Develop the capabilities to excel in data science. Study an online MSc with a university rated 5-star for teaching and with internationally excellent research
*QS Stars World University Rankings 2023
**Guardian University Guide 2026
***Research Excellence Framework 2021
World-class teaching, built around your future.
We put our students at the
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We partner with employers
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We are a catalyst for
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and innovation driving economic
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The 100% online MSc Computer Science with Data Science from the University of Sunderland has been designed to equip individuals who aren’t from a computer science or data analytics background with the knowledge and skills to launch an exciting new career in data science or data analytics.
It is also ideal for professionals who want to develop data science skills to apply to their current role as a means of progressing their career and is open to professionals who work in computer science roles and want to gain an academic qualification to enhance their credentials and career prospects. Studying the course, you will gain the knowledge and skills required to succeed in one of the numerous and high-demand data scientist roles in today’s employment market.
Studying the online MSc Computer Science with Data Science, you will learn to effectively specify, design and implement data science and data analytics systems in the real world. Fundamental computer science topics will be covered which will equip you with practical skills in subjects such as networking, databases, software engineering and cyber security.
You will also learn programming languages including Python, R, CISCO and Oracle.
There is a high percentage of international students at University of Sunderland, and we have students studying by distance learning around the world. Sunderland is also one of the UK’s leading widening participation Universities and is 7th in the UK for social inclusion (The Times and Sunday Times Good University Guide 2024).
This reflects the global outlook, culture and capabilities of the University. We have campuses in Hong Kong, Sunderland and London, as well as many global partnerships including in the Caribbean, Greece, Kenya, Malaysia, Lanka, Oman, Singapore, Sri Lanka, Tashkent and Vietnam, and our approach is focused on encouraging diverse learner cohorts where students can interact with and learn from fellow students and professionals from different backgrounds. This provides students with a breadth of insights that engenders a richer and more meaningful learning experience.
Total course fees
£7,140
Per 15-credit module fee:
£595
If you are based in the UK, you may be eligible for a government-backed postgraduate loan to cover the full costs of the course.
In addition, if you have successfully completed an undergraduate degree at the University of Sunderland, you are eligible for a 10% tuition fees reduction on our postgraduate programmes.
You pay tuition fees for each module taken, either module-by-module or in full at the start of your course.
If you pay module-by-module, you will pay in instalments of £595.
The module introduces you to the foundational principles and concepts of computer science upon which the rest of your programme is built. You will learn about the traditional concepts, techniques and notation in the subject with both a practical and theoretical basis. Starting with the birth of counting systems in ancient civilisations and transitioning through to the present day you will explore several key themes including number theory, algorithms, Boolean algebra, logic, state machines, sets, functions, graphs and trees. Thus you will understand the development of the discipline as an academic subject as well as its social, ethical and professional impact and implications in today’s digital world.
This module provides you with a sound understanding of data science and data analysis. The general data science lifecycle (collect, clean, analyse, share, and act) will be used to integrate the skills and knowledge that you learn into a coherent whole. In this module you will learn how to tackle different types of data, and how to fuse more than one dataset together. You will develop an understanding of the core mathematical models, statistical analyses, and the principles and framework for intelligent analytics on a variety of datasets, making use of modern data science and data analytics platforms and languages. You will also examine techniques and tools for presenting and visualisation.
Organisations use big data to make informed decisions that can affect their strategic direction. By learning how to analyse, interpret and manage big data and open data, whether in business organisations or in subject-specific specialist domains, you will be able to make management decisions or advise those making decisions supporting the identification of business opportunities and challenges. You will have the opportunity to contextualise big data ecosystems depending on your field of interest or employment and to deploy data science principles, tools and techniques to determine the benefits of applying big data sets in organisational settings.
This module provides you with a learning synergy of digital technology, artistic creativity, and business intelligence development in the broader context of data science. On the successful completion of the module, you will have professional-level skills in data visualisation based on mastery of state-of-the-art data visualisation methodologies and best practices for real life data-driven problem analysis, data insights discovery and communication. Your earlier study and/or professional background can be effectively incorporated into the learning activities of the module from domain-specific perspectives to form a personalised learning journey and prompt individual future career or academic development.
This module gives you a critical understanding of two interrelated subjects: machine learning and data mining. You will develop an understanding of the tools, trends and current developments as well as the relevant professional, ethical, social and legal considerations in their application. You will also learn about information and knowledge management, problems with data, and the approaches taken in the selection of machine learning and data mining tools.
This module examines the basic architectures of a modern-day computer system. It covers the functions and operations of all the key principle hardware and software elements as well as consideration of the many different types of computer systems available. This module also examines the fundamentals and concepts behind computer communications. This includes networking hardware, network physical and logical addressing, network topologies, network structured design, configuration and troubleshooting, protocols, and local and wide area network technologies. The module also teaches the fundamentals of the basic security of networks and network devices.
In this module you will develop the essential knowledge and skills to design, implement and evaluate complex object-oriented software artefacts by using a range of appropriate software engineering methodologies. You will learn to use an industry-standard language development environment, primarily in Python language, and learn a range of conceptual design tools to effectively specify, visualise and document a complex software architecture.
This module provides you with the ability to design and develop secure database systems using relational and advanced database technology. You will explore the fundamental topics of databases including data models, database selection, database design, security, integrity, transaction management, database performance, and client-server and web-based database architectures. You will also examine advanced database topics such as database security, big data systems, data warehousing, NoSQL, and NewSQL systems. The module focuses on how traditional and web-based database and information systems can be developed with cybersecurity as a fundamental design and development issue. You will learn how to develop secure database systems through developing SQL code and through database programming by, for example, creating stored procedures, cursors and triggers using a DBMS such as Oracle or Postgres.
In this module you will learn about research and the processes involved in designing and carrying out research, developing your ideas to create a project proposal. The module is designed to give you flexibility in developing your proposal, enabling you to explore a work-based problem or one that is driven by your own research experience and interests. The module prepares you for your project in exploring and applying research, technical and grey literature for your area of interest and in formulating appropriate research questions. It will enable you to investigate and define the relationship between question, methodology and method in your project. You will also consider relevant legal, ethical, professional and social issues for your proposed project. The outcome of this module is an extended proposal for your project.
In this module you will learn about planning and managing your research project from inception to completion. You will explore research project management methods, techniques and tools, applying them to your project proposal and creating an implementation and delivery plan. You will learn how to develop and apply a research design and how to plan and implement the delivery, considering risks and developing mitigation strategies to reduce these. You will investigate research methods to enable you to assess and evaluate your project outcomes and findings. The module is designed to give you flexibility in developing your project plans and research management, enabling you to explore a work-based problem or one that is driven by your own research experience and interests. It prepares you for execution of your project by providing research management and methods to enable you to plan and structure all stages of your project.
In this module you will undertake a research project presenting your results in both written and oral forms. Your project will involve a significant piece of independent research exploring the forefront of your programme discipline. The module is designed to give you flexibility, enabling you to explore a work-based problem or one that is driven by your own research experience and interests. You will implement an artefact that involves practical activities related to your area of interest, such as implementing software, creating strategies and policies or analysing datasets to provide insights. You will execute your research project from inception to final evaluation, incorporating reflection and dissemination. You will consider and address the professional, ethical, legal and social issues related to your project. You will apply your expertise, project management and practical skills within your particular domain, demonstrating critical and innovative thinking and problem solving within a research context.
