Bachelor's Data Analytics Programs in Massachusetts
Smith College — Northampton, MA
Hakia Insight: Smith's explicit emphasis on reproducible scientific computing and ethical practice distinguishes it from technically-focused competitors; this framing attracts students who want analytics skills but reject the posture of treating data as purely extractive.
At the bachelor's level, the program offers hands-on experience with modern data science tools including Python, R, and SQL, while emphasizing ethical practices and reproducible scientific computing. Students learn practical skills like web scraping, data visualization, and spatial analysis through real-world applications.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Location Advantages:
Bridgewater State University — Bridgewater, MA
Key Distinction: BSU's Data Analytics program combines undergraduate certificate accessibility with graduate-level MS Computer Science opportunities that include data science specialization, all supported by ABET accreditation and small class sizes for personalized attention.
Hakia Insight: Bridgewater State's stacked pathway—certificate to BS to specialized MS in Computer Science—creates rare continuity for students discovering their interest mid-degree; the pharma cluster of employers (Moderna, Boston Scientific, Thermo Fisher) then actively recruits from this pipeline.
At the bachelor's level, bridgewater State University offers a Data Analytics Undergraduate Certificate program designed to provide students with foundational skills in data analysis and interpretation. The program is part of BSU's commitment to preparing students for the growing field of data science and analytics. The university also offers a Master of Science in Computer Science program that includes advanced work in data science and AI, providing opportunities for collaborative work with faculty and culminating in capstone projects or thesis work. The Computer Science Department is ABET accredited and consists of 8 full-time faculty members who work in a collaborative environment focused on high-quality instruction in small classes. Students benefit from modern labs equipped with current technology in the Dana Mohler-Faria Science and Mathematics Center. The programs emphasize both theoretical foundations and practical applications, preparing graduates for careers in business, industry, and government, or for further doctoral study.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Dana Mohler-Faria Science and Mathematics Center
- Center for the Advancement of STEM Education (CASE)
- Watershed Access Lab
- Cyber Range
Industry Partners
- Moderna (employer)
- Boston Scientific (employer)
- Thermo Fisher Scientific (employer)
- Dana-Farber Cancer Institute (employer)
- Marine Biological Laboratory (partner)
- Skillsoft (employer)
- DraftKings (employer)
- Formlabs (employer)
- HubSpot (employer)
- Wayfair (employer)
- KMBO Diagnostics (employer)
- Partners HealthCare (employer)
- Mass General Hospital (employer)
- Boston University (employer)
- National Institute of Health (employer)
Career Outcomes
Median Salary: $NaN. Top Employers: Moderna, Boston Scientific, Thermo Fisher Scientific, Dana-Farber Cancer Institute, HubSpot, Wayfair.
Notable Faculty
- Dr. Haleh Khojasteh — Computer Science - Graduate Program Coordinator
- Dr. Kenneth Adams — Molecular and cell biology
Accreditations and Certifications
Location Advantages: Located in Southeastern MassachusettsModern Dana Mohler-Faria Science and Mathematics Center with equipped labs
Northeastern University — Boston, MA
Key Distinction: Real-world, hands-on learning projects with industry relevance. Faculty experts with extensive real-world industry experience
Hakia Insight: Northeastern's multi-city co-op model gives analytics students something CS majors have long claimed: the chance to test-drive careers in Boston's finance sector, Silicon Valley's tech firms, or Seattle's cloud companies, all within a single degree.
Northeastern's Bachelor of Science in Analytics prepares students for high-demand careers in data-driven fields including marketing, finance, management, and healthcare. The program emphasizes hands-on, real-world learning projects that develop competencies in data fetching, statistical analysis using R and Python, and data visualization. Students learn from faculty experts with extensive industry experience and benefit from Northeastern's extensive employer network. The curriculum focuses on argumentation, reasoning, analytical thinking, and transforming data into actionable insights for strategic decision-making. An optional Applied AI Concentration is available, equipping students with advanced skills in machine learning, predictive modeling, and decision intelligence through co-op opportunities and experiential learning. Graduates pursue roles as Data Scientists ($108,020 avg. entry salary), Data Engineers ($119,040), Business Intelligence Analysts ($80,249), and Machine Learning Engineers ($141,000), with job growth rates ranging from 21-74% across these fields. The program is STEM-designated and offered in on-campus (Boston), hybrid, and fully online formats.
Programs Offered
- Bachelor of Science in Analytics — 4 years, on-campus. BS
Research Labs and Institutes
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Mirek Riedewald — Data management and scalable algorithms
- Wolfgang Gatterbauer — Data management and analysis
- Renée J. Miller — Data management and integration
Accreditations and Certifications
Location Advantages: Multiple campus locations including Boston, Seattle, Vancouver, Portland, Silicon Valley, Oakland
Harvard University — Cambridge, MA
Key Distinction: Harvard's data science programs uniquely combine world-class Computer Science and Statistics faculties with cross-campus collaboration through the Harvard Data Science Initiative, offering both general data science training and specialized health data science applications.
