Eligibility Requirements for Durham MSc in Data Science

Durham University Data Science program sets precise eligibility standards for applicants. Prospective students who are seeking admission to Durham University data science courses must meet criteria defined below: 

Criteria Requirements
Academic Qualification First or upper second class honours degree or equivalent in any field without a strong data science component. Social sciences, arts, humanities, business, and sciences degrees accepted.
English Language Proficiency

TOEFL: Minimum 102 IBT with no element under 23.

IELTS: Minimum 7.0 overall with no element under 6.0 or equivalent. If English is not the first language.


Any Any Discipline degree

UG Requirement

Test Scores Requirement


Program Eligibility URL:https://www.durham.ac.uk/study/courses/master-of-data-science-g5k823/#entry-requirements

Durham MSc in Data Science Rankings

About Durham University

Durham University, known for its academic excellence, offers a comprehensive data science program designed to equip students with the skills and knowledge needed in the dynamic field of data analysis and interpretation. The university's commitment to promote a conducive learning environment and staying at the forefront of technological advancements makes its data science offerings noteworthy.

Collegiate System:

Durham University operates a collegiate system, meaning students are affiliated with a specific college within the university.
Colleges serve as academic and social communities, providing a supportive environment for students.

College Facilities:

Each college typically has its own set of facilities, including residential accommodations, dining halls, common areas, and study spaces. Some colleges may have specialized facilities, such as libraries, sports facilities, and computer labs.


Colleges often offer on-site accommodation for students, promoting a close-knit community living experience.
Accommodation styles may vary, including en-suite rooms, shared facilities, and self-catered or catered options.

Academic Support:

Colleges provide academic support through dedicated tutors and support staff. Tutors may offer guidance on academic matters, career advice, and personal development.


Durham MSc in Data Science Program

Durham University stands at the lead of academic innovation, offering advanced programs that address the evolving needs of today's dynamic industries. Durham University Data Science represents this commitment, providing students with a robust foundation in data analysis, machine learning, and statistical modeling. Altered to meet the demands of the rapidly growing field of data science, this program combines theoretical knowledge with practical applications, preparing graduates to excel in a variety of professional roles.

  • The Durham Master of Data Science (MDS) program provides contemporary training in data science.
  • It is designed for individuals with non-quantitative backgrounds, including social sciences, arts, and humanities.
  • The program enables students to acquire skills in accessing, cleaning, analyzing, and visualizing complex data.
  • Introductory modules are followed by advanced topics such as neural networks and deep learning.
  • Optional modules offer a diverse range of choices for students to specialize in specific areas of interest.
  • The MDS includes a research project where students apply learned skills to investigate a specific area of interest.
  • The program addresses the growing demand for skilled data scientists in various industries.
  • Specialized pathways are available in Bioinformatics and Biological Modelling, Digital Humanities, Earth and Environment, Health, and Social Analytics.
  • The interdisciplinary nature of the course reflects the ubiquity of data in various aspects of modern life.
  • The MDS aims to prepare students for careers in data science by providing hands-on experience and practical applications.


Program URL:https://www.durham.ac.uk/study/courses/master-of-data-science-g5k823/

Durham MSc in Data Science Program Curriculum

Program Curriculum URL:https://www.durham.ac.uk/study/courses/master-of-data-science-g5k823/

These are the core courses offered by Durham University Data Science Program listed below: 

  • Introduction to Mathematics for Data Science
  • Introduction to Computing for Data Science
  • Data Science Applications in Archaeology and Heritage
  • Text Mining and Language Analytics
  • Bioinformatics
  • Multilevel Modelling
  • Data Exploration, Visualisation and Unsupervised Learning
  • Health Informatics and Clinical Intelligence
  • Qualitative Approaches to Digital Humanities
  • Computer Music

Core Courses

These are the core courses offered by Durham University Data Science Program listed below: 

  • Introduction to Mathematics for Data Science
  • Introduction to Computing for Data Science
  • Data Science Applications in Archaeology and Heritage
  • Text Mining and Language Analytics
  • Bioinformatics
  • Multilevel Modelling
  • Data Exploration, Visualisation and Unsupervised Learning
  • Health Informatics and Clinical Intelligence
  • Qualitative Approaches to Digital Humanities
  • Computer Music

