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Compulsory courses
Master Programme in Applied AI

Shows course reguirements for this degree.

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Programme content and structure

The program consists of a total of 120 ECTS out of which 90 ECTS are courses at advanced level in the area of Computer Science. The final thesis constitutes 30 ECTS. The program is available by distance and on campus.

During the first year of the programme, you will take courses that focus on the core concept of Applied Artificial Intelligence (AI) and provide you with the appropriate knowledge to continue with more advanced and specialized courses in the second year. In particular, you will gain knowledge in programming needed for using tools within machine learning and AI, in understanding concepts of AI, machine learning, advanced deep learning and pattern recognition. You will understand how AI is connected with various different areas like business development, and healthcare.

During the second year of the programme, you will take courses in advanced data mining and how to apply AI for targeted solutions (e.g., in health, mining, business sector). There are six electable courses in the second year. Courses in the second year broaden your knowledge in the field and they prepare you for the final thesis. 

Swedish for beginners is offered to overseas students. The course is not included in the degree and it is followed in addition to the compulsory courses.

Credits

The programme consists of 120 Credits

Degrees

Entry requirements

A Bachelor's degree or equivalent first-cycle qualification comprising of at least 180 ECTS or a corresponding qualification from an internationally recognised university.

Of these, at least 7.5 ECTS must include courses in programming and 22.5 ECTS in mathematics including courses in Calculus, Linear Algebra and one course in either Logic or in Statistics.

Good knowledge in English, equivalent to English 6

More information about English language requirements , opens in new tab/window

Selection

The selection procedure is based on academic qualifications, quality and quantity aspects.



Compulsory courses

Compulsory courses: 75 Credits

Code Course Cr Level Comment
D0034E Applied AI, Knowledge Management and Reasoning 7,5 First level
D0036E Programming for Machine Learning 7,5 First level
D7043E Advanced Data Mining 7,5 Second level
D7046E Neural networks and learning machines 7,5 Second level
D7047E Advanced deep learning 7,5 Second level
D7054E Data Science Programming 7,5 Second level
E7010N Artificial intelligence and business development 7,5 Second level
New course Applied Artificial Intelligence 7,5 Second level
D7062E Artificial Intelligence and Pattern Recognition 7,5 Second level
M7016H Artificial Intelligence within the Healthcare System 7,5 Second level

Electable courses: 15 Credits

Optional space is 15 credits. It is mandatory to select elective courses up to the given number of credits. The given number of credits of elective courses listed must be met for degree.

Code Course Cr Level Comment
R7020E Computer Vision and Image Processing 7,5 Second level Selectable
New course Embedded intelligence 7,5 First level Selectable
New course Neuromorphic Computing 7,5 Second level Selectable
New course Neurochemistry 7,5 Second level Selectable
R7010E Robotics 7,5 Second level Selectable
New course Human Cognitive Neuroscience 7,5 Second level Selectable

Course offered outside the obligatory courses - not compulsory - For non Scandinavian students: 3 Credits

Optional space is 3 credits. It is mandatory to select elective courses up to the given number of credits. The given number of credits of elective courses listed must be met for degree.

Code Course Cr Level Comment
S0046P Swedish for International Students 1 3,0 First level Selectable

Master thesis: 30 Credits

Code Course Cr Level Comment
New course Master thesis in Artificial Intelligence 30,0 Second level