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    Enhancing Banking & Finance with AI : Business Analytics for Executives
    National University of Singapore Business School

    Enhancing Banking & Finance with AI : Business Analytics for Executives

    National University of Singapore Business School, Singapore
    HomeData & AINational University of Singapore Business SchoolEnhancing Banking & Finance with AI : Business Analytics for Executives
    3 daysDuration
    in-personFormat
    EnglishLanguage
    Data & AITopic

    Interested in this program?

    No upcoming dates are listed right now. Register your interest and National University of Singapore Business School will let you know when the next cohort opens.

    About This Program

    Data are a key and critical competitive component of all businesses. Data-driven technologies such as Data Science (DL), Machine Learning (ML), and Artificial Intelligence (AI) help translate data into competitive advantages for many businesses and enterprises, including those in banking and finance. A good understanding of these technologies and their real-world business applications are now critical skills and knowledge of all business executives. This course spans 3 days, with the first 2 days dedicated to building foundational knowledge of AI technology in financial services and the third day emphasising practical skills.

    Why National University of Singapore Business School?

    NUS Business School sits at the intersection of Asian markets and global management thinking in a way few schools can match. Its location in Singapore, one of the world's principal financial and trade hubs, gives executive participants direct access to Southeast Asian deal flows, regulatory environments, and corporate networks that are genuinely difficult to replicate anywhere else. The school's Asia-focused research depth, combined with strong ties to multinational corporations headquartered in the region, makes it a practical choice for leaders who need to operate across Asia-Pacific.

    Your Profile

    • The course is specially designed for business executives and working adults without STEM (Science, Technology, Engineering, Mathematics) background or coding/programming language skills.
    • A large variety of use cases involving financial institutions, fintechs, and other businesses will be used to inspire the participants in adopting the technologies to drive innovation, productivity, and efficiency in their workplace.

    Benefits

    • A foundation understanding of the data science, machine learning, and artificial intelligence technologies.
    • Knowledge about the way these technologies work and solve real world issues.
    • A broad understanding of their applications in banking, finance, and other commercial settings.
    • Practical skills in adopting data science and machine learning to derive business insights and decisions.

    What You'll Learn

    • Day 1 & 2: Overview of the AI industry, including trends and future directions.
    • Day 1 & 2: Exploration of AI use cases in financial services.
    • Day 1 & 2: Introduction to data science, machine learning, and artificial intelligence concepts.
    • Day 1 & 2: Detailed discussion on AI algorithms and specific use cases.
    • Day 1 & 2: Introduction to Supervised and Unsupervised Learning techniques.
    • Day 1 & 2: Overview of Reinforcement Learning and its applications.
    • Day 1 & 2: Overview of Deep Learning and Natural Language Processing.
    • Day 1 & 2: Introduction to Large Language Models, such as those used in chatbots and virtual assistants.
    • Day 1 & 2: Machine learning demo/practical session.
    • Day 1 & 2: Guest speaker session for industry insights.
    • Day 1 & 2: Additional segment on the application of AI in banking and finance.
    • Day 1 & 2: Quiz and assessment to evaluate participants' understanding.
    • Day 3: Python foundations and generative AI for financial analysis.
    • Day 3: Visualization of financial data and model output.
    • Day 3: Machine learning: portfolio optimization, property price prediction, credit prediction, time series prediction.

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

    2. 2

      Compare programs

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    3. 3

      Contact the school

      Send a message directly to National University of Singapore Business School via Gradia to request a brochure or speak with an admissions advisor.

    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

    5. 5

      Submit your application

      Apply directly through National University of Singapore Business School's official application portal.

      Apply now →

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