Hakia Insight: Harvard's Data Science Initiative pools faculty across Computer Science and Statistics rather than siloing them—undergraduates access methods that most schools reserve for doctoral programs, while the Sports Analytics Lab offers a rare applied outlet for undergraduate research.
At the bachelor's level, harvard University offers multiple comprehensive data science programs designed to meet the growing demand for data-driven professionals. The flagship Master of Science in Data Science, jointly led by Computer Science and Statistics faculties, provides rigorous training in statistical modeling, machine learning, optimization, and analysis of massive datasets. Students complete 12 courses over at least 3 semesters, focusing on reproducible data analysis, collaborative problem solving, visualization, and ethical considerations in data science. Harvard also offers specialized programs including a Master of Science in Health Data Science through the T.H. Chan School of Public Health, which emphasizes quantitative methods for health-related applications. The programs leverage Harvard's Data Science Initiative (HDSI), a cross-campus effort developing cutting-edge data science methods. Students gain expertise in Python, R, statistical inference, machine learning, and big data analytics while preparing for diverse career paths including data scientist, data analyst, and analytics-enabled business roles.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Harvard Data Science Initiative (HDSI)
- Sports Analytics Lab
Location Advantages: Access to Boston's thriving tech ecosystemCross-campus collaboration opportunities
Amherst College — Amherst, MA
Key Distinction: Amherst's Data Science Initiative uniquely positions data science as a liberal art, integrating humanistic perspectives with technical skills to address complex societal challenges including climate change, health, and systematic inequality.
Hakia Insight: Amherst's framing of data science as a liberal art, not a technical trade, attracts students who want to interrogate *why* data decisions matter as much as *how* to execute them—a philosophical positioning that becomes invaluable when graduates move into policy, nonprofit, or social impact roles.
At the bachelor's level, amherst College's Data Science program is an interdisciplinary initiative that integrates computer science, statistics, and liberal arts to address societal challenges through data analysis. The program emphasizes that 'making sense of the data that surround us is inherently a liberal art,' combining humanistic and scientific approaches to understanding our data-infused world. Students can pursue data science through computer science and statistics majors, with courses spanning multiple disciplines including astronomy, biology, economics, and political science. The program features strong faculty research in algorithm design, big data, artificial intelligence, and machine learning, with opportunities for undergraduate research through the SURF program and study abroad experiences.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Notable Faculty
- Matteo Riondato — Data science and algorithm design
- Scott P. Alfeld — Computer security and machine learning
- Nicholas Horton — Statistics
- Lee Spector — Machine learning and evolutionary computation
Location Advantages: Liberal arts environment promoting interdisciplinary collaborationSmall class sizes with close faculty-student relationships
Worcester Polytechnic Institute — Worcester, MA
Key Distinction: WPI offers one of the first PhD in Data Science programs in the nation and has been pioneering data science education for over 10 years, ranking as a Top 6 U.S. college for Master's in Data Science programs with unique project-based learning through industry partnerships.
Hakia Insight: WPI's decade-plus pioneering of data science education and top-6 master's ranking reflect institutional commitment that creates virtuous cycles: advanced research from the DAISY Lab feeds into undergraduate projects, while relationships with Fidelity and IBM ensure capstones solve real problems.
At the bachelor's level, worcester Polytechnic Institute's Data Analytics program is a pioneering, interdisciplinary initiative offering multiple degree pathways including MS in Data Science (10+ years established), MBA in Analytics, and PhD in Data Science. The program emphasizes project-based learning with 500+ students completing 100+ real-world industry projects through Graduate Qualifying Projects (GQP). Students gain expertise in cutting-edge technologies including deep learning, machine learning, MLOPs, big data, reinforcement learning, generative AI, and natural language processing using industry-leading tools like PyTorch, MySQL, Python, MATLAB, Tableau, and Apache Spark. The STEM-designated programs provide extended OPT benefits for international students and feature strong industry partnerships, world-class faculty, and exceptional career outcomes with data scientist roles averaging $122,539 salary and 36% job growth projected through 2033.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- DAISY Research Group - DAta-Driven Intelligent SYstems Lab
- CEDAR Center
Industry Partners
- Fidelity Investments (corporate)
- HP (corporate)
- IBM (corporate)
- NSF (government)
- NIH (government)
- DARPA (government)
- MIT Lincoln Labs (government)
Career Outcomes
Median Salary: $122,539. Top Employers: Fidelity Investments.
Notable Faculty
- Elke A. Rundensteiner — Data Science, Big Data, Machine Learning
Admissions
Acceptance Rate: Not specified%. GPA Requirement: Not specified. Application Deadline: Rolling admissions.
Requirements: Bridge courses available for non-technical backgrounds
Accreditations and Certifications
Location Advantages:
Mount Holyoke College — South Hadley, MA
Key Distinction: This program uniquely combines technical data skills with explicit focus on social and historical context, emphasizing critical literacies and ethical decision-making rather than purely technical competencies.
