MSc ACS: Data and Knowledge Management / Course details
Year of entry: 2020
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Efficient management of data and knowledge are key factors not only to the success of almost any enterprise, but also to the successful handling of today's vast amounts of science related data: with the transition to the information age and the knowledge economy, data has become both increasingly central and critical to all activities. For example, imagine the huge amounts of genomic or patient data available electronically, and how the quality of their management can affect society.
The Data and Knowledge Management pathway allows students to take specialist themes concerned with methods and technologies for the adequate management of data and knowledge. The Managing Data theme focuses on the design, maintenance, and query processing of both structured and unstructured databases. The Learning from Data theme covers principles, algorithms, and technologies underlying machine learning, probabilistic modelling, and optimisation, while exposing students to relevant applications. The Advanced Web Technologies theme provides students with a deep understanding of the technologies that are being used to support the continuing evolution of the Web, including Semantic Web technologies.
Teaching and learning
Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.
Coursework and assessment
Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.
Course unit list
The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.
|Automated Reasoning and Verification||COMP60332||15||Optional|
|Modelling Data on the Web||COMP60411||15||Optional|
|Principles of Digital Biology||COMP60532||15||Optional|
|Introduction to Health Informatics||COMP60542||15||Optional|
|Foundations of Machine Learning||COMP61011||15||Optional|
|Displaying 10 of 17 course units|
|Display all course units|
Additional fee information
- Newly refurbished computing labs furnished with modern desktop computers
- Access to world leading academic staff
- Collaborative working labs complete with specialist computing and audio visual equipment to support group working.
- Over 300 Computers in the Department dedicated exclusively for the use of our students.
- An Advanced Interfaces Laboratory to explore real time collaborative working;
- A Nanotechnology Centre for the fabrication of new generation electronic devices;
- An e-Science Centre and Access Grid facility for world wide collaboration over the internet.
- Access to a range of Integrated Development Environments (IDEs)
- Specialist electronic system design and computer engineering tools.