These are the specialization offered by Durham University Data Science Program listed below: 

  • Bioinformatics and Biological Modelling
  • Digital Humanities
  • Earth and Environment
  • Health
  • Social Analytics

Durham University is not just a center for academic excellence but also a unique community that recognizes the importance of holistic development. Beyond the classroom, students have the opportunity to engage in a wide array of extra-curricular activities that enrich their university experience. Durham university Data Science extra activities are listed below: 

Clubs and Societies:

Durham University hosts a diverse range of clubs and societies catering to varied interests, from sports and arts to academic and cultural pursuits. Joining these groups provides students with a chance to connect with like-minded peers and explore their passions.

Student Publications:

The university encourages students to get involved in various publications, including newspapers, magazines, and online platforms. This offers a platform for students to showcase their writing skills, express opinions, and stay informed about campus life.

Sports and Fitness:

The university places a strong emphasis on sports and fitness. Students can participate in various sports clubs, fitness classes, and intramural leagues. 

Arts and Culture:

Durham's vibrant arts and cultural scene provide students with opportunities to engage in music, theater, and visual arts. 

Volunteering and Community Service:

Durham University actively encourages students to engage in volunteering and community service initiatives. These activities allow students to make a positive impact beyond the campus and contribute to the broader community.

Durham University Data Science commitment to providing a well-rounded education extends beyond the academic field, ensuring that students graduate not only with knowledge in their chosen field but also with a diverse set of skills and experiences that prepare them for a dynamic future. 

Durham MSc in Data Science Acceptance Rate

Acceptance rate for Durham University Data Science is 41%.

Durham MSc in Data Science Fee Structure

Durham university data science fees shown are for one complete academic year of full time study, are set according to the academic year of entry, and remain the same throughout the duration of the program. 

Expenses  Amount
Tuition fee £31,500 
accommodation  £11852


The catering charge will be added to residence charge for the full accommodation charge, with meals provided for 31 weeks (30 weeks for PGCE students) during the academic year. The weekly catering charge is £98 for the 32 weeks of service, averaging £4.67 per meal for the 21 meals provided each week.

Application Documents for Durham MSc in Data Science

Mandatory Application Documents

  • College Transcript

  • Semester Marksheets


    Program Application URL:https://studyatdurham.microsoftcrmportals.com/Account/Login/Register?returnUrl=%2Fapplication-new-application%2F

    Durham MSc in Data Science Deadlines

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    Durham MSc in Data Science Employment

    Durham University Data Science program goes beyond academic excellence, aiming to equip students with the skills and knowledge necessary to thrive in the rapidly growing landscape of data science. A critical aspect of this preparation is ensuring graduates are well-positioned for employment success. 

    Industry-Relevant Skills:

    The Durham University Data Science program is designed to impart not only theoretical knowledge but also practical, industry-relevant skills. Graduates emerge with proficiency in data analysis, machine learning, and statistical modeling, making them attractive to employers seeking well-rounded data scientists.

    Career Counseling and Support:

    Durham University provides comprehensive career counseling services, offering guidance on resume building, interview preparation, and job searching strategies. This support system assists students in navigating the job market effectively.

    Industry Partnerships:

    The program often promotes partnerships with industry leaders, facilitating connections between students and potential employers. 

    Internship Opportunities:

    Internships play a important role in crossing the gap between academia and industry. Durham University's Data Science program actively encourages and supports students in securing internships, providing hands-on experience and exposure to professional data science environments.

    Networking Events:

    The university organizes networking events, bringing together students and professionals in the data science field. These events create opportunities for networking, mentorship, and potential job placements, enhancing students professional connections.


