At a glance
13 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- 5 ECTSCredits
- 13 weeksDuration
- EnglishLanguage of Instruction
- Campus LyngbyLocation
- Written exam and reportsAssessment
- Part of Machine Learning and Signal Processing focus areaProgramme
Deep learning (DL) is a transformative technology driving advancements in machine perception, particularly in areas like generative AI for images and text. Its applications are expanding rapidly, leading to more accurate medical diagnoses from image analysis, and the development of intelligent applications in healthcare and IT through improved speech and natural language processing. DL also provides powerful tools for data-driven applications such as drug discovery and condition monitoring. This course offers a comprehensive understanding of deep artificial neural network models, including their training methodologies and the computational frameworks used for deployment on graphical processing units. You will explore the capabilities and limitations of these models across various settings, such as classification, regression, sequence modeling, and reasoning in complex environments.
Curriculum
The course covers theoretical foundations, practical applications, and project work, with the first 8 weeks dedicated to teaching and the remaining to project-based learning.
- Part 1 (Weeks 1-8)
- Introduction to statistical machine learning, feed-forward neural networks (FFNN) and error back-propagation.02456
- Convolutional neural networks (CNN) + presentation of student projects.02456
- Sequence modelling, including Transformers for text data.02456
- Tricks of the trade and data science with PyTorch + Start of student projects.02456
- Generative models for unsupervised and semi-supervised learning.02456
- Part 2 (Weeks 9-13)
- Student project work02456
Careers
This course provides a strong foundation for applying deep learning in research and industry, preparing students for advancements in data-driven fields.
- Deep Learning Engineer
- Machine Learning Researcher
- Data Scientist
- AI Specialist
Frequently asked questions
- What are the tuition fees for this Master's programme?
- Tuition fees are 7500 EUR per semester. For the full two-year Master's studies, this amounts to 30000 EUR. These fees apply to non-EU/EEA citizens. The fees are expected to be revised for Autumn 2026.
- Are there any tuition fees for EU/EEA citizens?
- No, EU/EEA citizens are not required to pay tuition fees for this programme.
- What is the duration of the Deep Learning programme?
- The programme consists of two parts, with the first part lasting 8 weeks and the second part lasting 5 weeks, making a total of 13 weeks.
- In which language is the Deep Learning programme taught?
- The language of instruction for the Deep Learning programme is English.
- What are the academic prerequisites for the Deep Learning programme?
- You need a foundation in Calculus, basic linear algebra, probability theory, statistics, machine learning, and Python programming. Specific recommended courses are also listed.
- How do I apply for this programme?
- Admission is typically through an exchange agreement. You must be nominated by your home institution, meet specific academic requirements, and then submit your application materials to DTU.
Entry requirements
PrerequisitesCalculus (chain rule of differentiation), basic linear algebra, basic multivariate probability theory, statistics and machine learning (maximum likelihood, Bayes, over- and underfitting, regularization) and programming in Python. Recommended courses: 02450, 02451, 02452, 01005, (02405/02402/02403/02409), (02002/02631/02632/02633/02634).
Minimum 20 participants.
Fees
Tuition (international)7500 EUR per semester (for 2 years of MSc studies: 30000 EUR). Expected to be revised for Autumn 2026.
Tuition (home)EU/EEA citizens are not required to pay fees.
Living—
Tuition fees are for paying students enrolled in a DTU study program. Non-EU/EEA citizens are considered paying students.
How to apply
1. Check Eligibility and AgreementsConfirm if your home university has an exchange agreement (Erasmus+ or bilateral) with DTU. Check with your home institution's international office.
2. Get NominatedYour home institution must nominate you for exchange admission to DTU.
3. Submit ApplicationOnce nominated, submit your application materials to DTU for review. Final admission decisions are made by DTU.
Scholarships
Independent Research Fund Denmark - Green ResearchUp to DKK 5 million (excl. overhead)
Independent Research Fund Denmark - Research on artificial intelligence in the cancer fieldUp to DKK 5 million (excl. overhead)
Independent Research Fund Denmark - Clinical and independent researchUp to DKK 5 million (excl. overhead)
Frequently asked questions
What are the tuition fees for this Master's programme?
+
Tuition fees are 7500 EUR per semester. For the full two-year Master's studies, this amounts to 30000 EUR. These fees apply to non-EU/EEA citizens. The fees are expected to be revised for Autumn 2026.
Are there any tuition fees for EU/EEA citizens?
+
No, EU/EEA citizens are not required to pay tuition fees for this programme.
What is the duration of the Deep Learning programme?
+
The programme consists of two parts, with the first part lasting 8 weeks and the second part lasting 5 weeks, making a total of 13 weeks.
In which language is the Deep Learning programme taught?
+
The language of instruction for the Deep Learning programme is English.
What are the academic prerequisites for the Deep Learning programme?
+
You need a foundation in Calculus, basic linear algebra, probability theory, statistics, machine learning, and Python programming. Specific recommended courses are also listed.
How do I apply for this programme?
+
Admission is typically through an exchange agreement. You must be nominated by your home institution, meet specific academic requirements, and then submit your application materials to DTU.