Hakia Insight: Mount Holyoke's deliberate pairing of data analytics with explicit social and historical context—via faculty like Eleanor Townsley—produces graduates who can challenge flawed datasets and biased assumptions, an increasingly marketable skill as companies hire for responsible AI roles.
At the bachelor's level, mount Holyoke College's Data Analytics and Society program is a distinctive Nexus that emphasizes social and historical context in data analysis, focusing on critical literacies for ethical decision-making. This interdisciplinary program requires 18 credits including four core courses: statistics (200+ level), computer science (200+ level), an application area course, and an elective, plus a substantive internship and reflection course. Students must complete at least one 300-level capstone course and work intimately with data to explore, visualize, contextualize, and present conclusions. The program culminates in a presentation at the LEAP Symposium and enhances various majors by adding social research concentration skills.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Craig Woodard's Drosophila Research Lab
- Patricia Brennan's Biological Sciences Research Lab
Notable Faculty
- Eleanor Townsley — Sociology and Data Analytics
- Dylan Shepardson — Mathematics
- Margaret Robinson — Mathematics
- Jennifer Paulhus — Mathematics
Location Advantages: Five College consortium accessLiberal arts college environment with research opportunities
Massachusetts Institute of Technology — Cambridge, MA
Key Distinction: MIT's data analytics program uniquely combines theoretical foundations with practical applications across manufacturing, infrastructure, and IoT systems, backed by world-leading faculty and breakthrough research published in top journals like Nature and Science.
Hakia Insight: MIT's infrastructure and manufacturing focus (LISS, Braatz Group) creates an unusual advantage: students graduate with domain expertise in IoT and industrial data that most analytics programs ignore, making them immediately valuable to McKinsey and pharma clients wrestling with sensor-scale problems.
At the bachelor's level, MIT offers the largest computing majors at the institute with multiple specialized tracks including AI, data science, and interdisciplinary programs that combine computing with biology, economics, and urban planning. The programs are led by world-class faculty and provide rigorous, hands-on curriculum preparing students for careers in both public and private sectors.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Laboratory for Infrastructure Science and Sustainability (LISS)
- Braatz Group
- MIT Auto-ID Laboratory
- Computer Science and Artificial Intelligence Laboratory (CSAIL)
Industry Partners
- Shell (collaborator)
- Chromatan (partner)
- Takeda (partner)
- Novartis Basel (employer)
- McKinsey & Company (employer)
- IBM Innovation Center (employer)
- Biogen (collaborator)
- Toyota Research Institute (TRI) (sponsor)
- Gates Foundation (sponsor)
- FDA (sponsor)
Career Outcomes
Top Employers: McKinsey & Company, IBM Innovation Center, Novartis Basel, Academic institutions.
Notable Faculty
- Dr. Oral Buyukozturk — Infrastructure sensing and vision-based monitoring through data analytics and AI
- Dr. Richard D. Braatz — Applied mathematics and control theory for manufacturing data analytics
- Dr. Shoumen Palit Austin Datta — RFID, IoT, and predictive data analytics
Location Advantages: Access to Harvard Medical School collaborationsProximity to biotechnology and pharmaceutical industry in Cambridge/Boston areaIntegration with MIT's broader engineering and technology ecosystem
Williams College — Williamstown, MA
Key Distinction: Williams College offers comprehensive Data Analytics programs preparing students for careers in technology.
Hakia Insight: Williams College's data analytics offering, while not extensively detailed, fits the liberal arts model where analytics becomes a complementary quantitative skill for students across majors rather than a standalone technical degree.
Williams College offers Data Analytics programs in Williamstown, MA. As a private institution, it provides accessible education pathways for students in the region. Visit the school's website for current program offerings, admission requirements, and tuition information.
Northeastern University Professional Programs — Boston, MA
Hakia Insight: Northeastern's co-op model embedded in its bachelor's program means students alternate between classroom and paid industry rotations—a structure that transforms analytics theory into portfolio-ready projects before graduation, rather than leaving hands-on application to internships.
At the bachelor's level, the Master of Professional Studies in Analytics provides end-to-end analytics education through integrated experiential learning opportunities defined by experienced scholar-practitioners from across the analytics industry. Students graduate with a portfolio of real-world project work samples and access to practitioners and companies through networking opportunities, guest speakers, and hands-on project work.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Location Advantages:
Master's Data Analytics Programs in Massachusetts
Massachusetts Institute of Technology — Cambridge, MA
Key Distinction: MIT's data analytics program uniquely combines theoretical foundations with practical applications across manufacturing, infrastructure, and IoT systems, backed by world-leading faculty and breakthrough research published in top journals like Nature and Science.
Hakia Insight: MIT's Braatz Group and LISS labs give master's students direct access to manufacturing and infrastructure datasets that few programs can match; papers co-authored by students appear in Nature and Science, making thesis work genuinely publishable rather than merely pedagogical.
