{"id":3390,"date":"2025-05-21T14:04:02","date_gmt":"2025-05-21T18:04:02","guid":{"rendered":"https:\/\/www.bu.edu\/online\/?post_type=bu-program-page&#038;p=3390"},"modified":"2026-07-29T11:38:17","modified_gmt":"2026-07-29T15:38:17","slug":"ms-data-science","status":"publish","type":"bu-program-page","link":"https:\/\/www.bu.edu\/online\/degrees-certificates\/data-science\/ms-data-science\/","title":{"rendered":"Online Master of Science in Data Science"},"content":{"rendered":"\n<h2>Degree Details<\/h2>\n\n\n\n<p>Boston University&#8217;s online MS in Data Science prepares you to build the data science behind AI. Designed for professionals who want to turn data into insight and intelligent action, the program delivers hands-on training across statistics, machine learning, AI programming in Python, and large language models. You will develop the technical depth to build and evaluate the models at the core of modern AI systems, taught by expert faculty who pair rigorous theory with real-world application. Whether you are advancing or changing your career, this flexible, in-depth curriculum prepares you to do work that matters in an AI-driven economy.<\/p>\n\n\n\n<h2>A Curriculum Built for the AI Era<\/h2>\n\n\n\n<p>The 30-credit curriculum spans 11 modules and can be completed in as little as 16 months. Modules are taken in sequence, each building on the last, so you develop expertise progressively from core methods through applied AI. You will work in cloud-based programming environments with real-world datasets, and through a series of mini projects and a comprehensive capstone you will build a professional portfolio that shows employers what you can do.<\/p>\n\n\n\n<h2>Who This Program Is For<\/h2>\n\n\n\n<p>This program is built for professionals who want to understand and build the data science that powers AI, not just use AI tools. You will fit well if you:<\/p>\n\n\n\n<ul><li>Work with data, analytics, or engineering and want to move deeper into machine learning and AI.<\/li><li>Are changing careers into data science and AI and want rigorous, applied training with a portfolio to show for it.<\/li><li>Want the technical depth to build and evaluate models, not only to apply finished AI products.<\/li><\/ul>\n\n\n<div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\">Curriculum<\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n\n\n\n<p>The program features 30 units across a sequence of modules. Most students complete the program in part-time study, following preparatory bootcamp work before the start of class.<\/p>\n\n\n\n<details>\n  <summary><strong>Module A \u2014 DX 500 Data Science Bootcamp<\/strong><\/summary>\n  <p>The data science bootcamp curriculum is designed to provide an introduction to programming for learners of all backgrounds. It includes basic programming fundamentals and an introduction to cloud computing and data science tools.<\/p>\n  <p>All learners are required to complete the Data Science Bootcamp curriculum two weeks prior to the start of class. The bootcamp covers the introductory principles of data analysis and helps ensure that students are prepared to begin the program.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module B \u2014 DX 699 AI for Leaders<\/strong><\/summary>\n  <p>This module helps learners appreciate the impact of AI on all industries. Topics include incorporating AI into an overall business strategy, navigating ethical and regulatory considerations, explaining AI-driven decisions to stakeholders, emerging AI technologies and their potential impact, basic concepts of bias and fairness in AI, and privacy topics such as GDPR and personalization.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module C \u2014 DX 799 Data Science Capstone<\/strong><\/summary>\n  <p>The entire online Master of Data Science program is designed to provide opportunities to put knowledge into practice. Each learner will complete a semester-long data science analysis project from a range of industries or disciplines.<\/p>\n  <p>Learners will demonstrate the ability to apply a wide range of data science skills acquired throughout the program, including data analysis, modeling, programming, and data management.<\/p>\n  <p>Learners will effectively communicate project objectives, methodologies, and results to both technical and non-technical audiences. They will also develop an impactful data science project that can be showcased to potential employers or collaborators.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module 0 \u2014 DX 501 OMDS Orientation<\/strong><\/summary>\n  <p>This 0-credit module serves as an introduction to the program and familiarizes students with the learning technology, module structure, faculty support, and student success staff of the OMDS program.