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QS Rank:

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120

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Queen Mary University of London

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London

United Kingdom

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Program Rank

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92

The MSc in Big Data Science at Queen Mary University of London is a premier program designed to equip students with the essential skills and knowledge needed to excel in the rapidly evolving field of data science. This intensive master's program spans over 12 months and comprises a carefully curated curriculum that emphasizes both theoretical understanding and practical application of data analytics. As data continues to drive critical decisions across various sectors, this program stands out for its commitment to preparing students for the demands of the job market, ensuring they graduate ready to tackle real-world challenges.

The curriculum of the MSc in Big Data Science is rich and diverse, covering core topics such as data mining, machine learning, statistical analysis, and data visualization. Students will engage with specialized courses that delve into big data technologies, including Hadoop and Spark, as well as programming languages like Python and R. Additionally, the program offers practical workshops that leverage real datasets, enabling students to gain hands-on experience in data manipulation and analysis. This rigorous academic framework not only enhances their analytical abilities but also fosters critical thinking and problem-solving skills that are indispensable in today’s data-driven landscape.

In addition to a robust curriculum, students have the opportunity to work closely with faculty members who are experts in their fields. The faculty at Queen Mary University of London is renowned for its research contributions and industry expertise, providing students with valuable insights into current trends and methodologies. The teaching methodology employed by the faculty is interactive and student-centric, focusing on collaborative projects, case studies, and real-life problem-solving scenarios. This approach encourages students to engage deeply with the material and apply their knowledge in practical settings, thereby enhancing their learning experience.

Research opportunities abound within the MSc in Big Data Science program. Students are encouraged to participate in ongoing research projects that explore innovative applications of data science in various industries. The university boasts cutting-edge facilities and state-of-the-art laboratories that facilitate this research, allowing students to experiment with the latest tools and technologies in data science. Moreover, students can collaborate with industry partners through research initiatives, gaining insights and networking opportunities that can significantly boost their career prospects.

Industry connections are a pivotal aspect of the MSc in Big Data Science. Queen Mary University of London has established strong partnerships with leading organizations in technology, finance, and healthcare, providing students with invaluable internship and job placement opportunities. The university’s focus on employability is reflected in its impressive graduate outcomes, with a median base salary of approximately £31,130 for graduates. This program not only equips students with theoretical knowledge but also provides them with practical experience that is highly sought after by employers in the data science sector.

The potential career pathways following the completion of the MSc in Big Data Science are vast and varied. Graduates of the program can pursue roles such as Data Engineer, Business Intelligence Analyst, Data Architect, or Machine Learning Engineer, among others. With the increasing reliance on data for decision-making, the demand for skilled professionals in this field is projected to continue to grow, offering students a wealth of job opportunities upon graduation. The program’s strong emphasis on industry relevance ensures that students are well-prepared to navigate their chosen career paths successfully.

Alumni success stories are a testament to the effectiveness of the program. Many graduates have gone on to secure positions in top-tier companies and have made significant contributions to the field of data science. Their experiences highlight the transformative impact of the MSc in Big Data Science at Queen Mary University of London, showcasing the program’s ability to nurture talent and foster professional growth. Testimonials from former students underscore the rich learning environment, the supportive faculty, and the extensive networking opportunities available, all of which contribute to a successful academic and professional journey.

In summary, the MSc in Big Data Science at Queen Mary University of London is not just a degree; it is a comprehensive preparation for a thriving career in one of the most dynamic fields today. With a focus on practical experience, cutting-edge research, and strong industry ties, students are well-positioned to become leaders in data science. If you are looking for an immersive educational experience that combines academic rigor with real-world application, this program is the ideal choice.

Why Study Big Data Science at Queen Mary University of London?

  • A top-ranked program consistently recognized for its academic excellence and innovative teaching.
  • Diverse and inclusive environment with a strong international student community, enhancing cultural exchange and collaboration.
  • Access to state-of-the-art facilities and advanced laboratories that support hands-on learning and research.
  • Opportunities to work closely with distinguished faculty who are leaders in their respective fields and actively engaged in impactful research.
  • Strong industry partnerships that facilitate internships and job placements, ensuring high graduate employability rates.
  • A comprehensive curriculum that integrates advanced data analytics techniques with practical applications.
  • Robust alumni network that provides ongoing support and opportunities for mentorship and professional development.
  • Commitment to fostering independent research and critical thinking, empowering students to become innovative leaders in the field.

To apply for the MSc in Big Data Science, prospective students must meet certain admission requirements, including a recognized undergraduate degree, proof of English language proficiency (minimum IELTS score of 6.5), and submission of relevant documents such as a statement of purpose, resume, degree certificate, and transcripts. With an acceptance rate of 41%, the program seeks individuals who are not only academically qualified but also passionate about the field of data science.