At the master's level, MIT offers the largest computing majors at the institute with multiple specialized tracks including AI, data science, and interdisciplinary programs that combine computing with biology, economics, and urban planning. The programs are led by world-class faculty and provide rigorous, hands-on curriculum preparing students for careers in both public and private sectors.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Laboratory for Infrastructure Science and Sustainability (LISS)
- Braatz Group
- MIT Auto-ID Laboratory
- Computer Science and Artificial Intelligence Laboratory (CSAIL)
Industry Partners
- Shell (collaborator)
- Chromatan (partner)
- Takeda (partner)
- Novartis Basel (employer)
- McKinsey & Company (employer)
- IBM Innovation Center (employer)
- Biogen (collaborator)
- Toyota Research Institute (TRI) (sponsor)
- Gates Foundation (sponsor)
- FDA (sponsor)
Career Outcomes
Top Employers: McKinsey & Company, IBM Innovation Center, Novartis Basel, Academic institutions.
Notable Faculty
- Dr. Oral Buyukozturk — Infrastructure sensing and vision-based monitoring through data analytics and AI
- Dr. Richard D. Braatz — Applied mathematics and control theory for manufacturing data analytics
- Dr. Shoumen Palit Austin Datta — RFID, IoT, and predictive data analytics
Location Advantages: Access to Harvard Medical School collaborationsProximity to biotechnology and pharmaceutical industry in Cambridge/Boston areaIntegration with MIT's broader engineering and technology ecosystem
Northeastern University Professional Programs — Boston, MA
Hakia Insight: Northeastern's network spans 7+ cities (Boston to Silicon Valley), enabling students to complete their 12–18 month degree while staying embedded in their current job market or pivoting to a new one without relocating.
At the master's level, the Master of Professional Studies in Analytics provides end-to-end analytics education through integrated experiential learning opportunities defined by experienced scholar-practitioners from across the analytics industry. Students graduate with a portfolio of real-world project work samples and access to practitioners and companies through networking opportunities, guest speakers, and hands-on project work.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Location Advantages:
Brandeis University — Waltham, MA
Key Distinction: Part-time option: complete in 2–3 years taking 4–5 courses/year; courses held throughout the day for flexible scheduling. 100% online option available (17–20 months, part-time format)
Hakia Insight: Brandeis's partnership with Boston Medical Center gives part-time students real healthcare datasets and operational problems to solve during coursework—a rare advantage for those seeking to specialize in healthcare analytics without pausing their careers.
The Brandeis Master of Science in Business Analytics (MSBA) is a rigorous 12- or 16-month STEM-designated program designed for working professionals seeking career advancement in data-driven roles. The program offers flexible delivery options: full-time on-campus, part-time on-campus (2–3 years, 8 credits/semester throughout the day), and 100% online (17–20 months). Students complete 41 credits including 21 core credits in statistical programming, data visualization, and econometric methods, with a required capstone through internship, field project, or faculty-directed research. Four specialized concentrations—Artificial Intelligence, Sports Analytics, Healthcare Analytics, and Marketing Analytics—allow students to tailor their focus. The program provides 100% scholarship consideration for admitted students. Career outcomes are strong: graduates achieve an average U.S. salary of $80,760 with bonuses (up to $135,000 depending on industry), and 90% secure employment or launch ventures within six months. STEM designation enables international students to extend post-graduate practical training to 36 months total. All students participate in internships or field projects, directly connecting classroom learning to industry applications.
Programs Offered
- Master of Science in Business Analytics (MSBA) — 1-2 years, on-campus. MS
Research Labs and Institutes
- Brandeis Visual Analytics Laboratory
- Core Machine Learning Lab
- Smart and Scalable Data Systems Lab
- Multilingual Language Processing Lab
- Brandeis Autonomous Robotics Teaching Laboratory
- Computational Systems Biology Group
- Dynamical & Evolutionary Machine Organization Lab
- Brandeis Laboratory for Linguistics and Computation
Industry Partners
- Boston Medical Center (employer)
- Mather Economics LLC (employer)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Arnold Kamis — Data analytics, information technology, decision support, online consumer behavior, healthcare information
- Dr. Anna Shebanow — Strategic analytics and foundations of data science
- Daniel Flanagan — Health informatics
Admissions
GPA Requirement: 3.3 average.
Requirements: Complete 21 core credits in statistical programming, data visualization, and econometric methods, Required capstone through company internship, field project, or faculty-directed research, Completion of concentration electives (on-campus students), 41 total credits
Accreditations and Certifications
Location Advantages:
Clark University — Worcester, MA
Key Distinction: Part-time and full-time enrollment options with flexible online and on-campus formats. Designed for working professionals with busy schedules
Hakia Insight: Clark's Center for Geospatial Analytics and Agricultural Impacts Research Group position it unusually well for students pursuing sustainability or climate-focused analytics roles, filling a niche most peer programs ignore.
