Curriculum
Programme provision
In order to obtain the MSc degree in Business Analytics the student must fulfil the following requirements:
- Have passed General Competence Courses adding up to at least 30 points
- Have passed Technological Specialization Courses adding up to at least 30 points
- Have performed an MSc thesis of at least 30 points within the field of the general program
- Have passed a sufficient number of Elective Courses to bring the total number of points of the entire study up to 120.
Curriculum
General Competence Courses
The General Competence Courses ensure that you gain an understanding of the core elements within the degree programme and that you learn to combine technology applications and technological development with economics, management and organization. In addition, you will learn to use your technological expertise in a professional context. You will also learn to describe and indicate solutions to open-ended problems and to work as part of a team where the focus is on interpersonal skills and communication. General Degree Competencies are acquired through courses in the programme's specialized disciplines, and amount to 30 ECTS points.
The following courses are mandatory (counting as 20 ECTS points within the general competencies):
42114 | Integer Programming | 5 | point | E7 (Tues 18-22) |
or | ||||
42137 | Optimization using metaheuristics | 5 | point | Spring F2A (Mon 13-17) |
or | ||||
42112 | Mathematical Programming Modelling | 5 | point | January |
42576 | From Analytics to Action | 5 | point | Spring F1A (Mon 8-12) |
42577 | Introduction to Business Analytics | 5 | point | Autumn E1A (Mon 8-12) |
42578 | Advanced Business Analytics | 5 | point | Spring F3B (Fri 13-17) |
Choose one among the following courses. The course "Innovation in Engineering" is aimed at students with no knowledge about innovation, while "Facilitating Innovation in Multidisciplinary teams" is for students that have already had experince with innovation. Contact the course responibles if you are in doubt, about which course to select.
42504 | Innovation in Engineering | 5 | point | August |
or | ||||
42501 | Innovation in Engineering | 5 | point | June |
or | ||||
42500 | Innovation in Engineering | 5 | point | January |
42505 | Facilitating Innovation in Multidisciplinary teams | 5 | point | August |
or | ||||
42503 | Facilitating Innovation in Multidisciplinary teams | 5 | point | June |
or | ||||
42502 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | January |
The remaining 5 ECTS within general competencies must be achieved by choosing one of the of the following courses:
02806 | Social data analysis and visualization | 5 | point | Spring F3A (Tues 8-12) |
or | ||||
42417 | Simulation in Operations Management | 5 | point | June |
or | ||||
42186 | Model-based machine learning | 5 | point | Spring F4B (Fri 8-12) |
or | ||||
02807 | Computational Tools for Data Science | 5 | point | E7 (Tues 18-22) |
or | ||||
02456 | Deep learning | 5 | point | Autumn E2A (Mon 13-17) |
Technological Specialization Courses
Your technological specialization ensures that you acquire the latest technological expertise within your field. Combined with your MSc Thesis and the opportunity to take specialist courses, you will acquire comprehensive academic and practical expertise in your field at a high international level.
30 ECTS can be freely chosen among the following list of technical specialization courses, or following one of the suggested study lines:
02110 | Algorithms and Data Structures 2 | 5 | point | Autumn E2B (Thurs 8-12) |
02239 | Data Security | 7.5 | point | Autumn E5B (Wed 13-17) |
02417 | Time Series Analysis | 5 | point | Spring F4B (Fri 8-12) |
02425 | Diffusions and stochastic differential equations | 5 | point | Autumn E1B (Thurs 13-17) |
02427 | Advanced Time Series Analysis | 10 | point | Autumn E5 (Wed 8-17) |
02431 | Risk Management | 5 | point | January |
02435 | Decision-Making Under Uncertainty | 5 | point | Spring F4A (Tues 13-17) |
02443 | Stochastic Simulation | 5 | point | June |
02456 | Deep learning | 5 | point | Autumn E2A (Mon 13-17) |
02460 | Advanced Machine Learning | 5 | point | Spring F1B (Thurs 13-17) |
02582 | Computational Data Analysis | 5 | point | Spring F2B (Thurs 8-12) |
02805 | Social graphs and interactions | 10 | point | Autumn E5 (Wed 8-17) |
02806 | Social data analysis and visualization | 5 | point | Spring F3A (Tues 8-12) |
02807 | Computational Tools for Data Science | 5 | point | E7 (Tues 18-22) |
42015 | Energy Economics | 5 | point | Autumn E2A (Mon 13-17) |
42104 | Introduction to Financial Engineering | 5 | point | Autumn E5A (Wed 8-12) |
42108 | Advanced Financial Engineering | 5 | point | Spring F5B (Wed 13-17) |
42111 | Static and Dynamic Optimization | 5 | point | Autumn E2A (Mon 13-17) |
42112 | Mathematical Programming Modelling | 5 | point | January |
42114 | Integer Programming | 5 | point | E7 (Tues 18-22) |
42115 | Network Optimization | 5 | point | Autumn E4B (Fri 8-12) |
42117 | Transport Optimization | 5 | point | Autumn E2B (Thurs 8-12) |
42136 | Large Scale Optimization using Decomposition | 5 | point | Spring F2B (Thurs 8-12) |
42137 | Optimization using metaheuristics | 5 | point | Spring F2A (Mon 13-17) |
42180 | Quantitative modelling of behaviour | 5 | point | Spring F3A (Tues 8-12) |
42186 | Model-based machine learning | 5 | point | Spring F4B (Fri 8-12) |
42380 | Supply Chain Analytics | 5 | point | Spring F5A (Wed 8-12) |
42417 | Simulation in Operations Management | 5 | point | June |
42430 | Project Management | 5 | point | January |
or | ||||
42429 | Project Management | 5 | point | August |
42543 | Management of organizational change | 5 | point | Spring F4A (Tues 13-17) |
42879 | Decision Support and Strategic Assessment | 5 | point | Autumn E2B (Thurs 8-12) |
46755 | Renewables in electricity markets | 5 | point | Spring F2A (Mon 13-17) |
Elective Courses
Students can select their remaining points (up to 30 ECTS points) as elective courses from the list of DTU MSc courses.
Any course classified as MSc course in DTU's course base may be taken for credit as an elective course. This includes general competence and technological specialization courses in excess of the minimal requirements. Master students may choose as much as 10 credit points among the bachelor courses at DTU and courses at an equivalent level from other higher institutions.
Head of Studies
Dario Pacino Associate Professor Phone: +45 45251512 darpa@dtu.dk