MSc Accounting and Financial Management
Designed for graduates from diverse academic backgrounds with quantitative training, th...
Bristol - Clifton
INTAKE: September
This one-year, full-time MSc program focuses on developing expertise in coding, machine learning, and high-performance computing. Students learn to apply these skills to a range of scientific problems, enhancing their ability to model complex systems and analyze large datasets. The curriculum is structured to build on existing scientific knowledge, integrating computational methods to provide a comprehensive understanding of scientific computing.
Curriculum: The program offers a blend of compulsory units and elective options, ensuring a well-rounded educational experience. Core units cover topics such as scientific programming, software engineering best practices, data analysis methods, cloud technologies, data visualization, and numerical methods. Students also engage in a group project, collaborating on real-world problems set by industrial and academic partners. The culmination of the program is an individual research project, allowing students to delve deeply into a specific area of interest, applying their computational skills to address cutting-edge scientific questions.
Research Focus: The University of Bristol is renowned for its research excellence, consistently ranking among the top institutions in the UK. Students in this program benefit from a vibrant research environment, engaging with cutting-edge projects that address contemporary challenges in scientific computing and data science. The faculty's diverse research interests provide students with a wide array of perspectives, fostering a critical and analytical approach to the discipline.
Industry Engagement: Recognizing the importance of practical experience, the program emphasizes collaboration with industry partners. Through project work, industrial networking, and site visits, students have opportunities to build professional relationships and gain insights into the application of scientific computing in various sectors. These experiences not only enhance learning but also open pathways to potential employment opportunities upon graduation.
Global Perspective: The University of Bristol attracts a diverse student body from around the world, fostering a rich multicultural academic environment. This diversity enriches the learning experience, allowing students to collaborate with peers from various backgrounds and cultures. The program's content reflects this global outlook, addressing universal challenges in scientific computing and data science, and preparing graduates to operate effectively in international contexts.
Bristol - Clifton
IELTS 6.5
£ 37500
Postgraduate Entry Requirements:
Students must provide:
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.