Eligibility Requirements for Leeds MSc in Data Science and Analytics

Entry requirements are a crucial aspect of pursuing the highly sought-after University of Leeds MSc Data Science program. We understand that prospective students are keen to embark on this academic journey, so let’s delve into the specifics of what it takes to be eligible for this program.



  • Academic Excellence: This MSc program is renowned for its rigorous curriculum and advanced coursework. To be considered for admission, candidates are expected to showcase a high level of academic achievement. Specifically, applicants should hold a bachelor’s degree with a first-class honors or a high 2:1 classification. Moreover, your undergraduate degree should be in a subject that includes a substantial emphasis on mathematical, statistical, and/or computing components.

  • Exceptional Module Performance: At the University of Leeds, they place great importance on the quality of your academic performance. Therefore, it’s imperative that your key modules exhibit strong grades, preferably with first-class marks and no key module grades falling below a 2:1 classification. University of Leeds MSc Data Science and Analytics understand the significance of these modules in determining your preparedness for the program.

  • Transparency in Module Details: To ensure a comprehensive evaluation of your qualifications, it’s vital that you provide a detailed list of the type and level of mathematical and computing modules you’ve completed. This is especially important if this information isn’t readily apparent on your transcript. We believe in a holistic assessment of your academic background to make informed admission decisions.

  • Degree Restrictions: It’s worth noting that University of Leeds MSc Data Science and Analytics typically do not accept degrees in accountancy or finance for the MSc Data Science program. While these fields are undoubtedly valuable, this particular program is tailored to candidates with a strong foundation in mathematics, statistics, and computing.

  • International Equivalency: For international applicants, it’s essential to ensure that your marks align with international equivalent qualifications. University of Leeds MSc Data Science and Analytics may request further module information if the details on your transcript are not clear. The Admissions Team is readily available to assist with any inquiries and provide guidance throughout the application process.

  • English Language Proficiency: Proficiency in the English language is another key component of eligibility. For non-native English speakers, we require an IELTS score of 6.5 overall, with no component scoring less than 6.0. If you possess alternative English language qualifications, please refer to our English language equivalent qualifications for further guidance.

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    65/100

    Bachelor's GPA Requirement

    Test Scores Requirement

    ExamRequirement
    6.5

    Program Eligibility URL:https://eps.leeds.ac.uk/maths-masters/doc/apply-9

    Leeds MSc in Data Science and Analytics Class Profile


  • Diverse Backgrounds: Data science thrives on diversity, and our class profile reflects this principle. Our students come from a wide range of educational backgrounds, including mathematics, computer science, engineering, and more. This diversity of knowledge and experience enriches classroom discussions and collaborative projects.

  • Global Perspectives: The University of Leeds is a global institution, and our MSc Data Science program attracts students from around the world. This global perspective is invaluable in data science, where solving complex problems often requires a multidimensional outlook. Interacting with peers from diverse cultural backgrounds broadens your horizons and prepares you for a globalized workforce.

  • Varied Career Goals: While our students share a passion for data science, their career aspirations are diverse. Some seek careers in tech giants like Google and Microsoft, while others are drawn to financial institutions, healthcare providers, or startups. The versatility of data science allows our class to explore a wide range of career pathways.

  • A Community of Innovators:  The class profile isn’t just about academic qualifications; it’s about fostering a community of innovators. Students in our program are not content with the status quo; they are eager to push the boundaries of data science, explore emerging trends, and contribute to cutting-edge research.

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    Leeds MSc in Data Science and Analytics Rankings

    QS Top Universities

    201-250

    About University of Leeds

    Located in the vibrant city of Leeds, West Yorkshire, England, the University of Leeds has a stellar history dating back to its establishment in 1874 as the Yorkshire College of Science. Founded on academic rigour and innovation principles, the University of Leeds has undergone significant growth and evolution.