    Average Starting Salary

    Companies Recruiting Durham MSc in Data Science Graduates

    • Amazon
    • Deloitte
    • IBM
    • Microsoft
    • PwC
    • Royal Bank of Scotland
    • Accenture
    • Barclays
    • KPMG
    • Unilever

    Durham MSc in Data Science Alumni Info

    Durham University has a notable list of alumni across various fields, including politics, business, science, and the arts. Here are a few notable individuals associated with Durham University:

    • Tim Farron: Former leader of the Liberal Democrats and Member of Parliament.
    • George Alagiah: BBC news presenter and journalist.
    • Gabby Logan: Sports presenter and television personality.
    • Helen Sharman: The first British astronaut, chemist, and engineer.
    • Sir Peter Vardy: Businessman and philanthropist.
    • Clement Attlee: Former British Prime Minister.

    Letter of Recommendation for Durham MSc in Data Science

    A Letter of Recommendation (LOR) is a document written by someone who knows you well, typically a professor, employer, or mentor, and can attest to your academic and/or professional qualifications. LORs provide insights into your character, achievements, and potential, helping admission committees assess your suitability for a specific academic program.

    Tips for Getting a Good Letter of Recommendation:

    Choose the Right Recommender:

    Select individuals who know you well and can speak to your academic abilities, work ethic, and potential for success in the chosen program. Professors, employers, or mentors who can provide specific examples of your achievements are ideal choices.

    Build Strong Relationships:

    Cultivate meaningful relationships with potential recommenders well in advance. Attend office hours, actively participate in classes, and engage in relevant projects or activities to give recommenders a thorough understanding of your capabilities.

    Request Early and Politely:

    Ask for recommendations well in advance of application deadlines, preferably several months. Be polite and clearly communicate your intentions, providing information on the program and why you believe their recommendation would be valuable.

    Provide Necessary Information:

    Give recommenders detailed information about the program, your academic and professional goals, and any specific qualities or experiences you would like them to highlight. This information helps them personalized the letter to align with your objectives.

    Discuss Your Goals:

    Share your aspirations and the specific aspects of the program you are most interested in. This information can guide recommenders in emphasizing qualities that align with the program's objectives.

    Express Gratitude:

    After submission, express your gratitude to recommenders. Regardless of the outcome, maintaining positive relationships is crucial for potential future interactions.


    Statement of Purpose for Durham MSc in Data Science

    For admission into Durham University's Data Science program, the SOP is essential as it allows applicants to convey their passion for the field, describe how the program aligns with their career goals, and highlight unique qualities that make them stand out. 

    Here are some tips for Writing a Compelling SOP for Durham University Data Science:

    Research the Program:

    Begin by thoroughly researching Durham University's Data Science program. Understand the curriculum, faculty, and unique aspects that distinguish it. Alter your SOP to demonstrate your specific interest in and knowledge of the program.

    Showcase Relevant Experience:

    Highlight your academic and professional experiences that are directly relevant to data science. Discuss any projects, internships, or research work that has equipped you with skills applicable to the program.

    Express Your Motivation:

    Clearly explain why you want to pursue an MSc in Data Science at Durham University. Discuss your passion for the field, specific areas of interest, and how the program aligns with your career objectives.

    Link to Career Goals:

    Connect your academic journey to your future career goals. Demonstrate how the skills and knowledge gained from the program will contribute to your professional development and make you an asset in the field of data science.

    Address Academic Achievements:

    Briefly discuss your academic achievements and how they have prepared you for the precision of a master's program. Mention any relevant coursework, research, or academic projects that showcase your capabilities.

    Edit and Proofread:

    Ensure that your SOP is well-written, free of grammatical errors, and sticks to any specified guidelines. Consider seeking feedback from mentors, colleagues, or friends to refine your statement.

    Durham MSc in Data Science Scholarships available for International Students

    Durham University, renowned for its commitment to academic excellence, offers a range of scholarships to support international students pursuing their education. These scholarships are designed to attract top-tier talent, promotes diversity, and ensure that deserving students have the opportunity to benefit from the world-class education provided by Durham University.

