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  1. HKR
  2. One Year Master Programme in Computer Science, specialisation in Machine Learning
  1. HKR
  2. One Year Master...
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Are you looking to take your expertise in computer science to the next level and become an expert in machine learning? Are you seeking an exciting and rewarding career with endless possibilities? Study the Master programme in Computer Science, specialising in Machine Learning and take a unique opportunity to develop your skills and knowledge in this exciting field.  

The Master Programme in Computer Science is designed to equip you with the skills and knowledge necessary to excel in the field of machine learning. With a focus on research and development of complex computer systems, we empower you to become a critical thinker with a comprehensive understanding of the subject. 

Computer science, AI and machine learning

Throughout the programme, you will develop advanced expertise in computer science and gain deep insights into the latest technologies and methods related to artificial intelligence and machine learning. Our courses provide a solid foundation and extensive knowledge in the field, enabling you to analyze complex problems and provide innovative solutions.

You will delve into the fascinating world of artificial intelligence and explore the foundations of machine learning. From the fundamentals to the cutting-edge advancements in deep learning and edge computing, our curriculum covers it all. You will also gain hands-on experience working with artificial neural networks, inspired by the intricate workings of the human brain. 

Specialist expertise with great career opportunities

The Master programme in Computer Science offers you the opportunity to specialise and deepen your expertise in machine learning and artificial intelligence (AI) – fields that are constantly evolving and in high demand for qualified specialists.

A master's degree is a crucial step towards enhancing your career prospects and competing for high-level positions. Upon graduation, you have the chance to explore exciting career paths where you can apply your knowledge and skills. Examples of possible roles include:

  • Machine learning specialist
  • Data scientist
  • AI researcher
  • AI consultant
  • NLP (Natural Language Processing) specialist
  • Autonomous systems developer
  • Machine learning architect
  • Financial analyst with a focus on machine learning

A master's degree also opens the door to opportunities in research, where you can contribute to the ongoing developments in computer science and machine learning.

Read more about career path and working life after graduating from the Master programme in Computer Science. 

Ethics and responsibility in machine learning

Ethics and responsible practices are at the core of our program. You will develop the ability to make informed decisions, considering the scientific, societal, and ethical aspects of machine learning. We believe in promoting fairness, transparency, and accountability in the development and deployment of machine learning systems. 

Independent thinking and problem-solving

We foster an environment that encourages independent thinking and problem-solving. You will learn to identify and formulate research questions, plan, and execute qualified tasks within given timeframes, and effectively communicate your findings to diverse audiences. These skills are invaluable in both research and professional settings. 

Industry collaboration

The Master programme in Computer Science is designed in close collaboration with industry and tailored to meet real-world needs. Both large and small companies in the region have served as advisory partners to ensure relevance and practical applicability.

“The professional contacts I developed during my studies have been incredibly useful in my career.”

Deema chose the Master Programme in Computer Science for its up-to-date courses and strong industry connections
– My degree has greatly influenced my career path, providing me with the qualifications and opportunities to advance in academia.

" I chose Kristianstad University for its unique programme that aligns AI and machine learning with sustainability."

Walid Husein, a computer science master's graduate, is passionate about future technologies. Learning new technologies has always been a driving force for him.
– The most rewarding aspects of my studies have been learning new technologies and applying them.

"No other course was more relevant for me"

– You will always find me trying to optimise a workflow or making someone’s load lighter. Couple this with my interest in creating positive irreversible change in society through IT, and it was clear that there was no other course more relevant for me.

”The programme seemed to be a perfect combination”

– I didn't have any experience from sustainability before. I just presumed that it was equal to environment. But this programme actually opened my eyes. Now I know that sustainability can be used on a huge scale and that it's connected to everything we do.

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Tuition fee

135,000 SEK

(EU/EEA Citizens are not required to pay fees)

  • Start 2021
  • Start 2019
  • Start 2018
  • Start 2013

International Scholarships

Kristianstad University annually offers a number of scholarships to eligible international students from outside the EU/EEA and Switzerland.

Contact

Updated: 2025-03-05 by Sofia Johansson

Page responsible: Braco Veletanlic

Short URL: www.hkr.se/computerscience-master

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Kristianstad University is part of the COLOURS European University Alliance, a partnership with eight other European universities.

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Contact

E-mail: info@hkr.se

Phone: +46 (0)44-2503000

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Kristianstad University is part of the COLOURS European University Alliance, a partnership with eight other European universities.

Colours logo.

Contact

E-mail: info@hkr.se

Phone: +46 (0)44-2503000

More contact information

How to get here

In case of emergency
In case of emergency, call 112
The university's security guards:
+46 (0)44-2503650

Shortcuts

  • Canvas Learning platform
  • Email, log in
  • Student portal
  • About cookies
  • Accessibility
© Kristianstad University 2025