Information Technology, Mathematics and Physics - PhD

About the subfield

The subfield has specialisations in cybernetics / signal processing; computer science; physics and mathematics. The doctoral programme is linked to the research within each of these specialisations.

Departments

Computer Science and Electrical Engineering and Mathematics and Physics.

Target Audience

Students with master’s degree in Computer Science, Electrical Engineering, Mathematics or Physics.

Study Courses

One of the following is to be chosen:

• DAT912 Formal Methods for Specifying Systems (10 credits)
• DAT940 Study Courses in Computer Technology (10 credits)
• DAT945 Secure and Robust AI Model Development (10 credits)
• ELE922 Biomedical data analysis (10 credits)
• ELE923 Study Courses in Electrical Technology (10 credits)
• MAF 900 Mathematical Physics and Gravity (10 credits)
• MAT 903 Mathematical analysis III (10 credits)
• MAT910 Topics in Algebraic Geometry (10 credits)
• STA903 General statistical methods (10 credits)
• FYS902 Frontier Quantum Theory (10 credits)
• FYS903 Advanced Methods in Materials Physics (10 credits)

Students select one of these topics depending on their chosen specialisation. Study courses from other universities can also be selected as long as the course covers the learning outcomes for the programme. Approval of such has to be done by the Doctoral Committee.

Project courses

Project courses are supervisor-led and tailored according to the needs of the PhD project.  The following project courses are offered:

• DAT 930 PhD Project in Computer Science (10 credits)
• ELE 920 PhD Project in Cybernetics and Signal Processing (10 credits)
• MAT 902 PhD Project course in Mathematics (10 credits)
• FYS 901 PhD Project Course in Physics (10 credits)