  • Historical Evolution: Yorkshire College of Science's merger with Leeds School of Medicine in 1884 led to a renaming, and the university came to be known as Yorkshire College. Subsequently, in 1887, it joined the prestigious Victoria University federation alongside Owens College (now the University of Manchester) and University College Liverpool (now the University of Liverpool), further solidifying its academic prominence.

  • Royal Charter: In 1904, King Edward VII granted the University of Leeds a royal charter, marking a significant milestone in the university's journey and affirming its commitment to providing high-quality education and research opportunities.

  • Academic Eminence: Based on overall enrollment, the University of Leeds is the eleventh-largest university in the United Kingdom. Its eminence is reflected in the impressive number of more than 67,000 undergraduate applications received yearly. This positions it among the top five universities in the UK, highlighting its significance for aspiring students.

  • Financial Strength: The university's commitment to excellence is reflected not only in its academic standing but also in its financial stability. In fiscal 2021–22, the University of Leeds recorded an impressive income of GBP 924.7 million. Much of this financial strength, GBP 177.3 million, is attributed to research grants and contracts. Moreover, the university boasts substantial financial endowments amounting to GBP 87.4 million in 2022, securing its place within the top-tier British universities regarding financial resources.

  • Distinguished Alumni: The University of Leeds is distinguished due to its history of garnering exceptional graduates who have made impactful contributions to society. Eminent alumni include the present Leader of the Labour Party, Keir Starmer; former Home and Foreign Secretary, Jack Straw; former co-chairman of the Conservative Party, Sayeeda Warsi; NASA astronaut, Piers Sellers; and six Nobel laureates. This remarkable lineup of accomplished individuals underscores the university's dedication to nurturing talent and promoting excellence.


    • Choosing the University of Leeds for your academic journey means becoming an integral part of an esteemed legacy of excellence, where the institution's rich history converges with ongoing achievements in academia, research, and the development of exceptional individuals who actively contribute to shaping the world.

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    Leeds MSc in Data Science and Analytics Program Description

    If you're aspiring for an MSc in Data Science and Analytics, prepare for an exciting blend of computer science and math. You will dive into healthcare, business, government, and environmental data challenges.


    The MSc Data Science and Analytics degree offers you the opportunity to develop a range of relevant skills, including:



  • Analysing structured and unstructured data

  • Analysing large datasets

  • Critically evaluating results in context

  • Getting insights from data


    • The course combines expertise from the Schools of Computing, Geography and Mathematics with that of Leeds University Business School.


    This collaboration allows the students to benefit from various data science perspectives and applications, allowing them to tailor the course to match their career ambitions.


    Course highlights




    • In shaping its courses, the University is guided by influential research in probability, financial mathematics, and modern applied statistics; this approach ensures that students receive a high-quality education with a strong emphasis on analysis




    • Access to modern facilities and computing equipment throughout the school, complemented by social areas, community problem-solving spaces and quiet study rooms




    • Benefit from the school's close links with organisations like Leeds Institute for Data Analytics, Leeds Institute for Fluid Dynamics and the Alan Turing Institute




    • A diverse and supportive community of mathematicians from all over the world



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    Program URL:https://courses.leeds.ac.uk/i071/data-science-and-analytics-msc

    Leeds MSc in Data Science and Analytics Program Curriculum

    Program Curriculum URL:https://webprod3.leeds.ac.uk/catalogue/dynprogrammes.asp?Y=202324&P=MSC-DS%26A