    Scholarship Name Description Eligibility
    Chevening Scholarships (PGT) Tuition fees and stipend for citizens of eligible countries. Citizens of Chevening-eligible countries.
    Commonwealth Masters Scholarships Full international scholarship for low/middle-income Commonwealth. Applicants from eligible Commonwealth countries.
    Commonwealth Shared Scholarships MSc scholarships for citizens/refugees of eligible Commonwealth. MSc scholarships for citizens/refugees of eligible Commonwealth.
    Fulbright - Durham Scholarship Opportunities for U.S. citizens to study in the UK. U.S. citizens.
    Ruth First Scholarship Full international scholarship for Southern African applicants. Applicants from Southern Africa.
    Marshall Scholarship Finance for high-ability U.S. citizens to study in the UK. U.S. citizens.

    What makes Durham MSc in Data Science unique?

    Durham University has long been recognized for its commitment to academic excellence and innovative programs. Durham University Data Science is no exception, standing out as a unique and compelling offering within the academic landscape. Rooted in a tradition of rigorous scholarship and forward-thinking curriculum design, this program blends theoretical foundations with hands-on applications, preparing students for the dynamic and rapidly evolving field of data science.

    Aspect Description
    Interdisciplinary Approach Durham University Data Science welcomes diverse academic backgrounds, fostering collaboration across disciplines.
    Industry-Relevant Curriculum Emphasizes practical projects, ensuring graduates are well-prepared for real-world challenges.
    Cutting-Edge Technologies Durham University Data Science provides access to the latest tools, staying at the forefront of technological advancements.
    Research Opportunities Offers meaningful research experiences, allowing students to contribute to the field of data science.
    Collegiate System Support Benefits from a supportive collegiate system, including academic mentors and industry connections.
    Global Perspective Durham University Data Science incorporates a global outlook, reflected in diverse student backgrounds and global case studies.
    Flexibility and Adaptability Recognizes the dynamic nature of data science, emphasizing adaptability in a changing technological landscape.
    Career Development Durham University Data Science includes initiatives for networking, industry partnerships, and career counseling for successful post-graduate careers.

    What Durham MSc in Data Science values in Applicants?

    Durham University, like many reputable institutions, values a combination of academic excellence, personal qualities, and a potential for contributing positively to the university community. While specific criteria may vary by program and department, here are some general aspects that Durham University typically values in applicants:

    Academic Excellence:

    A strong academic record and evidence of previous achievements are important. This includes high grades, relevant coursework, and standardized test scores.

    Relevant Academic Background:

    A background that aligns with the chosen program or field of study is often valued. This demonstrates a foundation of knowledge and skills relevant to the academic pursuits at Durham University.

    Research or Work Experience:

    Previous research, work experience, or internships in the chosen field can make your application strong. It showcases practical application of knowledge and a commitment to the subject area.

    Passion for Chosen Field:

    Demonstrating a genuine passion for the chosen field of study is important. This can be conveyed through personal statements, letters of recommendation, and experiences that reflect a deep interest and commitment.

    Leadership and Initiative:

    Leadership qualities, involvement in extracurricular activities, and a motivated approach to learning are valued. These qualities indicate a potential for making positive contributions to the university community.

    Durham MSc in Data Science Contact Information

    Useful Links

    Data Science

    Conclusion: Should you apply to Durham MSc in Data Science?

    Deciding whether to apply to Durham University's MSc in Data Science depends on various factors, including your academic and career goals, the program's offerings, and the university's overall fit for you. Here are key considerations to help you make an informed decision:

    Academic Excellence:

    Durham University is known for its academic excellence and precise programs. If you are seeking a high-quality education, the MSc in Data Science may align with your expectations.

    Program Highlights:

    Consider the program's structure, curriculum, and any unique features it offers. Look at whether it covers the specific areas of data science you are interested in and if it integrates practical applications.

    Admissions Criteria:

    Ensure that you meet the program's admission requirements, including educational background and any language proficiency criteria. 

    Career Opportunities:

    Assess the program's reputation for preparing graduates for successful careers in data science. Check if there are partnerships with industry, internship opportunities, or career support services to enhance your post-graduate prospects.

    Research Opportunities:

    If research is important to you, explore whether the program offers meaningful research experiences or opportunities to contribute to the field of data science.

    If you aspire to excel in the rapidly growing landscape of data science while enjoying the enriching academic and cultural environment, Durham University is a strong contender for your educational journey.

    Ask a Question

    Have Queries about Durham University?