Clark University's Master of Science in Data Analytics is a flexible, practitioner-focused program designed for working professionals seeking to advance their careers in data-driven industries. The 10-course program (8 core + 2 electives) can be completed part-time online or on-campus in as little as two years full-time, with January and September start dates. The curriculum emphasizes Python programming, advanced statistical analysis, data mining, and data warehousing, taught by instructor-practitioners who bring real-world industry expertise into the classroom. Students complete a capstone project applying analytics to real-world business challenges. The program develops both technical and soft skills, including data storytelling and system architecture. Average starting salaries are approximately $92,000 (per PricewaterhouseCoopers), with 33% projected job growth through 2026. STEM-designated graduates may qualify for up to 36 months of Optional Practical Training (OPT) for international students. Clark's longstanding partnerships with local and regional organizations provide internship and employment opportunities across financial services, healthcare, and retail sectors.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus. MS
Research Labs and Institutes
- Clark Center for Geospatial Analytics
- Agricultural Impacts Research Group
- Biogeosciences Research Group
- Earth Observation and Remote Sensing Lab
- Landscape Monitoring Research Group
- Forest Ecology Lab
- Polar Science Research Lab
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Professor Jing Zhang — Business Data Analytics
- Professor Ken Basye — Business Data Analytics
- Lyndon Estes — Agricultural impacts and geospatial analytics
- Christopher A. Williams — Climate impacts of forest change and biogeosciences
- John Rogan — Landscape monitoring and remote sensing
Location Advantages: Close collaboration with local and regional organizationsAccess to Massachusetts Life Sciences research opportunities
Northeastern University — Boston, MA
Key Distinction: Part-time and full-time enrollment options (12–18 month completion). Flexible delivery: on-campus, online, and hybrid formats across 7+ locations
Hakia Insight: Northeastern's DATA Lab faculty (Riedewald and Gatterbauer) focus explicitly on scalability and data quality—the unsexy but career-critical foundation that enables graduates to solve billion-row problems that bootcamp graduates cannot.
The Master of Professional Studies in Analytics (MPS) is designed for working professionals seeking to advance their careers through data-driven decision-making skills. The 12–18 month program offers flexible part-time and full-time formats across multiple campuses and online, making it accessible to employed professionals. The curriculum covers statistics, analytics systems technology, business intelligence, advanced analytics, leadership, and data governance. A key differentiator is the industry capstone project completed within a sponsoring organization, allowing students to apply analytics to real business challenges. Graduates build portfolios of real-world projects with 3,500+ partner companies including Amazon, Salesforce, Microsoft, and Google. The program is STEM-designated, and students can earn an embedded graduate certificate in analytics en route to the master's degree. With tuition at $54,315, this represents a strong investment for mid-career professionals; employer tuition partnerships and financial aid options are available to offset costs.
Programs Offered
- Master of Professional Studies in Analytics — 1-2 years, on-campus. MPS
Research Labs and Institutes
Career Outcomes
Top Employers: Amazon, Salesforce, Microsoft, Google.
Notable Faculty
- Mirek Riedewald — Data management and scalable algorithms
- Wolfgang Gatterbauer — Data management and analysis
- Renée J. Miller — Data management and integration
Accreditations and Certifications
Location Advantages: Multiple campus locations including Boston, Seattle, Vancouver, Portland, Silicon Valley, Oakland
Boston University — Boston, MA
Key Distinction: BU MET's Applied Data Analytics program uniquely combines rigorous academic training with hands-on experience using state-of-the-art tools and packages, while offering specialized concentrations in AI & Machine Learning and Data Engineering. The program is STEM-designated and requires no GRE/GMAT for admission.
Hakia Insight: BU MET's no-GRE/GMAT admissions policy combined with its $100,400 median salary outcome reveals a deliberate bet on work experience over test scores—a transparency that attracts mid-career professionals skeptical of gatekeeping.
At the master's level, boston University's Master of Science in Applied Data Analytics (MSADA) at Metropolitan College is a comprehensive 32-40 unit program that provides hands-on experience with various database systems, data mining tools, data visualization packages, Python, R, and cloud services. The program offers two optional concentrations: AI & Machine Learning and Data Engineering. Available both online and on campus with flexible full-time or part-time study options, the STEM-designated program can be completed in 8-20 months. Students gain practical experience through real-world projects and case studies while learning advanced data mining and machine learning approaches. The curriculum emphasizes both theoretical foundations and practical applications, preparing graduates for critical roles in the rapidly growing data analytics field where employment is projected to grow 36% through 2033.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Industry Partners
- Massachusetts General Hospital (healthcare)
Career Outcomes
Median Salary: $100,400. Top Employers: Massachusetts General Hospital.
Accreditations and Certifications
Location Advantages: Boston's tech and healthcare industry presenceAccess to major employers like Massachusetts General Hospital
University of Massachusetts-Amherst — Amherst, MA
Key Distinction: UMass Amherst uniquely combines data analytics with computational social science perspective, offering both accelerated 1-year tracks and flexible online options with the final months compatible with full-time work.
Hakia Insight: UMass Amherst's framing of data analytics through computational social science (rather than pure computer science) means graduates exit with causal inference and algorithmic bias literacy that business-focused programs treat as afterthoughts.
