Eligibility Requirements for University of Sheffield Msc Data Science

Admission eligibility criteria for the University of Sheffield MSc data science programs may differ based on the program and degree level. Listed below are some considerations for Msc in DS in UK eligibility in University of Sheffield data science programs:

Requirement Description
Degree

Minimum 2:1 undergraduate honours degree
English Proficiency Score

IELTS: 6.5
TOEFL: 88
PTE: 61


 

No lower GPA

Bachelor's GPA Requirement

Any degree

UG Requirement

Test Scores Requirement

ExamRequirement
6.5

Program Eligibility URL:https://www.sheffield.ac.uk/postgraduate/taught/courses/2024/data-science-msc#entry-req

University of Sheffield Msc Data Science Class Profile

University of Sheffield Msc Data Science Rankings

World University Ranking- QS 2021

104

About University of Sheffield

The University of Sheffield Msc data science has a global reputation for excellence in learning, teaching and research. A masters from Sheffield means in-depth knowledge, advanced skills, and the confidence to achieve your ambitions.

Impactful Contributions: The University of Sheffield underline its influence on communities, policies, partnerships, and the global society through the circulation of ideas and expertise.

Research Excellence: The Research Excellence Framework (REF) 2021 results shows outstanding research quality and its significant global influence, positively affecting lives on a global scale.

Global Reputation: University of Sheffield recognized worldwide for its outstanding research contributions, Sheffield stands as a distinguished research university and a proud member of the esteemed Russell Group. 

International Recognition: The university is committed to tackling societal, environmental, and economic challenges through innovative ideas, cooperative initiatives, and advanced research.

Queen's Anniversary Prizes: Sheffield University has received five Queen's Anniversary Prizes, recognizing outstanding contributions to the nation.

Royal Recognition: The university have notable alumni, including figures such as Lee Child, Jessica Ennis-Hill, and Hilary Mantel, contributing to its rich history and success stories.

University of Sheffield Msc Data Science Program Description

The University of Sheffield Msc data science program offers a advanced educational experience designed to equip students with a great understanding of both the theory and practical applications of data science.

Listed below are the key components of University of Sheffield Data Science program: 

  • Gain comprehensive insights into the theory and practice of data science with a focus on its application in diverse organizational settings.
  • Acquire a foundational set of principles emphasizing the ethical extraction of information and knowledge from data.
    Explore case studies illustrating the practical application of these principles to real-life problems.
  • Program is based around three key aspects: fundamental data-related principles, supporting infrastructures, and organizational context.
  • Develop practical skills in handling both structured and unstructured data, encompassing analysis, visualization, and data mining.
  • Gain hands-on experience with software tools commonly used in real-world settings, including R, Python, SPSS, Weka, and Tableau/Spotfire.
  • Become proficient in understanding algorithms, such as those for data mining or handling 'big data,' and learn when to apply them for organizational benefit.
  • Opportunities for practical application of skills throughout the program, culminating in in-depth research for the dissertation.
  • While prior knowledge of tools like R, Python, SPSS, Weka, or Tableau/Spotfire is not mandatory, it may be advantageous to familiarize oneself with them in advance.

Program URL:https://www.sheffield.ac.uk/postgraduate/taught/courses/2024/data-science-msc

Curriculum Overview

Program Curriculum URL:https://www.sheffield.ac.uk/postgraduate/taught/courses/2024/data-science-msc#modules

Electives courses of University of Sheffield MSc data science program: 

  • Researching Social Media
  • Information Governance and Ethics
  • Big Data Analytics
  • Business Intelligence
  • User-Centred Design and Human-Computer Interaction

Electives

Electives courses of University of Sheffield MSc data science program: 

  • Researching Social Media
  • Information Governance and Ethics
  • Big Data Analytics
  • Business Intelligence
  • User-Centred Design and Human-Computer Interaction

Core courses of University of Sheffield MSc data science program: 

  • Data Visualisation
  • Introduction to Data Science
  • Data Mining
  • Data Analysis
  • Data and Society
  • Database Design
  • Research Methods and Dissertation Preparation
  • Dissertation

Some of the MS in DS in UK Specializations are mentioned below: 

  • Data Science & Big Data
    Computer Science & IT

The University of Sheffield Msc data science offers a rich tapestry of clubs and associations catering to diverse interests and passions, providing students with opportunities for personal growth, skill development, and community engagement. 