    Get Answers from Alums

    I want to become a data scientist...what should I choose in my masters...CS or data science?Or Can I do my masters in CS and become a data scientist ?I'm a CS major !?

    Data Science is an important aspect of many industries because it helps people understand big data and how it can be used effectively in businesses or organisations with the scope of communication and programming. Data science works with structured and unstructured data, which subject matter experts sort to form a product or explanatory analysis. Data Science has advanced technology and made it easier to connect and communicate. Masters in Data Science Course Eligibility:

    English Proficiency Test: IELTS or PTE or TOEFL
    Entrance Exam: GRE and GMAT (depends on the specific university)
    Bachelor’s degree from a relevant university
    Letter of Recommendation
    Over 90% of individuals working in this field pursue an MS in Data Science abroad because the career requires an explicit understanding of the methods, modules, and processes. The Masters of Data Science programme is popular among Indian students due to the broad scope of learning, growth, and career opportunities. The most common university programme is the MSc Data Science or MS Data Science. If you have any further questions just ask me.


    What are the top career options for data analytics and data science?
    Data analytics and data science are often considered as one, but there is a difference. Data science is a vast career, and data analytics is a subset of data science. A large number of people today are inclining toward data analytics and data science careers. Well, there are various reasons for this inclination, such as :

    This is a field where there is a high average salary of individuals. 
    The industry is growing at a fast pace, and there is a huge demand for skilled personnel. 
    There is a lot of room for advancement in a career in this field. 
    So let’s now discuss the various job roles. As I have mentioned that data analytics and data science are two different fields, here are the top two career options for each of them separately. 

    Career options in data analytics: 

    Data analyst: This is the most common job role in the field of data analytics. But it does not mean that this does not have a wide career scope. We have already discussed that this field industry is facing a huge shortage of skilled individuals. The role of a data analyst is to analyze huge chunks of data and maintain databases. 
    Business Intelligence Analyst: Every moment, there is a huge momentum in the market, competitors, customers, anything that may take a huge turn at any moment, and that will have a huge impact on the business and its future. Therefore it is important for a business to analyze these shifts and turns in the market and make correct decisions accordingly. This is where the role of a Business Analyst comes to play. They analyze the shifts in market trends so that management can make appropriate decisions timely. 

    Career options in data science: 

    Data Engineer: This role is within the field of data science so this field will require more technical skills, and the problems will be more complex. The role of a data analyst requires maintenance of databases, the responsibilities of a data engineer are one step ahead. They are also responsible for updating those databases and data structures. 
    Project Manager: Project managers work with a team of data analysts and track their team's efficiency and progress. Project managers also maintain coordination with the data analysts and data scientists to maximize productivity and deliver the best results.

    I am a BCom student will I be able to do MS in data science and data analytics or MBA in business analytics I checked most of them want 4-year UG degree is there any options?

    Yes, you can do an MS in data science and data analytics or MBA in business analytics. Business Analytics possibilities as fundamental companies undertake data-driven, technology-focused methods at some stage in nearly every industry.

    One of the best options is the Wake Forest Master of Science in Business Analytics (MSBA) diploma program. You will find out about the foremost methodologies to have a look at analytics to business enterprise challenges at some stage in a variety of functions, which consist of finance, marketing, operations, and human resources. You will additionally learn about the language of enterprise and how to work correctly in organizations while successfully speaking the effects of your analysis. Graduates of the Wake Forest MSBA software will be equipped with marketable knowledge valued via the usage of the use of pinnacle employers:


    • Ability to turn out to be conscious of and outline commercial enterprise corporation troubles that can be resolved by the use of archives and analytics.
    • Knowledge to determine the excellent analytical methodology to tackle modern company challenges.
    • Expertise in suitable habits precious analyses with a thorough draw close of the methodology and assumptions.
    • Confidence and manageability to correctly talk the outcomes of these analyses to all stakeholders.


    • To be eligible for the MSBA program, you have to keep or be pursuing a bachelor’s diploma from an approved institution.
    • Successful completion of coursework in calculus and records is required.
    • Our utility is designed for modern college graduates with confined or no full-time, post-graduate work experience.

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