Overview

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.

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.

he 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.

Programme Structure

The programme focuses on techniques and applications in machine learning and relevant research methods in the field. The programme consists of four in-depth courses, one application course, one method course and a degree project in computer science with a focus on machine learning comprising 15 credits.Semester 1Artificial Intelligence 7.5 creditsFundamentals of Machine Learning 7.5 creditsDeep Learning 7.5 creditsEdge Machine Learning and the Internet of Things 7.5 credits.Semester 2Applied machine learning 7.5 creditsResearch methods for machine learning 7.5 creditsMaster"s thesis in computer science with focus on machine learning 15 creditsThe order of the courses may change and some course names may be updated.

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-09-02 00:00:00
- Apply before 2027-01-15 00:00:00

Language

English

TOEFL^® IBT

90

Schedule TOEFL®

Credits

60 ECTS

Delivered

On Campus

Campus Location

Kristianstad, Sweden

Disciplines

Computer Sciences Artificial Intelligence Machine Learning View 19 other Masters in Artificial Intelligence in Sweden

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL^® IBT

90

Schedule TOEFL®

Other requirements

General requirements

Bachelor‘s Degree in Computer Science or other equivalent field alternatively Bachelor‘s Degree in Computer Science and Engineering at least 22.5 credits in programming and 22,5 credits in mathematics of which at least 3.5 credits in statistics and verified knowledge of English corresponding to the course English 6 in the Swedish upper secondary school or the equivalent

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

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Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Kristianstad University and/or in Sweden, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

135000 SEK / year

≈ 135000 SEK / year
EU/EEA Applies to you

Applies to you

EU/EEA Nationals

Free

Additional Details

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

Living costs

Kristianstad

Sweden

6600 - 10400 SEK / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Each year Kristianstad University offers a number of scholarships to qualified students from outside the EU/EEA and Switzerland.

For more information: https://www.hkr.se/en/study-at-hkr/non-exchange-student/scholarship/

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

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Scholarships Information

Below you will find Master's scholarship opportunities for Computer Science, specialisation in Machine Learning.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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