MSc Finance
Cranfield University's MSc Finance program is designed to equip students with advan...
Cranfield
INTAKE: September
The MSc Computational Intelligence for Data Analytics option provides students with a comprehensive understanding of computational intelligence techniques and their applications in data analytics.
Data Mining and Machine Learning: Students learn various data mining and machine learning algorithms, including decision trees, support vector machines, and neural networks.
Big Data Analytics: The program covers the challenges and opportunities of big data analytics, exploring methods to process and analyze vast amounts of data.
Pattern Recognition: Students study pattern recognition techniques, which are crucial for identifying trends and patterns in complex datasets.
Data Visualization: The program emphasizes data visualization tools and techniques to present analytical results effectively.
Optimization Techniques: Students gain knowledge of optimization methods used to solve complex data analytics problems.
Computational Intelligence Applications: The program explores real-world applications of computational intelligence in areas such as finance, healthcare, and engineering.
Data Ethics and Privacy: Students learn about ethical considerations and data privacy concerns related to data analytics.
Programming and Software Development: The program equips students with programming skills and software development techniques necessary for data analytics projects.
Capstone Project: Students work on a capstone project, applying their knowledge and skills to solve a practical data analytics problem.
Cranfield
IELTS 6.5
£ 26580
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
Cranfield University offers a variety of scholarships and bursaries to help students fund their studies. These scholarships are open to both UK and international students and are awarded based on a variety of factors, such as academic merit, financial need, and professional experience.
It is important to note that eligibility criteria, application requirements, and award amounts vary for each scholarship and bursary.
Graduates of the MSc Computational Intelligence for Data Analytics option have promising career prospects in the rapidly growing field of data analytics.
Data Analyst: Graduates can work as data analysts, extracting insights from large datasets to inform business decisions.
Machine Learning Engineer: Graduates may pursue roles as machine learning engineers, developing algorithms to improve data analytics processes.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, providing data-driven insights to support strategic planning.
Data Scientist: Graduates may become data scientists, conducting in-depth data analysis and building predictive models.
Financial Analyst: Graduates can work in the finance industry, using data analytics to analyze financial trends and investment opportunities.
Healthcare Data Analyst: Graduates may work in the healthcare sector, analyzing patient data to improve medical outcomes.
Software Developer: Graduates with programming skills can work as software developers, creating data analytics tools and platforms.