MSc Data Science (Computer Science Data Informatics)

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

• Social Sciences
• Computer Science

High 2:1 honours degree (or overseas equivalent) 

We require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills. We typically expect a First or strong Upper Second class honours degree, or the overseas equivalent, in Computer Science, or in a joint degree with at least 50% Computer Science content. We may consider a lower proportion where a student has performed consistently strongly in their computer science modules. Applicants with extensive Computer Science industrial experience and an honours degree in Computer Science, or its overseas equivalent, may also be considered for admission.

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.

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.

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.

For entry in the academic year beginning September 2026, the tuition fees are as follows:

• MSc (full-time)
  UK students (per annum): £17,300
  International, including EU, students (per annum): £35,200

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

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).

For information on available scholarships please visit: Master’s Fees and Funding

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

• data analytics and/orstatistics;
• computationalsubjects;
• 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 to avoid a delay in processing.

Applications for 2026 entry:

Stage 1: Application received by 7th December 2025 ; Application update by 20th February 2026

Stage 2: Application received by 1st March 2026 ; Application update by 1st May 2026

Stage 3: Application received by 3rd May 2026 ; Application update by 19th June 2026

Stage 4: Application received by 5th July 2026 ; Application update by 31st July 2026

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.

A master’s degree is formed of 180 credits.

120 of these credits are made up by a mix of mandatory and optional course units, worth 15 credits each. You will need to select eight of these course units, with 60 credits taken each semester.

The core units are:

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

Optional course units range from statistical foundations to data engineering and cognitive robotics, preparing you with a varied but strong foundation in data and computer science.

The availability of individual optional course units may be subject to change. Information that is sent to you in August about registration onto the course will clearly state the course units that are available in the academic year ahead.

The remaining 60 credits are awarded through a compulsory research component in the form of a 8500-word extended research project. Your project will mirror a real-world data science investigation, including replication code and an accompanying overview video for stakeholders. Your dissertation must be within the area of one of the course units you have chosen.

Your extended research project is supported by weekly research methodology lectures designed to improve your academic, research and writing skills.

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

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