Search programme

​Use the search function to search amongst programmes at Chalmers. The programme overview and the programme syllabus relating to your studies are generally from the academic year you began your studies.

​​​
Block schedule »   Permissible substitutions »   Programme syllabus »  | Year:  1  2 

Programme overview for  
MPDSC - DATA SCIENCE AND AI, MSC PROGR Academic year: 2022/2023
DATA SCIENCE OCH AI, MASTERPROGRAM
The programme overview is adopted 2022-02-17 by Dean of Education

First Year
Explanations

Dept Course code Module
code
Note Block Course name, Module type Extent/
period
Regular
exam
Re-sit examination
Oct -22 up to Aug -23

AUTUMN TERM
Study period 1
Compulsory courses
37 DAT405 0119 E C Introduction to data science and AI, Written and oral assignments 7,5
11 TMA947 0103  Nonlinear optimisation, Laboratory 1,5
11 TMA947 0203 S Nonlinear optimisation, Examination 6,0 27/10-2022 am J 04/01-2023 am J Change
Elective courses
37 DAT246 0114  A Empirical software engineering, Written and oral assignments 2,5
37 DAT246 0214 S A Empirical software engineering, Examination 5,0 24/10-2022 pm J 05/01-2023 am L 22/08-2023 pm J
37 DAT465 0121 E 1)  A Causality and causal inference, Written and oral assignments 7,5
30 FFR105 0199 E D Stochastic optimization algorithms, Examination 7,5 26/10-2022 pm J 03/01-2023 am J 24/08-2023 am J
16 FFR135 0100 E B+ Artificial neural networks, Examination 7,5 28/10-2022 pm J 04/01-2023 pm J 17/08-2023 pm J
11 MVE187 0117  Computational methods for Bayesian statistics, Project 2,0
11 MVE187 0217 S Computational methods for Bayesian statistics, Examination 5,5 29/10-2022 am J 05/01-2023 pm J Change
70 RRY025 0107 E 1) 2) 3)  C+ Image processing, Examination 7,5 27/10-2022 pm J 04/01-2023 pm J 18/08-2023 pm J
32 SSY340 0117  A Deep machine learning, Project 3,0
32 SSY340 0217 S A Deep machine learning, Written and oral assignments 4,5
45 TEK650 0120 S D Strategic management of technological innovation , Examination 7,5 26/10-2022 pm J DIG 04/01-2023 pm L DIG 16/08-2023 am J DIG
37 TIN093 0114 E 4)  A Algorithms, Examination 7,5 26/10-2022 am J Change 24/08-2023 pm J
11 TMA265 0101 E Numerical linear algebra, Examination 7,5 25/10-2022 pm J 05/01-2023 pm J Change
11 TMA881 0101 E 1)  High performance computing, Examination 7,5 Contact examiner Contact examiner Change

Study period 2
Compulsory courses
11 MVE550 0118  B Stochastic processes and Bayesian inference, Examination 6,0 11/01-2023 am J 05/04-2023 am J 21/08-2023 am J
11 MVE550 0218 S B Stochastic processes and Bayesian inference, Written and oral assignments 1,5
Elective courses
37 DAT450 0120 S 1) 3)  A Machine learning for natural language processing, Written and oral assignments 7,5
32 EEN020 0118  C Computer vision, Project 3,0
32 EEN020 0218 S C Computer vision, Written and oral assignments 4,5
11 MVE095 0106 E 4)  Options and mathematics, Examination 7,5 12/01-2023 am J 04/04-2023 am J
11 MVE172 0120  1)  Basic stochastic processes and financial applications, Laboratory 3,0
11 MVE172 0220 S 1)  Basic stochastic processes and financial applications, Examination 4,5 03/12-2022 am J 03/04-2023 am J
11 MVE190 0108 E Linear statistical models, Examination 7,5 10/01-2023 pm J 04/04-2023 pm J
32 SSY130 0107 S D Applied signal processing, Examination 7,5 11/01-2023 pm J 03/04-2023 pm J 22/08-2023 pm J
32 SSY316 0120 E 1)  B Advanced probabilistic machine learning, Project 7,5
37 TDA251 0107 E C Algorithms, advanced course, Project 7,5
37 TDA357 0106  D+ Databases, Examination 4,5 11/01-2023 pm J 05/04-2023 pm L Change 24/08-2023 pm J
37 TDA357 0206 S D+ Databases, Laboratory 3,0
37 TDA507 0113 E D Computational methods in bioinformatics, Written and oral assignments 7,5
37 TDA596 0107  C Distributed systems, Examination 6,0 10/01-2023 am J 04/04-2023 pm J 16/08-2023 am J
37 TDA596 0207 S C Distributed systems, Laboratory 1,5
45 TEK656 0121 E B Creating technology-based ventures, Examination 7,5 12/01-2023 am J DIG 03/04-2023 am J DIG 21/08-2023 pm J DIG
11 TMA522 0122  1)  Large scale optimization, part A, Examination 6,0 13/01-2023 pm J 03/04-2023 pm J
11 TMA522 0222 S 1)  Large scale optimization, part B, Project 1,5

 
SPRING TERM
Study period 3
Compulsory courses
37 DAT410 0119 E D Design of AI systems, Written and oral assignments 7,5
Elective courses
37 DAT341 0122  4) 5)  B Applied machine learning, Take-home examination 4,0
37 DAT341 0222 S 4) 5)  B Applied machine learning, Written and oral assignments 3,5
32 SSY098 0119  1) 2)  C Image analysis, Project 3,5
32 SSY098 0219 S 1) 2)  C Image analysis, Laboratory 4,0
37 TDA233 0120  4) 5) 5)  B Algorithms for machine learning and inference, Written and oral assignments 3,0
37 TDA233 0220 S 4) 5) 5)  B Algorithms for machine learning and inference, Examination 4,5
37 TDA357 0106  Databases, Examination 4,5
37 TDA357 0206 S Databases, Laboratory 3,0
70 TIF150 0107 E B+ Information theory for complex systems, Examination 7,5
37 TIN093 0114 E 4)  A+ Algorithms, Examination 7,5

Study period 4
Elective courses
37 DAT341 0122  4) 5)  C Applied machine learning, Take-home examination 4,0
37 DAT341 0222 S 4) 5)  C Applied machine learning, Written and oral assignments 3,5
37 DAT440 0120  1)  B Advanced topics in machine learning, Written and oral assignments 3,5
37 DAT440 0220 S 1)  B Advanced topics in machine learning, Examination 4,0
37 DAT470 0121  4)  A Computational techniques for large-scale data, Written and oral assignments 4,5
37 DAT470 0221 S 4)  A Computational techniques for large-scale data, Examination 3,0
37 DAT475 0121  4)  D Advanced databases, Written and oral assignments 3,0
37 DAT475 0221 S 4)  D Advanced databases, Examination 4,5
37 DAT530 0122 E Research-oriented course in data science and AI, Project 7,5
11 MVE166 0122  Linear and integer optimization with applications, part A, Examination 6,0
11 MVE166 0222 S Linear and integer optimization with applications, part B, Project 1,5
11 MVE441 0120  4)  Statistical learning for big data, Project 1,5
11 MVE441 0220 S 4)  Statistical learning for big data, Take-home examination 6,0
32 SSY115 0107 E B Health Informatics, Project 7,5
11 TMS016 0101 S 1)  Spatial statistics and image analysis, Examination 7,5 Contact examiner Change
11 TMS088 0117 E 1)  Financial time series, Examination 7,5 03/01-2023 am J Change


1) Compulsory elective: Compulsory elective course. (DAT440, DAT450, DAT465, MVE172, RRY025, SSY098, SSY316, TMA522, TMA881, TMS016, TMS088): 2 of stated courses are required for the degree
2) Overlap: Only one of the marked courses can be included in the degree (RRY025, SSY098)
3) Recommendation: The course is normally followed during the second year of the Masters programme (DAT450, RRY025)
4) Compulsory elective: Compulsory elective course. (DAT341, DAT470, DAT475, MVE095, MVE441, TDA233, TIN093): 2 of stated courses are required for the degree
5) Overlap: Only one of the marked courses can be included in the degree (DAT341, TDA233)
* Element includes education in another quarter
S Final grade. All module grades are reported before the final grade for the course can be reported.
E The only module in the course. Module grade and grade for the course are reported at the same time.
DIG Digital examination is a examination written in the Inspera system. The student will bring their own computer and access the exam via Safe exam browser
picture

Page manager Published: Thu 03 Nov 2022.