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module 1 \u2014 DX 601 Mathematical Foundations of Data Science<\/strong><\/summary>\n  <p>This module focuses on the mathematical foundations of data science with a dual focus on linear algebra and probability. The linear algebra component covers vectors, matrices, tensors, multiplication, inverse, determinant, trace, and norms such as L1 and L2. The probability component covers random variables, distributions, expectation, marginal and conditional probability, independence, and correlation.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module 2 \u2014 DX 602 Python Programming Toolkit<\/strong><\/summary>\n  <p>This module orients learners to programming environment setup and tools such as the filesystem, command line, and notebooks. It also reviews fundamental components of the Python programming language, including data structures, installing and importing packages, control flow, loops, and functions.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module 3 \u2014 DX 603 Machine Learning Fundamentals<\/strong><\/summary>\n  <p>This module explores essential concepts and techniques in machine learning, including linear methods such as linear regression, lasso, and ridge; tree methods such as decision trees, random forests, and boosting; and unsupervised methods such as clustering. Learners gain proficiency fitting machine learning models, understanding regularization to prevent overfitting, and using cross-validation to evaluate model performance and tune hyperparameters.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module 4 \u2014 DX 604 Data Management at Scale<\/strong><\/summary>\n  <p>This module provides a comprehensive exploration of data handling techniques, using case studies and real-world examples. It begins with basic SQL syntax and data manipulation and progresses to advanced SQL topics, including SELECT statements, filtering, sorting, aggregation, grouping, and joins. Learners gain proficiency in modifying data and working with database indexing, constraints, and views in SQL.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module 5 \u2014 DX 701 Society and AI Ethics<\/strong><\/summary>\n  <p>This module explores ethical considerations in data-driven decision-making and the deployment of algorithmic systems. It emphasizes the socially constructed nature of science and examines biases and inequalities. Learners explore the societal and cultural implications of AI and machine learning technologies, analyzing potential biases and disparities in data and algorithms.<\/p>\n  <p>Practical skills are developed through the application of fairness metrics to evaluate and mitigate bias in algorithmic decision-making. Privacy, ethical considerations surrounding personal data, and key regulatory frameworks related to AI and machine learning, such as GDPR, the California Consumer Privacy Act, and other data privacy laws, are also covered.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module 6 \u2014 DX 702 Experimental Design &amp; Causality<\/strong><\/summary>\n  <p>This module focuses on the distinction between predictive modeling and causal inference in data science. Learners gain an understanding of situations where predictive models may fall short in revealing underlying causality. Real-world examples underscore the potential pitfalls of relying on simple correlations and emphasize the need for experimentation.<\/p>\n  <p>Learners study foundational principles of causal inference, including potential outcomes and counterfactuals. The module also explores the principles and applications of A\/B testing for assessing the impact of interventions and changes. Students develop practical skills in designing and implementing basic A\/B tests, selecting appropriate metrics, and determining sample sizes.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module 7 \u2014 DX 703 Advanced Machine Learning &amp; AI<\/strong><\/summary>\n  <p>This module explores advanced machine learning techniques and introduces the foundational concept of neural networks, emphasizing their potential as universal function approximators. Learners are exposed to optimization algorithms, with a focus on practical implementation.<\/p>\n  <p>The module also introduces state-of-the-art models such as transformers and large language models, exploring their roles in natural language processing and beyond. Learners complete a mini project that applies the concepts in a hands-on way.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>Module 8 \u2014 DX 704 AI in the Field<\/strong><\/summary>\n  <p>This module explores data science challenges and opportunities in industries such as finance, health care, and e-commerce. Learners examine the unique data sources and data collection techniques relevant to their chosen sector and apply machine learning models to industry-specific needs.<\/p>\n  <p>Learners can further specialize by choosing a mini-concentration, such as finance, health care, or e-commerce. This allows them to apply techniques such as customer segmentation, churn prediction, and recommendation systems. A mini-project in the chosen sector rounds out the practical application of analytical skills gained in this module.