Data science for cosmology and the early universe
The example study paths have been published also here.
SUGGESTED COURSES
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| ECTS | Period (I-IV) |
|---|---|---|---|
COMPULSORY COURSES |
| 35 |
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| MSc thesis | 30 |
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| Seminar | 5 |
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OPTIONAL COURSES |
| 55-85 |
|
THEOR/ MATH PHYSICS | TCM302 Quantum mechanics IIa | 5 | III |
| TCM303 Quantum mechanics IIb | 5 | IV |
| TCM311 Quantum field theory I | 10 | III, IV |
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PARTICLE PHYSICS | PAP326 Cosmology II | 5 | II |
| PAP332 Introduction to particle physics I | 5 | I |
| PAP335 General relativity | 10 | III, IV |
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DATA SCIENCE | DATA11001 Intro to data science | 5 | I |
| DATA11002 Intro to machine learning | 5 | II |
| DATA12001 Advanced course in machine learning | 5 | IV |
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OTHER STUDIES |
| 0-30 |
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| MAST32001 Computational statistics | 5 | I |
| FYS2081 Cosmology I | 5 | I |
| FYS2085 Scientific computing II | 5 | I, II |
| LSI35002 Bayesian data analysis | 5 | II |
SUGGESTED SCHEDULE
1st YEAR AUTUMN SEMESTER | PAP332 Introduction to particle physics I |
| FYS2081 Cosmology I |
| DATA11001 Intro to data science |
| DATA11002 Intro to machine learning |
| LSI35002 Bayesian data analysis |
| FYS2085 Scientific computing II |
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1st YEAR SPRING SEMESTER | TCM302 Quantum mechanics IIa |
| TCM303 Quantum mechanics IIb |
| TCM311 Quantum field theory I |
| PAP335 General relativity |
| DATA12001 Advanced course in machine learning |
| Find a thesis topic and supervisor |
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2nd YEAR AUTUMN SEMESTER | MAST32001 Computational statistics |
| PAP326 Cosmology II |
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2nd YEAR SPRING SEMESTER |
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| seminar |
| completion of thesis |