MSc Data Science

Bristol - Clifton

 

INTAKE: September

Program Overview

The MSc Data Science program at the University of Bristol is designed to equip students with advanced skills and knowledge in data science, statistical analysis, and machine learning. This program is designed for individuals who have a strong quantitative background and a keen interest in working with large and complex data sets. The program provides students with a comprehensive understanding of data science concepts, methods, and tools, and enables them to apply this knowledge to real-world problems.

The program is taught by experienced academics and industry professionals who are experts in the field of data science. Students will have the opportunity to work on real-world data science projects, gaining valuable experience and building a strong portfolio of work. The program also provides opportunities for students to engage with industry professionals through guest lectures, industry visits, and internships.

Upon completion of the program, graduates will be well-equipped to pursue a variety of career paths in data science, including roles such as data analyst, data scientist, machine learning engineer, and business analyst. They will also have the opportunity to further their studies through PhD programs in data science or related fields.

The MSc Data Science program at the University of Bristol provides students with a rigorous and comprehensive education in data science, preparing them for exciting and rewarding careers in this rapidly growing field.

Pollster Education

Location

Bristol - Clifton

Pollster Education

Score

IELTS:6.5

Pollster Education

Tuition Fee

£ 30500

  • Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 65% or equivalent.
  • English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
    • IELTS: A minimum overall score of 6.5 with no individual component below 6.
    • TOEFL: A minimum overall score of 85, with at least 20 in Listening, 20 in Reading, 21 in Speaking, and 20 in Writing.
    • PTE Academic: A minimum overall score of 65 with no individual score below 60.
  • Some postgraduate programs may have specific subject prerequisites or additional requirements.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

Work experience: Some postgraduate courses may require relevant work experience in the field.

It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.

The University of Bristol offers a range of scholarship opportunities to both domestic and international students. 

  1. Vice-Chancellor’s Scholarship: This scholarship is offered to high-achieving students who are starting their undergraduate or postgraduate studies at the University of Bristol. The scholarship covers full tuition fees and a maintenance allowance.
  2. Think Big Scholarship: This scholarship is awarded to international students who have demonstrated exceptional academic merit and potential.
  3. Sanctuary Scholarship: This scholarship is awarded to asylum seekers, refugees, and their immediate family members who are seeking an undergraduate or postgraduate degree at the University of Bristol. The scholarship covers full tuition fees and a maintenance allowance.

The University of Bristol's MSc Data Science program is designed to prepare students for a range of data science careers across different industries. Graduates of the program can pursue roles in data analysis, machine learning, data engineering, data visualization, and other related fields.

  1. Data Scientist: A data scientist uses analytical, statistical, and programming skills to collect, analyze, and interpret large datasets. They may be involved in designing experiments, building models, and creating visualizations.
  2. Data Engineer: A data engineer is responsible for designing, building, and maintaining the systems that enable organizations to manage and analyze large amounts of data.
  3. Machine Learning Engineer: A machine learning engineer builds and deploys systems that can learn from and make predictions on data. They are involved in building and training machine learning models, as well as deploying these models in production environments.
  4. Data Analyst: A data analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They may be involved in designing experiments, creating visualizations, and communicating insights to stakeholders.
  5. Business Intelligence Analyst: A business intelligence analyst uses data to identify trends, create reports, and inform business decisions. They may work with large datasets to create dashboards, visualizations, and reports that help stakeholders understand business performance.

The MSc Data Science program at the University of Bristol prepares students for a wide range of data-related careers, providing them with the technical and analytical skills needed to succeed in today's data-driven economy.


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