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Data Science, M.Sc.

Data Science, M.Sc.

  • Anytime
    Application Deadline
  • 12 months
    Duration
University rank #251 (WUR) ,
Data Science programme from Swansea University aims to equip students with a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. 

About

By taking Data Science programme from Swansea University, students will study the computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity. Development of research skills will be an essential element of the programme so that students can bring a critical perspective to current data science discipline and apply this to future developments in a rapidly changing technological environment.

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. A specifically designed module that is accessible to students with different background will cover the basics of algebra, optimisation techniques, statistics, and so on. More advanced mathematical concepts are integrated in individual modules where necessary.

The programme delivers the practical components using a number of programming languages and software packages, such as Hadoop, Python, Matlab, C++, OpenGL, OpenCV, and Spark. Students will also be exposed to a range of closely related subject areas, including pattern recognition, high performance computing, GPU processing, computer vision, human computer interaction, and software validation and verification. 

Careers

  • Data Analyst
  • Data mining Developer
  • Machine Learning Developer
  • Visual Analytics Developer
  • Visualisation Developer
  • Visual Computing Software Developer
  • Database Developer
  • Data Science Researcher
  • Computer Vision Developer
  • Medical Computing Developer
  • Informatics Developer
  • Software Engineer

Programme Structure

Courses include:

  • Computer Science Project Research Methods
  • Visual Analytics
  • Big Data and Data Mining
  • Big Data and Machine Learning
  • Mathematical Skills for Data Scientists
  • Data Visualization
  • Human Computer Interaction
  • High Performance Computing in C/C++
  • Graphics Processor Programming
  • Computer Vision and Pattern Recognition
  • Modelling and Verification Techniques
  • Operating Systems and Architectures

Detailed Programme Facts

  • More details: There is no official deadline for applications but we aim to enrol all new international students as close to the official start of term as possible.
  • Programme intensity

    You can choose to do this programme part-time or full-time.

    Full-time
    • Full-time duration 12 months
    Part-time
    • Average part-time duration 24 months
  • Credits
    60 alternative credits
  • Languages
    • English
  • Delivery mode
    On Campus

English Language Requirements

You only need to take one of these language tests:

  • Minimum required score:

    79

    The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.

    Schedule TOEFL®
  • Minimum required score:

    6

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Schedule IELTS

    StudyPortals Tip: The UK government has confirmed new English-language testing requirements for visa and immigration purposes. Learn more

  • Minimum required score:

    56

    PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. Delivered and marked by computer, it reports on a scale between 10 and 90.

Academic Requirements

You need the following GPA score:

Required score: Upper Second Class

Applicants for graduate programs must have the equivalent of a bachelor’s degree with a minimum GPA equivalent to Upper Second Class on the UK Honour scale. Admitted applicants typically have an undergraduate GPA of or better on the UK Honour scale. No exam grade should be lower than 4.5 (European grade scale) or D (American grade scale).

Your GPA (Grade Point Average) is calculated using the grades that you received in each course, and is determined by the points assigned to each grade (e.g. for the US grading scale from A-F).

  • This programme does not recognise GRE® scores.

    The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. The GRE® General Test contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.

  • 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.

Tuition Fee

  • International Applies to you

    17250 GBP/year
    Tuition Fee
    Based on the original amount of 17250 GBP per year and a duration of 12 months.
  • EU/EEA Applies to you

    8450 GBP/year
    Tuition Fee
    Based on the original amount of 8450 GBP per year and a duration of 12 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Part-time: 

  • EU/EEA - £4.250
  • NON-EU/EEA - £8,650

Living costs for Swansea

  • 727 - 1380 GBP/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Details of funding opportunities and eligibility can be found on the University website.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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