<\/p>\n<\/details>\n\n\n<p><\/div>\n<\/div>\n\n\n\n<div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\">Deadlines<\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n\n\n\n<p>Fall 2026 Application Deadline (extended): August 12, 2026<\/p>\n\n\n<p><\/div>\n<\/div>\n\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link\" href=\"https:\/\/www.bu.edu\/cds-faculty\/programs-admissions\/online-msds\/curriculum\/\">Learn More<\/a><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group alignwide program-block program-block--career-paths program-block--type-degrees\"><div class=\"wp-block-group__inner-container\">\n<div class=\"wp-block-columns program-block--career-paths__inner\">\n<div class=\"wp-block-column program-block--career-paths__header\">\n<h2 class=\"program-block__title\"><meta charset=\"utf-8\"><strong>Build the Data Science Expertise That Powers AI<\/strong><\/h2>\n\n\n\n<p class=\"program-block__description\"><meta charset=\"utf-8\">Designed for working professionals, this fully online master&#8217;s program builds the technical depth that makes AI work. AI depends on data science. Machine learning, statistical reasoning, and model evaluation are what turn raw data into intelligent systems, and this is the discipline that makes that possible. You will learn from BU faculty and build a portfolio of skills that translate directly into impact in your field.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--career-paths__content\">\n<ul class=\"program-block--career-paths__list\"><li><strong><strong><strong>AI Programming<\/strong>: <\/strong><\/strong>Work in the language of modern AI. You will write clean, efficient code and build the systems that power real applications in machine learning and AI.<\/li><li><strong><strong><strong>Machine Learning and Predictive Modeling<\/strong>: <\/strong><\/strong>Build, train, and evaluate the models at the core of AI. You will learn both classical techniques and modern machine learning methods, and how to judge whether a model can be trusted.<\/li><li><strong><strong><strong>Large Language Models and Natural Language Processing<\/strong>: <\/strong><\/strong>Work at the frontier of applied AI. You will explore how machines interpret and generate human language, and apply those skills to real problems like conversational AI and sentiment analysis.<\/li><li><strong><strong><strong>Data Modeling and Analysis at Scale<\/strong>: <\/strong><\/strong>Turn large, complex datasets into insight. You will learn to structure, process, and draw meaning from data using the tools that support modern AI systems.<\/li><li><strong><strong><strong>Responsible and Human-Centered AI<\/strong>: <\/strong><\/strong>Learn to build AI that holds up in the real world. You will work through evaluation, transparency, governance, and the human-centered judgment that separates competent practitioners from careful ones.<\/li><li><strong><strong><strong>BU&#8217;s Interdisciplinary Approach<\/strong>: <\/strong><\/strong>You will learn alongside faculty and peers from across BU&#8217;s AI cluster, gaining perspective from different industries, professional backgrounds, and disciplines that shape how AI is applied in the real world.<\/li><\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group program-block--career-paths__footer\"><div class=\"wp-block-group__inner-container\">\n<div class=\"wp-block-columns program-block--career-paths__footer-inner\">\n<div class=\"wp-block-column program-block--career-paths__footer-header\">\n<h3 class=\"program-block--career-paths__footer-title\">Career Outcomes<\/h3>\n\n\n\n<p><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--career-paths__footer-card\">\n<h4 class=\"program-block--career-paths__footer-card-title\"><strong><strong>Machine Learning Engineer<\/strong><\/strong><\/h4>\n\n\n\n<p>Build, train, and deploy the models that power AI products, turning data into working intelligent systems.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--career-paths__footer-card\">\n<h4 class=\"program-block--career-paths__footer-card-title\"><strong>Data Scientist<\/strong><\/h4>\n\n\n\n<p>Deliver AI-enabled products. Turn complex data into insight and prediction, guiding decisions across business, healthcare, technology, and finance.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--career-paths__footer-card\">\n<h4 class=\"program-block--career-paths__footer-card-title\"><strong>AI\/ML Specialist<\/strong><\/h4>\n\n\n\n<p>Design and evaluate machine learning and language models, ensuring AI systems are accurate, fair, and reliable.