Online degree MSc Computer Science

• Programming with Python
  One of the most versatile scripting languages, Python is widely used in web development to scientific computing. Develop your knowledge of Python, including uncovering its key features and applications.

• Advanced mathematics
  Did you know that modern techniques used to analyse data and make predictions for the future are rooted in advanced mathematics? You’ll explore concepts behind advanced algorithms used to process data. As well as growing your knowledge of vector algebra, vector calculus and information theory.

• Advanced research methods
  This module develops skills and expertise in business research methods to help businesses improve performance, maximize shareholder value, and meet ethical and moral compliance standards.

• Advanced statistics
  Nearly all processes in nature, including most technical and scientific scenarios, are not deterministic but stochastic. This means the processes are described in terms of probabilities. Learning the concepts of statistics, you’ll be able to apply your new knowledge to various application situations.

• Algorithmics
  Understand algorithms and their pivotal role in solving problems. From evaluating software correctness to designing new algorithms to solve real-world applications, you'll gain a solid foundation on the quality and boundaries of algorithms along with an exciting look into the world of parallel computing, probabilistic algorithms, and quantum algorithms.

• Networks and distributed systems
  Dive into the intricacies of digital data transmission, analyse the multi-layered ISO/OSI reference model, compare it with the TCP/IP protocol stack, and unravel different approaches to distributed systems – all while appreciating the challenges and opportunities posed by distributed algorithms and applications.

• Cyber security and data protection
  Explore the key concepts of cyber security, data protection, and cryptography. Learn how to pick the right measures to manage cyber security depending on different situations, while understanding the importance of law and culture in determining attitudes towards data protection across the globe.

• Seminar: computer science and society
  Explore the fascinating relationship between computer science and society, taking a closer look at how the two influence each other. Learn to scientifically analyse the impact of computer science on areas such as ethics, professionalism, data science, and social networks.

• Elective (see electives section below)

• Master thesis
  With the guidance of a supervisor, prepare a written dissertation focused on a major field of study. Scientifically evaluate and critically discuss a chosen issue and suggest possible solutions.

• Software engineering: software processes
  Dive into the exciting world of plan-driven and agile approaches, learn how to model processes, explore different life cycles, and understand the importance of IT governance - all essential to excel in the dynamic field of software engineering.

• Seminar: current topics in computer science
  Make a deep dive into a topic of your choice – such as Java and web development, database systems, or programming languages. Presenting your research findings in a seminar and gaining feedback will strengthen your skills.

• Big data technologies
  This module introduces the four ‘Vs’ of data – and data sources and types. Learn about the most common data storage formats and the challenges large amounts of data pose for underlying infrastructure.

• Artificial intelligence
  How has modern hardware fuelled AI development? What’s the difference between narrow AI and general artificial intelligence? Which industries will most benefit from recent advances? Explore the key questions of humanity’s quest for artificial intelligence.

• Self-arranged internship (*)

  Gain practical experience by securing and completing an internship, applying your knowledge in a real-world setting and developing hands-on skills in computer science.

*You'll be responsible for arranging a suitable internship for your field of study. Once arranged, please complete an application to the internship module via myCampus, to make sure your internship can be recognised and credited towards your course requirements.

You can find more details about your MSc Computer Science course in these PDF files:

• Online programme schedule: MSc Computer Science

• Programme specification: MSc Computer Science

• Once enrolled, you will be expected to meet LIBF's policies and standards.

• LIBF has Taught Degree Awarding Powers (TDAP).

Pursuing a master's in computer science opens up a world of opportunities. With a higher level of understanding and expertise than you develop on an undergraduate course, you can unlock more advanced positions, tackle bigger challenges, and enjoy a higher earning potential, all while working in an exciting, ever-evolving field.

The beauty of an online computer science degree is that it prepares you to succeed in any industry you’re passionate about. Technology is integral to virtually every sector, which means you can apply your skills to diverse roles – from software development, data analysis and AI, to IT project management or even starting your own tech firm. There's a whole world of digital opportunities out there waiting for you to explore.

You'll study in a virtual learning environment that uses the latest learning technology and benefit from innovative multimedia tools and study materials including:

• lecture notes

• learning videos

• revision courses

• online consultations, and

• live sessions with lecturers.

We also incorporate reports and case studies from everyday professional life into our courses.