BSc (Hons) Accounting & Finance
The BSc (Hons) Accounting & Finance course at Kingston University is designed to pr...
Penrhyn Road
INTAKE: Jan & Sept
The MSc Data Science program at Kingston University offers a comprehensive curriculum that covers a wide range of topics in data analytics, machine learning, data visualization, and data management. Students gain hands-on experience with various tools and technologies used in the data science field, allowing them to become proficient in handling and analyzing big data.
Data Analysis and Statistics: Students learn foundational statistical methods and data analysis techniques to draw meaningful insights from data.
Machine Learning Algorithms: The program covers various machine learning algorithms used for predictive modeling and pattern recognition.
Data Visualization: Students explore data visualization techniques to effectively communicate data-driven insights.
Big Data Management: The curriculum includes methods for handling and processing large-scale datasets commonly encountered in the industry.
Data Ethics and Privacy: Students are educated about the ethical implications of data use and the importance of data privacy.
Data Mining and Knowledge Discovery: Techniques for discovering valuable patterns and knowledge from vast datasets are taught.
Real-world Projects: Students work on practical projects that simulate real-world data science challenges.
Database Systems: The program covers database management systems to efficiently store and retrieve data.
Data Cleaning and Preprocessing: Techniques for cleaning and preprocessing data to ensure data quality and reliability.
Data Science in Business: The curriculum explores the application of data science in various industries, including finance, healthcare, marketing, and more.
Penrhyn Road
IELTS 6.5
£ 18500
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.
Kingston University is dedicated towards supporting talented and deserving students from around the world through a range of scholarships and financial aid programs. These scholarships aim to provide opportunities for academic excellence and promote diversity within the student community.
The MSc Data Science program opens up a wide range of rewarding career opportunities in the data-driven world.
Data Scientist: Analyzing and interpreting data to inform business decisions and strategies.
Data Analyst: Extracting insights from data and presenting them in a meaningful way.
Machine Learning Engineer: Building and deploying machine learning models for predictive analysis.
Business Intelligence Analyst: Utilizing data to provide valuable insights and support business planning.
Data Engineer: Developing and maintaining data pipelines and infrastructure.
Big Data Analyst: Working with large-scale datasets to uncover valuable patterns and trends.
Data Consultant: Providing expert advice on data-related challenges and solutions.
Data Visualization Specialist: Creating visually engaging and informative data visualizations.
Data Manager: Overseeing data storage, security, and retrieval systems.
Research Analyst: Conducting data-driven research and studies to inform decision-making.