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n<p><finish deleting=\"\"><\/finish><\/p>\n\n\n<div class=\"wp-block-group alignwide program-block program-block--large-promo program-block--type-degrees\"><div class=\"wp-block-group__inner-container\">\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile program-block--large-promo__inner\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" width=\"1024\" height=\"683\" src=\"\/online\/files\/2025\/05\/CDS-Online-Portraits-2147-1-1024x683.jpg\" alt=\"\" class=\"wp-image-4180 size-full\" srcset=\"https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-2147-1-1024x683.jpg 1024w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-2147-1-636x424.jpg 636w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-2147-1-768x512.jpg 768w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-2147-1-1536x1025.jpg 1536w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-2147-1-2048x1366.jpg 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h2 class=\"program-block__title program-block--large-promo__title\"><strong>AI for Leaders: Unlock the Future with Expert Insights<\/strong><\/h2>\n\n\n\n<p class=\"program-block__description program-block--large-promo__description\"><em>AI for Leaders <\/em>is an online MS in Data Science course and video library featuring industry leaders discussing AI\u2019s real-world impact. Learners gain strategic, ethical, and technical insights through live sessions and on-demand content exploring AI\u2019s role across business and society. Gain the essential technical and strategic insights needed to lead in the AI-driven future.<\/p>\n\n\n\n<div class=\"wp-block-buttons program-block__actions program-block--large-promo__actions\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link\" href=\"https:\/\/www.bu.edu\/cds-faculty\/programs-admissions\/online-msds\/ai-for-leaders-video-library\/\">Find Out More<\/a><\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group program-block program-block--requirements program-block--type-degrees\"><div class=\"wp-block-group__inner-container\">\n<div class=\"wp-block-columns program-block--requirements__inner\">\n<div class=\"wp-block-column program-block--requirements__content\">\n<div class=\"wp-block-group program-block--requirements__group\"><div class=\"wp-block-group__inner-container\">\n<h3 class=\"program-block--requirements__group-title\"><a href=\"https:\/\/www.bu.edu\/cds-faculty\/programs-admissions\/online-msds\/data-science-bu\/\"><strong>Why choose a Data Science degree?<\/strong><\/a><\/h3>\n\n\n\n<p class=\"program-block--requirements__group-text\">View CDS&#8217;s website to find out why the OMDS program is right for you<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group program-block--requirements__group\"><div class=\"wp-block-group__inner-container\">\n<h3 class=\"program-block--requirements__group-title\"><a href=\"https:\/\/www.bu.edu\/cds-faculty\/programs-admissions\/online-msds\/application\/\"><strong>Application Requirements<\/strong><\/a><\/h3>\n\n\n\n<p class=\"program-block--requirements__group-text\">Learn about application requirements for the Online Master of Data Science from CDS.<\/p>\n<\/div><\/div>\n\n\n\n<p><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--requirements__media\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"766\" height=\"806\" src=\"\/online\/files\/2025\/05\/On-Air-Pic.png\" alt=\"\" class=\"wp-image-3396\" srcset=\"https:\/\/www.bu.edu\/online\/files\/2025\/05\/On-Air-Pic.png 766w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/On-Air-Pic-604x636.png 604w\" sizes=\"(max-width: 766px) 100vw, 766px\" \/><\/figure>\n\n\n\n<p><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-media-text alignwide has-media-on-the-right is-stacked-on-mobile program-block--large-promo__inner\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" width=\"1024\" height=\"683\" src=\"\/online\/files\/2025\/05\/CDS-Online-Portraits-2805-1-1-1-1024x683.jpg\" alt=\"\" class=\"wp-image-4476 size-full\" srcset=\"https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-2805-1-1-1-1024x683.jpg 1024w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-2805-1-1-1-636x424.jpg 636w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-2805-1-1-1-768x512.jpg 768w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-2805-1-1-1-1536x1025.jpg 1536w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-2805-1-1-1-2048x1366.jpg 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h2 class=\"program-block__title program-block--large-promo__title\"><strong><strong>Seize the Future of AI and Data Science with BU&#8217;s OMDS Program<\/strong><\/strong><\/h2>\n\n\n\n<p class=\"program-block__description program-block--large-promo__description\">Azer Bestavros, Associate Provost for the Faculty of Computing &amp; Data Sciences, discusses how Boston University\u2019s OMDS empowers graduates to harness AI&#8217;s transformative potential. With a focus on cutting-edge techniques and ethical considerations, this program equips you to leverage AI to advance your career and drive innovation in your organization, all while navigating the complex challenges of responsible technology deployment. Prepare to lead the AI revolution, with ethics at the forefront.