  • Art Society: At the University of Sheffield, the Art Society invites students of all skill levels to participate in fortnightly art sessions. Whether you're a seasoned artist or just starting out, these sessions offer a variety of activities including fine art, crafts, and special events with local artists, providing an opportunity for relaxation and creative expression.
  • Book Society: Join the vibrant community of book lovers at the University of Sheffield Book Society. This welcoming group offers a space for like-minded individuals to connect, socialize, and explore an array of captivating reads together, enriching the university experience through shared literary adventures.

  • Technical Services Committee (TSC): The University of Sheffield's Technical Services Committee provides students with the opportunity to engage in technical projects and services. Membership is free, with a short health and safety session required before participation, offering students a chance to gain hands-on experience and collaborate with peers on various initiatives.

  • Computer Science Society: Embrace inclusivity and diversity with the University of Sheffield's Computer Science Society. Open to students from all academic backgrounds, this society hosts a range of events including beginner workshops and social gatherings, fostering a welcoming environment where students can come together to learn, explore, and connect.

The University of Sheffield Msc Data Science program not only prioritizes academic excellence but also recognizes the importance of promoting a holistic learning experience. The university is committed to providing a unique environment that goes beyond the classroom, offering a range of extracurricular activities to complement the academic journey of students in the field of data science. Some of the extra activities are listed below: 

  • SunbYte: High-altitude balloon experiment led by University of Sheffield students.
  • SunrIde: Sheffield University Nova Rocket Innovation Design Engineering project, emphasizing engineering skills and innovation in rocketry design.
  • MarsWorks: Student team focused on designing rovers for Lunar and Mars explorations; formerly known as MoonWorks.
  • SunSat: Aiming to establish the University's first satellite development platform using NASA core flight System software.
  • Avalon: Avalon ROV is a student-led project created for participation in the annual international robotics competition MATE ROV.

University of Sheffield Msc Data Science Acceptance Rate

Acceptance rate for University of Sheffield masters in data science is 14%. 

Tuition Fees

The fee structure for the University of Sheffield Msc data science are under:

Description Amount
International (2024 annual fee) £29,700
UK (2024 annual fee) £11,580

Application Documents Required

Mandatory Application Documents

  • College Transcript

  • IELTS/TOEFL/DTE/PTE

  • GRE

    Program Application URL:https://www.sheffield.ac.uk/postgraduate/taught/apply/applying

    Program Deadlines

    University of Sheffield Msc Data Science Admission Process

    Explore the diverse range of over 200 postgraduate courses offered by the University of Sheffield.
    Identify the specific course that aligns with your academic and career goals.
    Ensure you meet the eligibility criteria, including possessing a 3 or 4-year bachelor's degree from a recognized university.
    Verify that your GPA or Aggregate aligns with the university's requirement of a 2:1 undergraduate honors degree (55-60%).

    Admission Process University of Sheffield MSc data science

    • Collect and scan your academic transcripts and degree/certificates.
    • Prepare a personal statement highlighting your academic and career aspirations.
    • Develop a research proposal if required for your chosen course.
    • Obtain two Letters of Recommendation (LORs), either academic or professional, depending on the course.
    • Compile a work portfolio if applicable.
    • Update your resume or curriculum vitae (CV).
    • Have a copy of your passport ready.

    English Language Proficiency

    • Take an English language proficiency test:
    • IELTS: Achieve an overall score of 7.0, with a minimum of 6.5 in each section.
    • TOEFL iBT: Attain an overall score of 95, with specific minimum scores in Speaking, Listening, Reading, and Writing.

    Online Application Submission

    Visit The University of Sheffield's official website. Navigate to the Postgraduate Online Application portal. Complete the online application form, providing accurate and detailed information. Upload all required documents, including transcripts, personal statement, research proposal, LORs, work portfolio, resume/CV, and a copy of your passport.

