Turn Complex Data into Decisions That Matter

Online Master of Science in Data Science - East Bridge University

Develop advanced capabilities in statistical analysis, data visualisation, machine learning, data engineering and predictive modelling through a flexible Online Master of Science in Data Science designed for working professionals. Brace your academic learning with industry-focused pathways involving Microsoft technologies, AI CERTs® and other recognised learning providers.

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● 100% Online & Flexible

● Global Recognition from QS and Times Higher Education

● Stackable micro-credentials from Microsoft, AI CERTs® and other recognised providers

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A New-Age Master's for the Business Analytics

Online Master of Science in Business Analytics

The Online Master of Science in Data Science from East Bridge University is designed for professionals who want to understand how data is collected, prepared, analysed, modelled and communicated. The programme develops capabilities across statistics, programming, database systems, data visualisation, machine learning, data engineering and responsible data use. You will explore the complete journey from unstructured information to evidence-based insight.

Organisations now collect large volumes of customer, operational, financial and behavioural data. However, data has limited value until professionals can identify patterns, test assumptions and communicate what the findings mean for decision-makers. Your learning journey also incorporates specialised courses and technology-focused pathways involving Microsoft technologies and other recognised learning providers. This enables you to develop a broader portfolio of practical data capabilities alongside your master’s degree.

Earn Microcredentials Alongside Your MSc

Build your degree. Strengthen your data science expertise along the way.

The MSc in Data Science integrates industry-focused microcredentials throughout the curriculum, combining advanced academic learning with practical exposure to the tools, technologies and techniques shaping modern data science. As you progress through the program, you engage with focused learning across data science, machine learning, data engineering, big data, business intelligence, data visualisation and generative AI—building specialised capabilities alongside your MSc.

Stackable Microcredentials Integrated into Your Learning from:

The program also offers electives that allow learners to extend their expertise into cloud data platforms, quantum computing, data quality and testing, solution architecture, generative AI, natural language processing, intelligent agents, AI-assisted development, project management and data science strategy.

Data Is Growing. So Is the Need for People Who Can Interpret It.

Organisations have access to more information than at any previous point. The challenge is knowing which data is useful, whether it can be trusted and how it should influence decisions. Data science brings together statistics, computing, analytical thinking and subject knowledge to address that challenge. It helps organisations forecast demand, understand customers, detect risks, improve services and identify new opportunities.

The World Economic Forum identifies AI and big data as the fastest-growing areas of professional skills through 2030. Big Data Specialists also rank among its fastest-growing professional roles. The US Bureau of Labor Statistics projects that employment for data scientists will grow by 35% between 2025 and 2035, compared with 3% growth across all occupations. It also projects approximately 24,800 openings each year during this period.

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35%

Projected employment growth for data scientists between 2025 and 2035

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24,800

Average number of projected data scientist openings each year

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Fastest-Growing skill area

AI and big data lead the World Economic Forum’s list of fastest-growing professional skills

Who Is This For?

Is an Online MSc in Data Science Right for You?

The programme is designed for professionals who want to deepen their analytical expertise, move into data-focused positions or help their organisations make better evidence-informed decisions. It may be particularly relevant for:

Data Analysts
Business Analysts
Data Professionals
Software Developers
IT Professionals
Database Professionals
Business Intelligence Professionals
Statisticians
Researchers
Engineers
Finance Professionals
Marketing Analysts
Operations Professionals
Technology Consultants
Digital Transformation Professionals
Managers working with data
Graduates seeking data science specialisation
Professionals transitioning into analytical careers

Online MSc in Data Science · Key Benefits

What Sets East Bridge University’s Online MSc in Data Science Apart?

This Online MSc in Data Science is designed to provide globally recognised learning, flexible online study, practical data science knowledge and opportunities to build professional connections.

Globally Accredited and Trusted Degree

Online MSc in Data Science

This Online MSc in Data Science is approved by The Rector of the Paris Academy operates under the Ministry of National Education, France.