<\/p>\n\n\n\n<div class=\"wp-block-buttons program-block__actions program-block--large-promo__actions\">\n<div class=\"wp-block-button program-block__button program-block--large-promo__button\"><a class=\"wp-block-button__link\" href=\"https:\/\/www.bu.edu\/cds-faculty\/2024\/07\/16\/in-bus-online-masters-program-students-learn-how-data-science-makes-ai-happen\/\">Learn More<\/a><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group alignwide program-block program-block--featured-faculty program-block--type-programs\"><div class=\"wp-block-group__inner-container\">\n<h2 class=\"has-text-align-left program-block__title\">OMDS Faculty + Support Team<\/h2>\n\n\n\n<p class=\"has-text-align-left program-block__description\"><\/p>\n\n\n\n<div class=\"wp-block-group program-block--featured-faculty__inner\"><div class=\"wp-block-group__inner-container\">\n<div class=\"wp-block-columns program-block--featured-faculty__list\">\n<div class=\"wp-block-column program-block--featured-faculty__faculty\">\n<h3 class=\"has-text-align-left program-block--featured-faculty__faculty-name\"><a href=\"https:\/\/www.bu.edu\/cds-faculty\/2024\/09\/23\/omdss-new-ai-for-leaders-series-spotlights-practitioners-in-the-field\/\">Giorgos Zervas<\/a><\/h3>\n\n\n\n<p><strong><strong>Director of Online Programs <\/strong><\/strong><br><strong><strong>Professor<\/strong><br><\/strong>Faculty of Computing and Data Science<\/p>\n\n\n\n<figure class=\"wp-block-image size-large program-block--featured-faculty__faculty-image\"><img loading=\"lazy\" width=\"683\" height=\"1024\" src=\"\/online\/files\/2025\/05\/CDS-Online-Portraits-0792-683x1024.jpg\" alt=\"\" class=\"wp-image-4201\" srcset=\"https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-0792-683x1024.jpg 683w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-0792-424x636.jpg 424w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-0792-768x1151.jpg 768w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-0792-1025x1536.jpg 1025w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-0792-1366x2048.jpg 1366w\" sizes=\"(max-width: 683px) 100vw, 683px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--featured-faculty__faculty\">\n<h3 class=\"has-text-align-left program-block--featured-faculty__faculty-name\"><a href=\"https:\/\/www.bu.edu\/cds-faculty\/stories\/meet-the-faculty-considine\/\">Jeffrey Considine<\/a><\/h3>\n\n\n\n<p><strong>Professor,<\/strong><br>Faculty of Computing and Data Science<\/p>\n\n\n\n<figure class=\"wp-block-image size-large program-block--featured-faculty__faculty-image\"><img loading=\"lazy\" width=\"1024\" height=\"683\" src=\"\/online\/files\/2025\/05\/CDS-Online-Portraits-1245-1-1-1024x683.jpg\" alt=\"\" class=\"wp-image-4204\" srcset=\"https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-1245-1-1-1024x683.jpg 1024w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-1245-1-1-636x424.jpg 636w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-1245-1-1-768x512.jpg 768w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-1245-1-1-1536x1025.jpg 1536w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/CDS-Online-Portraits-1245-1-1-2048x1366.jpg 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--featured-faculty__faculty\">\n<h3 class=\"has-text-align-left program-block--featured-faculty__faculty-name\"><a href=\"https:\/\/www.bu.edu\/cds-faculty\/stories\/seth-villegas\/\">Seth Villegas<\/a><\/h3>\n\n\n\n<p class=\"has-text-align-left program-block--featured-faculty__faculty-role\"><strong>Professor<\/strong>,<br>Faculty of Computing and Data Science<\/p>\n\n\n\n<figure class=\"wp-block-image size-large program-block--featured-faculty__faculty-image\"><img loading=\"lazy\" width=\"1024\" height=\"576\" src=\"\/online\/files\/2025\/05\/Untitled-design-12-1024x576.jpg\" alt=\"\" class=\"wp-image-4480\" srcset=\"https:\/\/www.bu.edu\/online\/files\/2025\/05\/Untitled-design-12-1024x576.jpg 1024w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/Untitled-design-12-636x358.jpg 636w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/Untitled-design-12-768x432.jpg 768w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/Untitled-design-12-1536x864.jpg 1536w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/Untitled-design-12-1200x675.jpg 1200w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/Untitled-design-12-992x558.jpg 992w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/Untitled-design-12-1500x844.jpg 1500w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/Untitled-design-12.jpg 1600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--featured-faculty__faculty\">\n<h3 class=\"has-text-align-left program-block--featured-faculty__faculty-name\"><a href=\"https:\/\/www.bu.edu\/cds-faculty\/profile\/annie-imperato\/\">Annie Imperato<\/a><\/h3>\n\n\n\n<p><strong><strong>Student Support