Degree
Master of Science in Data Science
Programme Key Points
Architecting Intelligent Data Ecosystems Transition beyond coding into full-stack data design—develop and govern scalable, ethical and intelligent data infrastructures for modern enterprises.
Strategic Data Leadership in the AI Economy Turn complex data into actionable predictions that guide transformation by mastering predictive modelling, AI integration and decision science.
Ethical, Fair & Regulated AI Practice Champion responsible data science through in-depth understanding of algorithmic bias, data privacy laws (including GDPR) and ethical governance frameworks.
Agile Analytics & MLOps Execution Deliver value quickly through knowledge of agile data workflows, version-controlled pipelines and associative model deployment in cloud-native environments.
Global Peer Collaboration Work alongside fellow data science learners from around the world. Solve problems with global relevance in a unified technical learning environment.
Programme Highlights
Career-Ready Launch
Enter high-demand roles like Data Scientist or ML Engineer within 18 months.
Practical Data Immersion
Work on real datasets from healthcare, fintech, retail and sustainability.
Fast-Tracked Growth
Gain global exposure, expert mentorship and a portfolio that sets you apart.
Programme Overview
Master of Science in Data Science at Birchwood University prepares you to become a visionary leader in the data-driven era. This fully online, flexible programme is crafted for professionals and aspiring experts seeking to harness the power of data analytics, machine learning and data engineering to drive strategic innovation across industries.
Throughout this advanced degree, you will progress from interpreting data to producing actionable insights, commanding the entire data journey—from acquisition and cleansing to modelling, visualisation and impactful decision-making. Apart from the technical prowess, the course emphasises ethical leadership, effective communication and critical thinking, ensuring you emerge as a strategic influencer in your organisation.
This program is unique in that it focuses on using data to solve tangible, high-stakes challenges. Your learning is based on global best practices and real-world relevance, whether you're building AI-powered recommendation engines, predicting climate patterns, identifying fraud or optimising digital campaigns.
Key competencies include:
- Communicate complex data insights clearly and ethically across diverse, global teams.
- Integrate Data Science, Python, Machine Learning and AI to develop innovative solutions.
- Translate analytical findings into meaningful impact.
- Harness analytics to guide influential, tech-enabled business change.
Why Choose this Programme?
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Globally Accredited, AI-Centric Education
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Industry-Evolved Curriculum with Vertical Depth
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Syllabus
18 Months Online Master of Science in Data Science Programme
Master of Science in Data Science programme is structured for completion in 18 months, with flexibility to accommodate working professionals. The coursework moves from foundational to advanced levels in a seamless manner.
MDS500: Python Programming (4 Credits)
Learn to write efficient, readable Python code for data manipulation, automation and analysis.
MDS510: Database Management System (4 Credits)
Explore relational and non-relational databases with SQL and NoSQL for scalable data storage and retrieval.
MDS520: R Programming (4 Credits)
Gain proficiency in statistical computing and data visualization using R for analytical modeling and reporting.
MDS530: Exploratory Data Analysis (4 Credits)
Discover patterns, spot anomalies and test assumptions through hands-on data exploration techniques.
MDS540: Machine Learning (4 Credits)
Build predictive models using supervised and unsupervised learning algorithms with real-world datasets.
MDS550: Machine Learning Model Deployment (4 Credits)
Learn to deploy and monitor ML models using Flask, Docker and cloud-based MLOps pipelines.
MDS560: Artificial Intelligence (4 Credits)
Develop expertise in deep learning, CNNs and generative models to build intelligent, adaptive systems.
MDS570: Data Visualization Using Tableau/Power BI (4 Credits)
Learn designing impactful dashboards and interactive reports using industry-standard BI tools for storytelling with data.
MDS600: Capstone Project (4 Credits)
Apply your knowledge to a capstone analytics initiative, delivering a final portfolio-ready solution.
Courses
Master of Science in Data Science
Tuition Fees
$11,700
Country
United States
Mode of Teaching
Online
Duration
18 Months
Eligibility
- Bachelor’s Degree in computer science, engineering, mathematics, statistics or a related field
- Statement of Purpose (500–700 words)
- Two Letters of Recommendation
- No GRE or entrance exams required
Certified translated copy for documents which are not in English.
Career Opportunities
This programme prepares students to work across diverse, data-driven sectors. The U.S. Bureau of Labour Statistics (BLS) has projected that between 2021 and 2031, the demand for data science positions will increase by 36%. Top Roles: Certainly! Based on the latest available data, here are the updated average annual salaries for key data science and AI roles in the United States as of 2025:
A Community of 1000+ And Counting
Here's what our students have to say about their programme experience with EuroAmerican Education
Tom B.
The capstone project is pushing me to apply everything I’ve learned in the actual business scenario. The mentorship from experts at Birchwood University has been instrumental in helping my career aspirations.
Maya L.
The weekly case study sprints with my international cohort have expanded my perspective. Working together with other students on fraud detection projects has been invaluable for practical learning.
Rahul S.
I have just started my journey into a master's programme in Data Science at Birchwood University and it is already proving a rewarding experience. The Python programming module was thorough and the faculty’s support helped me quickly get up to speed, even without a strong tech background.
Jacob M.
As a career switcher, this programme is a perfect opportunity for me. I am working on building models and presenting insights through dashboards right now. The case studies are really interactive which has boosted my confidence as well.
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