Flexible Online Learning

Study Around Your Commitments

Designed for busy working professionals, our Master’s Degree in Data Science Online degree allows you to balance your studies with work and personal commitments.

Global Recognition

MSc in Data Science · Microsoft Certifications

Our online MSc in Data Science with Microsoft Certifications degree has a global presence & is reflected through recognition and visibility on respected global higher education platforms, including QS and Times Higher Education.

Complete Data Science Lifecycle

Data · Analysis · Modelling · Visualisation

Explore how data is acquired, cleaned, analysed, modelled, visualised and transformed into practical recommendations.

Statistical and Analytical Foundations

Probability · Statistics · Quantitative Methods

Develop knowledge of probability, statistics, quantitative methods and the analytical principles supporting data science.

Data Visualisation and Communication

Analysis · Communication · Stakeholders

Learn how to present analytical findings clearly to both technical and non-technical stakeholders.

Expert Faculty

Experienced and Qualified Faculty

The degree boasts experienced and qualified faculty. This ensures that you get a chance to experience the best possible education.

Reasonably Priced

Flexible Payment Options

Enjoy flexible payment options, including easy instalment plans, scholarships, and a pay-per-credit basis.

Global Networking Opportunities

International Alumni Network

Gain the opportunity to join a vast alumni network with exclusive alumni events and insights that will keep you connected with industry learnings and opportunities.

Build Skills for the Future of Data Science

Why Pursue an MSc in Data Science?

Develop the analytical, technical and strategic skills needed to work with complex data, generate meaningful insights and support data-driven decisions.

01 · Move Beyond Basic Reporting

Learn how to investigate patterns, test relationships and develop insights rather than only producing descriptive reports.

02 · Build Skills for a Data-Driven Economy

Organisations increasingly need professionals who can use data to improve decisions, services and operations.

03 · Work with Complex Data

Develop approaches for preparing and analysing structured, unstructured and large-scale datasets.

04 · Connect Data with Business Needs

Develop the ability to frame organisational challenges as analytical questions that can be explored through data.

05 · Improve Data Quality and Governance

Understand why reliable analysis depends on accurate, secure and responsibly managed data.

06 · Prepare for Emerging Careers

Build knowledge relevant to data science, analytics, data engineering, business intelligence and machine learning positions.

MSc Admission Requirements

Eligibility Criteria

Our admission requirements are formed keeping in mind that every adult student’s life situation and profile are different. We like to handle each case differently and encourage aspirants to get in touch with us to clarify their doubts and get their questions answered. We have a highly responsive admission and counselling team that guides the applicants through the process of admission.

The following are the requirements for admission to the M.Sc Programme:

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Recognised Bachelor’s Degree in any field, or any equivalent degree.

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A basic English Proficiency Level (Studied all subjects in English at High School, or at least 55% of marks in English at High School).

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Prior professional experience, or prior learning credits

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Knowledge of internet browsing, online research skills, and proficiency in MS Word

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Your journey
starts here

Curriculum

Curriculum for Online MSc in Data Science

Foundation — 10 Credits

Digital Transformation & Research Skills
Foundations of AI & Data

Core — 60 Credits

Data Science Foundations
Machine Learning & Predictive Modelling
Data Engineering & Big Data
Business Intelligence & Data Visualisation
Big Data & Generative AI Engineering
Responsible Data Science, Ethics & Governance

Electives — 40 Credits: Choose Any 4

Cloud Data Platforms
Quantum Computing for Data Science
Data Quality Assurance & Testing
Data Solution Architecture
Generative AI & NLP for Data
Intelligent Agents & AI-Assisted Development
Data Product & Project Management
Data Science for Business & Strategy

Capstone — 10 Credits

A supervised research paper of 2,000 words, in which the student takes a real dataset through the full pipeline, from acquisition and engineering to modelling, evaluation and communication, and submits a report with working code and results.

What Could Your Next Role Look Like?