At the master's level, the University of Massachusetts-Amherst offers comprehensive Data Analytics programs through multiple schools, including the MS in Data Analytics and Computational Social Science (DACSS) and MS in Business Analytics (MSBA). The DACSS program is particularly distinctive as an interdisciplinary program that trains students to effectively use and communicate data to support decision-making from a social science perspective. Students study computational methods including text analysis, network analysis, geocoding and GIS, agent-based simulations, and machine learning for social sciences. The program offers flexible pathways including a 1-year fast-track plan with the last 3 months compatible with full-time work, part-time study for 18-24 months, and both on-campus and online options. The curriculum reflects current industry standards and prepares students for analyst and consulting positions in public policy, market research, public relations, corporate communications, population studies, and survey research.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Center for Data Science and Artificial Intelligence
- Computational Biology Group
- Institute for Social Science Research
Notable Faculty
- Ben Marlin — Machine learning, probabilistic models, approximate inference
- Alexandra Meliou — Data management, data quality, provenance, causality, algorithmic bias
- Andrew McCallum — Information extraction, knowledge discovery from text, statistical NLP
- Erik Learned-Miller — Computer vision and machine learning, deep learning
- Dan Sheldon — Computational ecology and environmental science, machine learning
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: Spring, Summer and Fall 2026 admissions open.
Requirements:
Location Advantages:
Worcester Polytechnic Institute — Worcester, MA
Key Distinction: WPI offers one of the first PhD in Data Science programs in the nation and has been pioneering data science education for over 10 years, ranking as a Top 6 U.S. college for Master's in Data Science programs with unique project-based learning through industry partnerships.
Hakia Insight: WPI's decade-long track record pioneering data science education and top-6 ranking for master's programs, combined with Fidelity and IBM partnerships, signals that students learn from faculty who literally designed the field's pedagogical playbook.
At the master's level, worcester Polytechnic Institute's Data Analytics program is a pioneering, interdisciplinary initiative offering multiple degree pathways including MS in Data Science (10+ years established), MBA in Analytics, and PhD in Data Science. The program emphasizes project-based learning with 500+ students completing 100+ real-world industry projects through Graduate Qualifying Projects (GQP). Students gain expertise in cutting-edge technologies including deep learning, machine learning, MLOPs, big data, reinforcement learning, generative AI, and natural language processing using industry-leading tools like PyTorch, MySQL, Python, MATLAB, Tableau, and Apache Spark. The STEM-designated programs provide extended OPT benefits for international students and feature strong industry partnerships, world-class faculty, and exceptional career outcomes with data scientist roles averaging $122,539 salary and 36% job growth projected through 2033.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- DAISY Research Group - DAta-Driven Intelligent SYstems Lab
- CEDAR Center
Industry Partners
- Fidelity Investments (corporate)
- HP (corporate)
- IBM (corporate)
- NSF (government)
- NIH (government)
- DARPA (government)
- MIT Lincoln Labs (government)
Career Outcomes
Median Salary: $122,539. Top Employers: Fidelity Investments.
Notable Faculty
- Elke A. Rundensteiner — Data Science, Big Data, Machine Learning
Admissions
Acceptance Rate: Not specified%. GPA Requirement: Not specified. Application Deadline: Rolling admissions.
Requirements: Bridge courses available for non-technical backgrounds
Accreditations and Certifications
Location Advantages:
Tufts University — Medford, MA
Key Distinction: Full-time and part-time study options available. Accelerated one-year completion option
Hakia Insight: Tufts's partnership with MIT Media Lab and emphasis on 'data storytelling' through faculty like Alice Mello acknowledge that 90% of analytics work involves persuading skeptics, not building models—a rare curricular honesty.
Tufts' MS in Data Analytics prepares working professionals to become flexible leaders with advanced data skills in statistics, probability, and analytics across diverse industries. The program offers both full-time and part-time study options, with most students completing it in two years (accelerated one-year option available). Students gain competency in statistical methodologies, machine learning, natural language processing, and generative AI applications. The program emphasizes practical problem-solving, effective communication, and team collaboration. With the U.S. Bureau of Labor Statistics projecting faster-than-average employment growth for data occupations through 2031, graduates are positioned for career advancement across nearly every sector.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus. MS
Industry Partners
Notable Faculty
- Alice Mello — Data Analytics, Storytelling with Data, Educational Technology
Location Advantages: Located in Medford/Somerville campus
Suffolk University — Boston, MA
Key Distinction: Suffolk's data analytics programs uniquely combine technical data science skills with business acumen, offering five specialized concentrations and STEM designation for enhanced career flexibility. The programs emphasize industry certifications and practical application in Boston's vibrant business ecosystem.
Hakia Insight: Suffolk's five specialized concentrations embedded within a single STEM-designated degree, paired with partnerships across the Boston Red Sox and PwC, let students customize their track mid-program based on emerging interests without changing schools.
