MBA Master of Business Administration
Durham University's MBA Master of Business Administration program is designed to eq...
Durham City
INTAKE: October
The MSc in Scientific Computing and Data Analysis at Durham University is a cutting-edge program designed to equip students with advanced computational and data analysis skills. The program focuses on utilizing computational methods to solve complex scientific and engineering problems while harnessing the potential of data to gain valuable insights.
Foundations of Scientific Computing: Students gain a solid understanding of the mathematical and computational principles that underpin scientific computing.
Numerical Methods: The program introduces students to numerical techniques and algorithms used to solve mathematical problems in various scientific fields.
High-Performance Computing: Students learn how to leverage the power of high-performance computing to efficiently process vast amounts of data.
Data Analysis and Visualization: The program covers data analysis techniques and data visualization tools, enabling students to interpret and present data effectively.
Machine Learning and AI: Students explore machine learning and artificial intelligence, understanding their applications in scientific computing and data analysis.
Big Data Analytics: The program delves into big data analytics, preparing students to handle large-scale datasets and extract meaningful information from them.
Scientific Programming: Students gain proficiency in scientific programming languages like Python, R, and MATLAB.
Research Project: As part of the program, students undertake a research project, applying their knowledge and skills to real-world scientific problems.
Durham City
IELTS 6.5
£ 27500
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.
Durham University offers a range of scholarships and bursaries to both domestic and international students.
Graduates of the MSc Scientific Computing and Data Analysis program from Durham University have promising career opportunities in various industries.
Data Scientist: Graduates can work as data scientists, utilizing their skills to analyze and interpret data for research and decision-making purposes.
Computational Researcher: Graduates may pursue careers as computational researchers, using scientific computing techniques to model and simulate complex systems.
Machine Learning Engineer: Graduates can explore opportunities in machine learning engineering, developing and deploying machine learning models.
Data Analyst: Graduates may work as data analysts, extracting insights from data to inform business strategies and decision-making.
Research Scientist: Graduates can pursue roles as research scientists, contributing to groundbreaking research in their chosen scientific fields.