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PROGRAMME SYLLABUS

This translation is for information purposes only. In the event of discrepancies, the Swedish-language version takes precedence.

Master in AI and Automation, 120 Credits

Master i AI och automation, 120 Högskolepoäng

Programme code: TAMAI

Higher education qualification: Degree of Master of Science (120 credits) with specialization in AI and automation

Cycle: Second cycle

Established: 2024-09-12

Established by: Department of Engineering Science

Applies for: Programme start autumn 2025

Entry requirements

Degree of Bachelor of Science in computer engineering, electrical engineering, mechanical engineering, or industrial engineering and management. Additionally, the Bachelor of Science degree must be comprised of a minimum of 5 HE credits in programming and 15 HE credits in mathematics. Verified knowledge of English corresponding to the course English 6 in the Swedish Upper Secondary School (high school) or equivalent.

Language of instruction

The teaching is conducted in English

Other regulations

A student who has been admitted to a programme with this programme syllabus is guaranteed a place on courses according to the study plan below, provided that the student follows the programme according to the study plan. The study plan and its courses may however be subject to change, within the framework of the qualitative targets, when revisions of education plans and syllabi are being made. Should the programme involve choosing a specialization, the student is guaranteed a place on courses concerning the chosen specialization.

Qualitative target

National outcomes

Degree of Master (120 credits) [Masterexamen]

Scope

A Degree of Master (120 credits) is awarded after the student has completed the courses required to gain 120 credits with a defined specialisation determined by each higher education institution itself, of which at least 60 credits are for specialised study in the principal field (main field of study) of the study programme. In addition the prior award of a Degree of Bachelor, a Degree of Bachelor of Fine Arts, a professional or vocational qualification of at least 180 credits or a corresponding qualification from abroad is required.

The requirement of the prior award of a qualification may be waived for a student admitted to the programme without the basic entry requirement in the form of a qualification. This does not, however, apply if a waiver was granted during admission pursuant to the second paragraph of Section 28 of Chapter 7 on the grounds that the qualification had not yet been issued.

Outcomes

Knowledge and understanding

For a Degree of Master (120 credits) the student shall

Competence and skills

For a Degree of Master (120 credits) the student shall

Judgement and approach

For a Degree of Master (120 credits) the student shall

Independent project (degree project)

A requirement for the award of a Degree of Master (120 credits) is completion by the student of an independent project (degree project) for at least 30 credits in the main field of study. The degree project may comprise less than 30 credits, however no less than 15 credits, if the student has already completed an independent project in the second cycle for at least 15 credits in the main field of study or the equivalent from a programme of study outside Sweden.

Miscellaneous

Specific requirements determined by the each higher education institution itself within the parameters of the requirements laid down in this qualification descriptor shall also apply for a Degree of Master (120 credits) with a defined specialisation.

Courses that the study programme comprises

CYB600 | Cybersecurity | 2.5 hp | A1N | Computer Engineering, Computer Science

IAU600 | Industrial Automation | 3.5 hp | A1N | Automation, Production Technology

IAI600 | Introduction to Artificial Intelligence and Machine Learning | 7.5 hp | A1N | Automation, Computer Engineering, Computer Engineering

MFA600 | Mechatronics for Automation | 3.5 hp | A1N | Automation, Production Technology

PFA600 | Programming for Automation | 4 hp | A1N | Computer Engineering, Computer Science

RBK600 | Robot Certificate | 1.5 hp | A1N | Automation, Mechanical Engineering, Production Technology

STB600 | Sensor Technology and Image Analysis | 7.5 hp | A1N | Automation, Production Technology

BAD700 | Big Data Processing and Analysis | 4 hp | A1F | Automation, Computer Engineering, Computer Engineering

DIL700 | Deep Learning | 7.5 hp | A1F | Automation, Computer Engineering, Computer Engineering

RTF600 | Feedback Control, Advanced Course | 7.5 hp | A1F | Automation, Production Technology

MAI602 | Human-AI Interaction | 7.5 hp | A1F | Automation, Computer Engineering, Computer Engineering

INA700 | Industrial AI | 3.5 hp | A1F | Automation, Production Technology

ICS700 | Industrial Control Systems | 6 hp | A1F | Automation, Production Technology

MUA600 | Multi-Agent Systems | 5 hp | A1F | Automation, Production Technology

PAI700 | Project Work in Artificial Intelligence and Automation | 7.5 hp | A1F | Automation, Production Technology

SAU700 | Sustainable Automation | 4 hp | A1F | Automation, Production Technology

SRT700 | Systems and Control | 7.5 hp | A1F | Automation, Production Technology

EXA600 | Master Thesis in AI and Automation | 30 hp | A2E | Automation, Production Technology

Preliminary course of study

The course of study presents the order and when in time courses in a programme are given. To see the programmes preliminary course of study, see hv.se

Entry requirements within the programme

For admission to the course Master Thesis in AI and Automation 30 hp, completed courses of 60 hp within the program are required, including the course Project Work in Artificial Intelligence and Automation 7,5 hp, or equivalent.

Work Integrated Learning (WIL)

Work-Integrated Learning (WIL) has been a part of University West ever since it was founded and is our overarching profile. Our programmes, research, and collaborations all feature a WIL element, and it permeates all that we do here. Together with our collaborators, who come from private, public, and civic areas of society, we develop and exchange knowledge that will lead to a sustainable world. As a student at University West, you will encounter work-integrated learning in several ways. This may be, for example, in the classroom or lecture hall, in your practical work, or in something you are involved in outside of the university setting. WIL clearly integrates theory and practice. The advantage of WIL is that you earn an academic degree while also gaining work experience, make contacts, and acquire practical competence. You are better equipped for employment, and are prepared for life-long learning, new insights, and cutting-edge research. WIL is part of our programmes and takes on various forms as we continue to develop our methods of integrating theory and practical knowledge.

WIL certification

WIL certification is a quality indicator. It shows that the university works systematically and in depth with work-integrated learning and that WIL is anchored in the university's programmes in a systematic way. When a programme is certified, it means that it reaches a number of quality criteria and that it is broadly characterized by WIL activities and WIL components throughout the education as a whole. In other words, WIL certification ensures a pedagogical design of the programme where the link between theoretical and practical knowledge is justified in collaboration with actors in the surrounding society and is clarified in relation to the programme's goals and content.
The programme is certified since 2024-09-05