MSc Data Science (Computer Science Data Informatics)

Year of entry: 2021

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Overview

Degree awarded
Master of Science (MSc)
Duration
1 year (full-time)
Entry requirements
  • High 2:1 honours degree (or overseas equivalent)

When assessing your academic record we take into account your grades, your academic references, and the standing of the institution where you studied. 

Full entry requirements

How to apply
Apply online

Course options

Full-time Part-time Full-time distance learning Part-time distance learning
MSc Y N N N

Course overview

  • Absorb and focus on data, and what data science can do.
  • Develop your team-working skills, and actively study as part of a dynamic group.
  • Be inspired by what the interdisciplinary course, drawing on five different disciplines, can provide.
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Explore the new MSc in Data Science

Open days

The University hosts open days throughout the year where you can learn more about our courses, facilities, and ask any questions you have.

Fees

For entry in the academic year beginning September 2021, the tuition fees are as follows:

  • MSc (full-time)
    UK students (per annum): £11,000
    International, including EU, students (per annum): £25,000

Further information for EU students can be found on our dedicated EU page.

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Scholarships/sponsorships

The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.

All fees for entry will be subject to yearly review and incremental rises per annum are also likely over the duration of courses lasting more than a year for UK/EU students (fees are typically fixed for international students, for the course duration at the year of entry). For general fees information please visit postgraduate fees .

Self-funded international applicants for this course will be required to pay a deposit of £1,000 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued. This deposit will only be refunded if immigration permission is refused. We will notify you about how and when to make this payment.

Contact details

School/Faculty
School of Social Sciences
Contact name
Debra Hau
Email
Website
https://www.socialsciences.manchester.ac.uk/social-statistics/
School/Faculty

Courses in related subject areas

Use the links below to view lists of courses in related subject areas.

Entry requirements

Academic entry qualification overview

  • High 2:1 honours degree (or overseas equivalent)

When assessing your academic record we take into account your grades, your academic references, and the standing of the institution where you studied. 

English language

Students whose first language or language of instruction is not English may be asked to provide evidence of fluency in English by achieving scores in English language tests, as follows:

  • an overall score of 7 in IELTS, with a minimum of 6.5 in all components; or
  • TOEFL (IBT) score of 100 with a minimum of 26 in all components.
  • TOEFL code for Manchester is 0757.

Please note that CAS statements are issued only when all conditions of the offer have been satisfied, PDF copy of passport received and the offer accepted.

Applicants that do not meet these scores, may be eligible to do a pre-sessional English language course at Manchester (either 6 or 10 weeks), you will be required to successfully complete the course at the required level before you are permitted to register on your academic course.

English language test validity

Some English Language test results are only valid for two years. Your English Language test report must be valid on the start date of the course.

Application and selection

How to apply

Advice to applicants

In your application, you should demonstrate aptitude, knowledge and/or interest in three areas:
  • data analytics and/or statistics;
  • computational subjects;
  • pathway specific requirements.

These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.

Due to high demand for this course, we operate a staged admissions process with selection deadlines throughout the year, as follows:  

  • 1 November (decision by 8 December, accept offer by 15 January)
  • 7 January (decision by 14 February, accept offer by 16 March)
  • 2 March (decision by 8 April, accept offer by 8 May)
  • 4 May (decision by 1 June, accept offer by 1 July)

If we make you an offer, you will have approximately 4 weeks in which to accept. Any offers not accepted by the deadline will be withdrawn so that an offer can be made to another candidate.

All conditional offer holders will have until 1 August to satisfy the conditions of their offer.

You need to ensure that you submit your supporting documents with your online application as it may delay us processing your application.

Whilst we aim to give you a decision on your application by the decision date, in some instances it may be necessary to roll your application forward to the next deadline date. If this is the case, we will let you know after the deadline date.

We can accept your application before you complete your undergraduate studies; please submit your latest transcripts with your online application. 

Please note: 

  • All places are subject to availability and if you apply for one of the later dates, some courses may already be closed, we recommend that you apply early in the cycle.
  • Meeting the minimum entry requirements does not guarantee an offer.
  • If you are a current undergraduate student at The University of Manchester, you may be eligible to apply via the 'Fast-Track' scheme, email pg-soss@manchester.ac.uk for further information.
  • International applicants who will require a visa to study in the UK can obtain up-to-date information online.

How your application is considered

All applicants must submit:

  • an online application form;
  • supporting statement;
  • transcripts of degree;
  • two references.

Overseas applicants will need to submit a satisfactory IELTS certificate (or equivalent) at the time of application. A minimum IELTS overall score of 6.0, with 6.0 in each component.

Applications will not be considered if documents are missing.

Course details

Course description

The range of pathways reflects the interdisciplinary nature of the course and we welcome applications from students with backgrounds in a range of disciplines, including:

  • business and management;
  • health science;
  • social sciences;
  • geography;
  • planning;
  • computer science;
  • mathematics.

We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, you will develop:

  • computational skills;
  • data analytical skills;
  • data stewardship skills and knowledge;
  • project design skills.

Aims

This innovative MSc in Data Science course is an opportunity for graduates from a broad range of disciplines to develop data science skills.

Our goal is to help you develop into an agile, skilled data scientist, adept at working in a variety of settings and be able to meet the challenges and rewards of interdisciplinary teamwork.

Course unit details

Through a set of core units, you will develop a set of key data science skills.

The core units are:

  • Machine Learning and Statistics (both semesters);
  • Understanding Databases;
  • Understanding Data and their Environment;
  • Applications in Data Science.

Course unit list

The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.

TitleCodeCredit ratingMandatory/optional
Principles of Digital Biology COMP60532 15 Optional
Introduction to Health Informatics COMP60542 15 Optional
Data Engineering COMP60711 15 Optional
Representation Learning COMP61021 15 Optional
Text Mining COMP61332 15 Optional
Computer Vision COMP61342 15 Optional

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: dass@manchester.ac.uk

Careers

Career opportunities

The global demand for data scientist talent continues to grow, as a result, our course qualification will provide a strong boost to your employability.

The University has its own dedicated Careers Service that you would have full access to as a student and for two years after you graduate.

At Manchester you will have access to a number of opportunities to help boost your employability .