CAS Big Data Analytics, Blockchain and Distributed Ledger

Description

Fintech is the buzzword for the technological transformation within the financial sector, driven by the availability of Big Data together with the rapidly advancing digitalisation, in particular data-driven automation (the equivalent of Industry 4.0 in the financial world).

Over the last few years, numerous start-ups were launched with innovative products driven by the merging of analytics and digitalisation. Examples include Peer-to-Peer Lending, cryptocurrencies such as Bitcoin, robo-advisors and countless new Internet applications. This development will drastically reshape the financial sector over the next few years.

The aim of the CAS Big Data Analytics, blockchain and Distributed Ledger is to support the financial sector with this transformation process. As the combination of the technological fields of Big Data analysis and automation through digitalisation is key for the technological transformation of the finance sector, it is important that these two topics are combined together in one training course. This will enable managers and experts with management responsibilities to understand how these technologies work, how to evaluate the technologies, assess their potential for the company, develop solutions that are adapted to the company and plan and manage their implementation within the company.

At a glance

Qualification: Certificate of Advanced Studies in Big Data Analytics, Blockchain and Distributed Ledger (12 ECTS)

Start: 21.09.2018, 01.03.2019, 20.09.2019

Duration: 7 months

Costs: CHF 7,000.00

Location: ZHAW School of Engineering - Lagerstrasse 41 - 8004 Zurich

Languages of instruction: German, English

Objectives and content

Target audience

Aimed at managers and experts with management responsibilities across a range of functions, who would like to acquire or broaden their skills in the analysis of Big Data and the IT technologies that are fundamental for digitalisation. Primarily, these are employees within the finance and insurance industry in the areas of IT management, business analytics, business technology, business development, innovation management and project management, who work in a leading function on data analysis projects and/or projects for the development of efficient and innovative business processes, or who would like to innovate their company or business model in light of the technological transformation.

Objectives

The CAS Big Data Analytics, Blockchain and Distributed Ledger enables the participants to perform complex specialist management tasks in the area of business analytics and IT management. In terms of specialist content, the CAS focuses upon the following technologies and techniques:

 

The students:

Content

Module A: Big Data Analytics

Course contents

Fundamentals of analytics

Big Data

Machine learning algorithms versus statistical learning

Analysis software

 

Module B: Blockchain and Distributed Ledger

Course contents

Blockchain

Distributed ledger

Consensus algorithms, proof of work and alternative concepts

RegTech

Case study

Methodology

Lectures, practice-based exercises and example case studies, simulations, group work, self-study (preparation and follow-up) and e-learning

Classes

The instruction will take place alongside the participants' work on 10 Fridays (full days) and 10 Saturdays (half days). After the contact hours the students work on their final thesis for about 3 months.

The students will receive their individual timetable at least one month prior to the start of the course. The holiday periods are based upon the school holiday periods for the city of Zurich.

Enquiries and contact

Provider

Instructors

The team of lecturers is composed of qualified specialists with skills in the academic and practical fields. Here are some of the lecturers:

Qualified experts from the industry will also be involved in some of the teaching units.

Application

Admission

Admission onto a Certificate of Advanced Studies (CAS) programme requires a degree (university of applied sciences, polytechnic, school of economics and business administration, university, ETH). However, participants with comparable professional skills may also be admitted onto the programme if they are able to provide evidence of these skills.

Basic programming knowledge in a programming language and an affinity for quantitative analytics as well as IT-related subjects are an advantage.

General terms and conditions

Conditions

Starting dates and application

Start Application deadline  
21.09.2018 21.08.2018 FULLY BOOKED
01.03.2019 01.02.2019 Application
20.09.2019 20.08.2019 Application

Downloads and brochure

Links