  • Information Visualization - 10 credits

  • Knowledge Representation and Reasoning - 15 credits

  • Machine Learning - 15 credits

  • Deep Learning - 15 credits

  • Programming for Data Science - 15 credits

  • Data Mining and Text Analytics - 15 credits

  • Geographic Data Visualisation & Analysis - 15 credits

  • Geode graphics Neighbourhood Analysis - 15 credits

  • Big Data and Consumer Analytics - 15 credits

  • Predictive Analytics - 15 credits

  • Applied GIS and Retail Modelling - 15 credits

  • Business Analytics and Decision Science - 15 credits

  • Forecasting and Advanced Business Analytics - 15 credits

  • Machine Learning in Practice - 15 credits

  • Mixed Models - 10 credits

  • Linear Regression and Robustness - 15 credits

  • Statistical Theory - 15 credits

  • Time Series - 10 credits

  • Generalised Linear Models - 10 credits

  • Mixed Models with Medical Applications - 15 credits

  • Linear Regression, Robustness and Smoothing - 20 credits

  • Statistical Theory and Methods - 15 credits

  • Statistical Learning - 15 credits

  • Multivariate Methods - 15 credits

  • Multivariate and Cluster Analysis - 15 credits

  • Time Series and Spectral Analysis - 15 credits

  • Generalised Linear and Additive Models - 15 credits

  • Statistical Computing - 15 credits

  • Transport Data Science - 15 credits

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    Electives

    • Information Visualization - 10 credits
    • Knowledge Representation and Reasoning - 15 credits
    • Machine Learning - 15 credits
    • Deep Learning - 15 credits
    • Programming for Data Science - 15 credits
    • Data Mining and Text Analytics - 15 credits
    • Geographic Data Visualisation & Analysis - 15 credits
    • Geode graphics Neighbourhood Analysis - 15 credits
    • Big Data and Consumer Analytics - 15 credits
    • Predictive Analytics - 15 credits
    • Applied GIS and Retail Modelling - 15 credits
    • Business Analytics and Decision Science - 15 credits
    • Forecasting and Advanced Business Analytics - 15 credits
    • Machine Learning in Practice - 15 credits
    • Mixed Models - 10 credits
    • Linear Regression and Robustness - 15 credits
    • Statistical Theory - 15 credits
    • Time Series - 10 credits
    • Generalised Linear Models - 10 credits
    • Mixed Models with Medical Applications - 15 credits
    • Linear Regression, Robustness and Smoothing - 20 credits
    • Statistical Theory and Methods - 15 credits
    • Statistical Learning - 15 credits
    • Multivariate Methods - 15 credits
    • Multivariate and Cluster Analysis - 15 credits
    • Time Series and Spectral Analysis - 15 credits
    • Generalised Linear and Additive Models - 15 credits
    • Statistical Computing - 15 credits
    • Transport Data Science - 15 credits
    • Data Science - 15 credits
    • Learning Skills through Case Studies - 15 credits
    • Dissertation in Data Science and Analytics - 60 credits
    • Mathematics
    • Computer Science
    • Data Science & Big Data

    At the University of Leeds MSc Data Science program, students get involved in various clubs and associations that provide opportunities to connect, learn, and grow beyond their academic pursuits.

    • Data Science Society: The Data Science Society at the University of Leeds is the epicentre of all things data-related. This student-led organisation is dedicated to fostering a community of data enthusiasts.
    • Tech Talks and Workshops: The University of Leeds organise regular tech talks and workshops, often collaborating with industry experts. These events provide invaluable insights and hands-on experience, allowing the students to sharpen their skills and stay ahead of the curve.
    • Social and Cultural Clubs: The University of Leeds offers many social and cultural clubs where students can connect with fellow students, share experiences, and celebrate cultural diversity. These clubs provide a well-rounded university experience.

    Students at the University of Leeds get involved in diverse extracurricular activities to enrich their academic journey and balance learning and leisure.