Specialist<\/strong>,<br><\/strong>Faculty of Computing and Data Science<\/p>\n\n\n\n<figure class=\"wp-block-image size-large program-block--featured-faculty__faculty-image\"><img loading=\"lazy\" width=\"914\" height=\"1024\" src=\"\/online\/files\/2025\/05\/Annie-Imperato-Headshot-e1723729136594-914x1024-1.jpg\" alt=\"\" class=\"wp-image-4203\" srcset=\"https:\/\/www.bu.edu\/online\/files\/2025\/05\/Annie-Imperato-Headshot-e1723729136594-914x1024-1.jpg 914w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/Annie-Imperato-Headshot-e1723729136594-914x1024-1-568x636.jpg 568w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/Annie-Imperato-Headshot-e1723729136594-914x1024-1-768x860.jpg 768w\" sizes=\"(max-width: 914px) 100vw, 914px\" \/><\/figure>\n\n\n\n<p><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n<div class=\"faq-accordion\">\n<h2>Frequently Asked Questions<\/h2>\n<details>\n<summary>Is a master&#8217;s in data science still worth it in the age of AI?<\/summary>\n<p>\n      Yes. AI has made data science expertise more valuable, not less, because every AI system depends on it: preparing data, building and training models, and evaluating whether results can be trusted. The U.S. Bureau of Labor Statistics projects 34 percent growth for data scientists through 2034, among the fastest of any occupation. BU&#8217;s online MS in Data Science builds that expertise in a 30-credit program with total tuition of $25,000.\n    <\/p>\n<\/details>\n<details>\n<summary>Will AI replace data scientists?<\/summary>\n<p>\n      AI is changing what data scientists do, not eliminating the need for them. Someone has to build the models, prepare the data they learn from, and evaluate whether their outputs are accurate, fair, and safe. Those are data science skills. The Bureau of Labor Statistics projects 34 percent job growth for data scientists through 2034. The strongest position in an AI-driven market is understanding how these systems actually work.\n    <\/p>\n<\/details>\n<details>\n<summary>Is data science oversaturated?<\/summary>\n<p>\n      Not for practitioners with real depth. The Bureau of Labor Statistics projects 34 percent growth for data scientists through 2034, far above the average across occupations. Where the market is crowded is at the surface, among people who only use finished AI tools. Professionals who can take a model from data preparation through evaluation and deployment are a different category, and building that depth is what this degree is for.\n    <\/p>\n<\/details>\n<details>\n<summary>What is the difference between a data science degree and an AI degree?<\/summary>\n<p>\n      Data science is the discipline that turns data into intelligence, and AI is one of its most powerful applications. A data science degree teaches you to build: statistics, machine learning, model evaluation, and the engineering that makes AI systems work. Many AI degrees focus instead on applying or leading AI within a business. If your goal is to create and evaluate the models behind AI, data science is the deeper technical path.\n    <\/p>\n<\/details>\n<details>\n<summary>Does the online MS in Data Science cover AI and machine learning?<\/summary>\n<p>\n      Yes. AI concepts and applications are integrated throughout the curriculum, from statistical modeling and machine learning to large language models and emerging AI techniques. Coursework includes AI programming in Python, predictive modeling, natural language processing, and analysis of data at scale. The AI for Leaders series adds practitioner perspectives on how AI is used in the field, including its responsible and human-centered use.\n    <\/p>\n<\/details>\n<details>\n<summary>How much does the online MS in Data Science cost?<\/summary>\n<p>\n      Total tuition is $25,000 for the complete 30-credit program. Many students reduce their cost further through employer tuition benefits. BU Virtual&#8217;s employer tuition benefit guide explains how to ask, and the ROI calculator can help you estimate the return on your investment.\n    <\/p>\n<\/details>\n<details>\n<summary>What can you do with a master&#8217;s in data science?<\/summary>\n<p>\n      Graduates are prepared for roles across data science, machine learning, and AI in fields such as business, healthcare, technology, and finance. The program builds a professional portfolio through hands-on projects and a capstone, so you finish with work you can show employers, not just a transcript. The Bureau of Labor Statistics projects 34 percent growth for data scientists through 2034.\n    <\/p>\n<\/details>\n<details>\n<summary>Do I need a computer science background to apply?<\/summary>\n<p>\n      You do not need to be a software engineer to succeed in this program. The 11 modules are taken in sequence, each building on the last, and programming for AI in Python is taught within the curriculum. Comfort with quantitative work will help. For specific admission requirements, see the<br>\n      <a href=\"https:\/\/www.bu.edu\/cds-faculty\/programs-admissions\/online-msds\/\"><br>\n        application requirements<br>\n      <\/a><br>\n      from BU&#8217;s Faculty of Computing and Data Sciences.