Specialising Master's Programme

Financial Services / Artificial Intelligence / Data & Cloud

Be a Master in Digital Finance

INDEX

Master’s programmE

Your future in digital finance starts today.

Introducing you to Reply's third master’s programme. It is a unique programme, recognized by MIUR (Ministry of Education, University and Research) and developed in collaboration with POLIMI Graduate School of Management. The programme is offered to a selection of highly qualified students to provide a specialised course on the most innovative IT issues in the Finance sector.

The Master’s in Digital Finance programme is open to 50 selected students, and is scheduled to start in April 2023. The course will be in English and will last 18 months. The course is primarily online, with some activities carried out at POLIMI GSoM buildings and Reply offices. Thanks to a great depth of talent, we are training the digital finance experts of tomorrow; professionals who will deal with emerging technologies in the Financial Services context, such as Artificial Intelligence & Machine Learning.

A new Master is born.

The 18-month programme is aimed at the most brilliant postgraduates and undergraduates like you! (For undergraduates that have graduated by March 2023 or postgraduates that have graduated by July 2023). To be eligible, you must have completed a course in one of the following: Computer Engineering, Computer Science, Automation Engineering, Cybersecurity, Telecommunications Engineering or Electronic Engineering.

You are good, but not quite a Master yet?

We invest in your talent. For you, the programme is completely free. Reply will send the 50 selected candidates a permanent recruitment proposal. Reply will fully bear the costs of the programme upon acceptance of the proposal and commitment to stay for 3 years from the start of the programme.

Still unsure? Remember that we don't just pay for your studies, we also guarantee your step in a great industry.

#Beamaster

Download brochure

Want to learn more?

The enrolment period has now closed

Key Info

Target Students

Completed degree by 31 March 2023 in the case of a Bachelor's degree, by July 2023 in the case of a Master's degree - in Computer Engineering, Computer Science, Automation Engineering, Cybersecurity, Telecommunications Engineering or Electronic Engineering

Deadline

13 March 2023 – 14:00 (CET)

Participants

50 selected

Cost

Reply will cover the participation fee (20.000 €) for the candidates who pass the selection and accept a permanent job offer

Recruitment and Career

Reply will hire the admitted applicants who accept the job-offer and commit to stay for 3 years from the start of the Master's programme

Duration

18 months, from April 2023
to September 2024

Teaching Schedule

Executive formula: online, 2 weekends a month (Fri-Sat) + 3 weekends in attendance + project work + thesis.

Language

English

Where

Online lessons + other teaching activities at POLIMI Graduate School of Management buildings and Reply offices.

We train tomorrow's professionals

For Reply, training young people and future talents is a fundamental value, and we have always invested in developing their skills. The master's programme is one of the many initiatives we deliver, with a custom-made approach, to train tomorrow's professionals and confirm the hyper-specialisation that digital transformation requires. With this third master’s programme from Reply, in collaboration with POLIMI Graduate School of Management, we aim to create an elite of highly qualified students in the most innovative IT issues in finance; professionals who will deal with emerging technologies, such as Artificial Intelligence and Machine Learning, in the context of Financial Services.

Filippo Rizzante
Reply CTO

We are proud to partner with Reply to train tomorrow's Digital Finance experts. The Master's programme offers a valuable professional and specialised opportunity in the most innovative IT issues in Finance.

Federico Frattini
Dean POLIMI Graduate School of Management

The financial services industry is and will undergo major changes in the coming years. There will be countless challenges (sustainability, new players, ...), but the biggest one is driven by digital technologies. Artificial intelligence, Machine Learning, Cloud, ... will be the transformation engine of entire financial sectors (markets, banking, insurance, payments, asset managers, ...). With an exclusive executive Master’s formula designed together with POLIMI GSoM, students will have the opportunity to build their own background in financial services, and then dive into deepening their specific skills in a hands-on way and with top professionals from Reply and Politecnico di Milano. We want to train the leaders of the future to lead the transformation of the financial sector in Europe.

Roberto Tognoni
Reply Executive Partner

In this Master's programme, we will work with the best talent in both the finance and tech sectors to train multi-skilled figures who can better understand the needs of the end-user and communicate even more effectively between different professions.

Laura Grassi
Director of the Master's programme

The timeline of the initiative

General management

The ‘General Management’ courses will provide the student with the right tools to analyse the company, manage activities and processes, plan and implement innovation and transformation, and understand how to analyse the essential characteristics of a company as well as the context in which it operates. Through these courses the student will learn a company's main functioning processes, how companies can plan and produce in a flexible, agile way, and how to manage transformation and innovation projects.

