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Insights from our Breakthroughs in AI: Finance and Machine Learning Webinar

Our recent webinar, "Breakthroughs in AI: Machine Learning and Finance," led by Daniele Bianchi, Senior Lecturer in Finance at the School of Economics and Finance, illuminated the dynamic synergy between AI and Machine Learning in the realm of finance.

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Attendees were immersed in discussions surrounding cutting-edge interpretable machine learning methods, enriched by insights from our Careers Consultant, Agne Rimkute, and firsthand experiences shared by our MSc Finance and Machine Learning student.

Missed the webinar? No problem! Dive into the highlights and catch up by registering to watch the recording.

Key Highlights

Unveiling the Power of Data:

  • Data is everywhere and readily accessible, shaping the future of finance. 
  • The real value lies in the analysis, not just the data itself. 

Key Trends:

  • Discover the rapid adoption of AI in finance, with a remarkable 72% of firms already leveraging its potential. 
  • Yet, a note of caution: overreliance on AI models may lead to unintended consequences.

Master Your Future: MSc Finance and Machine Learning

  • Embark on a transformative journey with our MSc Finance and Machine Learning programme, designed to equip students with cutting-edge skills.
  • Immerse yourself in hands-on learning experiences guided by expert faculty members.

Programme Highlights

  • Discover how machine learning revolutionises financial analysis and investment strategies.
  • Acquire proficiency in programming languages and engage in real-world projects.
  • Our interdisciplinary approach welcomes students from diverse academic backgrounds.

Delivered by the School of Economics and Finance, with additional elective modules available. More details here 

Top 5 Essential AI Skills Insights

  1. Technical Proficiency: Master Python, C#, and R for AI applications, alongside AI tools and UI/UX design.
  2. Communication and Emotional Intelligence: Cultivate empathy, teamwork, and effective communication of complex concepts.
  3. Critical Thinking: Analyse and innovate in AI contexts, fostering creative problem-solving abilities.
  4. Intellectual Curiosity: Drive continuous learning and innovation, thinking beyond conventional boundaries.
  5. Decision-Making: Navigate complex scenarios with sound judgment and maintain accountability in AI-driven environments.

Embrace these skills to thrive in the evolving world of AI and unlock new opportunities for innovation and growth. 

Student Insight: MSc Finance and Machine Learning

"I chose to pursue the MSc in 'Finance and Machine Learning' to enhance my skills in data analysis and building machine learning models and algorithms. Having managed a trading desk for an investment management firm, I saw first-hand the importance of analysing vast amounts of data generated and its potential uses to improve performance returns for investors. Combined with the use of algorithms to implement trading strategies, this encouraged me to delve deeper into machine learning principles.

This MSc equips students with the essential toolkit to evaluate models and grasp the underlying intuition behind it. This, I believe, sets apart this program – it's not just about academic teaching but also places great emphasis on the fundamentals, all wrapped within applicable finance and economic scenarios.

As I venture into a new startup in investment management, I recognise the importance of recruiting candidates with a strong background in both machine learning and finance."

Queen Mary alumni and current MSc student

Register now to watch the webinar recording.

Check out our AI Hub for more.

Our MSc programmes offer comprehensive training in finance or economics, each varying in entry requirements, quantitative level, and career focus.

 

 

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