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Students
Tuition Fee
Per year
Start Date
Medium of studying
On campus
Duration
Program Facts
Program Details
Degree
Diploma
Major
Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2023-09-01-
About Program

Program Overview


Overview

If you're already working within data analytics, business planning and IT you'll be suitable for this course.

You'll use a combination of technical and soft skills throughout this Digital and Technology Solutions Degree Apprenticeship. Subject to COVID-19 restrictions, you'll have extensive on-the-job training. You'll become an expert in your field so you can take your career to the next level.

This course meets the needs of the apprenticeships scheme. It is designed to the Data Analytics Specialism of the Digital Technology Solutions Level 7 integrated degree standard.

All apprenticeships in the School of Computing have been created by the Institute of Coding (IoC). The IoC is a government-funded project to help close the digital skills gap. The MSc has also been created in consultation with industry. This ensures you develop the skills needed to succeed in today’s workplace.

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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

Through compulsory modules you'll cover:

  • data visualisation
  • data management and exploratory data analysis
  • big data analytics
  • machine learning
  • statistical foundations of data science
  • statistical learning for data science
  • leadership and change in the digital age
  • digital technology and innovation management
  • You'll carry out:

  • strategic case studies
  • a Capstone project undertaken with your employer

  • 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.

    Digital and Technology Solutions (Data Analytics Specialist) MSc modules

    Compulsory Modules Credits
    Capstone Project for Data Analytics Degree Apprenticeship 60
    Strategic Case Studies 20
    Big Data Analytics 10
    Data Visualization 10
    Data Management and Exploratory Data Analysis 10
    Machine Learning with Project 10
    Statistical Foundations of Data Science 10
    Statistical Learning for Data Science 10
    Digital Technologies and Innovation Management 20
    Leadership and Change in a Digital Age 20

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