Deep dive in finance

Through the ‘Deep dive in finance’ courses, the student will explore specific issues in the banking and insurance market. They will gain an understanding of the market itself and understand the financial market landscape, regulation, actors, and activities. The ‘Deep dive in finance’ courses will allow students to understand the financial structure of the company so they can guide fundamental decisions. In this phase of the programme, the student will understand the main financial management tools and the main characteristics of the different areas of financial activity.

Technical architecture in Financial Services

During this session students will go through the evolution of IT architecture in Financial Services. From the monolithic all-in-one system of the 70’s to the modern, cutting edge, digital 24/7 cloud architecture passing through distributed applications and service-oriented patterns. An IT architecture is the accomplishment of business needs. New requirements arise daily and the IT landscape continues to evolve, adding new applications, replacing old ones, and having to suffer inefficiency due to non-de-commissionable systems (i.e., legacy applications). Technology only moves faster and starting every time from a perfect scenario is not a viable option. An IT landscape is a balance of old and new systems integrated according to well defined pattern to ensure adequate performance and an appropriate level of continuity services at acceptable costs.

AI-ML hands-on

This training area focuses on the application of the main Artificial Intelligence and Machine Learning techniques, such as computer vision, natural language processing, predictive systems and deep learning. The course focuses on the study of cognitive systems offered by two of the leading vendors in the sector and their application in multiple contexts of use such as intelligent process automation, recommendation systems and intelligent analysis. The specialisation is based on case studies from real experiences, leveraging Reply's experience in frontier technologies. Attendees can study the real-world applications of the platforms and frameworks offered by leading vendors in the industry. The implementation of cutting-edge algorithms and models, deep learning techniques and an in-depth study of machine learning tools will go hand in hand with an approach aimed at capitalising on the results from defining of evaluation metrics for the effectiveness of the solutions developed from a business perspective. Technology will be the predominant part of the journey. However, important issues such as bias, fairness and explainability of the model, essential for bringing AI to today's large companies, will also get their fair share of dedicated time.

Data hands-on

In this area of specialisation, a hands-on approach will be pursued with a variety of exercises in which participants will implement end-to-end data pipelines that start from source systems and complete all transformation steps. As a result, participants will understand how to do batch and real-time data ingestion, how to transform and organise data for further analysis, how to industrialise machine learning models and finally how to expose what is extracted from the data. The majority of time will be focused on the practical side, building data architectures in a simplified way to meet typical needs in the FSI world based on AWS cloud and GCP.

Project Work

Thesis

Make Forward

At Reply we help you turn your vision into reality: we combine our strategic and creative approach with today's cutting-edge technologies to start making things happen from day one.

Discover more

What will I learn by completing this Master’s?

In-depth knowledge of the technologies that are at the basis of the major transformations taking place in the Financial Services Market.

An understanding of how these technologies can be adopted in practice to solve real-life problems.

A specialisation in the key technology areas: Data and Machine Learning.

An awareness of how these technologies are made available by major platform providers and the differences between them.

The Reply methodology: to learn from our professionals based on a practical approach, adopting a distinctive working method focused on excellence and collaboration.

Who will guide me during the learning process?

The Scientific Committee

The Scientific Committee made up of members of POLIMI Graduate School of Management and Reply Group professionals, is responsible for designing the training programme and supervising the initiative.

POLIMI GSoM Instructors

The Masters' teaching staff is made up of professors and researchers from POLIMI Graduate School of Management, experts in the topics covered, who will guide you through this academic experience.

Reply Instructors

Reply’s professionals will take turns in teaching, supporting laboratory activities and serving as mentors to students during the project work and the preparation of their thesis. They will also give lectures on subjects such as IoT and Security.

FAQs

How much does the master’s programme cost?

Where will the programme take place?

When does the programme start?

How can I apply for the Master course?

Is the programme delivered in person or online?

How many students will be on the programme?

Can I apply if I haven’t graduated, yet?

Do I qualify for the programme?

There are minimum admission requirements to apply for this programme:

Minimum knowledge of the English language equal to level B2
Master's or bachelor's degree in:
- Computer Engineering
- Informatics
- Automation Engineering
- Telecommunications Engineering
- Electronic Engineering
- Computer security
  Once completed, we will review your application and contact you if your profile matches. The first step in the selection process is a motivational interview with our HR team.