across machine learning, statistics, computational systems, data infrastructure, and analytical methods.
The certificate combines core study in probability or statistics and machine learning with elective work in data infrastructure, data analysis and interfaces, and computational or theoretical methods. This structure supports focused graduate preparation across essential data science areas.
Complete graduate-level data science coursework online through full-time or part-time study, with the flexibility to balance your education with work and other commitments.
Students who complete certificate requirements with grades of B- or better may apply for admission to the Online M.S. in Data Science. If accepted, graduate credits earned toward the certificate may be eligible to transfer toward master’s degree requirements.
The Online Certificate in Data Science can support students and professionals who want to develop graduate-level knowledge in analyzing, interpreting, and communicating with data. Students may use this credential to strengthen preparation relevant to areas such as:
Students complete a minimum of five graduate courses, including core study in probability or statistics and machine learning, along with elective coursework in data infrastructure, data analysis and interfaces, and computational or theoretical data analysis.
The program is designed for applicants with a Bachelor’s of Science in a STEM field who are ready for graduate-level study in data science. Applicants should review the current admissions requirements to determine whether the Online Certificate in Data Science or the Online Post-Baccalaureate Certificate in Data Science best matches their academic background.
The School of Engineering offers partial tuition scholarships for a select group of Engineering master’s and certificate programs. When you apply for admission, you’ll automatically be considered, there’s no separate scholarship application or additional information required. Applicants are encouraged to apply early for priority scholarship consideration.
Applicants can apply online through Tufts Graduate Admissions Portal. Required materials typically include transcripts, a resume or CV, letters of recommendation, and a statement of purpose. International applicants may also need to submit English proficiency documentation. Visit the admissions page for current deadlines and application requirements.
Research/Areas of Interest: Artificial intelligence, machine learning, reinforcement learning.
Research/Areas of Interest: data science, software systems engineering, performance analysis, system, network, and data management
Research/Areas of Interest: Machine Learning, Statistical Signal Processing, Information Theory, Optimal Transport
Research/Areas of Interest: computational molecular biology, data science, graph algorithms, network science, discrete mathematics
Research/Areas of Interest: Machine learning : probabilistic models, Bayesian inference, variational methods, time-series analysis, semi-supervised learning Clinical informatics : electronic health record analysis
Research/Areas of Interest: Machine Learning, Data Science, Deep Learning, Generative Models, Time Series, Graph Learning
Research/Areas of Interest: data science, algorithms for analysis of biological networks, gene and pathway regulation in human development, algorithms for precision medicine, computational approaches to pharmacogenomics and drug discovery or repositioning