Master’s programme in AI and Machine Learning
120 credits
- 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
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 the 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. If you are a female citizen of one of ten eligible countries and you apply for this program as your first choice, you can also apply for the Swedish Institute Scholarship Pioneering Women in STEM for prospective students. Learn more about scholarships.
Do you have any questions about the programme? Please send them to us using the form on the International Student Guide.
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.
Courses and content
Note! The course list is tentative. See the programme syllabus for an established course list.
Courses autumn semester 2025
Bayesian Statistics, 6 hp
Machine Learning, 6 hp
Applied Artificial Intelligence, 6 hp
Software Architecture, 6 hp
Decision Support Systems, 6 hp
Courses spring semester 2026
ICT Startups and High-Tech Entrepreneurship, 6 hp
Robust Methods, 6 hp
Advanced Machine Learning, 6 hp
Deep Machine Learning, 6 hp
Robotics, 6 hp
Courses autumn semester 2026
Research Methodology in Computer Science, 6 hp
Advanced software engineering project in teams, 18 hp
Technology venture 2: Commercialization of Innovations, 6 hp *
Multiprocessor Programming, 6 hp *
Security, Privacy, and Compliance in Software Systems, 6 hp *
Trusted Systems, 6 hp *
* Valbar kurs
Courses spring semester 2027
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. Read about the selection methods and procedure here.
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.
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.
Translated with DeepL.com (free version)
Good to know
Look below for information about how to apply, entry requirements and important dates.