    Application Review

    The University of Sheffield will review your application and supporting documents. Ensure that you meet all the specified admission requirements.

    Acceptance and Enrollment

    Accept the offer of admission as per the instructions provided in the offer letter. Follow the enrollment procedures, which may include paying a deposit or completing additional paperwork.

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    Employment Overview

    The employment outlook of University of Sheffield MSc data science in UK is highly promising, with an average MS in DS in UK salary of £39,394 per year reported for Sheffield MSC in DS alumni. Across industries and tech hubs like London, Manchester, and Edinburgh, demand is surging for skilled data scientists.

    Diverse job roles, competitive salaries, and ample opportunities for advancement characterize the landscape. Graduates benefit from industry collaborations, research opportunities, and global mobility, making an MS in Data Science from the UK an attractive pathway to thriving careers in the dynamic field of data science.

    Companies Recruiting University of Sheffield Msc Data Science Graduates

    Top recruiters for University of Sheffield MSc data science are listed below, these companies provide MS in DS in UK jobs: 

    • Deloitte LLP
    • Huawei Technologies
    • National Institute for Health Research
    • Financial institutions in the UK and overseas

    University of Sheffield Msc Data Science Alumni Info

    The University of Sheffield takes pride in its illustrious alumni who have made significant contributions to various fields. The following notable individuals showcase the diverse achievements of the university's graduates, spanning science, literature, sports, journalism, and the arts.

    • Lord David Blunkett: Former MP and Home Secretary, youngest UK councillor at 22, studied BA Politics at Sheffield in 1972.
    • Penny Hughes, CBE: Company Director, chaired major firms like Coca-Cola, Vodafone, and currently chairs The Gym Group and Riverstone.
    • Sir Richard Roberts: Nobel Prize-winning Chemist and Molecular Biologist, researched genes, DNA, and the common cold virus.
    • Amy Johnson: Aviator, BA in Latin, French, and Economics in 1925, first British woman to fly solo from Britain to Australia.
    • Sir Peter Middleton: Former Permanent Secretary of HM Treasury, Chancellor of the University of Sheffield from 1999 to 2015.

    Letter of Recommendation for University of Sheffield Msc Data Science

    LORs are often required as part of the university admission process to provide insights into an applicant's qualifications from an external perspective.

    Here are the Tips for Letter of recommendation at university of Sheffield MSc data science:

    • Choose the Right Recommender:

    Select someone who knows you well and can speak specifically about your academic or professional capabilities.
    Preferably, choose individuals who hold reputable positions or have relevant expertise in your field of study.

    • Establish a Strong Relationship:

    Develop meaningful relationships with your recommenders by actively engaging in class or work, participating in discussions, and seeking advice.

    • Provide Ample Time:

    Request letters well in advance to give recommenders sufficient time to write thoughtful and detailed letters.
    Avoid last-minute requests, as these can result in rushed and less impactful letters.

    • Share Your Goals and Achievements:

    Clearly communicate your academic and career goals with your recommenders.
    Share relevant achievements and experiences that you would like them to emphasize in the letter.

    • Provide Supporting Documents:

    Share your resume, academic transcripts, and any relevant coursework or projects with your recommenders to give them a comprehensive understanding of your qualifications.

    0

    Statement of Purpose for University of Sheffield Msc Data Science

    SOP is a crucial component of the application process, providing admissions committees with insights into the candidate's motivations, aspirations, and suitability for the chosen program.

    Tips for Writing a Compelling SOP for University of Sheffield Data Science:

    • Research the Program:

      Understand the specific aspects of the University of Sheffield's Data Science program that appeal to you. Mention how these align with your academic and career goals.

    • Be Genuine and Personal:

      Share personal experiences and anecdotes that led you to choose data science. Be authentic in expressing your passion and commitment to the field.

    • Connect Past Experiences:

      Relate your past academic and professional experiences to the skills and knowledge required for the Data Science program. Show how these experiences have prepared you for success in the program.