    • Data Hackathons: Participating in data hackathons is an exhilarating way to apply data science skills in real-world scenarios. These intensive competitions challenge problem-solving abilities, data analysis techniques, and teamwork. The University of Leeds regularly organises and participates in data hackathons, allowing students to showcase their talents and learn from peers.
    • Guest Lectures: The commitment to providing a comprehensive education extends to the lecture hall. The University of Leeds invites esteemed guest speakers from various industries to share their insights and experiences with their students. These guest lectures offer a unique perspective on the practical applications of data science and provide valuable networking opportunities.
    • Data Science Meetups: The program facilitates regular data science meetups where the students can interact with fellow students, faculty, and industry professionals. These gatherings foster a collaborative environment for learning and idea sharing.
    • Research Projects: For those passionate about research, the program offers opportunities to engage in cutting-edge projects. Often collaborating with faculty or industry partners, these projects allow the students to delve deep into data science research. It’s a chance to contribute to the field’s advancement and gain hands-on research experience.

    Leeds MSc in Data Science and Analytics Acceptance Rate


  • The MSc Data Science and Analytics program at the University of Leeds has a competitive 57% acceptance rate, providing a gateway to cutting-edge data science education.

  • With affordable living options in Leeds, the university stands out for its strong career support and a wide range of programs, making it a compelling choice for aspiring students.

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    Leeds MSc in Data Science and Analytics Fee Structure




    Fees
    Amount(£)


    Tuition
    31750 GBP


    Application Fees
    No Fee



    This is the total fees structure for University of Leeds MSc Data Science and Analytics

    Application Documents for Leeds MSc in Data Science and Analytics


  • If you have completed your degree, you will need to provide official evidence of your final overall %; the University of Leeds does not use the GPA.  Please include your full transcripts and any grading scales (they may be on the reverse of your degree documents) with your application.

  • Your Standard XII may be acceptable as an English language qualification. If you have achieved 70% or greater, please include a copy with your application.

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    Mandatory Application Documents

    • Passport

    • 10th Marksheet

    • 12th Marksheet

    • College Transcript

    • Semester Marksheets

    • Consolidated Marksheets

    • Graduation/Provisional Certificate

    • IELTS/TOEFL/DTE/PTE

      Leeds MSc in Data Science and Analytics Deadlines

      University of Leeds MSc in Data Science and Analytics Admission Process


      • Online Application: The admission process begins with an online application. Visit the official University of Leeds MSc Data Science program page and follow the instructions to submit your application. Ensure that you provide accurate and complete information, as this forms the basis for the initial evaluation.

      • Academic Qualifications: Your academic qualifications play a vital role in the admission process. As mentioned in our class profile, we typically require a bachelor’s degree with a first or high 2:1 (Hons) honors in a subject containing a substantial mathematical, statistical, and/or computing component. Be prepared to submit your academic transcripts as part of your application.

      • English Language Proficiency: For international applicants whose first language is not English, proof of English language proficiency is required. The University of Leeds typically requires an IELTS score of 6.5 overall, with no less than 6.0 in all components. Other English language equivalent qualifications are also accepted.

      • Statement of Purpose: Your statement of purpose is an opportunity to showcase your passion for data science and your reasons for choosing the University of Leeds MSc Data Science program. Clearly articulate your academic and career goals, as well as how this program aligns with them.

      • Letters of Recommendation: Most often, you will be required to provide letters of recommendation from academic or professional referees who can attest to your qualifications and potential as a data science student.

      • Interviews (if necessary): In some cases, applicants may be invited for an interview as part of the selection process. This is an opportunity for the admissions committee to learn more about your motivations and aspirations.

      • Admission Decision: Once your application is complete and has undergone a thorough review, you will receive an admission decision. If you are accepted, congratulations! You will receive detailed instructions on how to confirm your place and complete the enrollment process.

      • Enrollment and Visa: If you’re an international student, you’ll need to complete additional steps related to enrollment and visa requirements. The University of Leeds provides comprehensive support to international students to facilitate a smooth transition.

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          RoundDeadline
          Round 1
          22nd November '23
          Round 2
          09th February '24
          Round 3
          19th April '24
          Round 4
          28th June '24

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        Leeds MSc in Data Science and Analytics Employment

        Recognised among recruiters' top 10 most targeted UK universities, the University of Leeds ensures strong career prospects. Graduates can explore roles across diverse industries like data scientists, analysts, or business analysts. The program's well-rounded curriculum combines expertise from various university schools, preparing students for dynamic careers in the evolving field of data science and analytics.



