Data Science – Graduate Qualification
Elevate your career with our Master’s Program in Data Science. Master foundational concepts, data governance, and big data sources. Apply core probability and statistical methods to real-world data analysis. Gain expertise in advanced predictive modelling and hands-on experience with data analysis and visualization tools like Python, R, and PowerBI. Dive into data mining, machine learning, and AI to solve complex problems. Develop critical research skills, focusing on ethical and practical aspects of computing research. Equip yourself with the knowledge and tools to excel in the data-driven world and drive impactful business decisions.
Description
What you will learn
- Master foundational data science concepts, data administration, governance, and big data sources.
- Apply core probability and statistical methods to data analysis, understanding fundamental concepts from first principles.
- Develop expertise in advanced predictive modelling techniques and perform exploratory data analysis.
- Gain hands-on experience in data analysis, cleaning, visualization, and using tools like Python, R, PowerBI, and Excel.
- Understand and apply data mining, machine learning, and AI principles to solve real-world problems with intelligent agents.
- Design and conduct rigorous computing research, understanding philosophical, practical, and ethical considerations.
Frequently asked questions
Review
- Data Scientist: Utilizes statistical methods and domain expertise to extract insights from large datasets, aiding in decision-making processes. Employed in industries like tech, finance, healthcare, and retail.
- Data Governance Specialist: Manages data policies, standards, and practices to ensure data quality and compliance.
- Quantitative Analyst: Applies statistical methods to analyze financial data and develop trading algorithms. Found in investment banks, hedge funds, and trading firms.
- Machine Learning Engineer: Develops and implements predictive models and machine learning algorithms. Common in tech companies, startups, and research institutions.
- Data Analyst: Gathers, cleans, and interprets data to provide actionable insights and support business decisions. Employed in various sectors including finance
- Predictive Analytics Specialist: Uses statistical tools to forecast future trends and behaviors. Found in marketing firms, e-commerce companies, and logistics providers.
- An honours undergraduate degree in related subject or UK level 6 diploma or an equivalent overseas qualification.
- Learners must be 21 years old or older at the beginning of the course.
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