    • Address Weaknesses Appropriately:

      If there are gaps or weaknesses in your academic record, use the SOP to address them honestly and explain any mitigating circumstances.

    • Emphasize Contributions:

      Discuss how you envision contributing to the university community, whether through academic achievements, extracurricular activities, or collaborative projects.
       

    Interview Questions for University of Sheffield Msc Data Science

    Some of the Interview Questions are mentioned below according to their respective category: 

    Opening Questions

    Typically, the initial inquiries tend to be straightforward and can assist you in easing into the interview process. Conversely, a potential employer might request that you deliver a brief presentation at the start of the interview. Utilize this chance to establish a favorable atmosphere.

    1 Tell me about yourself. 
    2 Give a brief description about your undergraduate degree.
    3 How many projects have you worked on? 
    4 What is the most important things you learnt in your previous job?

    Motivational and Skills Question

    1 Why do you want the course?
    2 Why University of Sheffield?
    3 Tell us about a current news story in our industry. How do you think it will affect our Cohort?
    4 What do you think we can learn from our competitors?

     

    Questions Based on Strengths 

    1 What energises you?
    2 What activities come naturally to you?
    3 In your life, what have you done that you are most proud of?

     

    University of Sheffield Msc Data Science Scholarships available for International Students

    The University of Sheffield presents an array of scholarship opportunities aimed at supporting and empowering postgraduate students from various backgrounds to pursue their academic aspirations. 

    Scholarships Offered by the University of Sheffield

    • International Postgraduate Scholarship 2024
    • Allan and Nesta Ferguson Charitable Trust Masters Scholarship
    • Chevening Scholarship
    • Department of Economics Scholarship
    • Gaza-Palestine Postgraduate Taught Scholarship
    • GREAT Scholarship - Egypt
    • GREAT Scholarship - Malaysia
    • MBA Scholarship
    • NCUK Postgraduate Scholarship
    • Professor David Locker Scholarship (Masters in Dental Public Health)
    • Sir Sze-yuen Chung Scholarship
    • Sanctuary Scholarship
    • The University of Sheffield Africa Scholarship
    • External sources of funding

    What makes University of Sheffield unique?

    The University of Sheffield Data Science stands out as a unique and advanced program that goes beyond traditional approaches to data education. Unique in its design and offerings, this program is personalised to meet the demands of the rapidly evolving field of data science. 

    The program has diverse teaching approaches that merge lectures delivered by academic experts and industry professionals, along with seminars, tutorials, small-group activities, and computer laboratory sessions. The focus is on innovative approaches to leverage data for informed decision-making across various domains and organizational challenges. Beyond the structured components, students are encouraged to undertake independent study, huge reading, and research to enhance their coursework.

     

    What University of Sheffield values in Applicants?

    The university seeks students displaying motivation, curiosity, and the necessary academic readiness, along with personal attributes conducive to thriving in the university's learning environment.

    Applications undergo evaluation primarily, though not exclusively, based on previous and anticipated academic accomplishments. Experienced admissions staff, duly trained and possessing the discretion to interpret provided evidence, individually assess each application.

    Factors considered in the evaluation process include:

    • Completed qualifications, encompassing GCSEs, A Levels, and their equivalents.
    • Anticipated grades in forthcoming examinations.
    • Information presented in the personal statement.
    • Referee statements, utilized to affirm academic potential and personal qualities of the applicant.

    University of Sheffield Msc Data Science Contact Information

    Whom should I contact in case of any doubts?

    For any doubts or inquiries regarding the University of Sheffield MSc DS program, you should contact the admissions office at the following

    Email address: informaticschool-admissions@sheffield.ac.uk or by

    Phone: +44 114 222 2646.
     

    Useful Links

    MSc Data Science

    Conclusion

    In conclusion, applying to the University of Sheffield MSc data science program presents a compelling opportunity for aspiring data scientists. With a robust curriculum, expert faculty, and access to cutting-edge resources, the program equips students with the knowledge and skills needed to excel in this rapidly evolving field. 
     
     
      

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    Have Queries about University of Sheffield?