        There's a rising demand for professionals adept at managing and interpreting data across sectors like healthcare, business, government, and the environment. Graduates skilled in computer science, mathematics, and data analytics are highly sought after in today's competitive job market. In the era of 'big data,' the ability to handle and interpret vast amounts of information effectively is crucial.



        Pursuing an MSc in Data Science and Analytics from the University of Leeds unlocks many career opportunities in a rapidly evolving field where skilled professionals are increasingly valued across industries.

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        41,142

        Average Starting Salary

        Companies Recruiting University of Leeds MSc in Data Science and Analytics Graduates


      • Tech Giants: Companies like Google, Microsoft, and Amazon are eager to tap into the expertise of the University of Leeds graduates in data science and machine learning.

      • Financial Institutions: Leading banks and financial institutions, such as J.P. Morgan, Barclays, and HSBC, value the analytical skills and insights the University of Leeds graduates bring to finance.

      • Healthcare Providers: With the growing importance of data in healthcare, organisations like the NHS and pharmaceutical companies actively seek University of Leeds graduates to help drive advancements in medical research and healthcare analytics.

      • Technology Startups: The startup ecosystem greatly values the innovation and problem-solving abilities University of Leeds graduates bring. Joining a startup can offer exciting opportunities to shape the future of technology.

      • Consulting Firms: Management and strategy consulting firms like Deloitte and McKinsey recognise the value of data-driven decision-making and actively recruit the University of Leeds graduates for their analytics teams.

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        Leeds MSc in Data Science and Analytics Alumni Info


      • Eugenia Balysheva  (MA Communications Studies 2008)  and Bruno Sanguinetti (PhD Physics 2009) – Founders, Dotphoton

      • Adam Beaumont (Colour Chemistry 1993, PhD 1996) – CEO, aql

      • Nick Edmunds (Pharmacology 1995) – Chief Technical Officer, Mission Therapeutics

      • Anna Ekeledo (MSc International Marketing Management 2012) – Executive Director, AfriLabs

      • Kyriakos Eleftheriou (MSc Electronic & Electrical Engineering 2016) – CEO and cofounder, Terra; Forbes 30 under 30 Europe

      • Anthony Eskinazi (Mathematics 2005) – Founder and CEO, JustPark

      • Ian Harris (MSc Computing 1996) – Founder and CEO, Search Laboratory

      • Andrew Herbert OBE FREng (Computational Science 1975) – Chair, National Museum of Computing

      • John Hughes (Computer Science 1989, PhD Computing 1994) – Visual special effects designer, Hollywood

      • David Jefferies (Computer Science 1996) – Director of Technology, PaperSeven Games Design

      • Paul Jones (Computing 1990) – Head of Technology, SAS UK and Ireland

      • Olga Kubassova (PhD Computing 2008) – Founder and CEO, Image Analysis Group

      • Alison Lowndes (Computing 2015) – Senior Scientist, Global AI, NVIDIA

      • David Moss (Mathematics 1997), Alastair Bathgate (MBA 1997) – Cofounders, Advisors, Blue Prism

      • Juan Flores Preciado (PhD Mechanical Engineering 2010) – Lead Materials and Process Engineer, SpaceX

      • Stuart White (Computational Science and Management Studies 1992) – Studio Head, PlayStation London

      • Kareem Yusuf (PhD Civil Engineering 1998) – General Manager, AI Applications, IBM

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        Leeds MSc in Data Science and Analytics Scholarships available for International Students

        A master's degree is a major commitment to one's education and future professional path. The MSc Data Science program at the University of Leeds acknowledges the value of assisting capable students in their educational pursuits. This is why various scholarships are available to reduce financial pressures and enable deserving students to grow in data science.



