MSc Data Science (Mathematics)

Year of entry: 2024

Overview

Degree awarded
Master of Science (MSc)
Duration
1 year
Entry requirements

High 2:1 honours degree (or overseas equivalent) 

You are expected to have an undergraduate degree with a substantial amount of mathematics including Probability and Statistics, Calculus or Mathematical Analysis, and Linear Algebra.

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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Explore the new MSc in Data Science

Open days

The University holds regular open days, where you will have the opportunity to find out more about our facilities and courses.   

On this day, you will find out more about the School, our resources, and meet academic and admissions staff who will be able to answer any questions you have.   

For more information, see open days and visits .

Fees

For entry in the academic year beginning September 2024, the tuition fees are as follows:

  • MSc (full-time)
    UK students (per annum): £16,000
    International, including EU, students (per annum): £32,000

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

We offer a number of postgraduate taught scholarships and awards to outstanding applicants, such as the Manchester Humanities International Excellence Scholarship.

The Manchester Alumni Scholarship Scheme offers a £3,000 fee reduction to Manchester alumni who achieved a first-class bachelor's degree within the last three years and are progressing to postgraduate study. 

For more information, see our  Fees and funding page.

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 an undergraduate degree with a substantial amount of mathematics including Probability and Statistics, Calculus or Mathematical Analysis, and Linear Algebra.

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

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.

Other international entry requirements

We accept a range of qualifications from across the globe. To help international students, the university provides specific information for many individual countries. Please see our  country-specific information page   for guidance on the academic and English language qualifications which may be accepted from your country.

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 2024 entry:

Stage 1:   Application received by  8th December 2023 ; Application update by  22nd February 2024

Stage 2:   Application received by  3rd March 2024 ; Application update by  25th April 2024

Stage 3:   Application received by  5th May 2024 ; Application update by  8th June 2024

Stage 4:  Application received by  1st July 2024 ; Application update by  25th July 2024

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 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
Statistics and Machine Learning 1: Statistical Foundations DATA70121 15 Mandatory
Understanding Databases DATA70141 15 Mandatory
Applying Data Science DATA70202 15 Mandatory
Understanding Data and their Environment DATA71011 15 Mandatory
Extended Research Project DATA72000 60 Mandatory
Computation and Complexity MATH63011 15 Optional
Introduction to Uncertainty Quantification MATH64071 15 Optional
Advanced Uncertainty Quantification MATH64082 15 Optional
Linear Models with Nonparametric Regression MATH68011 15 Optional
Time Series Analysis and Forecasting in Finance MATH68032 15 Optional
Generalised Linear Models and Survival Analysis MATH68052 15 Optional
Multivariate Statistics MATH68061 15 Optional
Displaying 10 of 12 course units

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 .