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4870F - Data Science (with specialisation in Statistics) MSc, PGDip, PGCert

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

Entry Year:

Start in: September 2021

Our MSc Data Science with specialisation in Statistics gives you the knowledge, experience, and expertise to solve real-world problems and realise data-driven insights for organisations.

Overview

This master's in Data Science with specialisation in Statistics blends modern statistical methods together with the associated computational skills that are essential for handling large quantities of unstructured data.

Data Science is revolutionising every area of science, engineering and commerce. It offers the potential for huge societal and economic benefits. We created this MSc Data Science with Specialisation in Statistics to address an industry need for statistical analysis alongside data analytics. Industry needs this mix of analysis skills to interpret and extract information and value from complex data.

Through this course you'll receive a comprehensive grounding in theory and application of data science. You'll also develop the multi-disciplinary combination of skills in statistics and computer science. You'll also gain the ability to apply these skills to real problems in a given application area.

Topics covered in the course include:

  • data visualization
  • 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

Important information

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

Qualifications explained

Find out about the different qualification options for this course.

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. We'll introduce 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:

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.

How you'll learn

Quality and ranking

All professional accreditations are reviewed regularly by their professional body

Facilities

The School of Computing is based in the £58million Urban Sciences Building, a flagship development located on the £350m Newcastle Helix regeneration site in the heart of Newcastle. It brings together:

  • academia
  • the public sector
  • communities
  • business and industry

Find out more about the Urban Sciences Building

Find out more about the Newcastle Helix

Fees and funding

Tuition fees for 2021 entry (per year)

What you're paying for

Tuition fees include the costs of:

  • matriculation
  • registration
  • tuition (or supervision)
  • library access
  • examination
  • re-examination
  • graduation

Some of our degrees involve additional costs which are not covered by your tuition fees.

Find out more about:

  • additional costs
  • living costs
  • tuition fees, including how to pay them and available discounts

Search for funding

Find funding available for your course

Entry requirements

The entrance requirements below apply to 2021 entry.

Qualifications from outside the UK

English Language requirements

How to apply

Using the application portal

The applicant portal has instructions to guide you through your application. It will tell you what documents you need and how to upload them.

You can choose to start your application, save your details and come back to complete it later.

If you’re ready, you can select Apply Online and you’ll be taken directly to the applicant portal.

Alternatively you can find out more about applying on our applications and offers pages.


Apply Online  

Applications for 2022/23
You'll be able to apply for 2022/23 entry from September 2021


Open days and events

Open days

The situation with Covid-19 means that we're unable to hold open days on campus. However, you don’t have to visit in person to experience Newcastle.

From the comfort of your sofa you'll be able to:

  • explore our beautiful campus
  • find out about our vibrant city
  • discover what students think about studying at Newcastle

You'll also have the opportunity to speak to academic staff and find out more about the courses you're interested in.

Find out about upcoming postgraduate open days

Events

We regularly travel overseas to meet with students interested in studying at Newcastle University.

We also hold various online and virtual events.

Visit our events calendar for the latest events

Get in touch

Questions about this course?

If you have specific questions about this course you can contact:

Dr Matthew Forshaw
Degree Programme Director
School of Computing
Matthew.forshaw@ncl.ac.uk

Online

For more general enquiries you could also complete our online enquiry form.

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