\n    <\/p>\n<\/details>\n<details>\n<summary>How long does it take to earn the online MS in Data Science?<\/summary>\n<p>\n      The program is 30 credit hours across 11 modules and can be completed in as little as 16 months, with a typical range of 16 to 24 months. Modules are taken in order, each building on the previous one, through a mix of weekly live sessions and coursework you complete on your own schedule.\n    <\/p>\n<\/details>\n<details>\n<summary>Will my diploma say the degree was earned online?<\/summary>\n<p>\n      No. At Boston University, the degree is not differentiated by whether you study online or on campus. Your diploma will not state that it was earned online, and you receive the same Boston University credential as on-campus graduates. Individual coursework may appear on the transcript, but the degree itself is identical.\n    <\/p>\n<\/details>\n<details>\n<summary>Do I need to quit my job to earn this degree?<\/summary>\n<p>\n      No. The program is designed for working professionals. It is delivered 100% online with weekly live sessions, plus coursework you complete on your own schedule, so most students continue to work full-time while they study.\n    <\/p>\n<\/details>\n<details>\n<summary>Is the online degree the same as Boston University&#8217;s on-campus degree?<\/summary>\n<p>\n      Yes. BU&#8217;s online programs are taught by the same faculty and held to the same academic standards as its on-campus programs, and they award the same Boston University credential.\n    <\/p>\n<\/details>\n<details>\n<summary>What is Boston University&#8217;s ranking?<\/summary>\n<p>\n      Boston University is ranked among the top 50 national universities by U.S. News &amp; World Report in its 2026 Best Colleges rankings, where BU is listed at #42 among National Universities.\n    <\/p>\n<\/details>\n<\/div>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Degree Details Boston University&#8217;s online MS in Data Science prepares you to build the data science behind AI. Designed for professionals who want to turn data into insight and intelligent action, the program delivers hands-on training across statistics, machine learning, AI programming in Python, and large language models. You will develop the technical depth to [&hellip;]<\/p>\n","protected":false},"author":23559,"featured_media":4210,"parent":4302,"menu_order":1,"template":"","meta":{"_editor_template":""},"bu_progs_page-type":[6],"bu_progs_degree-option":[76],"bu_progs_schools-colleges":[135],"bu_progs_education-level":[108],"bu_progs_area-of-study":[163,118],"bu_progs_area-of-interest":[],"bu_progs_department-affiliation":[],"bu_progs_format":[111],"bu_progs_availability":[114,115],"bu_progs_location":[117],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu-program-page\/3390"}],"collection":[{"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu-program-page"}],"about":[{"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/types\/bu-program-page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/users\/23559"}],"version-history":[{"count":31,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu-program-page\/3390\/revisions"}],"predecessor-version":[{"id":9521,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu-program-page\/3390\/revisions\/9521"}],"up":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu-program-page\/4302"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/media\/4210"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/media?parent=3390"}],"wp:term":[{"taxonomy":"bu_progs_page-type","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_page-type?post=3390"},{"taxonomy":"bu_progs_degree-option","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_degree-option?post=3390"},{"taxonomy":"bu_progs_schools-colleges","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_schools-colleges?post=3390"},{"taxonomy":"bu_progs_education-level","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_education-level?post=3390"},{"taxonomy":"bu_progs_area-of-study","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_area-of-study?post=3390"},{"taxonomy":"bu_progs_area-of-interest","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_area-of-interest?post=3390"},{"taxonomy":"bu_progs_department-affiliation","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_department-affiliation?post=3390"},{"taxonomy":"bu_progs_format","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_format?post=3390"},{"taxonomy":"bu_progs_availability","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_availability?post=3390"},{"taxonomy":"bu_progs_location","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_location?post=3390"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}