MSc Data Science (Social Analytics)

Year of entry: 2022

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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) 

You are expected to have a degree with a substantial proportion of social science content; as a minimum you should have completed two degree level units on topics from any of the following: sociology, psychology, anthropology, economics, history, human geography, political science, public health.

The following includes other skills/experience that would increase the chances of being selected:

  • Evidence of applying statistical modelling to social sciences
  • Non-academic experience with the application of statistical models to social issues
  • Experience working on public policy issues or similar

 In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: 

  • data analytics and/or statistics;
  • computational subjects; and
  • pathway specific requirements.

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

Please see our application and selection page for more detailed information.

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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Fees

For entry in the academic year beginning September 2022, the tuition fees are as follows:

  • MSc (full-time)
    UK students (per annum): £15,000
    International, including EU, students (per annum): £27,500

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

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.

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

We offer a number of postgraduate taught scholarships and merit awards to outstanding applicants and international students.

In addition, the Manchester Alumni Scholarship Scheme offers a £3,000 reduction in tuition fees to University of Manchester alumni who achieved a First class Bachelor's degree and are progressing to a postgraduate taught master's course.

For more information, see fees and funding or search the University's postgraduate funding database .

Contact details

School/Faculty
School of Social Sciences
Contact name
School of Social Sciences Admissions Office
Telephone
+44 (0) 161 804 9198
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) 

You are expected to have a degree with a substantial proportion of social science content; as a minimum you should have completed two degree level units on topics from any of the following: sociology, psychology, anthropology, economics, history, human geography, political science, public health.

The following includes other skills/experience that would increase the chances of being selected:

  • Evidence of applying statistical modelling to social sciences
  • Non-academic experience with the application of statistical models to social issues
  • Experience working on public policy issues or similar

 In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: 

  • data analytics and/or statistics;
  • computational subjects; and
  • pathway specific requirements.

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

Please see our application and selection page for more detailed information.

English language

Applicants whose first language is not English should meet the following language requirements:

  • IELTS Academic test score of 7 overall with no component score below 6.5
  • TOEFL IBT 100 with no score below 22 in each section. TOEFL code for Manchester is 0757
  • Pearson Test of English (PTE) score of 76 overall and no component score below 70

You are not required to submit an English language certificate at the time of application, however if you are eligible for an offer it will be subject to meeting our English language requirements.

Pre-Sessional English Courses

We will consider applicants who do not meet these scores but you may be required to complete a pre-sessional English language course at the University of Manchester prior to the start of the course.

To be considered for a pre-sessional English language course for this programme we require the following minimum IELTS (Academic) scores:

6 Week Pre-Sessional Course : IELTS 6.5 overall with 6.0 in each sub-skill  

10 Week Pre-sessional Course : IELTS 6.0 overall with 6.0 in three sub-skills, and 5.5 in no more than one sub-skill  

If you have not yet completed your current academic study and are interested in studying a pre-sessional course, you must hold an IELTS for UKVI (Academic) test certificate to ensure that you are eligible for a separate visa for the English language 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.

Applicants from Majority English-speaking countries

If you are a national of a   majority English-speaking country   (or have studied for a full bachelor's degree or higher from one of these countries) you may be exempt from submitting further evidence of English language proficiency.

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.

Staged Admissions

As there is a high demand for our courses, we operate a staged admissions process with selection deadlines throughout the year. Due to the competition for places and high quality of applications that we receive, we give preference to students from high ranking institutions and with grades above our minimum entry requirements.

Please ensure you submit all supporting documentation with your application before the application deadline to avoid a delay in processing.

Applications for 2022 entry:

Stage 1:   Application received by 3rd December 2021 ; Application update by 10th February 2022

Stage 2:   Application received by 14th January 2022 ; Application update by 10th March 2022

Stage 3:   Application received by 18th March 2022 ; Application update by 12th May 2022

Stage 4:   Application received by 29th April 2022 ; Application update by 16th June 2022

Stage 5: Application received by 1st July 2022 ; Application update by 28th July 2022

Stage 6: Application received by 19th August ; Application update by 31st August 2022

Whilst we aim to give you a decision on your application by the deadline date, in some instances due to the competition for places and the volume of applications received, it may be necessary to roll your application forward to the next deadline date.

Applications received after our final selection deadline will be considered at our discretion if places are still available.

Please note:  All places are subject to availability and if you apply at one of the later stages, some courses may already be reaching capacity or be closed to further applications. We, therefore, recommend that you apply early in the cycle to avoid disappointment.

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 variety of settings and able to meet the challenges and reap the rewards of interdisciplinary team work.

Teaching and learning

Teaching and Learning use multiple modes, including:

  • Lectures
  • Practical exercise
  • Individual and team work
  • Student presentations

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
Programming in Python for Business Analytics BMAN73701 15 Optional
Applied Spatial Analysis for Planning PLAN60761 15 Optional
Survey Research Methods SOST60421 15 Optional
Longitudinal Data Analysis SOST70022 15 Optional
Complex Survey Designs and Analysis SOST70032 15 Optional
Demographic Forecasting SOST70102 15 Optional
Quantitative Evaluation of Policies, Interventions and Experiments. SOST70172 15 Optional
Social Network Analysis SOST71032 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 also 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 .