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Welcome!

MSc Data Science and EntrepreneurshipShort introduction and Q&A

Ksenia Podoynitsyna

2 December 2016

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programs

engineering

Eindhoven University of Technology

society

Tilburg University

entrepreneurship

Mariënburg Den Bosch

Master Data Science in Engineering

Master Data Science: Business and Governance

Master Business Analytics and Operations Research

Master Marketing Analytics

Joint Master Data Science and Entrepreneurship

PDEng(post-master)

PhD

Joint BSc

Joint BSc

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December 1, 2016

JADS officially opened by her Majesty Queen Maxima of the Netherlands

Data Engineering Math & Statistics

Business Analytics Socio-legal-economic Context

Our Vision on Data Science

The science that develops methods and techniques to turn data into value

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Some themes and application areas

Customer JourneySmart maintenanceBody monitoring

Data security City management Home control

The Joint MSc DS&E Philosophy

Supporting Data Processes (e.g. Legal, IP, Ethics)

= Engineering = Society = Entrepreneurship

Data Architecture &

Data Integration

Data Mining &

Data Analysis

Data Visualization&

Data Decision Making

Data Entrepreneurship €

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Data Entrepreneurs: A New Profession

Leadership

Creativity

Inter-personal skills

Goal-orientation

Persuasion

Data Mining Business Analytics

IP & PrivacyCreative Thinking

& Innovative designLaw, Ethics &

Entrepreneurship

Data Engineering Innovation Services Data Visualization

Data Driven BPM

Strategy & Business Models Entrepreneurial Marketing Data Entrepreneurship

Venture Law & Finance Corporate Entrepreneurship

Data Architecture & Integration

Data Mining & Data Analytics

Data Visualization & Decision Making

Data Entrepreneurship

Supporting Data Functions (Law, Governance)

Elective

Master’s Courses Overview

SupercrunchersDeep Learning

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Some examples of Courses

Strategy and Business Models

• How to differentiate from competition

• How to manage the business ecosystem and/or related platform

• When and how to apply business model innovation

Data Mining:

• Classification, learning to rank, clustering, pattern mining, and computing similarities from data of different nature

• Dealing with regulatory requirements

More examples Data Engineering: combine data management and data integration

• Create an understanding of conceptual database models

• Combine data from several heterogeneous disparate sources

Data Entrepreneurship in Action I, II, III and the Master Thesis:

• A series of three projects that bind together certain elements of other courses in the semester

• Originating from the data set opportunities provided by an external company or discovered by the student

• DEIA are preparation for the Master Thesis project (30 ECTS)

• Resulting in 9 months+ relevant work experience after the graduation

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NSO portal for publicly available, free satellite data:• Imaging, temperatures, wind speeds, humidity, photo’s, etc.• Bridge sinking, ground humidity measurements for farmers,

(illegal) cannabis in the attic, berth use in the haven, check for meadows covered by water for subsidies, …

ESA and NSO: Satellite Data Example

Our proposition

• Small scale, yet top-quality education and R&D

• Personal coaching to advise about your program (electives) and advance your “soft-skills”

• Vibrant campus with on-site companies and start-ups

• In close collaboration with the JADS ecosystem

• Programs on Business and IT

• Communication and Entrepreneurial skills

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Our proposition – continued

• Brand new data science campus with dorms and the latest facilities;

• We will help you to setup your own (corporate) data venture

• You can get involved in industrial projects @Mariënburg

• “Data City” Den Bosch Municipality and Province have dedicated locations and seed-money budgets for IT Entrepreneurs

Data Science Campus in ‘s Hertogenbosch

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Data Science (BSc level

knowledge about Mathematics and

Statistics )

Data Engineeering

(Bsc level knowledge about programming and

database techology)

Affinitiy with entrepreneurship

Open to further develop personal traits/ soft skills

Three Admission Categories:

1. Direct Admission

2. Indirect Admission

3. Not(-directly) Qualified

http://www.jads.nl/admission.html

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Direct Admission (to Msc)• BSc in Data Science

