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MSc ACS: Data and Knowledge Management

UK

9

What will I learn?

Course description

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.

Career opportunities

Students following the Data and Knowlege Management pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in positions requiring an understanding of modern data and knowledge management tools and technologies. This includes data and knowledge engineering positions in all areas where data is stored and managed electronically, i.e., in all areas, including the finance, retail, and healthcare sector.

Which department am I in?

Department of Computer Science

Study options

Full Time (12 months)

Tuition fees
£27,500.00 (US$ 33,832) per year
The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.

This is a fixed fee
Start date

Expected September 2023

Venue

The University of Manchester

Oxford Road,

Manchester,

M13 9PL, England

Entry requirements

For international students

We require a First or strong Upper Second-class honours degree (2:1 with 65% average) from a UK university, or the overseas equivalent, in a Computer Science degree with a minimum of 50% Computer Science content. When assessing your academic record, we take into account your grade average, references and the standing of the institution where you studied your qualification. Applicants with extensive Computer Science industrial experience and a 2:I honours degree in Computer Science, or its overseas equivalent, may also be considered for admission. We also require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills. In order to be accepted onto an MSc programme in the Department of Computer Science, applicants need to provide evidence of having achieved the required level in a recognised English language qualification. IELTS: overall score of 7.0 with no sub-test below 6.0. TOEFL 100 overall with a minimum score of 22 in other elements.

*There may be different IELTS requirements depending on your chosen course.

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