Graduates can apply the knowledge and capabilities developed through the Online MSc in Data Science across analytical, technical, research and strategic career pathways. Potential career directions include:

Career Directions

Data Scientist Senior Data Analyst Business Intelligence Analyst Business Intelligence Developer Machine Learning Analyst Predictive Analytics Specialist Data Engineer Analytics Consultant Statistical Analyst Quantitative Analyst Marketing Data Analyst Financial Data Analyst Operations Analyst Customer Insights Analyst Research Data Analyst Data Visualisation Specialist Data Science Consultant Decision Science Analyst Data Product Specialist Analytics Manager Head of Data and Analytics Chief Data Officer

*Career outcomes depend on previous experience, technical capabilities, location, industry requirements and continued professional development.

Industries You Can Work In

Technology and Software Development Banking and Financial Services FinTech Healthcare and HealthTech Retail and E-commerce Education and EdTech Manufacturing Telecommunications Insurance Marketing and Advertising Consulting Logistics and Supply Chain Energy and Utilities Media and Entertainment Government and Public Services Research Real Estate Travel and Hospitality Automotive Technology Start-ups

Programme Fee

Invest in Skills Built for the Future

Currency Converted Amount

USD $ 3,000

GBP £ 2,241

EUR € 2,616

AED AED 11,020

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Frequently Asked Questions

Common Questions About the MSc

What is the total credit value of the MSc in Artificial Intelligence?

The MSc comprises 120 credits: 10 foundation credits, 60 compulsory core credits, 40 elective credits, and a 10-credit Applied AI Capstone.

Do I get to choose my AI specialisation?

The programme provides eight elective options, from which learners choose four. This allows you to develop a pathway around areas such as AI agents, robotics, quantum computing, data engineering, business intelligence, AI quality assurance, AI product management, or AI strategy.

Does the programme cover Generative AI?

Yes. Generative AI is integrated across the curriculum, including Generative AI & LLM Engineering, Deep Learning & Neural Networks, NLP & Prompt Engineering, AI Engineering and selected advanced pathways.

Will I learn about AI agents?

Yes. Learners selecting AI Architecture & Agents can study AI architecture and agent development through AI+ Architect, AI+ Agent, and Azure-focused AI agent learning.

Does the MSc include Microsoft technologies?

Yes. The curriculum incorporates bundled learning involving technologies and environments such as Microsoft Azure, Microsoft Fabric, Power BI, Azure Databricks, Azure Database for PostgreSQL, GitHub Copilot, and GitHub Actions.

Does the programme cover responsible AI?

Yes. A compulsory Responsible AI, Ethics & Governance module explores AI ethics, policy, governance, and responsible implementation.

Is there a practical project?

Yes. The programme concludes with a 10-credit Applied AI Capstone, where learners address a real problem end to end and submit a report together with working code or a deployed model.

Who is this MSc suitable for?

The programme can be particularly relevant for software developers, IT professionals, data professionals, AI and machine learning professionals, technology managers, digital transformation professionals, entrepreneurs, product leaders, and professionals seeking to build careers around AI.

What career opportunities can I explore after the programme?

Depending on your previous experience and skills, potential pathways include AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, NLP Engineer, MLOps Engineer, Data Scientist, AI Architect, AI Product Manager, AI Strategy Consultant, AI Transformation Lead, and other emerging AI roles.

Learn the technology. Build the intelligence. Lead what comes next.

The MSc in Artificial Intelligence from East Bridge University is designed to help you build the broader capability the AI economy needs — not just the ability to use AI tools, but to understand how AI is built, engineered, deployed, governed, integrated and transformed into business value.

Apply for MSc in Artificial Intelligence

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East Bridge University, praised by Influential Business Leaders

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Teacher at GEMS Our Own English High School, Dubai.

Bachelors Degree Program

I am incredibly thankful to the guidance, support and learning I have received during the B.Ed. program. The comprehensive and informative course content and the valuable feedbacks during assignments has not only helped me to expand my knowledge, skills, and understanding about early childhood education but also made me confident to pursue a career in teaching.

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