Enter OTP
The Master of Science in Data Science at Clarkson University is an interdisciplinary, STEM-designated graduate program designed to prepare students for leadership roles in data-centric industries. Blending applied computing, statistics, machine learning, and data ethics, the program enables students to harness the power of data to solve real-world problems across domains such as healthcare, finance, engineering, and public policy.
This program is ideal for students with strong quantitative or technical backgrounds who are seeking to enhance their expertise in predictive analytics, data engineering, and AI-driven decision-making.
Program Format & Duration
Available in on-campus, online, and hybrid formats
Duration: Typically 18–24 months (full-time)
Fall and Spring intakes
STEM-designated (OPT-eligible for international students)
Thesis and non-thesis options available
GRE: Optional (may be required for some applicants)
Core Curriculum Components
The curriculum is designed to deliver both technical skills and domain-contextualized knowledge, with a balance of theory and practical application.
Foundational Courses
Programming & Tools
Data Science Programming (Python, R)
SQL & Data Management Systems
Big Data Processing (e.g., Hadoop, Spark)
Statistical & Analytical Methods
Applied Statistics
Data Mining & Predictive Modeling
Time Series & Forecasting
Experimental Design
Machine Learning & AI
Supervised & Unsupervised Learning
Deep Learning Fundamentals
Natural Language Processing
AI Ethics and Responsible Data Use
Capstone / Thesis
Capstone Project: Applied industry challenge with real-world datasets
Thesis Option: Research-based, culminating in a formal defense under faculty supervision
Electives & Specialization
Students may select electives based on interest or career goals, including:
Financial Data Analytics
Computational Biology
Data Visualization
Cybersecurity Analytics
Cloud-Based AI Systems
Clarkson University integrates hands-on, project-based learning through coursework, research, and industry partnerships.
Capstone Project
Mandatory for non-thesis students
Students work in teams on industry-sponsored or faculty-advised projects
Projects typically involve:
Data acquisition and cleaning
Statistical and machine learning modeling
Communication of insights to stakeholders
Research & Labs
Opportunities to engage in applied research with Clarkson’s research centers:
Institute for a Sustainable Environment
Beacon Institute for Rivers and Estuaries
Center for Identification Technology Research (CITeR)
Internships & Career Prep
Career services assist with internship placements and job readiness
Strong ties with regional and national employers, including:
GE, IBM, Regeneron, National Grid
Government agencies and research labs
Graduates of the MS in Data Science at Clarkson are well-equipped to contribute across sectors, combining technical proficiency with strategic insight to address complex data problems.
Career Outcomes
Graduates pursue roles such as:
Top Employers
Clarkson graduates are recruited by:
Further Education
Some graduates pursue:
Salary Overview-
Top Employers-
Geographic Placement-
Industry Sectors-
Career Growth and Progression-
What This Means for You-
Online Application Form: Complete and submit the graduate program application. Résumé or CV: Provide a current résumé or curriculum vitae.Statement of Purpose: Submit a 250–500 word essay describing your interest and fit for the program.Letters of Recommendation: Provide three letters (some programs accept two, but three recommended). Transcripts: Upload official transcripts from all postsecondary institutions attended. GRE Scores: Optional—applications will be reviewed without them, but submission may enhance your profile.English Proficiency (International): Submit one of TOEFL ≥ 80, TOEFL Essentials ≥ 8.5, IELTS ≥ 6.5, PTE ≥ 56, or Duolingo ≥ 115, unless exempt.Prerequisite Foundation: Demonstrate coursework or use free introductory modules if lacking calculus, programming, or statistics background. Rolling Admissions: Apply anytime—there are no fixed deadlines. Three‑Year Bachelor’s Degrees: A U.S.-equivalent bachelor's degree is required (typically four years); while Clarkson doesn’t specifically mention three-year degrees, any nonstandard credential will be evaluated via official transcripts and may need a credential evaluation WES Evaluation: WES or other credential evaluations are accepted but not required, as Clarkson relies primarily on official institutional transcripts, though optional evaluation reports can support equivalencyData AnalystData ScientistBusiness AnalystStatisticianStatistical ProgrammerSAS ProgrammerMachine Learning EngineerDeep Learning EngineerAI ResearcherData EngineerBI DeveloperData ArchitectAnalytics ConsultantAdvisory ConsultantQuantitative AnalystRisk AnalystOperations AnalystMarketing AnalystResearch ScientistInsights AnalystForecasting AnalystHealthcare Data AnalystFinancial Data AnalystProduct Analyst
Embark on your educational journey with confidence! Our team of admission experts is here to guide you through the process. Book a free session now to receive personalized advice, assistance with applications, and insights into your dream school. Whether you're applying to college, graduate school, or specialized programs, we're here to help you succeed.
Clarkson University