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Total Tuition Fees

$33,500

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Duration

12 Months

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Median Salary

$31,130

Ranking

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#110

US World and News Report

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#117

The World University Rankings

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#120

QS World University Rankings

Class Profile

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Class Size

27

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Average Age

21

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Average Work Experience

1 Years

Diversity

North America:

2%

South America:

1%

Asia:

10%

EU:

12%

Others:

3%

Africa:

3%

UK:

68%

Career Outcomes

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Median Earnings After Graduation

$31,130 / year

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Graduation Rate

93%

Prospective Job Roles

Statistician

Data Engineer

Data Analysis

Business Intelligence Analyst

Database Administrator

Management Consultant

Data Science

Business Analyst

Data Architect

Analytics Manager

Machine learning engineer

Developer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    62

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  • TOEFL

    92

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

    • intake

      Passport

    • intake

      Statement of Purpose

    • intake

      Resume

    • intake

      IELTS

    • intake

      Provisional Certificate

    • intake

      Degree Certificate

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      Semester wise Marksheet

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      General LOR

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      General LOR

    Application Deadlines

    Fees and Funding

    intake

    Tuition Fees

    $33,500 / year

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    Overall Cost

    $49,100 / year

    FAQs

    • To apply for the MSc in Big Data Science at Queen Mary University of London, prospective students must meet the following admission requirements:

      • A recognized undergraduate degree.
      • Proof of English language proficiency, with a minimum IELTS score of 6.5.
      • Submission of relevant documents, including:
        1. Statement of purpose
        2. Resume
        3. Degree certificate
        4. Transcripts

      The program has an acceptance rate of 41%, selecting individuals who not only meet these academic qualifications but also demonstrate a passion for the field of data science.

    • The MSc in Big Data Science is an intensive 12-month program that features a carefully curated curriculum focusing on both theoretical understanding and practical applications of data analytics. The structure includes:

      • Core topics such as:
        1. Data mining
        2. Machine learning
        3. Statistical analysis
        4. Data visualization
      • Specialized courses on big data technologies, including:
        1. Hadoop
        2. Spark
      • Programming languages such as:
        1. Python
        2. R
      • Practical workshops using real datasets for hands-on experience in data manipulation and analysis.

      This robust academic framework aims to enhance students' analytical abilities while fostering critical thinking and problem-solving skills.

    • The teaching methodology for the MSc in Big Data Science at Queen Mary University of London is characterized by an interactive and student-centric approach. Key aspects of the teaching methods include:

      • Collaborative projects that encourage teamwork and peer learning.
      • Case studies that provide real-world context to theoretical concepts.
      • Real-life problem-solving scenarios that enhance practical application of knowledge.

      This approach allows students to engage deeply with the material and apply their learning in practical settings, enriching their educational experience.

    • Graduates of the MSc in Big Data Science have a wide range of potential career pathways available to them. Some of the roles they can pursue include:

      • Data Engineer
      • Business Intelligence Analyst
      • Data Architect
      • Machine Learning Engineer

      With the growing reliance on data for decision-making across various sectors, the demand for skilled professionals in this field is expected to continue to rise. This program’s emphasis on industry relevance ensures that students are well-prepared to navigate their chosen career paths successfully.

    • The MSc in Big Data Science program encourages students to engage in ongoing research projects that investigate innovative applications of data science across various industries. Unique opportunities include:

      • Access to cutting-edge facilities and state-of-the-art laboratories for experimentation.
      • Collaboration with industry partners through research initiatives, providing insights and networking opportunities.
      • Participation in impactful research that can enhance students’ understanding and practical experience in data science.

      These opportunities not only enrich the academic experience but also bolster students' employability and professional development.

    • Queen Mary University of London places a strong emphasis on employability through several key initiatives:

      • Established partnerships with leading organizations in technology, finance, and healthcare, facilitating internships and job placements.
      • Focus on practical experience within the curriculum, ensuring students gain applicable skills highly sought after by employers.
      • Impressive graduate outcomes, with a median base salary of approximately £31,130 for graduates.

      These elements collectively contribute to enhancing students' chances of securing desirable positions in the data science sector upon graduation.

    • Some notable highlights of the MSc in Big Data Science at Queen Mary University of London include:

      • A top-ranked program recognized for academic excellence and innovative teaching.
      • A diverse and inclusive environment with a strong international student community.
      • Access to state-of-the-art facilities and advanced laboratories for hands-on learning.
      • Opportunities to work closely with distinguished faculty who are leaders in their fields.
      • Strong industry partnerships that facilitate valuable internships and job placements.
      • A comprehensive curriculum that integrates advanced data analytics techniques with practical applications.
      • A robust alumni network that provides ongoing support and professional development opportunities.
    • Alumni success stories highlight the transformative impact of the MSc in Big Data Science at Queen Mary University of London. Many graduates have secured positions in top-tier companies and made significant contributions to the field of data science. Testimonials from former students underscore:

      • The rich learning environment fostered by supportive faculty.
      • The extensive networking opportunities available through the program.
      • The program's effectiveness in nurturing talent and promoting professional growth.

      These insights reflect the positive experiences of graduates and the program’s ability to prepare students for successful careers in data science.

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