Data Science for Smart Industries intake form

Please tell us a bit about yourself and your ambitions. Based on this information, the academic director will plan if needed an interview with you.

Personal details

Home address

Education

Working experience

Data science skills

IT skills

Characterize and explain your IT skills: *

Basic user (Office, …) Functional user (ERP, BI, CRM, …) Advanced user (basic SQL queries, business intelligence tools, …) Basic developer / programmer (Visual Basic, C++, elementary Python, R, …) Advanced developer / programmer (experienced Python user, R, JAVA, …)

Analytics skills

Characterize and explain your analytics skills: *

Little or no experience Basic analysis using Excel etc. Theoretical statistics course Statistical analysis using analytics software (Minitab, JMP, SAS, SPSS, …) Advanced analytics using scripting languages (R, Python, Matlab, …) Machine learning Analytics-driven business improvement (six sigma, BPR, BPM, industrial engineering, OR/MS, …)

Experience in leadership & entrepreneurship

Characterize and explain you experience in leadership & entrepreneurship: *

Little experience, only functional jobs, mainly in advisory role Project leadership (internal/external), with budget and/or end-result responsibilities Program management or strategic leadership (for example, master black belt) Department, group or business-unit leadership with budgets for expenditures and investments Independent entrepreneur, active in ongoing business Independent entrepreneur, with lean start-up experience

Ambitions

Personal ambitions – by completing the DSSI program, what do you aim to achieve

Company ambitions – By supporting your enrollment in the DSSI program, what does your company hope to achieve?

Note: you may want to use the template below.

Template – What value could data science bring to your company or group?
Group: what group will you focus on? (department, unit, group, company, …)
Jobs: what is your group trying to achieve? Goals, initiatives, programs, plans, … what are they working on?
Pains: what challenges make it difficult to accomplish these jobs? What is the group struggling with, and what is preventing the group from attaining its goals?
Gains: do we see opportunities that the group itself does not yet see?

Admission form Data Science for Smart Industries