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Students
Tuition Fee
GBP 26,950
Start Date
Medium of studying
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Computer Science | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 26,950
About Program

Program Overview


The MSc Data Science and Advanced Computing program at the University of Reading equips students with in-depth knowledge in data analysis, cloud computing, and machine learning. Accredited by the British Computer Society, it prepares graduates to meet the high demand for skilled data scientists and AI specialists in a rapidly evolving digital landscape. The program emphasizes hands-on experience and provides access to industry-leading facilities and connections with leading tech companies.

Program Outline


Degree Overview:

Join the next generation of data scientists and meet the challenges of the Information Age with our MSc Data Science and Advanced Computing. On this course, you’ll work with experts from the Department of Computer Science to develop in-depth knowledge of:

  • data analysis and data-driven knowledge discovery
  • cloud computing
  • machine learning and artificial intelligence
  • This knowledge is vital. Computer science is driving our digital transformation; it is at the forefront of scientific discovery and the heart of economic growth. Utilising society’s wealth of data requires people who can blend research, technology and ingenuity. Aimed at aspiring data scientists – the sought-after, high-ranking professionals of big data – this course is accredited by the British Computer Society (BCS), the Chartered Institute for IT. The degree has been designed for graduates of computer science and its related disciplines, as well as IT professionals and data analysts. With the exponential growth of data being produced and the rise of automation in the workplace, our MSc Data Science and Advanced Computing course aims to meet the high demand for skilled data scientists and Artificial Intelligence (AI) specialists. The UK Government has identified AI and data as one of the ‘four grand challenges’ of global trends that will transform our future, making our graduates highly valued and sought-after. Your studies will be supported by access to dedicated facilities, which include:
  • a rich software catalogue, plus dedicated computer laboratories, available Monday to Friday 08:00 to 18:00
  • access to the Reading Academic Computing Cluster (RACC), a Linux cluster consisting of 500 CPU cores and several GPU nodes
  • a master’s project/study room, featuring dual monitor PCs, a seating area, and a screen for practising presentations
  • Additionally, Reading has the fourth highest number of digital tech organisations in the UK, beaten only by London, Manchester and Brighton. Take advantage of this by making connections with like-minded industry people at local tech and developer meet-ups. You can raise your own professional profile while solving real-world problems and talking through the latest cutting-edge discoveries and innovations. Several of these companies are actively involved in the development and review of this course. Companies currently participating in our Industrial Advisory Board include Nationwide, Oracle, Sony, Microsoft and IBM. 100% of our research impact has been classed outstanding or very considerable (REF 2021, combining 4 and 3 submissions – Computer Science and Informatics). You will also have access to Reading’s specialist areas of computing research, including:
  • Big data analytics.
  • Applications include remotely sensed data analysis and interpretation, weather forecasting, and communication data stream analysis.
  • Computational vision.
  • Applications include visual surveillance, border control and security, machine learning for image and video-based prediction and classification.
  • Cloud computing.
  • Applications include data security and network security.

Outline:


Compulsory modules

  • Applied Data Science with Python
  • You’ll gain hand-on experience through practical work and simple programming tasks and also develop a set of transferable and professional skills.
  • Artificial Intelligence and Machine Learning
  • Learn current methods in artificial intelligence (AI) and machine learning (ML) and their application using Python programming language. You’ll also be able to formulate research problems, write technical reports and use your knowledge and skills to continue learning and adapting to new data science technologies.
  • Research Project
  • Undertake an original research investigation and acquire the skills needed to carry out your own research and/or data analysis. You’ll be provided the opportunity to develop your own special interest in the field of study as you work on your research project.
  • Big Data and Cloud Computing
  • Understand the concepts and design principles for big data management and advanced, network-centric computing platforms. You’ll also develop key professional skills such as software development documentation and project management, and learn how to clearly communicate data science concepts, solutions and outputs.
  • Data Science Algorithms and Tools
  • Discover data science concepts and principles, data analytics workflow, data mining algorithms, and tools for the design, management and deployment of the knowledge discovery process. You’ll gain hands-on experience of solving data science problems with real-world data, and become adept at team working, problem solving, technical report writing, self-reflection, and effective use of data science software.
  • Data Security and Ethics
  • You’ll examine what ‘acting ethically’ means and how law is created and enforced, supported by a range of case studies related to significant legal and ethical issues.
  • Mathematics and Statistics for Data Science
  • Develop your skills, knowledge and expertise related to key mathematical and statistical concepts to support your learning and engagement with the programme content.

Careers:

The MSc Data Science and Advanced Computing course offers strong career prospects in a world where digital information penetrates almost every aspect of society. The knowledge and skills you will acquire are relevant to the IT and high-tech industries, as well as the majority of industrial and scientific domains. You will also benefit from the KNIME Certification Program, enabling you to develop your skills using a leading industry-relevant Data Science platform. The headquarters of companies such as Microsoft, Oracle, Cisco Systems, Hewlett Packard (HP) and Intel are all within a few miles of our main campus. Local tech employers also visit our Department to deliver guest lectures and attend job fairs. Our graduates are employed in a wide variety of sectors, including finance and government. Some have gone on to work for consultancies or multinational companies, while others have furthered their research at Reading or other institutions.


New UK/Republic of Ireland students:

£12,550


New international students:

£26,950

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