MBM Master of Business Management
The MBM program at the University of Essex is designed to develop well-rounded business...
Colchester Campus
INTAKE: October
The MSc Mathematics program at the University of Essex is designed to provide students with advanced knowledge and skills in various areas of mathematics.
Core Mathematics Courses: The program offers a range of core courses that cover fundamental areas of mathematics, including advanced calculus, linear algebra, numerical methods, and probability theory. These courses provide students with a strong theoretical foundation in mathematics and equip them with essential mathematical techniques and tools.
Specialization Options: Students have the opportunity to specialize in specific areas of mathematics based on their interests and career goals. The program offers a variety of specialization modules, such as algebra, analysis, applied mathematics, mathematical modeling, and computational mathematics. This allows students to deepen their knowledge in their preferred areas of study and develop expertise in specific branches of mathematics.
Advanced Topics and Research Methods: The program covers advanced topics in mathematics, exposing students to cutting-edge research and current developments in the field. Students learn about topics such as differential equations, complex analysis, optimization, mathematical statistics, and stochastic processes. They also acquire research methods and problem-solving skills essential for conducting independent mathematical research.
Mathematical Software and Programming: The program incorporates the use of mathematical software and programming languages, enabling students to apply mathematical concepts to real-world problems and enhance their computational skills. Students gain experience in using software tools such as MATLAB, R, and Python, which are widely used in mathematical analysis and modeling.
Research Project: As part of the program, students undertake an independent research project or dissertation. This project allows students to explore a specific area of mathematics in depth, apply their knowledge and skills, and contribute to the existing body of mathematical research. The research project provides valuable experience in conducting original research, developing mathematical models, and analyzing data.
Colchester Campus
IELTS 6.5
£ 19740
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 entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.
The University of Essex offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize and reward academic excellence, promote diversity and inclusion, and provide assistance to those facing financial challenges.
It is important to note that scholarship availability, eligibility criteria, and application processes may change over time.
Graduates of the MSc Mathematics program have diverse career prospects in various sectors.
Academic and Research Positions: Graduates can pursue a Ph.D. in Mathematics and enter academia as professors or researchers. They can contribute to mathematical research, publish scholarly work, and teach at universities and research institutions.
Data Analyst: Graduates can work as data analysts in industries such as finance, insurance, healthcare, or technology. They can analyze complex datasets, develop mathematical models, and provide insights for decision-making and problem-solving.
Risk Analyst: Graduates can pursue careers as risk analysts in the financial sector or insurance companies. They can assess and manage risks, develop mathematical models for pricing financial products, and analyze market trends.
Mathematical Modeling and Simulation: Graduates can work in sectors that require mathematical modeling and simulation, such as engineering, manufacturing, logistics, or transportation. They can develop models to optimize processes, simulate scenarios, and improve efficiency.
Quantitative Analyst: Graduates can work as quantitative analysts in the finance industry, using mathematical models and statistical techniques to analyze financial markets, develop investment strategies, and assess risk.
Data Science and Machine Learning: Graduates can explore careers in data science and machine learning, applying mathematical concepts and algorithms to analyze large datasets, develop predictive models, and extract valuable insights.