Data Science at Queen Mary University of London UK

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Data Science at Queen Mary University of London UK


Data Science at Queen Mary University of London UK – Highlights

Located in the vibrant city of London, Queen Mary University offers a comprehensive Data Science program that equips students with the skills needed to excel in the fast-evolving field of data science. With a focus on practical applications and cutting-edge research, the course prepares graduates for a variety of career paths in both academia and industry.

The program boasts state-of-the-art facilities, experienced faculty, and strong industry links that provide students with ample opportunities for internships and collaborative projects. Students benefit from the university's strategic location in one of the world's leading financial and technological hubs.


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

Queen Mary University of London stands out for its innovative curriculum that combines theoretical knowledge with practical experience. Students are exposed to a range of topics including machine learning, big data analytics, and artificial intelligence. The university's commitment to research excellence ensures that students are always learning the most up-to-date techniques and methodologies.

  • Strategic location in London, a global tech and finance hub
  • Experienced faculty with industry and academic expertise
  • Strong links with leading companies for internships and projects
  • Access to cutting-edge research and state-of-the-art facilities


Queen Mary University of London Data Science Rankings

Ranking Source Ranking
US News and World Report Top 100
QS Ranking Top 150
THE Ranking Top 200
ARWU Ranking Top 250


Queen Mary University of London Data Science Acceptance Rate

  • The acceptance rate for the Data Science program at Queen Mary University of London is competitive, with a focus on selecting the most qualified applicants.
  • Applicants are evaluated based on their academic background, professional experience, and potential for success in the field of data science.

Bachelor’s Programs:

  • BSc Data Science - This program offers a strong foundation in data science principles, including programming, statistics, and data analysis.
  • BSc Computer Science with Data Science - Combines core computer science courses with specialized data science modules to prepare students for diverse career paths.

Master’s Programs:

  • MSc Data Science and Artificial Intelligence - Focuses on advanced topics in AI and data science, preparing students for high-level research and industry roles.
  • MSc Big Data Science - Emphasizes the techniques and tools needed for managing and analyzing large datasets, with a focus on practical applications.


Admission Requirements to Data Science at Queen Mary University of London UK

Applicants to the Data Science programs at Queen Mary University must meet specific admission criteria, including academic qualifications and proficiency in English.

  • Entry Requirements: Applicants must have a strong academic background in a relevant field and meet the university's entrance exam requirements.
  • Eligibility Criteria: Candidates should have completed their previous education with high grades and possess relevant experience or skills in data science.

Eligibility Criteria: Students must demonstrate a solid understanding of mathematics and programming. Additionally, they should have completed relevant coursework or possess professional experience in data science or related fields.

The university also considers applicants who can show outstanding potential through their extracurricular activities, professional achievements, and other relevant experiences.

Documents Required:

  • Academic transcripts
  • Personal statement
  • Letters of recommendation
  • Proof of English language proficiency
  • CV or resume

Proficiency Test: International students must demonstrate their English language proficiency through standardized tests such as IELTS or TOEFL. The required scores vary depending on the program.

Visa Process:

  • Apply for a Tier 4 (General) student visa
  • Provide a Confirmation of Acceptance for Studies (CAS) from the university
  • Show proof of financial support
  • Submit biometric information and attend a visa interview if required


Cost of Data Science at Queen Mary University of London UK for Indian Students

  • Tuition Fees: The tuition fees for the Data Science programs at Queen Mary University range from £20,000 to £25,000 per year, depending on the level of study and specific course.
  • Cost of Living: Students should budget for living expenses in London, which can range from £12,000 to £15,000 per year, covering accommodation, food, transportation, and other personal expenses.
Expense Cost (per year)
Tuition Fees £20,000 - £25,000
Living Expenses £12,000 - £15,000


Scholarships at Queen Mary University of London UK

Queen Mary University offers a range of scholarships to support international students in financing their education.

  • Chevening Scholarships: Fully-funded scholarships for outstanding students from around the world to pursue a master's degree in the UK.
  • Commonwealth Scholarships: Financial support for students from Commonwealth countries to study in the UK.
  • QMUL International Science and Engineering Excellence Scholarships: Merit-based scholarships for exceptional international students enrolling in science and engineering programs.


Job Prospects for Data Science at UK

Graduates of the Data Science programs at Queen Mary University have access to numerous job opportunities in the UK, thanks to the high demand for skilled data scientists.

  • Data Analyst
  • Data Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence Analyst
Job Role Average Salary (per year)
Data Analyst £30,000 - £45,000
Data Engineer £40,000 - £60,000
Machine Learning Engineer £50,000 - £70,000
Data Scientist £45,000 - £65,000
Business Intelligence Analyst £35,000 - £55,000


FAQs – Data Science at Queen Mary University of London UK

  • What kind of work can I do with a degree in Data Science from Queen Mary University of London?
    Graduates can pursue careers in various fields such as data analysis, data engineering, machine learning, and business intelligence.
  • What are the advantages of studying Data Science at Queen Mary University of London?
    The university offers cutting-edge research, experienced faculty, and strong industry connections, providing a comprehensive education and ample career opportunities.
  • What is the average salary for graduates of the Data Science program?
    The average salary ranges from £30,000 to £70,000 per year, depending on the job role and experience.
  • How long is the Data Science program at Queen Mary University of London?
    Bachelor’s programs typically last three years, while master’s programs are one year in duration.
  • What exams are required for admission to the Data Science program?
    Applicants may need to take entrance exams and demonstrate proficiency in English through tests like IELTS or TOEFL.
  • What are some popular Data Science courses at Queen Mary University of London UK?
    Popular courses include BSc Data Science, BSc Computer Science with Data Science, MSc Data Science and Artificial Intelligence, and MSc Big Data Science.
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Manivannan Posted on 09/04/2024
  • Neha Answered on 09/04/2024

    To study MBA in the USA, you need to follow these steps: 1. Research and select the universities you want to apply to based on your preferences and eligibility. 2. Take the required exams such as GMAT or GRE, and TOEFL or IELTS if you are an international student. 3. Prepare a strong application package including transcripts, essays, letters of recommendation, and resume. 4. Apply to the universities of your choice following their application deadlines and instructions. 5. Upon acceptance, apply for a student visa and make necessary travel arrangements. Please note that the specific requirements and procedures may vary by university, so it is important to carefully review the information provided by each institution.

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