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QS Rank:

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54

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University of Bristol

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Bristol

United Kingdom

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Program Rank

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5

If you want to improve the world through the responsible use of data, the MSc in Data Science will give you the skills to do so. You will learn how to understand, in depth, the computational and statistical principles of modern data science and be skilled at the rigorous and ethical application of these techniques to real-world challenges.

Whether you have a background in numerate sciences, engineering, or computer science, the programme will provide you with the skills to succeed in this exciting and fast-moving discipline. It will equip you with excellent employment prospects to pursue roles in industry as either a data scientist or data engineer as well as for research and development roles.

This MSc aims to:

  • Equip you with the ability to work across disciplinary boundaries in the effective application and deployment of data-intensive solutions in a variety of contexts.
  • Give you a breadth and depth of knowledge and skills in computational, machine learning, and statistical principles and the capability for insightful large-scale data analysis, so you will be able to specify and implement analytical pipelines for real-world data at scale.
  • Provide you with a good understanding of the ethical issues in the application of contemporary data science techniques to real-world challenges, including arguments about the risks, benefits and disadvantages arising from the deployment of these technologies.
  • Enable you to independently initiate data science projects specified at a high-level perspective, leading them from scoping onward to completion, while exercising appropriate project management methods and maintaining stakeholder engagement.

The MSc in Data Science has been co-designed with industrial partners and is highly relevant to rewarding employment opportunities. There is a strong emphasis on responsible innovation and ethics to encourage you to use your knowledge and skills for societal good in the workplace or through further research. The course is closely associated with excellent research in the University, ensuring leading-edge teaching.



Programme structure

You will take either a unit in Software Development: Programming and Algorithms, or, if you already have software development skills, a unit in Statistical Computing.

The remainder of the MSc consists of the following units:

  • Large-Scale Data Engineering
  • Technology, Innovation, Business, and Society
  • Introduction to Artificial Intelligence
  • Introduction to Data Analytics
  • Advanced Data Analytics.

The final unit, a Data Science mini-project, is a group activity which will be aligned, wherever possible, with an external client.

To complete your studies, an individual research or implementation project can be chosen from a selection proposed by project supervisors. This unit provides experience in planning, running, documenting, and presenting a substantial piece of original work. This unit provides a substantial opportunity to integrate material from all taught units and demonstrate the breadth and depth of your learning on the MSc.

Visit our programme catalogue for full details of the structure and unit content for our MSc in Data Science.

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Total Tuition Fees

$34,200

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Duration

12 Months

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Median Salary

$60,000

Ranking

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#86

US World and News Report

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#92

The World University Rankings

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#54

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Average Age

20

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Average Work Experience

2 Years

Language Test Scores

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Minimum Score

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6.5 / 9

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Minimum Score

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88 / 120

Diversity

Africa:

1%

North America:

2%

Asia:

1%

Others:

3%

UK:

85%

EU:

6%

Rest of Europe:

2%

Admissions

Application Deadlines

Fall

RoundDeadlineDecision
Standard DeadlineJune 24NA

Eligibility Criteria

A strong (65%) upper-second class honours degree (or international equivalent) in a numerate science, computer science, or engineering. Examples of acceptable degree titles include, but are not limited to Computer Science, Computing, Mathematics, Statistics, Operations Research, Data Science, Software, Engineering, Psychology, Physics, Chemistry, Genetics, Biology, Neuroscience, Economics, Finance, Accounting, Econometrics, AstroPhysics, Geology / Earth Sciences, Civil, Engineering, Mechanical Engineering, Aeronautical Engineering, Chemical Engineering, Systems, Engineering, Electronic Engineering, Electrical Engineering, Nuclear Engineering, Manufacturing, Engineering, Software Engineering, Mining Engineering or Medicine

We will consider applicants whose grades are slightly lower than the programme's entry requirements, if they have at least one of the following:

  • evidence of significant, relevant work experience;
  • a relevant postgraduate qualification.

If this is the case, applicants should include their CV (curriculum vitae / résumé) when they apply, showing details of their relevant work experience and/or qualifications.

See international equivalent qualifications on the International Office website.

Application Requirements

What Really Matters When Applying

  • Transcript

    Required

  • Academic LOR

    Required

  • Personal Statement

    Required

  • Resume

    Optional

  • TOEFL

    Required

  • IELTS

    Required

  • Degree Certificate

    Required

Essay Question

Question 1

Personal statements should highlight the motivation for applying for the course, and any relevant experience and/or skills.

Career Outcomes

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Median Earnings After Graduation

$60,000 / year

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Graduation Rate

9376%

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Job Placement

94%

Prospective Job Roles

Statistician

Clinical Data Analyst

Healthcare Data Analyst

Data Scientist

Business Analyst

Marketing Manager

Big Data Engineer

Bioinformatician

Data analyst

Top recruiters

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Fees and Funding

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Tuition Fees

$34,200 / year

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Overall Cost

$46,200 / year

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Average Total Aid Awarded

$26,000 / year

Funding Options

Department Funding

Scholarships

These scholarships are provided via the Think Big Scholarship Programme. They are open to all international students applying to the University of Bristol. The scholarship will be used to reduce the cost of your study / tuition fee.

FAQs

  • The average salary for Graduate jobs in Bristol is £25,000. Read on to find out how much Graduate jobs in Bristol pay across various industries and compare against other locations in the UK. We have 29 jobs paying higher than the average Graduate salary!

  • within five weeks of receiving an application

  • Many of our programmes have fixed deadlines. Please check the application deadline for the programme you are applying to, as closing dates vary.

  • One can apply for scholarships to pursue their international education at University of Bristol by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

  • You do not need a GMAT (Graduate Management Admissions Test) score for any application to the University of Bristol.

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