Courses and modules

The ModularMaster in S.M.A.R.T. Entrepreneurship aims to equip business owners and senior management who are tasked with the responsibility to manage their business in the world of uncertainty and volatility.

You have heard the buzzwords in marketing, content marketing, paid search, social media, SEO, marketing automation, marketers and business owners are recognising the power of digital marketing and some of the world’s most successful companies are already building up capabilities to augment their marketing and communications strategies to differentiate themselves in this highly dynamic and competitive economy.

We have combined the capabilities of Aalto University from Finland and SUTD in the areas of business and technology. This programme consists of a suite of short, modular, skills-based courses which is designed to help executives master the mindset towards understanding and managing technology and hone their business management expertise.

Search Engines are where people head to when looking for what to eat, what to do, where to go, what to buy, and more. Businesses vie for the attention of the audience and to appear where and when these audiences expect. A well-executed paid ad strategy is an effective way to reach targeted audiences and is critical to modern integrated marketing strategies. However, managing budgets while ensuring reach and conversion to the right audiences is key to a successful campaign.

This course serves as an introduction to deep learning and introduces the PyTorch framework to students, which is the most used Python framework for prototyping Neural Networks and Deep Learning models. During this course, the students will study the implementation of a shallow neural network, and discuss typical issues and good practices related to training such models.

This course provides an overview of the data science lifecycle. It emphasises the importance of formulating clear business questions, understanding stakeholders, acquiring and preparing data, and conducting simple data analysis.

This course provides an understanding of design and visualisation principles. It emphasises the five steps to effective data storytelling: audience profiling, designing your story, prepping your data, choosing the right visuals, and making important insights stand out.

This course provides an overview of data management, essential for successful data analysis. It emphasises the types and components of IT (Information Technology) infrastructure, applications of RDBMS (Relational Database Management System) and the phases of database designing.

Computational thinking is a necessary skill for 21^st century work force. One way to sharpen this computational thinking is by learning how to program.

Participants will learn to access and communicate with databases using RDBMS tools over the first four days. Participants will be equipped with the skills necessary to store a large structural dataset within an RDBMS tool and enable them to efficiently prepare the dataset for data analysis.