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Statistics: Deep Learning and Artificial Intelligence Methods

Course • Master's level • 7.5 credits

Curious about how AI learns? This course gives you a practical and accessible introduction to neural networks and reinforcement learning. You’ll explore modern deep learning methods and see how they’re used in real-world situations. We’ll cover popular algorithms and models.
Application dates

Start

Spring 2026

Level

Master's

Language

English

Place of study

Lund

Course code

STAN47

Application dates

Teaching and learning

You’ll work on projects where you apply techniques to real-world problems. We recommend using R or Python, but you’re free to choose the software you’re most comfortable with – such as Matlab. During the course, you’ll discuss your projects with fellow students and get support from the instructors. You’ll learn how to turn real problems into mathematical models and choose suitable algorithms based on what’s computationally feasible.

Requirements and selection

Prerequisites

STAN45 Statistics: Data Mining and Visualization, 7.5 ECTS, or STAN52 Statistics: Advanced Machine Learning, 7.5 ECTS, or DABN14 Data Analytics and Business Economics: Advanced Machine Learning, 7.5 ECTS, or 90 credits in Statistics and a course in linear algebra that covers matrix calculus, or the equivalent.

Selection criteria

Seats are allocated according to: ECTS (HPAV): 100 %.

Tuition fees

Tuition fees for non-EU/EEA citizens

Citizens of countries outside:

  • The European Union (EU)
  • The European Economic Area (EEA) and
  • Switzerland

are required to pay tuition fees. You pay an instalment of the tuition fee in advance of each
semester.

Tuition fees, payments and exemptions

Full programme/course tuition fee: SEK 16,875
First payment: SEK 16,875

Convert currency – xe.com

Note that you may also need to pay an application fee, or provide proof of exemption.

Application fee

No tuition fees for citizens of the EU, EEA and Switzerland

There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.

In this course you'll learn

  • The basics of machine learning and what you need to know to understand deep learning
  • Different types of neural networks: feed-forward, convolutional and recurrent
  • A brief history of AI and neural networks, plus current research questions in the field

This course suits you if you study statistics, computer science, cognitive science or mathematics. It’s also relevant if you’re interested in language, logic, philosophy or psychology.

How to apply

Course literature

The course literature listed may be updated up to eight weeks before the course begins.

Course literature STAN47 (PDF, New tab)

You’ll work on projects where you apply techniques to real-world problems. We recommend using R or Python, but you’re free to choose the software you’re most comfortable with – such as Matlab. During the course, you’ll discuss your projects with fellow students and get support from the instructors. You’ll learn how to turn real problems into mathematical models and choose suitable algorithms based on what’s computationally feasible.

Applications for this course are currently closed.

You can find information about future application opportunities here.

Prerequisites

STAN45 Statistics: Data Mining and Visualization, 7.5 ECTS, or STAN52 Statistics: Advanced Machine Learning, 7.5 ECTS, or DABN14 Data Analytics and Business Economics: Advanced Machine Learning, 7.5 ECTS, or 90 credits in Statistics and a course in linear algebra that covers matrix calculus, or the equivalent.

Selection criteria

Seats are allocated according to: ECTS (HPAV): 100 %.

Tuition fees for non-EU/EEA citizens

Citizens of countries outside:

  • The European Union (EU)
  • The European Economic Area (EEA) and
  • Switzerland

are required to pay tuition fees. You pay an instalment of the tuition fee in advance of each
semester.

Tuition fees, payments and exemptions

Full programme/course tuition fee: SEK 16,875
First payment: SEK 16,875

Convert currency – xe.com

Note that you may also need to pay an application fee, or provide proof of exemption.

Application fee

No tuition fees for citizens of the EU, EEA and Switzerland

There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.

Contact us

Academic advisor Statistics

Email: studievagledare@stat.lu.se

Phone: +46 46 222 89 21