    Get Answers from Alums

    What are the career options for Data Science and Data Analytics differences?
    Well, they are not much different except that data analytics is a part of data science. You can consider them separate based on how significant data analytics is but the jobs and responsibilities all fall under data science. See, it is like a branch of the subject. Just like Mechanical and the Engineering itself.

    I think you would be more satisfied with knowing the basic difference between these two. Maybe you will find something you are looking for this way. So data science is basically finding meaningful correlations between large datasets. Here, it doesn't have to be any specific kind of result or relation. Like even if you find unwanted statistics from a database, it still falls under data science.


    On the other hand, data analytics is used to find specific information. For example, the goal can be finding correlations between different data or maybe just the average values. It basically means that you need data analytics to carry out set tasks and roles. It's a branch of data science that is focused on specific answers to data science questions.


    This must have given you an idea of how their career options differentiate. For example, a data scientist can work as a data analyst, and they will have a wider industry to play with. Whereas for a data analyst, the job roles are more specific. Like you will have directional areas to work with. Let me explain it in a different way. The main points you need to see for a data analyst career are:


    higher average salaries.
    fast-growing industry with skilled workers.
    nice career advancement options

    These are your career options as a data analyst. For data science, you will be free to join more sectors and work in different job roles. Any task and operation related to data fall under data scone. In a data science MS degree, your main concern will be your elective in your final year. They will decide which job you are going to join after graduation. For specifics, these are the points you need to know for a data science career:


    wider subjects to cover like Python, SQL, database etc.
    connected with many other sectors.
    one of the top subjects and professions in undeveloped countries.

    I hope this clears some of your doubts. The jobs in both areas can be the same given the job title. Data experts are very high in demand nowadays and the jobs in these fields are paid handsomely. If you are interested in any branch of data science, I suggest you start building a profile right now. Because most international students are targeting data science courses in universities abroad. Better to be safe than sorry.

    What is the meaning of data science and how is it different from data analytics?

    There are a lot of things that are often considered as same when they are not, such as MiM and MBA, Stock Market and gambling and many more. One of those things is data science and data analytics. Many students still consider these as the same thing and often say that they are going to become a data analyst when they are actually pursuing a data scientist course. 

    In order for you to not do these kinds of blunders, I have mentioned some key differences between a data analyst and a data scientist. So let’s get started with them: 

    In data science, you apply various algorithms, processes., and scientific methods from structured and unstructured data to derive meaningful insights from them. But in data analytics, you process raw data to arrive at the conclusions. 
    Data science is a much more broad scope with many branches and fields. Data analytics has a much narrower scope and is a subset of data analytics. 
    The knowledge and skills needed in data science are much more in-depth than in data analytics.
    Machine learning is used in data science and sometimes it is an essential part of various data science tasks. But data analytics has no relation to machine learning. 
    Some major fields where data science is used are Machine learning, AI, search engine engineering, and corporate analytics. Healthcare, gaming, and travel are some major fields where data analytics is used. 
    So, these were some major differences between data science and data analytics, there are others as well but for the time being, these are sufficient. But no matter what differences are there between the two fields, both data science and data analytics are two sides of the same coin. 

    Would you like to tell me how many of these were you already aware of and how many were new to you?

     

     

    Has 1 year MS from the UK got the same value as that of 2 year MS?

    To understand this, you have to know how a 1-year master of science differs from a 2-year. These are the reasons why students get confused. There is no difference other than the course duration and study method. And rest assured, this doesn't make any change in degree value. Let me explain.


    An MS from the UK is generally a 3-terms course compiled with 180 credits. Now, you can either finish all your necessary objectives in a total given time or earlier. This involves starting with your specialization and leaving out general stuff like curricular, introductory things etc. Many universities use this application to design 1-year MS programs on a separate note.


    Still confused? See, many universities in the UK know that students like to cover their master's program in less time. With time, universities gradually started 1-year MS programs that start with a specialization. It starts from the very beginning of the course. Hence, even if you want side studies and activities, you can not get them. This is for 1-year MS programs only.