• BSc in (Applied) Mathematics

• BSc in (Applied) Computer Science

• BSc in Econometrics

Indirect Admission (to MSc or pre-master)• BSc in Industrial Engineering

• BSc in Artificial intelligence

• BSc in Business Informatics

• BSc in Business & IT

• BSc in Information Science

• BSc in Lifestyle Informatics

• BSc in Software Engineering

• BSc in Software Science

• BSc in Innovation Sciences

• BSc in Web Science

• BSc in Business Information Management

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Not Qualified (for the pre-master)

Examples include:

• BSc in Business Administration

• BSc in International Management

• BSc in Economics

• ….

NEW NEW NEW NEW NEW

Pre-master program will start February 2017 !

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TypePre-master’s program-------------------------------Duration1 Semester-------------------------------Study points30-------------------------------LanguageEnglish

Pre-Master Data Science & Entrepreneurship

Mastering DS&E: the Pre-Master

Semester Courses Credits1

Data-structures and Algorithms 61

Foundations of Databases 61

Introduction tot Data Science 61

Introduction to Machine Learning 61

Programming 6

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Mastering DS&E: the Pre-Master for HBO / Voc. Institutes

Semester Courses Credits1

Data-structures and Algorithms 61

Foundations of Databases 61

Introduction tot Data Science 61

Introduction to Machine Learning 61

Programming 61

Research Methods 6

How can I enter JADS’s Joint Master of Data Science & Entrepreneurship (JMDSE)?

• (Applied) Mathematics• Computer Science and

Engineering• Data Science• Econometrics

YES

You’re in*!NO

Next slide

Do you hold a Bachelor’s degree in one of these?

* after double check by the admission committee

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How can I enter JADS’s Joint Master of Data Science & Entrepreneurship (JMDSE)?

Do you hold a Bachelor’s degree in one of these?

YES

NO

Did you take courses (15 ects) on the topics of:

You’re in**!

YES

• Programming• Data Mining• Databases

NO

Next slide

Next slide

• Industrial Engineering• Artificial intelligence• Business Informatics• Business & IT• Information Systems

• Innovation Sciences• Web Science• Business Information

Management• Lifestyle Informatics

(Including courses on mathematics (at least 10EC) & statistics (at least 10EC)

• any other Bachelor that indicates enough background on the topics of Data Science and Entrepreneurship

** the admission committee will check if the candidate’s deficiencies can be eliminated within the homologation space in the program. If this is not the case, the candidate has to complete a pre-master program.

How can I enter JADS’s Joint Master of Data Science & Entrepreneurship (JMDSE)?

Do you hold a Bachelor’s degree in any other field related to business, information or data (Including courses on mathematics (at least 10EC) & statistics (at least 10EC)?

NO

Apply for our Premaster programme!

Finish a Bachelor of the ones mentioned in slide 2 & 3

YES

* Criteria on excellence: 1) Pass our mathematics test; 2) Pass our TOEFL-test and 3) Provide motivation and proven results of excellence in your studies and/or extracurricular activities. The admission committee will take a final decision whether your application is a match for our Premaster programme.

Do you hold a degree of Applied Sciences (HBO) on Data Science, Applied Mathematics, Computer Science, Econometrics and are you an excellent student*?

OR

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Admission procedure / instruction for application for Premaster

You’ll receive a confirmation from the admission officer

Your application will be reviewed by the admission committee

You’ll receive their final decision on your elegibility as soon as possible, but at leastwithin 4 weeks

If you’re admitted, you’ll receive an invitation for the kick-off event on Jan 23rd

1. Go to MySAS: https://apply.tilburguniversity.edu/oa/ 2. Enroll on Studielink through

B Business Economics – Academic Premaster

Data Mining Process Mining Data Mining Statistics AI Sociology of Technology Creativity/Entrepreneurship

Programming Computer Science Data Engineering HTI Data Science Visualization Entrepreneurship

IP/Privacy Standardization IP & BMI Competition Entrepreneurship Entrepreneurship Data DM

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Q & A

More questions? education@jads.nl