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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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