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6MDSI · The programme on Studieinfo ↗

Master's Programme in Data Science and Information Engineering

The figure next to each course is the share who passed the ordinary sittings of its main exam over the last 5 years, with the number of students. A grey dash means there are no statistics.

Semester 1

All courses here are hidden –

Period 1

Courses, semester 1 period 1
CoursePass the ordinary exam
TSEI50 compulsory Linear Systems63% 138 students
TSKS19 compulsory Mathematical Methods of Machine Learning and Data Science–

Period 1, 2

Courses, semester 1 period 1, 2
CoursePass the ordinary exam
TSKS35 compulsory Information and Communications Engineering59% 56 students

Period 2

Courses, semester 1 period 2
CoursePass the ordinary exam
TSBB36 compulsory Multidimensional Signal and Image Analysis57% 42 students
TSKS33 compulsory Complex Networks and Big Data87% 234 students

Semester 2

All courses here are hidden –

Period 1

Courses, semester 2 period 1
CoursePass the ordinary exam
TSKS36 compulsory Digital and Wireless Communications–
Elective courses, semester 2 period 1
CoursePass the ordinary examPass the re-examGet high gradesStudents
TDDD41 Data Mining - Clustering and Association Analysis81% 218 students77% 47 students52%265 students265
TSBB34 Computer Vision for Video Analysis97% 73 students–48%73 students73

High grades are 4, 5, VG, A or B. Students counts everyone who sat the main exam, ordinary and re-exams, over the last 5 years.

Period 1, 2

Elective courses, semester 2 period 1, 2
CoursePass the ordinary examPass the re-examGet high gradesStudents
TDDD95 Algorithmic Problem Solving100% 218 students–29%218 students218

High grades are 4, 5, VG, A or B. Students counts everyone who sat the main exam, ordinary and re-exams, over the last 5 years.

Period 2

Elective courses, semester 2 period 2
CoursePass the ordinary examPass the re-examGet high gradesStudents
TDDE07 Bayesian Learning59% 85 students53% 45 students34%130 students130
TSBB18 Embedded Perception Systems100% 17 students––17
TSBB33 3D Computer Vision59% 41 students93% 14 students24%55 students55
TSBK38 Image and Audio Compression84% 69 students100% 5 students35%74 students74
TSKS16 Signal Processing for Communications100% 52 students––52
TSRT14 Sensor Fusion50% 242 students68% 63 students17%305 students305

High grades are 4, 5, VG, A or B. Students counts everyone who sat the main exam, ordinary and re-exams, over the last 5 years.

Semester 3

All courses here are hidden –

Period 1

Courses, semester 3 period 1
CoursePass the ordinary exam
TSKS18 compulsory Generative AI for Data Compression and Transmission–
Elective courses, semester 3 period 1
CoursePass the ordinary examPass the re-examGet high gradesStudents
TSBB08 Digital Image Processing79% 209 students74% 19 students46%228 students228
TSBB19 Machine Learning for Computer Vision91% 194 students67% 6 students49%200 students200
TSIN01 Information Networks83% 72 students–67%72 students72
TSRT92 Modelling and Learning for Dynamical Systems73% 261 students75% 55 students34%316 students316

High grades are 4, 5, VG, A or B. Students counts everyone who sat the main exam, ordinary and re-exams, over the last 5 years.

Period 1, 2

Elective courses, semester 3 period 1, 2
CoursePass the ordinary examPass the re-examGet high gradesStudents
TSKS25 Project Course in Signal Processing, Communications and Networking––––

High grades are 4, 5, VG, A or B. Students counts everyone who sat the main exam, ordinary and re-exams, over the last 5 years.

Period 2

Courses, semester 3 period 2
CoursePass the ordinary exam
TSKS20 compulsory Radar- and Sensor Systems–
Elective courses, semester 3 period 2
CoursePass the ordinary examPass the re-examGet high gradesStudents
TSKS38 Distributed Information Processing and Machine Learning47% 17 students80% 5 students32%22 students22

High grades are 4, 5, VG, A or B. Students counts everyone who sat the main exam, ordinary and re-exams, over the last 5 years.

Semester 4

All courses here are hidden –

Period 1, 2

Courses, semester 4 period 1, 2
CoursePass the ordinary exam
TQXX30 compulsory Degree project - Master’s Thesis–