Programme Structure

The MSc in Quantum Information Science is a two-year programme offered jointly between University of Copenhagen (UCPH) and the Technical University of Denmark (DTU). Teaching will be both lectures, theoretical exercises, experimental lab work, and live programming of quantum computers.

Upon study start, you will be offered a mentor to guide you through the programme. Among other things the mentor can assist you, when you need to choose your courses and the field you want to specialise in.

During the first semester (block 1 and 2) you will follow courses at UCPH. During the second semester (block 3 and 4) you follow courses at DTU. In the second year of the programme you can choose courses at either university.

Courses

There are three compulsory courses. These will introduce you to the field of quantum information science and quantum computing, as well as to various quantum information technologies and their practical applications:

• Introduction to Quantum Information Science (UCPH)
• Introduction to Quantum Computing (UCPH)
• Applied Quantum Physics: Quantum Information Technology (DTU)

In addition, you can choose between a range of restricted elective courses within Quantum Information Theory (UCPH), Physical Implementation of Quantum Information Processing (UCPH), Experimental Techniques in Quantum Technology (DTU), Quantum Compilers (DTU), and Quantum Algorithms and Machine Learning (DTU).

You can also select between a wide range of elective courses which specialise within aspects of computer science, mathematics or physics.

Do a Project in Practice or Study Abroad

You can use some of your elective courses to do a Project in Practice in collaboration with a company or an organization.

It is also possible to study abroad during your degree. University of Copenhagen has numerous exchange agreements with universities worldwide. You can choose to study abroad for one or two semesters or for a shorter period; for instance take a summer school course.

In particular, the Quantum Information Science programme is part of a new European consortium which will allow students to take part in exchange studies or to follow online courses at other similar programme in Europe.

Master’s Thesis

You finish the programme by doing a thesis which can be either theoretical – with a focus on computer science, mathematics, and/or physics – or experimental.

The thesis can be either 30 or 45 ECTS. You can only do a thesis worth 45 ECTS at University of Copenhagen.

 

The programme can be structured in two ways, depending on the size of your thesis:

Programme Overview – Thesis 30 ECTS

Compulsory courses: 20 ECTS
Restricted elective courses: 40 ECTS
Elective courses: 30 ECTS
Thesis: 30 ECTS

One block each year equals nine weeks of study and 15 ECTS. 

Programme Overview – Thesis 45 ECTS

Compulsory courses: 20 ECTS
Restricted elective courses: 25 ECTS
Elective courses: 30 ECTS
Thesis: 45 ECTS

One block each year equals nine weeks of study and 15 ECTS. 

Restricted Elective Subject Elements

Choose your restricted elective courses from the lists below. Click on each course for a detailed description.

7.5 ECTS are to be covered as restricted elective courses from the following list:

• Physical Implementations of Quantum Information Processing
• Quantum Information Theory

10 ECTS are to be covered as further restricted elective courses from the following list:

• Experimental Techniques in Quantum Technology (DTU) (5 ECTS)
• Quantum Algorithms and Machine Learning (DTU) (5 ECTS)
• Quantum Compilers (DTU) (5 ECTS)

Between 7.5 and 22.5 ECTS are to be covered as further restricted elective courses from the lists above and from the following list:

• Advanced Algorithms and Data Structures
• Advanced Quantum Mechanics*
• Advanced Quantum Mechanics (DTU) (10 ECTS)*
• Analysis in Quantum Information Theory
• Condensed Matter Experiments
• Condensed Matter Theory 1
• Electronic Structure Methods in Material Physics, Chemistry and Biology (DTU) (10 ECTS)
• Experimental Techniques in Quantum Technology (DTU) (5 ECTS)
• Functional Analysis
• Graph Theory (DTU) (5 ECTS)
• Introduction to Artificial Intelligence (DTU) (5 ECTS)
• Machine Learning A
• Machine Learning B
• Network Security (DTU) (5 ECTS)
• Physical Implementation of Quantum Information Processing
• Quantum Algorithms and Machine Learning (DTU) (5 ECTS)
• Quantum Compilers (DTU) (5 ECTS)
• Quantum Information Theory
• Quantum Optics (DTU) (10 ECTS)
• Quantum Photonic Communication (DTU) (5 ECTS)
• Project in Practice (15 ECTS)

*Only one of the courses can be included in the programme.