MSc Accounting and Financial Management
The University of Bristol's MSc in Accounting and Finance is designed to equip stud...
MSc Scientific Computing with Data Science
Bristol - Clifton
INTAKE: September
Program Overview
The MSc Scientific Computing with Data Science program offers a comprehensive curriculum that combines theoretical knowledge, practical skills, and hands-on experience with cutting-edge technologies.
-
Numerical Methods: Students learn advanced numerical techniques to solve scientific and engineering problems efficiently.
-
Programming and Algorithm Development: The program emphasizes programming skills and algorithm development to implement computational solutions.
-
Data Science and Machine Learning: Students explore data analysis techniques, statistical modeling, and machine learning algorithms for processing and extracting insights from large datasets.
-
High-Performance Computing: The program covers high-performance computing techniques, enabling students to work with large-scale simulations and data processing.
-
Visualization and Data Presentation: Students learn data visualization techniques to communicate results effectively to stakeholders.
-
Real-world Projects: The program may include real-world projects and collaborations with industry partners, providing students with practical experience.
-
Research Project: Students undertake an independent research project, applying their skills to address a specific scientific or engineering challenge.
Location
Bristol - Clifton
Score
IELTS 6.5
Tuition Fee
£ 37500
Postgraduate Entry Requirements:
- 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.
- 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.
- Think Big Scholarship: This scholarship is awarded to international students who have demonstrated exceptional academic merit and potential.
- 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.
Graduates of the MSc Scientific Computing with Data Science program have a wide range of career opportunities in diverse sectors.
-
Data Scientist: Graduates can work as data scientists, using their expertise in data analysis and machine learning to extract valuable insights from complex datasets.
-
Scientific Software Developer: Graduates may pursue careers as scientific software developers, creating computational tools and software for research and industry.
-
Quantitative Analyst: Graduates can work in the financial sector as quantitative analysts, developing mathematical models for investment and risk analysis.
-
Research Scientist: Graduates may choose careers as research scientists in academia, industry, or research institutions.
-
Engineering Analyst: Graduates can work as engineering analysts, using computational methods to solve engineering problems.
-
Data Engineer: Graduates may pursue careers as data engineers, managing and optimizing data pipelines for large-scale data processing.
-
Consultancy Roles: Graduates can work as consultants, providing computational and data analysis expertise to various industries.
