international master in data analytics

International Master in Data Analytics

International Master in Data AnalyticsWelcome Back to Summer Term 2019

Prof. Dr. Dr. Lars Schmidt-Thieme

Information Systems and Machine Learning Lab (ISMLL)University of Hildesheim, Germany

April 04, 2019

Prof. Dr. Dr. Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany

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International Master in Data Analytics

Outline

1. Study Progress

2. Courses Current Term


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International Master in Data Analytics 1. Study Progress

Outline

1. Study Progress



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Study Progress (Winter Start 2018/19)

I 26 students started in winter 2018/19I 1 student left the program

I 25 active students for term 2

I pending retakesI 3x ML, 5x MOT, 2x BA

I 2 students at risk


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Study Progress (Summer Start 2018)

I 26 students started in Summer 2018I 3 students left the program

I No Show


I pending retakesI 1x BD, 1x DL, 2x ML, 1x BN, 3x MOT



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Study Progress (Winter Start 2017/18)

I 39 students started in winter 2017/18I 2 students left the program

I 2 deferred their start to summer

I 36 active students for term 4+2 students in term 3.

I pending retakesI 4x ML, 2x MOT, 2x BA, 3x BD, 3x DL, 6x POC


I who made it so far, has very good chances to complete


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Study Progress (Summer Start 2017)

I 26 students started in summer 2017I 4 students left the program

I 1 student had to defer her start to winter


I pending retakesI 2x BD, 2x ML, 3X DL, 4x MOT, 2x S1, 3x S2, 7x POC


I who made it so far, should now start master thesis

I 3 students to defend their thesis this term


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Study Progress (Winter Start 2016/17)I 31 students started in winter 2016/17

I 6 students left the programI due to financial problems (2x)

I no shows (4x)

I 2 students had to defer their start to summer1 student even to next winter (due to visa problems)


I pending retakesI 4x BA, 2x BDA, 2x S1, 4x S2

I 2 student at risk

I 7 students have now graduated

I 2 students to defend their thesis this term


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Pending Retakes for Courses

I few students did not pass some of the 1st and 2nd term courses

I for every course, you can sit 3 examsI for 3 courses during your studies you can get a 4th exam if required

(emergency retake)

I Talk to me before you sit your final exam of a courseI final = 4th retake, or

3rd retake, if all 4th attempts have been used already

I Generally, I recommend to do the final exam orally


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Student Research Projects

I Student Project is 15 ECTS, span over two termsI This term it will have 9 ECTS

I Project submission and exhibition will be in December 05-12-2019

I First progress presentation will held on Wednesday 12-06-2019


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International Master in Data Analytics 2. Courses Current Term

Outline

1. Study Progress



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Courses First Year (Winter Start 2018/19)

1st Term

Nr Module Type CPs

M1 Machine Learning (*) Lecture 6M2 Modern Optimization Techniques Lecture 6M3 Programming Machine Learning Lab 6M4 Seminar Data Analytics I Seminar 4AM1 Application Module I - 6

2nd Term

Nr Module Type CPs

M5 Big Data Analytics Lecture 6M6 Advanced Machine Learning Lecture 6M7 Data and Privacy Protection Lecture 3M8 Distributed Data Analytics Lab 6M9 Seminar Data Analytics II Seminar 4M10 Project (part I) Project 6

(*) students who had Machine Learning already in their Bachelor, please replace this course by an additional choice from themethodological specialization.


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Courses Second Year (Summer Start 2018)

3rd Term

Nr Module Type CPs

M6 Advanced Machine Learning Lecture 6M13 Seminar Data Analytics III Seminar 4M10 Project (part I) Project 9AM2 Application Module II - 6M14 Master Thesis (part I) Project 6

4th Term

Nr Module Type CPs

M12 Project (part II) Project 6M14 Master Thesis (part II) Project 24


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Courses Second Year (Winter Start 2017/18)

3rd Term

Nr Module Type CPs

M11 Planning and Optimal Control Lecture 6MS1 Methodological Specialization Lecture 6M12 Project (part II) Project 9M13 Seminar Data Analytics III Seminar 4AM2 Application Module II - 6

4th TermNr Module Type CPs

M14 Master Thesis Project 30


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Advice Courses This Term

I focus on the mandatory coursesI esp. if you have other obligations such as

I pending additional Bachelor requirements

I failed courses from 1st term to prepare(start to prepare them now)

I invest time into the project continuouslyI arrange regular meetings with your advisor

I German courses (optional):I Basic: Thu. 16:00 – 17:30

I Advanced: Thu. 17:45 – 19:30

I also gives 3 ECTS softskills


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Elective Courses 1: Methodological Specialization

I to deepen your methodological understand andwiden the models and methods you command.

I currently 5 courses:I Business Analytics — Winter

I Computer Vision — every odd Summer: 2019

I Bayesian Networks — every even Summer: 2020

I Advanced Case Based Reasoning – Summer

I Deep Learning — Summer

I you have to choose at least one course (6 CP)I marks of just one course count to your final degree


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Elective Courses 2: Application

I to provide a testbed for applying data analytics methods.

I currently from 6 areas:I Computer Science / Software Engineering

I Computer Science / Media Systems

I Business Administration

I Information Retrieval and Information Sciences

I Natural Language Processing

I Environmental Sciences

I you have to choose courses worth at least 12 CP from one areaI e.g., two lectures with tutorials

I marks of courses worth 12 CP count to your degree


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Welcome Back to the

International Master in Data Analytics!

I wish you successful continuation of your studies!


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international master in data analytics

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