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Master program Data Science in Engineering CSE Special Track George Fletcher Kick-off 2017 – 2018 Aud 1. August 29, 2017
General CSE Goals and Vision
• Graduate has developed • scientific engineering attitude towards computer
science with emphasis on design, construction, and validation of computing systems
• CSE provides • sound theoretical foundations • methodical application in design & analysis • contact with research and industry
• CSE prepares for • jobs: sw developer/engineer, consultant, data scientist,
data engineer, … • training: researcher (PhD), designer (PDEng)
Data Science in Engineering
• Special track of CSE • Based on collaboration between data-science groups • Driven by social and industrial needs • MSc in DSE:
• An expert in many aspects of handling data and information … who understands how to transform data into actionable information
Data Science in Engineering
In particular, a DSE graduate: • Has a broad view of data science
• Is fluent in big data management and processing solutions
• Can analyze data to draw meaningful conclusions
• Understands the role of data in organizations
• Understands the legal and social contexts of data science
Data Science in Engineering
Contrast with other related MSc programs in JADS: • Data Science and Entrepreneurship • Data Science Business and Governance • Business Analytics and Operations Research • Marketing Analytics
CSE-DSE: pre-master program
20 Pre-master programs
tage should they be required to wait for the completion of the pre-master prior tojoining the master program, can apply for a special permission of the ExaminationsCommittee to follow master study’s components:
⌅ Students should have to pass all courses during the first half year to be eligiblefor this exception.
⌅ Students following a 30 EC pre-master program that can be followed within halfa year are not eligible.
⌅ Maximum of 15 EC of master study’s components can be approved.⌅ The eligible courses have to be determined in advance.⌅ The application should be discussed with and submitted to the study adviser, Dr.
Natasha Stash (see below).
⌅ Please note that the course you register for, determines the regulations you have tofollow (see Section 1.3). You should consult OSIRIS and check whether the course youintend to take is a Bachelor College course or a Graduate School course.
⌅ Successful completion of the pre-master program grants admission to the correspondingmaster program. Pre-master graduates cannot be admitted to international programs(EIT Embedded Systems, EIT Data Science, Erasmus Joint Master Degree: Big DataManagement and Analytics).
2.2 Computer Science and Engineering
The pre-master program for a student with a completed polytechnic program in computerscience totals to 30 EC and consists of the following units:
Quarter Code Unit ECTS1 2DL10 Premaster calculus and probability 51 or 3 2IT60 Logic and set theory1 52 2ID50 Data modeling and databases1 52 2IT70 Automata and process theory 52 or 4 2WF20/ 2DBI00 Linear algebra 53 2IL50 Data structures 5
1 The course Data modeling and databases should be preceded by Logic and set theory.
2.3 Data Science in Engineering
The pre-master program for a student with a completed polytechnic program in computerscience totals to 30 EC and consists of the following units:
Quarter Code Unit ECTS1 2DL10 Premaster calculus and probability 51 or 3 2IT60 Logic and set theory1 52 or 4 2WF20/ 2DBI00 Linear algebra 52 2ID50 Data modeling and databases1 53 2IL50 Data structures 54 2DI90 Probability & statistics 5
1 The course Data modeling and databases should be preceded by Logic and set theory.
CSE-DSE: Program structure (120 ECTS) Data Science in Engineering 39
The following table lists the mandatory courses and stream electives.
Quarter Code Unit EC Exam1
CSE mandatory course 5
1 2IMA10 Advanced algorithms 5 w+aStream mandatory courses 25
2 2DMT00 Applied statistics 5 w+a2 2IMV20 Visualization 5 a2 2IMI20 Advanced process mining 5 w+a3 2DI70 Statistical learning theory 5 w+a4 2IMW10 Data Engineering 5 aStream electives
220
1 2IMM15 Web information retrieval and data mining 5 a1 2IMS25 Principles of data protection 5 w+a1 2IMG15 Algorithms for geographic data 5 a3 2IMI30 Business process simulation 5 a3 2IMM20 Foundations of data mining 5 a3 2IMW20 Database technology 5 w+a4 2DD23 Time-series and forecasting 5 a+o4 2MMS20 Statistic for big data 5 w+a4 2IMC20 Research methods 5 w+aFree electives (possibly including internship) 35
Seminar and master project) 35
4 or 6 Seminar 3 5 a7 and 8 2IMC00 Master project 4 30 a
1 w—written exam, a—assignments, o—oral exam.2 You have to choose at least 20 credit points from this list.3 Seminars must be taken from the fourth quarter of your study program onwards. This meansthat if you enroll in September, you cannot take the seminars in quarter 2 in your first year, but thatyou have to wait until you have entered the second year. If you enroll in February, the seminars areeffectively in the fourth quarter of your study.4 You can only start the master project if your individual study program has been approved by theExaminations Committee, and if all homologation units (if any) have been completed successfully,see also Section 3.4.
Mentor of the Data Science and Engineering program is dr. Andrei Jalba, prior to thebeginning of the academic year you should register for 2IMC90. For further informationabout mentoring please consult Section 1.7.
4.3.1 Alternative for teacher training streamLike in the standard CSE program you can reduce the electives from the above list to 10credits to make room for a 45 credit teacher training program offered by the EindhovenSchool of Education (ESoE).
4.3.2 Free electivesIn principle all master courses offered at the TU/e can be chosen as free electives. We dorecommend to take more than the required minimum number of courses from the above
CSE-DSE: Electives (35 ECTS)
We offer >50 electives and any course taught on a master level at any university in any country may be suitable, if approved in advance Capita Selecta: research assignment by invitation only. 9ST14A Academic writing – foreign students & polytechnic graduates Internships (abroad): Joaquin Vanschoren & Nicola Zannone
Mentoring: two stages
Mentor #1: dr. Andrei Jalba • international experience • electives • scientific integrity • professional skills
Mentor #2: chosen by yourself • depending on your specialisation choice • after 6-12 months of study • ideally also your master thesis advisor ?
Seminar & Thesis project (35 ECTS)
Show academic maturity in final thesis project: • theory, practice, design or empirical analysis • in the Netherlands or abroad • at the university or in a company
You can graduate in any of these sections!
• Algorithms • Visualization • Applied Geometric Algorithms
Algorithms & Visualization Information Systems
Model-Driven Software Engineering Security and Embedded Networked Systems
§ Web engineering§ Architecture of
information systems§ Data Mining
§ Formal system analysis§ Software engineering and
technology
§ Security§ System architecture and
networking
Thesis project
• Crucial: duration! • 6 months • Supervisor can grant an extension up to 3 months • Examination committee can grant another extension
up to 3 months • After 12 months: finita
• Find yourself • favorite specialization • Supervisor/mentor 2 (can also help with selecting
electives)
Important
Register for 2IMC90 • Mentors, stream-focused mailing, …
Questions? • Program manager − dr. George Fletcher, MF 7.063 − [email protected]
• Mentor − dr. Andrei Jalba, MF 4.063 − [email protected]
• Study advisor − dr. Natasha Stash, MF 7.061 − [email protected]