      • Merit-Based Scholarships
        The merit-based scholarships are a testament to commitment to academic excellence. These scholarships are awarded based on academic merit, recognising exceptional performance in previous studies.

      • Diversity and Inclusion Scholarships: Diversity is a source of strength in data science, bringing together individuals with unique perspectives and backgrounds. University of Leeds MSc in Data Science believes that fostering inclusivity is a moral imperative and an essential driver of innovation in data science.

      • Research Scholarships: For those with a keen research interest, these scholarships are often linked to specific research initiatives within the University of Leeds MSc Data Science program. They enable students to work closely with faculty on research that contributes to the advancement of data science.

      • Financial Need-Based Scholarships: University of Leeds MSc in Data Science Financial need-based scholarships are designed to assist students facing financial challenges. These scholarships ensure that deserving individuals have access to quality education regardless of their financial situation.

      • Corporate Scholarships: These scholarships are often tied to internship opportunities with the sponsoring organisations, providing students with a unique pathway to financial support and practical experience.

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        What makes Leeds MSc in Data Science and Analytics unique?

        Let’s delve into what makes this program truly unique and a compelling choice for those aspiring to master the art and science of data.



      • Unique Curriculum: The University of Leeds MSc Data Science program's uniqueness lies in its curriculum. It reflects the dynamic nature of the data science field. It goes beyond the basics, delving deep into advanced topics such as machine learning, data analytics, and data visualisation.

      • Real-World Applications: The University of Leeds program strongly emphasises hands-on experience, allowing the students to engage in real-world projects and collaborate with industry partners to solve complex data challenges. This experiential learning approach equips graduates with the skills and confidence to excel in their careers from day one.

      • Diverse and Accomplished Faculty: Another distinguishing feature is the program’s faculty. Comprising accomplished researchers and industry experts, the faculty members bring a wealth of practical knowledge to the classroom. Their diverse backgrounds and experiences enrich the learning environment, providing students a holistic understanding of data science.

      • Research Opportunities: The University of Leeds is renowned for its commitment to cutting-edge research. This culture of innovation extends to the MSc Data Science program. Students can engage in groundbreaking research, exploring emerging trends and technologies in data science. This exposure to the forefront of the field empowers graduates to shape the future of data science.

      • Industry Connections: The program’s strong ties with industry are vital to its uniqueness. The University of Leeds has forged partnerships with leading companies and organisations, offering students access to internships, networking opportunities, and potential employment pathways. This industry integration ensures that graduates are academically proficient and industry-ready.

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        Leeds MSc in Data Science and Analytics Contact Information

        Whom should I contact in case of any doubts?

        If you're ready to dive into the world of data science and shape your future, don't hesitate to reach out. For more information and queries about the MSc Data Science and Analytics program, contact the university's admissions office at maths-msc@leeds.ac.uk. This is your opportunity to enter a vibrant academic community dedicated to excellence in data science education.

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        Useful Links

        University of Leeds MSc Data Science and Analytics

        Conclusion: Should you apply to Leeds MSc in Data Science and Analytics?

        The decision to pursue a master’s degree is significant, and selecting the right program is pivotal to your academic and professional journey. As we wrap up our exploration of the University of Leeds MSc Data Science program, it’s time to reflect on whether this program fits you.



      • A World-Class Education: The University of Leeds MSc Data Science program is synonymous with excellence. With a rigorous curriculum, renowned faculty, and state-of-the-art resources, it provides a world-class education that equips you with the skills and knowledge needed to excel in data science.

      • Industry Connections: The program’s strong ties with industry leaders offer unparalleled internships, networking, and job placement opportunities. If you’re looking to launch or advance your career in data science, these connections can be your gateway to success.

      • Financial Support: The scholarships and financial aid options make pursuing a master’s degree in data science accessible to many students.

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