    Think of it as your bachelor's. We get to choose an elective in almost the last year of our degree. Unlike diplomas, you get through many topics and fundamentals to choose a concentration. Imagine all those unnecessary subjects you took, and what would be your bachelor's duration if it had been removed from the course?


    Given a 1-year MS program, the class timing also changes. Students in the USA usually take 2-3 hours of classes a day. While students doing a 1-year MS from the UK take 5-hour long classes except for weekends. Even if the side studies have been removed, you can't simply cover an MS program in such a short time. But it is more than okay because students target these short courses just for this particular point.


    A 1-year MS has the same value as a 2-year MS. Global companies are well familiar with UK study methods. If you complete a 1-year MS program from the UK, you will not find any difficulties applying for a job abroad. Of course, it means you have to graduate well. So choose whichever option you like, but consider your interest and comfort. A 1-year MS will be cheaper and completed fast, but it can also put enough pressure that you do not desire.


    The UK is known for providing fast-paced programs. It results in many benefits as well as problems. You get a little relief from your finances and time, but you get less time familiarizing yourself with the foreign industry. I suggest you set your priorities straight. If you need any assistance, I would be happy to help. Sharing your profile to get evaluated will help decide what options are best for you.

    Where should I do my masters?(USA or UK or Australia) I am also confused between this three programs that are Masters in entrepreneurship, Masters in international business , Masters in finance.?

     Hey, Finance has grown to be one of the most popular and profitable industries, with high growth potential and numerous career opportunities. As finance becomes an increasingly important skill to master, several universities offer major and minor courses in the subject. Masters of Finance or MS in Finance programmes in the United States last 10 to 24 months. It is a popular path for international students who want to work in finance. 


    The programme is designed to prepare graduates for positions in corporate finance, financial institutions, investment banking, risk management, capital markets, financial modelling, behavioural finance, econometrics, investment management, and other areas of finance. According to QS Top Universities, 66 universities in the United States offer an MS in Finance. It is a more cost-effective and time-efficient way for students to enter the workforce as finance professionals. Unlike an MBA, an MS in Finance in the United States does not generally require work experience for admission and focuses on financial planning and risk management. 


    The Financial Planning & Advice industry has a market size of $52.9 billion in revenue in 2021. In 2021, it is expected to rise by 3.5%. It has grown 2.1% per year on average over the last five years, from 2016 to 2021. The county has emerged as a great study abroad destination for international students due to its academic excellence. In 2019-20, approximately 1.1 million international students attended university in the United States. If you have any further questions just ask me.

     

    Am I eligible to do an MSc Immunology or MSc Pathology or MSc Public Health from top abroad universities?

    M.Sc. Med. Tech. Pathology or Master of Science in Medical Technology (Pathology) is a postgraduate Pathology program. It is a division of scientific science that deals with diseases' effects, development, approaches, and causes.

    Following are the job profiles related to this field: 

    1. Business Dev Executive - Pathology
    2. Discovery Breeder
    3. Guest Relationship Executive - OP
    4. Health Care Representative
    5. Lab Technician
    6. Pathologist
    7. Pathology Coder
    8. Professor/Associate Professor-Pathology
    9. Research Assistant
    10. Average salary: 1-2 lakh

    Immunology is the branch of Biology that deals with the human body's defense mechanism. After doing guides in Immunology, college students can work on different profiles. 

    Some of the job responsibilities of Immunologists are noted below:

    • Researcher
    • Research Assistant
    • Lecturer
    • Professors
    • Therapist
    • Consultants
    • Health Care Workers
    • Self – Employment
    • Cytotechnologist
    • Average salary: 3-4 lakh

    MSc Cancer Biology gives expert theoretical and practical knowledge of simple molecular, genetic, and organic procedures related to cancer, emphasizing advances in pathology, analysis, and therapy.

    Following are the job profiles associated with this field: 

    1. Microbiologists
    2. Biochemist and biophysicists
    3. Epidemiologist
    4. Natural sciences manager
    5. Average Salary: INR 287k

    So, yes, you are eligible to do an MSc Immunology, MSc Pathology, or MSc Public Health from top universities abroad.

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