Executive Programme in Data Science for Fintech
Looking for a career that will promise high growth? Technology has become an integral part of industries across the world including finance and accounting. Coined to describe this digital revolution, “Fintech” is used to speak about the technological tools applied in financial methods.
Become part of the fintech field and prosper by participating in the Executive Programme in Data Science for Fintech with the London School of Business & Finance. You’ll gain the core skills you need to be proficient in machine learning and data science. Delivered fully online, you will have the convenience of studying from anywhere.
Getting certified in data science for fintech is a great way to get yourself involved in the future of finance. Due to the digital nature of the work, many job opportunities take place remotely, allowing you to work from your location. Take a look at some facts about fintech:
- 64% of the world’s population uses some type of fintech application as of 2019 (Ernst & Young, 2022)
- The average fintech salary is around $101,175 annually, making more with experience and credentials
- There are over 26,000 fintech startups worldwide as of 2021 and projected to rise rapidly
- In 2021, over 300,000 people were employed in the fintech industry worldwide
With LSBF’s programme, you will have the ability to create a project portfolio which demonstrates your skills and credibility among data science recruiters. This comprehensive curriculum covers everything from BFSI basics to machine learning to Fintech analytics models. By understanding these fundamentals of data science, you will grow in the high-paying fintech industry.
Key Facts:
- Certified by: Edvancer
- Duration: 14 weekends (Sat & Sun) or self-paced with faculty support
- Mode of study: live online or recorded class videos
- Intake:
- Tuition Fees:
(Flexible payment plans and group discounts available)
Course Focus:
- Data science in Python
- Building data science models for Fintech
- Core activities in the world of Fintech across customer acquisition, fraud detection, loss recovery, loan collection, etc.
- Data analysis in SQL
- Data visualisation in Tableau
Learning Objectives:
- Process, clean, visualise, and automate decision making through data science using Python
- Learn the basics of implementing algorithms for the banking and financial sectors
- Gain an understanding of utilizing SQL language to analyse data stored in databases
- Learn to communicate with data bases, extract data from them, manipulate and analyse it, then create reports
- Visualise data using Tableau, which is a popular visualisation and BI tool
- Understand how to create dashboards and stories to present your analysis to top management
Oded Awaskar
Oded has been working in the network and information security industry for more than a decade, Over the years he has specialised in cybersecurity operations and security research both of start-ups and large corporations. With more than 6 years of security research on Israel’s Prime Minister’s Office, and an additional 6 years of leading Threat Intelligence & blue teams, Oded makes sure to emphasise both offensive & defensive point of views given his vast experience. Oded is currently working for Palo Alto Networks as a Leading Threat Hunter. Apart from doing security, Oded also teaches security. He holds cybersecurity courses, for professionals as well as for children. To tell the truth, this is his real passion.
- IT literate with access to a computer
- English language - Common European Framework (CEF) Level B2* or equivalent (all teaching and learning materials are provided in English only)
* Please note those with a B1 level of English and relevant proof of further study will be considered.
Student Testimonials
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LSBF Executive Education:
+44 (0) 20 3435 4644