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Data Science (Taught)
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MASTERS

Data Science (Taught)

Swansea University
Swansea, Wales
Full-time
€21,981.82/year
2605 Points
Duration
1 Year
Language
English

Program Description

The MSc in Data Science gives you a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. This course focuses on three core technical themes of data mining, machine learning, and visualisation. You study computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity.

Developing research skills is an essential element of the course, enabling you to bring a critical perspective to current data science discipline, and apply it to future developments. You learn how to mine structured data and unstructured data, gaining practical data mining experience alongside a systematic understanding of complex and heterogeneous data.

Conventional and state-of-the-art machine learning techniques will be taught through the application of methods and techniques to synthesise solutions. By the end of the course you will be confident in applying concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery.

Note:
Tuition fees for years of study after your first year are subject to an increase of 3%.

Entry Requirements

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Education
Degree from Greek State Technical Insitute TEI (Ptychio)
6.5
or
Bachelor's Degree
6.5
English Level
Cambridge Proficiency (CPE)
C
or
Cambridge Advanced (CAE)
C
or
International Baccalaureate
5.0
or
A levels
C
or
IGCSE
C
or
TOEFL (internet based)
79
or
IELTS
6
or
Pearson Test of Academic Engl.
56
Required Documents
Certified Copy of the Degree Certificate/Diploma
Certified Copy of the English Certification
ID Certified Copy
Passport Certified Copy
Detailed Transcript
Student Visa
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Notes:

Alternative English Language Qualifications:

  • Swansea ELTS test (SWELT): 6.0
  • INTO English Language Assessment: 169
  • CaMLA - Certificate of Proficiency in English (ECPE): 650
  • Euroexam @ C1 academic level: Pass

Curriculum

Core Modules

Human-Centred Visual Analytics

Mathematical Skills for Data Scientists

MSc Project

Big Data and Data Mining

Big Data and Machine Learning

Computer Science Project Research Methods

Optional Modules

Optimisation

Modelling and Verification Techniques

Operating Systems and Architectures

Abuses, Biases and Blessings of Data

Human Computer Interaction

Computer Vision and Deep Learning

Careers

Completing this MSc considerably enhances your data science career prospects.

Our graduates often progress to rewarding employment within esteemed organisations.

  • Programmer, Evil Twin Artworks
  • Web developer & web support, VSI Thinking
  • Software developer, Wireless Innovations
  • Associate business application analyst, CDC Software
  • Software developer, OpenBet Technologies
  • Software developer, BMJ Group
More

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