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Students
Tuition Fee
USD 11,280
Per year
Start Date
Medium of studying
On campus
Duration
8 months
Program Facts
Program Details
Degree
Masters
Major
Data Science | Data Analytics | Computer Graphics
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 11,280
Intakes
Program start dateApplication deadline
2023-09-01-
About Program

Program Overview


Overview

Data Visualisation is an increasingly important part of data science. It aims to bridge the gap between the human and data. It supports human perception and cognition to make sense of data analytics outputs.

We created the PGDip, PGCert, MSc Data Science with Specialisation in Visualisation in collaboration with a number of high profile industry leaders. It aims to address the skills shortage in data analytics.

Our master's in data science brings together students and industry practitioners to develop and translate new technologies into industry practice.

You'll receive a comprehensive grounding in the theory and application of data science. You'll also gain the ability to apply these skills to real problems in a given application area.

Through project work, you'll experience the full lifecycle from design of interactive visualization to experimental evaluation of an advanced visualization approach.

Topics covered in the course include:

  • cloud computing
  • Bayesian statistics
  • machine learning
  • You'll benefit from our substantial expertise in data science. We focus on a wide range of application areas, including:

  • healthcare
  • transport
  • cybersecurity
  • smart cities
  • manufacturing
  • This data science course is part of the following suite:

  • Data Science MSc, PGDip, PGCert
  • Data Science (with specialisation in Artificial Intelligence)
  • Data Science (with Specialisation in Statistics) MSc, PGDip, PGCert
  • READ MORE





    Important information

    We've highlighted important information about your course. Please take note of any deadlines.

    Your course and study experience - disclaimers and terms and conditions

    Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.

    View our Academic experience page, which gives information about your Newcastle University study experience for the academic year 2022-23.

    See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.

    Program Outline

    What you'll learn

    The MSc data science has three phases.

    In phase one you’ll be introduced to core knowledge and skills in statistics and computer science.

    These modules are taught as an intensive block, with two modules taught concurrently for full-time students. Teaching is timetabled to accommodate participants from industry, working alongside full-time employment.

    Phase two will present further advanced technical modules. You'll be introduced to the aspects that underlie all areas of data science practice including:

  • professionalism
  • legislation
  • ethics
  • This phase also includes a group project in collaboration with industry. You'll develop and evaluate a data science solution to a complex, real-world problem.

    Phase three is an individual research and development project. You'll receive personal supervision in one of the School’s research labs in collaboration with industry or with your current employer.

    This MSc forms part of the following suite of data science courses:

  • Data Science MSc, PGDip, PGCert
  • Data Science (with specialisation in Artificial Intelligence)
  • Data Science (with specialisation in Statistics) MSc, PGDip, PGCert

  • Modules

    You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.

    Course content changes

    Module information is intended to provide an example of what you will study.

    Our teaching is informed by research. Course content changes periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.

    Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.

    Optional modules availability

    Some courses have optional modules. Student demand for optional modules may affect availability.

    To find out more please see our terms and conditions.

    Data Science (Visualization) MSc modules

    Compulsory Modules Credits
    Engineering for AI 10
    Data Visualization 10
    Data Management and Exploratory Data Analysis 10
    Data Science in the Wild 10
    Group Project in Data Science 10
    Machine Learning with Project 10
    Complex Data Visualization 10
    Project and Dissertation in Data Science 80
    Statistical Foundations of Data Science 10
    Statistical Learning for Data Science 10

    If you have permission from the Degree Programme Director, you can swap Engineering for AI to take one elective module from the following list:

  • Deep Learning
  • Data and Truth
  • Optional Modules Credits
    Image Informatics 10
    Cloud Computing with Project 10

    Data Science (Visualization) PGDip modules

    Compulsory Modules Credits
    Engineering for AI 10
    Data Visualization 10
    Data Management and Exploratory Data Analysis 10
    Data Science in the Wild 10
    Group Project in Data Science 10
    Machine Learning with Project 10
    Complex Data Visualization 10
    Diploma Project and Dissertation in Data Science 20
    Statistical Foundations of Data Science 10
    Statistical Learning for Data Science 10

    If you have permission from the Degree Programme Director, you can swap Engineering for AI to take one elective module from the following list:

  • Deep Learning
  • Data and Truth
  • Optional Modules Credits
    Image Informatics 10
    Cloud Computing with Project 10

    Data Science (Visualization) PGCert modules

    Optional Modules Credits
    Engineering for AI 10
    Data Visualization 10
    Image Informatics 10
    Data Management and Exploratory Data Analysis 10
    Data Science in the Wild 10
    Group Project in Data Science 10
    Cloud Computing with Project 10
    Machine Learning with Project 10
    Complex Data Visualization 10
    Statistical Foundations of Data Science 10
    Statistical Learning for Data Science 10

    If you have permission from the Degree Programme Director, you can swap Engineering for AI to take one elective module from the following list:

  • Deep Learning
  • Data and Truth
  • SHOW MORE
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