At the master's level, suffolk University's Data Analytics programs provide comprehensive training in business analytics through multiple degree pathways including an undergraduate Business Analytics & Information Systems (BAIS) major with five specialized concentrations, a Big Data & Business Analytics major, and a Master of Science in Business Analytics (MSBA). The BAIS program uniquely bridges data science with foundational business decision-making skills, offering concentrations in Business Analytics, Information Systems, Cybersecurity, FinTech, and Artificial Intelligence. Students gain hands-on experience with industry-standard tools and technologies while preparing for industry certifications including MS Office Excel, SAP, Google Analytics, and Amazon Web Services. Both the BAIS and Big Data programs are STEM-designated, enabling international students to extend their OPT by two years. The 31-credit MSBA program emphasizes practical application of analytical functions across marketing, operations, accounting, finance, and healthcare sectors.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Sawyer Business School AI Leadership (SAIL) Collaborative
Industry Partners
- Boston Red Sox (corporate)
- California Pizza Kitchen (corporate)
- PwC (corporate)
Career Outcomes
Top Employers: Boston Red Sox, PwC, California Pizza Kitchen.
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements:
Accreditations and Certifications
- STEM-designated
- MS Office Excel
- SAP
- Google Analytics
- Amazon Web Services (AWS)
Location Advantages: Located in the heart of BostonAccess to extensive professional network of local industry leadersUrban campus environment
Doctoral Data Analytics Programs in Massachusetts
Worcester Polytechnic Institute — Worcester, MA
Key Distinction: WPI offers one of the first PhD in Data Science programs in the nation and has been pioneering data science education for over 10 years, ranking as a Top 6 U.S. college for Master's in Data Science programs with unique project-based learning through industry partnerships.
Hakia Insight: WPI's PhD in Data Science ranks among the nation's first, meaning its doctoral students benefit from 10+ years of refined supervision models and a alumni network already occupying faculty positions at peer institutions.
At the doctoral level, worcester Polytechnic Institute's Data Analytics program is a pioneering, interdisciplinary initiative offering multiple degree pathways including MS in Data Science (10+ years established), MBA in Analytics, and PhD in Data Science. The program emphasizes project-based learning with 500+ students completing 100+ real-world industry projects through Graduate Qualifying Projects (GQP). Students gain expertise in cutting-edge technologies including deep learning, machine learning, MLOPs, big data, reinforcement learning, generative AI, and natural language processing using industry-leading tools like PyTorch, MySQL, Python, MATLAB, Tableau, and Apache Spark. The STEM-designated programs provide extended OPT benefits for international students and feature strong industry partnerships, world-class faculty, and exceptional career outcomes with data scientist roles averaging $122,539 salary and 36% job growth projected through 2033.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- DAISY Research Group - DAta-Driven Intelligent SYstems Lab
- CEDAR Center
Industry Partners
- Fidelity Investments (corporate)
- HP (corporate)
- IBM (corporate)
- NSF (government)
- NIH (government)
- DARPA (government)
- MIT Lincoln Labs (government)
Career Outcomes
Median Salary: $122,539. Top Employers: Fidelity Investments.
Notable Faculty
- Elke A. Rundensteiner — Data Science, Big Data, Machine Learning
Admissions
Acceptance Rate: Not specified%. GPA Requirement: Not specified. Application Deadline: Rolling admissions.
Requirements: Bridge courses available for non-technical backgrounds
Accreditations and Certifications
Location Advantages:
Massachusetts Institute of Technology — Cambridge, MA
Key Distinction: MIT's data analytics program uniquely combines theoretical foundations with practical applications across manufacturing, infrastructure, and IoT systems, backed by world-leading faculty and breakthrough research published in top journals like Nature and Science.
Hakia Insight: MIT's doctoral program sits at the intersection of three world-leading labs (LISS, Braatz, Auto-ID) spanning infrastructure, manufacturing, and supply chain—positioning PhD candidates to become the rare experts who understand how analytics actually scales in physical systems.
At the doctoral level, MIT offers the largest computing majors at the institute with multiple specialized tracks including AI, data science, and interdisciplinary programs that combine computing with biology, economics, and urban planning. The programs are led by world-class faculty and provide rigorous, hands-on curriculum preparing students for careers in both public and private sectors.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- Laboratory for Infrastructure Science and Sustainability (LISS)
- Braatz Group
- MIT Auto-ID Laboratory
- Computer Science and Artificial Intelligence Laboratory (CSAIL)
Industry Partners
- Shell (collaborator)
- Chromatan (partner)
- Takeda (partner)
- Novartis Basel (employer)
- McKinsey & Company (employer)
- IBM Innovation Center (employer)
- Biogen (collaborator)
- Toyota Research Institute (TRI) (sponsor)
- Gates Foundation (sponsor)
- FDA (sponsor)
Career Outcomes
Top Employers: McKinsey & Company, IBM Innovation Center, Novartis Basel, Academic institutions.
