Data Science, MSc
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I am very impressed with the staff and all the facilities and high quality programmes. Everyone we spoke with high quality programmes with Swansea University. Thanks a lot with this very positive impression.
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Master
In Singleton Park
Description
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Type
Master
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Location
Singleton park (Wales)
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Start date
Different dates available
Large data sets are now available in almost all modern activities, and the ever growing amount of data requires new and innovative technologies and well equipped data scientists. The demand for data scientists in the UK has grown exponentially in recent years. Despite rapid expansion by the universities in the past few years, it has been predicted by multitude studies that the industry will continue to experience supply shortage of data scientists..
The programme focuses on three core technical themes: data mining, machine learning, and visualisation. Data mining is fundamental to data science and the students will learn how to mining both structured data and unstructured data. Students will gain practical data mining experience and will gain a systematic understanding of the fundamental concepts of analysing complex and heterogeneous data. They will be able to manipulate large heterogeneous datasets, from storage to processing, be able to extract information from large datasets, gain experience of data mining algorithms and techniques, and be able to apply them in real world applications. Machine learning has proven to be an effective and exciting technology for data and it is of high value when it comes to employment. Students will learn the fundamentals of both conventional and state-of-the-art machine learning techniques, be able to apply the methods and techniques to synthesise solutions using machine learning, and will have the necessary practical skills to apply their understanding to big data problems. We will train students to explore a variety visualisation concepts and techniques for data analysis. Students will be able to apply important concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery. The students also learn important mathematical concepts and methods required by a data scientist d to a range of closely related subject areas, including pattern recognition,...
Facilities
Location
Start date
Start date
About this course
Minimum 2:1 (or equivalent) in Computer Science or a related discipline. Candidates with a 2:2 will be considered if they have relevant background.
IELTS 6.0 (with a minimum of 5.5 in each component) or equivalent English test.
International students: please visit our International pages for information on entry requirements for your country: Africa, South Asia, East Asia, Europe and Russia, Middle East, North America, South America, South East Asia. If your country is not listed within these regions, please contact
Reviews
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I am very impressed with the staff and all the facilities and high quality programmes. Everyone we spoke with high quality programmes with Swansea University. Thanks a lot with this very positive impression.
← | →
Course rating
Recommended
Centre rating
Jill Lueddeke
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 14 years
Subjects
- Data Mining
- IT
- Database
- Datawarehouse
- Communication Skills
- Technology
- Visualisation
- Data security
- Database backup
- Scientific investigation unit
Course programme
Modules
Disclaimer: Module selection options may change.
MSc 1 Year Full-time
Year 1 (Level 7 PGT)
FHEQ 7 Taught Masters / PGDip / PGCert
Students choose 120 credits from the following:
Compulsory Modules
Module CodeSemesterCreditsModule NameCSCM10Semester 1 and Semester 2 (Sep-Jun Taught)15Computer Science Project Research MethodsCSCM27Semester 1 (Sep-Jan Taught)15Visual AnalyticsCSCM35Semester 1 (Sep-Jan Taught)15Big Data and Data MiningCSCM45Semester 2 (Jan - Jun Taught)15Big Data and Machine LearningCSCM70Semester 1 (Sep-Jan Taught)15Mathematical Skills for Data Scientists
Optional Modules
DataScienceOptions
Choose Exactly 45 credits from the following Modules:
Module CodeSemesterCreditsModule NameGuidanceCSCM37Semester 2 (Jan - Jun Taught)15Data VisualizationCSCM39Semester 2 (Jan - Jun Taught)15Human Computer InteractionCSCM58Semester 1 (Sep-Jan Taught)15High Performance Computing in C/C++CSCM67Semester 2 (Jan - Jun Taught)15Graphics Processor ProgrammingCSCM77Semester 1 (Sep-Jan Taught)15Computer Vision and Pattern RecognitionCSCM85Semester 2 (Jan - Jun Taught)15Modelling and Verification TechniquesCSCM98Semester 1 (Sep-Jan Taught)15Operating Systems and Architectures
Year 2 (Level 7 PGT)
FHEQ 7 Taught Masters DissertationCompulsory Modules
Module CodeSemesterCreditsModule NameCS-M20Semester 1 and Semester 2 (Sep-Jun Taught)60MSc Project
Additional information
Tuition fees for years of study after your first year are subject to an increase of 3%.
You can find further information on fees and how to pay on our tuition fees page.
You may be eligible for funding to help support your study. To find out about scholarships, bursaries and other funding opportunities that are available please visit the University's scholarships and bursaries page.
International students and part-time study: If you require a Tier 4 student visa you must be studying full-time. If you are in the UK under a different visa category, it may be possible for you to study part-time. Please see our part-time study and visas page for more information.
Current students: You can find further information of your fee costs on our tuition fees page.
Data Science, MSc