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The Master of Science in Data Science (MSDS) at Northeastern University – Boston is a STEM-designated, interdisciplinary graduate program designed to equip students with robust technical foundations in data science while offering exposure to real-world applications through Northeastern’s signature co-op model and global industry partnerships.
Offered jointly by the Khoury College of Computer Sciences and the College of Engineering, the program combines cutting-edge coursework in machine learning, statistics, programming, and data systems with experiential learning opportunities that prepare graduates for leadership in industry, research, and beyond.
Program Format & Duration
Full-time and part-time options available
Typically completed in 2 years (32 semester hours)
STEM-designated (eligible for up to 3 years of OPT for international students)
Location: Boston campus
Optional Co-op experience (4–8 months of full-time, paid work)
Core Curriculum Components
The MSDS curriculum provides a balance between foundational theory and applied technical skills, with the flexibility to tailor electives to specific interests.
Core Requirements (16 credits)
DS 5010: Introduction to Data Management and Processing
DS 5020: Introduction to Machine Learning and Data Mining
DS 5230: Unsupervised Machine Learning and Pattern Recognition
DS 5500: Information Visualization
Elective Options (16 credits)
Students select technical and domain-focused electives, such as:
Deep Learning and Neural Networks
Natural Language Processing
Cloud Computing and Big Data Systems
Artificial Intelligence
Reinforcement Learning
Graph Analytics
Ethical Data Science
Causal Inference
Computational Statistics
Blockchain and Cryptography
Geospatial Data Science
Electives may be taken across Khoury College, the College of Engineering, and other affiliated departments depending on career goals.
Northeastern's emphasis on learning through practice is embedded in the MSDS experience through co-ops, applied research, and project-based learning.
Optional Co-op Program
Full-time, paid industry placements lasting 4 to 8 months
Students apply data science skills in real-world environments while building networks and earning income
Past co-op employers include: Amazon, IBM, Wayfair, Liberty Mutual, Dell Technologies, Fidelity Investments, and startups in Boston’s tech ecosystem
Capstone and Research Opportunities
Students may complete:
Capstone Project: Collaborative project solving a real-world challenge, often in partnership with an external organization
Independent Study or Research: Work with faculty in areas like cybersecurity, health informatics, or AI ethics
Access to Northeastern research labs including:
Network Science Institute
Institute for Experiential AI
Life Sciences Testing Center
Technical Skillset Developed
Students gain practical expertise in:
Languages: Python, R, SQL, Java
Tools: TensorFlow, PyTorch, Hadoop, Spark, Airflow, Docker
Platforms: AWS, Azure, Google Cloud
Visualization: Tableau, Plotly, Matplotlib, D3.js
Collaboration: GitHub, Jupyter Notebooks, VS Code
Northeastern MSDS graduates are recognized for their technical strength, hands-on experience, and adaptabilityacross diverse domains and job functions.
Career Outcomes
Graduates typically pursue roles such as:
Industries Hiring Northeastern Graduates
Graduate Study & Advancement
Some MSDS alumni pursue:
Salary Overview-
Top Employers-
Geographic Placement-
Industry Sectors-
Career Growth and Progression-
What This Means for You-
Online application & fee: Complete the online application and pay the non-refundable fee.Transcripts: Upload transcripts (unofficial OK) from all previously attended institutions, with official copies required upon admission.Statement of Purpose: Submit a statement explaining your career goals, background, and how the program will benefit you. Résumé: Provide a professional résumé or CV that highlights your education, experience, and skills.Letters of Recommendation: Include three confidential letters of recommendation.Prerequisite Assessment: Complete a pre-admission placement test or coursework in programming, stats, probability, linear algebra, or take required foundations courses (DS 5010 & DS 5020).English Proficiency (International): Self-report TOEFL or IELTS scores as part of the application; official scores required upon admission.Program Deadlines: Apply by August 1 (domestic Fall) or April 15 (international Fall) for timely consideration; decisions are made on a rolling basis. Three‑Year Bachelor’s Degrees: Northeastern accepts three-year undergraduate degrees from international institutions, assuming the degree is equivalent to a bachelor’s and pre-requisite coursework is complete.WES Evaluation: While not explicitly required, a WES or equivalent credential evaluation (course-by-course) is strongly recommended for international applicants to clearly establish U.S.-equivalent degree credentials.Data 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
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