Notable Faculty
- Dr. Oral Buyukozturk — Infrastructure sensing and vision-based monitoring through data analytics and AI
- Dr. Richard D. Braatz — Applied mathematics and control theory for manufacturing data analytics
- Dr. Shoumen Palit Austin Datta — RFID, IoT, and predictive data analytics
Location Advantages: Access to Harvard Medical School collaborationsProximity to biotechnology and pharmaceutical industry in Cambridge/Boston areaIntegration with MIT's broader engineering and technology ecosystem
Harvard University — Cambridge, MA
Key Distinction: Harvard's data science programs uniquely combine world-class Computer Science and Statistics faculties with cross-campus collaboration through the Harvard Data Science Initiative, offering both general data science training and specialized health data science applications.
Hakia Insight: Harvard's Harvard Data Science Initiative coordinates computer science and statistics faculties across schools, giving doctoral candidates the unusual freedom to pursue foundational theory while embedded in applied health data projects at affiliated hospitals.
At the doctoral level, harvard University offers multiple comprehensive data science programs designed to meet the growing demand for data-driven professionals. The flagship Master of Science in Data Science, jointly led by Computer Science and Statistics faculties, provides rigorous training in statistical modeling, machine learning, optimization, and analysis of massive datasets. Students complete 12 courses over at least 3 semesters, focusing on reproducible data analysis, collaborative problem solving, visualization, and ethical considerations in data science. Harvard also offers specialized programs including a Master of Science in Health Data Science through the T.H. Chan School of Public Health, which emphasizes quantitative methods for health-related applications. The programs leverage Harvard's Data Science Initiative (HDSI), a cross-campus effort developing cutting-edge data science methods. Students gain expertise in Python, R, statistical inference, machine learning, and big data analytics while preparing for diverse career paths including data scientist, data analyst, and analytics-enabled business roles.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- Harvard Data Science Initiative (HDSI)
- Sports Analytics Lab
Location Advantages: Access to Boston's thriving tech ecosystemCross-campus collaboration opportunities
Boston University — Boston, MA
Key Distinction: BU MET's Applied Data Analytics program uniquely combines rigorous academic training with hands-on experience using state-of-the-art tools and packages, while offering specialized concentrations in AI & Machine Learning and Data Engineering. The program is STEM-designated and requires no GRE/GMAT for admission.
Hakia Insight: BU's doctoral program removes GRE/GMAT barriers and pairs hands-on AI/ML and data engineering concentrations with access to Massachusetts General Hospital's operational data, attracting practitioners who would never apply to traditional research-first PhD programs.
At the doctoral level, boston University's Master of Science in Applied Data Analytics (MSADA) at Metropolitan College is a comprehensive 32-40 unit program that provides hands-on experience with various database systems, data mining tools, data visualization packages, Python, R, and cloud services. The program offers two optional concentrations: AI & Machine Learning and Data Engineering. Available both online and on campus with flexible full-time or part-time study options, the STEM-designated program can be completed in 8-20 months. Students gain practical experience through real-world projects and case studies while learning advanced data mining and machine learning approaches. The curriculum emphasizes both theoretical foundations and practical applications, preparing graduates for critical roles in the rapidly growing data analytics field where employment is projected to grow 36% through 2033.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Industry Partners
- Massachusetts General Hospital (healthcare)
Career Outcomes
Median Salary: $100,400. Top Employers: Massachusetts General Hospital.
Accreditations and Certifications
Location Advantages: Boston's tech and healthcare industry presenceAccess to major employers like Massachusetts General Hospital
University of Massachusetts-Amherst — Amherst, MA
Key Distinction: UMass Amherst uniquely combines data analytics with computational social science perspective, offering both accelerated 1-year tracks and flexible online options with the final months compatible with full-time work.
Hakia Insight: UMass Amherst's dual doctorate structure—offering both PhD and Doctor of Science degrees—lets students choose between traditional research trajectories and applied professional paths, a flexibility rare at the doctoral level that acknowledges different career endpoints from the start.
At the doctoral level, the University of Massachusetts-Amherst offers comprehensive Data Analytics programs through multiple schools, including the MS in Data Analytics and Computational Social Science (DACSS) and MS in Business Analytics (MSBA). The DACSS program is particularly distinctive as an interdisciplinary program that trains students to effectively use and communicate data to support decision-making from a social science perspective. Students study computational methods including text analysis, network analysis, geocoding and GIS, agent-based simulations, and machine learning for social sciences. The program offers flexible pathways including a 1-year fast-track plan with the last 3 months compatible with full-time work, part-time study for 18-24 months, and both on-campus and online options. The curriculum reflects current industry standards and prepares students for analyst and consulting positions in public policy, market research, public relations, corporate communications, population studies, and survey research.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- Center for Data Science and Artificial Intelligence
- Computational Biology Group
- Institute for Social Science Research
Notable Faculty
- Ben Marlin — Machine learning, probabilistic models, approximate inference
- Alexandra Meliou — Data management, data quality, provenance, causality, algorithmic bias
- Andrew McCallum — Information extraction, knowledge discovery from text, statistical NLP
- Erik Learned-Miller — Computer vision and machine learning, deep learning
- Dan Sheldon — Computational ecology and environmental science, machine learning
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: Spring, Summer and Fall 2026 admissions open.
Requirements:
Location Advantages:
