Outline for Master's Programme in Data Science

• 120 credits
• Programme code: TDA2M
• Specialization Code: DAEN
• Established: 2019-10-22
• Revised: 2023-02-27
• Revised by: The Faculty Board of Science and Technology
• Reg. no: TEKNAT 2022/136
• Outline applies from: Autumn 2023
• Responsible faculty: Faculty of Science and Technology
• Responsible department: Department of Information Technology

Semester 1

Period 1

• Introduction to Data Science, 5 (out of 10) credits (1MS041)
  Main field(s) of study and in-depth level: Mathematics A1N, Data Science A1N, Computer Science A1N
• Data, Ethics and Law, 5 credits (1DL002)
  Main field(s) of study and in-depth level: Data Science A1N, Image Analysis and Machine Learning A1N, Human-Computer Interaction A1N, Computer Science A1N

Eligible courses:

• Computer Programming II, 5 credits (1TD722)
  Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
• Algorithms and Data Structures I, 5 credits (1DL210)
  Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
• Modelling for Combinatorial Optimisation, 5 credits (1DL451)
  Main field(s) of study and in-depth level: Computer Science A1N
• Scientific Computing for Data Analysis, 5 credits (1TD352)
  Main field(s) of study and in-depth level: Computer Science G2F, Technology G2F
• Linear Algebra for Data Science, 5 credits (1MA330)
  Main field(s) of study and in-depth level: Mathematics A1N, Data Science A1N
• Probability Theory II, 5 credits (1MS036)
  Main field(s) of study and in-depth level: Mathematics G2F
• Software Engineering and Project Management, 5 credits (1DL251)
  Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N
• Mathematical Modelling of Football, 5 credits (1RT001)
  Main field(s) of study and in-depth level: Computer Science A1N, Image Analysis and Machine Learning A1N, Mathematics A1N, Data Science A1N

Period 2

• Introduction to Data Science, 5 (out of 10) credits (1MS041)
  Main field(s) of study and in-depth level: Mathematics A1N, Data Science A1N, Computer Science A1N
• Statistical Machine Learning, 5 credits (1RT700)
  Main field(s) of study and in-depth level: Technology A1N, Image Analysis and Machine Learning A1N, Mathematics A1N, Computer Science A1N, Data Science A1N

Eligible courses:

• Database Design I, 5 credits (1DL301)
  Main field(s) of study and in-depth level: Computer Science G2F, Technology G2F, Sociotechnical Systems G2F
• Optimisation, 5 credits (1TD184)
  Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N, Computational Science A1N
• Inference Theory II, 5 credits (1MS037)
  Main field(s) of study and in-depth level: Mathematics G2F
• Database Design II, 5 credits (1DL400)
  Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N

Semester 2

Period 3

• Data Engineering I, 7.5 credits (1TD069)
  Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N, Computational Science A1N
• Theoretical Foundations for Data Science, 7.5 credits (1MS047)
  Main field(s) of study and in-depth level: Mathematics A1F, Data Science A1F
• Bayesian Statistics DS, 7.5 credits (1MS031)
  Main field(s) of study and in-depth level: Mathematics A1N

1MS031 is given odd years

Period 4

• Data Engineering II, 7.5 credits (1TD075)
  Main field(s) of study and in-depth level: Computer Science A1F, Data Science A1F, Computational Science A1F
• High Performance and Parallel Computing, 7.5 credits (1TD064)
  Main field(s) of study and in-depth level: Computational Science A1N, Data Science A1N, Computer Science A1N
• Security and Privacy, 7.5 credits (1DT098)
  Main field(s) of study and in-depth level: Computer Science A1F, Data Science A1F, Technology A1F
• Degree Project D in Data Science, 15 credits (1DL390)
  Main field(s) of study and in-depth level: Data Science A1E

Semester 3

Period 1

• Data Mining, 7.5 credits (1DL370)
  Main field(s) of study and in-depth level: Computer Science A1F, Data Science A1F
• Accelerator-Based Programming, 7.5 credits (1TD055)
  Main field(s) of study and in-depth level: Computer Science A1F, Computational Science A1F

Period 2

• Project in Data Science, 15 credits (1DL507)
  Main field(s) of study and in-depth level: Data Science A1F, Technology A1F

Or:

• Project in Data Science, 7.5 credits (1DL505)
  Main field(s) of study and in-depth level: Data Science A1F
• Computer-Intensive Statistics and Data Mining DS, 7.5 credits (1MS043)
  Main field(s) of study and in-depth level: Mathematics A1N, Data Science A1N, Computer Science A1N

Semester 4

• Degree Project E in Data Science, 30 credits (1DL510)
  Main field(s) of study and in-depth level: Data Science A2E