Master’s programme in AI and Machine Learning

120 credits

Choose semester :

Period : 2025-September-01 until 2027-June-06
Location: Campus Karlskrona
Type of instruction: On campus, day-time, full-time

Application code: BTH-90595
Language of instruction: English
Programme syllabus: Download

Apply here

Welcome letter (published 3 weeks before start)

Developing and controlling AI

Are you interested in how the digital tools and machines of the future work and are controlled? Machine learning is largely the basis on which digital giants such as OpenAI, Google, Meta build their technologies, for example ChatGPT. Therefore, knowledge in the field is in demand all over the world and in more and more industries.

What will you study?

The Master’s programme in AI and Machine Learning provides you with both theoretical and practical knowledge and is constantly evolving to keep up with the rapid developments in the field and match the growing need for civil engineers with the right skills. You will take in-depth courses in AI and machine learning, such as Bayesian statistics and security in AI systems. You will take courses in digital ethics and entrepreneurship, research methodology and a project course, where you will put your knowledge into practice. There are also elective courses where you can immerse yourself in what interests you most, and in the last semester you do your degree project.

BTH works closely with industry and business, but also with other areas of education, which means that your education will be in step with developments. You will also have the opportunity to collaborate with companies or public authorities on projects, which will give you practical experience already during your studies, and may also lead to summer jobs, extra jobs during your studies or perhaps employment after graduation.

What does the future look like?

The programme opens up many different career paths. You can work as a machine learning engineer, data analyst, specialist, strategic project manager or in other management positions. The number of possible industries and professional roles is growing every day as technology is used in more and more areas. Potential employers include Sony, Ericsson, Telenor, Volvo, the Police, the Armed Forces and others in technologically innovative industries.

Please contact Admissions Office with any questions regarding the entry requirements.

The tuition fee is SEK 70,000 per semester. One semester corresponds to 30 ECTS credits. EU/EEA citizens are not required to pay fees.

BTH offers a scholarship programme for both prospective students and current students. Learn more about scholarships.

The programme is brand new and some information may be missing from this page. We’ll fill it in as soon as we can, but please get in touch if you have any questions. You can find contact details further down the page.

Courses and content

Courses in the programme

Note! The course list is tentative. See the programme syllabus for an established course list.

* Optional course

Courses spring semester 2027

Master degree project in Computer Science, 30 hp

Selection procedure

Students who apply for a course or programme, and meet the general and specific entry requirements, compete with one another for available places. When there are more qualified applicants than there are places for an education, the places are distributed through a selection. The selection is made according to selection method 1. Read about the selection procedure here.

Evaluations and advisory board

The study programmes at BTH are continuously monitored and developed through yearly follow-up dialogues, course evaluations after each completed course, and programme evaluations. Results from follow-ups and evaluations can lead to changes in the programmes. These changes are always communicated to the students.

Each educational programme is tied to an advisory board that discusses issues such as the quality of the programme, its development, and relevance for the labour market. In the advisory board, or a committee to the advisory board, teachers, external members, students and alumni are represented.

More about the programme

The Master’s Programme in AI and Machine Learning is a two-year programme that provides deep expertise in the rapidly growing field of data science. The programme covers the technologies and methods used to create intelligent systems, including, for example, artificial intelligence (AI), machine learning, neural networks, and ethics of AI. The programme aims to provide you with a strong theoretical foundation while emphasising the practical application and development of technological solutions that can meet the challenges of the future.

First year: Building knowledge and skills in AI/ML

The first year begins with two courses: one in applied AI and one in machine learning. These courses lay the foundation for further studies in the field. In addition to these core courses, during the two-year programme you will have the opportunity to choose advanced elective courses, such as Advanced Machine Learning, Deep Learning, Safety in AI Systems, Digital Ethics, Intelligent Data Analysis, and
AI and engineering methods.

Second year: Specialisation and application

The second year begins with a research methodology course and a project course in software development, in which you will apply your knowledge in practical projects. In the autumn term, there is also an elective course that you choose according to your interests. The programme also offers other courses in machine learning, including courses in robotics, time series and predictive methods.

Master’s thesis

The programme concludes with a Master’s thesis, which forms a significant part of the programme. During the master’s thesis, you conduct your own study based on current research and scientific articles. This means that you will have the opportunity to apply your knowledge to real-world problems and contribute to the development of AI and machine learning. The Master’s thesis will also give you the opportunity to specialise in a defined area, under the supervision of experienced researchers and experts.

Career opportunities

After graduation, you will be well prepared for a variety of career paths. The programme not only provides the technical and analytical skills needed to work in industry, but also a research-oriented skill set that opens doors to postgraduate study. The degree opens doors in AI development, data analytics, software engineering, and technical consulting – or an academic career through doctoral studies focusing on AI and machine learning, for example.

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