Programme In Digital Transformation on BFSI

The Digital Transformation in BFSI course provides a deep dive into the impact of Data Science, Artificial Intelligence (AI), and Cybersecurity on the Banking, Financial Services, and Insurance (BFSI) sector. Participants will learn how these technologies enhance decision-making, improve customer experiences, optimize operations, and secure financial systems.

With a focus on practical applications, case studies, and capstone projects, the course covers topics such as AI in risk management, fraud detection, cybersecurity frameworks, and regulatory compliance.

Course Objectives

• To provide an in-depth understanding of the BFSI sector and its evolution from traditional banking to digital financial services, with a focus on technology-driven transformations.
• Equip learners with skills to apply Data Science and Big Data Analytics in areas such as risk management, customer segmentation, fraud detection, and decision-making within the BFSI industry.
• Understand the applications of Artificial Intelligence (AI), including machine learning, deep learning, and natural language processing (NLP), in BFSI for fraud detection, customer service, trading, and compliance.
• Provide a thorough grounding in cybersecurity principles specific to BFSI, including regulatory requirements, frameworks, incident management, and technologies used to safeguard digital banking and payments.
• Introduce learners to emerging technologies such as Blockchain, FinTech, and InsurTech, emphasizing their impact on secure transactions, fraud prevention, and financial innovation.
• Enable students to develop practical solutions for real-world financial problems through hands-on projects focused on AI, Data Science, Cybersecurity, and digital banking.

Eligibility

• Student of Manonmaniam Sundaranar University and affiliated colleges.

Pedagogy

• The Primary method of instruction will be through Class Lecture and Online Video Classes.
• Participants get an extra benefit of the online courses via Desktop / Laptop / Smart phone.
• Structured lectures on BFSI fundamentals, digital transformation, data science, AI, and cybersecurity concepts, followed by in-depth discussions to clarify key concepts.
• This programme is a Compilation of Video Lectures, Mock Tests, Quiz, Group Discussions and Case Studies.
• Extensive practical sessions where students use tools like Python, R, SQL, and machine learning models to implement data-driven solutions in BFSI contexts such as fraud detection, credit scoring, and risk management.
• Case-based learning to analyze real-world examples of successful digital transformations in BFSI, cybersecurity breaches, and the implementation of AI-driven solutions.
• Instructor-led demos on using data analytics tools, machine learning algorithms, and cybersecurity frameworks for applications in digital banking and finance.
• Collaborative learning through group discussions, project work, and peer feedback to enhance the understanding of concepts and ensure knowledge sharing.
• Sessions with industry experts and case discussions focused on the latest trends and challenges in digital banking, FinTech, AI, and cybersecurity.

Programme Highlights/USPs

On successful completion of the programme, you will

• Lectures imparted by Eminent Academicians and practicing Industry Experts.
• Fully Online Pre-Recorded Course with online lectures that provides a “real” classroom experience in a “virtual” environment.
• User friendly and easy to use technology interface. No expensive and time-consuming software/hardware installations required at your end.
• Through our web portal, Students are provided access to course presentations, case studies, assignments and other reference materials as applicable for specified courses.
• Learn from Anywhere – No need to travel to an institute or training centre. Learning continues even if you are traveling or not available at any specific location. You may also learn from the comfort of your home at your convenient time.
• The course provides a holistic view of how BFSI institutions are leveraging technologies like AI, Data Science, and Cybersecurity to reshape the industry.
• Hands-on experience with real-world tools (Python, R, SQL, Hadoop) and techniques such as machine learning, risk analytics, sentiment analysis, and fraud detection in BFSI scenarios.
• Prepares participants for high-demand roles in BFSI, such as AI engineers, data scientists, cybersecurity analysts, and digital transformation consultants, ensuring industry-relevant skills for career advancement.

Syllabus

• CHAPTER 1 – Introduction to BFSI Sector in India
• CHAPTER 2 – Data Science in BFSI
• CHAPTER 3 – Artificial Intelligence in BFSI
• CHAPTER 4 – Cybersecurity in BFSI
• CHAPTER 5 – Regulatory Compliance and Security in BFSI
• CHAPTER 6 – Emerging Technologies in BFSI
• CHAPTER 7 – Capstone Project
• CHAPTER 8 – Future Trends in AI, Data Science, and Cybersecurity in BFSI