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Data Science Finishing School for Graduates

A 6 months paid finishing school for graduates that includes 2 months of intensive data science enablement and mentorship with experienced data scientist and placement at industry partners. A program driven by ASEAN Data Analytics eXchange (an MDEC initiative) in partnership with universities and leading industry partners to fast track the development of Data Professionals that meet the needs of the industry.

Learning Paths

We have curated our learning paths in line with the Data Professional Skills Framework to support data and analytics knowledge development focused on 3 areas: data engineer, data analyst and data scientist.

 

We provide the students with the foundation skill sets for each of the knowledge areas. Our courses include lectures and labs sessions, hands-on programming and interactive! Each of the learning paths includes a mentorship, project presentation and soft skill development days.

Enterprise Data Engineer

The objective of the course is to enable the participants to understand the importance of data management and to realise the value from the organisation’s data. Basic knowledge of programming is a pre-requisite for this course as the focus will be on database administrators who want to broaden their activity towards the whole data life-cycle.

Enterprise Data Analyst

The goal of the course is to equip the participants with the ability to set-up and run analysis using R, analyse data correctly, communicate and visualise findings well. Participants will also be taught to extract insights and knowledge from data. The course is aimed at students with little or no experience in analysis but with grounding of maths.

Enterprise Data Scientist

The EDS course is a practical fast-paced hands-on training for participants to explore the interdisciplinary field of data science. The course teaches participants how to think in a data-scientific way, conduct or approximate experiments on business activity, analyse data rigorously, develop predictive models and monitoring model outputs.

Program Details:

We are kicking-off our next intake for the Data Star program on the 16th of May 2017:

Who Should Apply

Graduates with PhD, Masters or Bachelors in Maths/Stats, Computer Science, Actuarial Science, Engineering, Economics or Science. A knowledge in programming is an added advantage.

The program provides you with:

Where: