MSc in Big Data & Data Science Technology

Lead the Future of Data Innovation

The Master of Science (MSc) in Big Data & Data Science Technology is a cutting-edge postgraduate programme designed for students and professionals seeking to build expertise in data analytics, artificial intelligence, machine learning, and cloud computing . This dynamic course equips graduates with the technical knowledge, analytical skills, and hands-on experience required to succeed in one of the fastest-growing sectors in technology today.

With industries increasingly relying on data-driven decision-making, this MSc prepares you to work confidently with large-scale datasets, develop intelligent systems, and apply advanced analytical techniques across finance, healthcare, retail, government, and tech firms.

Whether you’re aiming for a role as a Data Scientist, Machine Learning Engineer, or Big Data Analyst , this programme gives you the tools and confidence to thrive in high-demand positions.

Why Choose This MSc?

• Industry-Aligned Curriculum: Gain practical skills in big data processing, predictive modeling, and AI applications.
• Hands-On Experience: Work with real-world datasets using tools like Python, R, SQL, Hadoop, Spark, AWS, Azure, Tableau, and Power BI .
• Expert-Led Teaching: Learn from experienced data scientists, AI researchers, and industry practitioners actively engaged in data innovation.
• Flexible Study Options: Designed for working professionals, available full-time, part-time, or online.
• Ethical & Secure Data Practice: Understand GDPR, data privacy laws, and cybersecurity frameworks that govern modern data use.
• Research-Informed Approach: Prepare for independent study and contribute to advancements in data science and AI.

Course Structure: From Theory to Real-World Application

This MSc blends academic theory with applied learning, ensuring you graduate ready to lead in data-intensive environments.

Core Modules:

• Big Data Technologies & Cloud Computing – Explore distributed systems, cloud platforms (AWS, Google Cloud, Azure), and scalable data architecture.
• Machine Learning & Artificial Intelligence – Build supervised, unsupervised, and deep learning models for business and research applications.
• Data Science Programming – Develop proficiency in Python, R, SQL, and NoSQL databases for data manipulation and analysis.
• Statistical Modelling & Data Analytics – Apply hypothesis testing, regression, and forecasting techniques to drive strategic decisions.
• Data Visualisation & Business Intelligence – Use Tableau, Power BI, and Python libraries to communicate insights effectively.
• Big Data Security & Ethics – Navigate data governance, ethical challenges, and compliance frameworks in data science.
• Natural Language Processing (NLP) & Text Analytics – Extract insights from unstructured data, including sentiment analysis and chatbot development.
• Time Series Analysis & Forecasting – Apply statistical methods to financial trends, stock markets, and business forecasting.
• Research Methods in Data Science – Strengthen your research capabilities for scientific inquiry and industry projects.
• Dissertation or Industry-Based Project – Conduct original research or collaborate with organisations on live data science challenges.

Please note: Module availability may vary depending on university and delivery mode.

Skills You Will Develop

By studying this MSc, you will gain:

• Big Data Processing Expertise – Use Hadoop, Spark, and cloud-based tools to manage and analyse complex datasets.
• Advanced Machine Learning Techniques – Build and deploy AI-powered models for predictive analytics and automation.
• Programming & Scripting Proficiency – Master Python, R, SQL, and Scala for data engineering and model deployment.
• Data Visualisation & Communication Skills – Translate findings into clear, impactful reports and dashboards.
• Cloud Computing Knowledge – Deploy and manage data pipelines using AWS, Azure, and Google Cloud platforms.
• Critical Thinking & Problem-Solving – Apply data science to business, finance, healthcare, and public sector challenges.

Teaching & Assessment Methods

You will learn through a combination of:

• Lectures and interactive seminars
• Practical coding labs and data workshops
• Case studies and industry-led projects
• Group discussions and peer collaboration
• Independent research and dissertation work

Assessment includes:

• Practical programming assignments
• Data analysis reports and visualisations
• Research proposals and presentations
• Final dissertation or applied project

Regular feedback and academic support ensure you build confidence and competence throughout the programme.

Who Should Apply?

This course is ideal for:

• Graduates with a 2:2 honours degree or equivalent in Computer Science, Mathematics, Statistics, Engineering , or related disciplines.
• Professionals with relevant experience in software development, data analytics, or IT are encouraged to apply.
• International applicants must meet English language requirements (typically IELTS 6.5 with no component below 6.0 ).
• A basic understanding of statistics, probability, and programming is preferred but not mandatory.

All applications are subject to university approval.

Career Prospects: Unlock High-Level Roles in Data Science

An MSc in Big Data & Data Science Technology opens doors to meaningful careers across a variety of sectors, including:

• Data Scientist – Working in fintech, e-commerce, healthcare, and AI research labs.
• Big Data Engineer – Designing and managing large-scale data infrastructure.
• Machine Learning Engineer – Developing AI models for automation, fraud detection, and digital transformation.
• Business Intelligence Analyst – Supporting corporate strategy and performance management through data insights.
• Cloud Data Architect – Managing enterprise-level data solutions on AWS, Microsoft Azure, and Google Cloud.
• Data Consultant – Advising businesses on data strategy, digital transformation, and analytics implementation.
• PhD Researcher – Contributing to academic studies in AI, big data, and machine learning.

Graduates have gone on to successful roles in global tech firms, financial institutions, NHS departments, and leading data consultancies .

With its strong emphasis on technical proficiency, innovation, and ethical practice, this qualification significantly enhances your credibility and employability in today’s competitive job market.

Start Your Journey Toward a Career in Data Science Today

Whether you’re looking to formalise your technical expertise, transition into a data-driven role, or prepare for further doctoral study, the MSc in Big Data & Data Science Technology gives you the strategic insight and practical tools you need to succeed.

Apply now and take the next step toward becoming a leader in data science and shaping the future of AI and analytics.