MSc Data Science and Econometrics

Program Overview

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The MSc Data Science and Econometrics program at Goldsmiths, University of London combines econometrics and machine learning for data analysis. It equips students with skills in statistical analysis, programming, machine learning, and data visualization to analyze large datasets in finance and economics. The program prepares students for careers as data scientists in various industries, including finance, marketing, business management, and healthcare. Graduates are equipped with the skills to analyze and interpret trends and make predictions in economic and financial contexts.

Program Outline

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Degree Overview:

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Overview:

This program combines econometrics and machine learning for data analysis, equipping students with the skills and knowledge to analyze large datasets in finance and economics.

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Objectives:

• Develop skills in statistical analysis, programming, machine learning, and data visualization.
• Gain practical experience applying data science techniques in economics, finance, and business contexts.
• Prepare students for careers as next-generation data scientists.

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Outline:

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Duration:

• 1 year (full-time)
• 2-3 years (part-time)

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Modules:

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Compulsory Modules (30 credits):

• Data Programming
• Statistics and Statistical Data Mining
• Big Data Applications
• Econometrics
• From National Statistics to Big Data
• Advanced Econometrics
• Final Project in Data Science (60 credits)

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Optional Modules (15 credits each)

• Data Visualization
• Artificial Intelligence
• Neural Networks
• Machine Learning
• Data Science Research Topics
• Financial Data Modelling
• Blockchain Programming
• Mathematics for Financial Markets
• Marketing Strategy
• Marketing Analytics
• Digital Marketing and Branding

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Teaching:

• Teaching methods incorporate industry-standard software like Apache, Hadoop, R, and Spark.
• Faculty brings knowledge from active research and industry experiences.
• Guest speaker lectures from industry professionals occur throughout the year.

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Careers:

• Graduates are prepared for careers as data scientists in a variety of industries including finance, marketing, business management, healthcare.
• The program equips students with skills for analyzing and interpreting trends and making predictions in economic and financial contexts.

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Other:

• The Institute for Management Studies and Department of Computing collaborate to deliver this interdisciplinary program.
• Real-world data from economics, finance, business are utilized for hands-on learning and research opportunities.
• Graduates may specialize further with optional pathways in Artificial Intelligence, financial technology, marketing.

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Disclaimer: