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Course
MEng in Intelligent Systems

Degree awarded
Master of Engineering



Address
Novia University of Applied Sciences, Wolffinite 33, 65200 Vaasa, Finland

Telephone
+358 (0)6 328 5000

Fax
+358 (0)6 328 5110

E-mail address
registrator(at)novia.fi



Type of course
Part-time

Language of tuition
English

Length of course
2 years (60 ECTS)

Date of commencement
September 2024

Application deadline
17 January 2024

Class size
20 Students

Cost / fees
See below / opposite

Student grants / Financial assistance
See below / opposite

Accommodation
Novia UAS does not offer student accommodation. As a student you are expected to arrange your own living before you arrive in Finland. In Vaasa, apartments can be rented from the Student Housing Foundation (VOAS). You can also search for housing in the private housing market online.

Major recruiters of graduates of our programmes
The degree programme in Intelligent Systems provides the opportunity for a broad interdisciplinary career. After graduation, with a special emphasis on machine learning methods and intelligent system understanding, you will be qualified to work in various expert, development, and management positions in an international industrial environment. The education also offers an excellent basis for a career in research or product development.

Exchange partner schools
The study programme attracts international students with a broad range of experience. Thus, the classroom becomes a melting-pot both culturally and competence-wise. Many students are already active in international business. The network of Novia's international partners offers a wide range of international opportunities.

Student profile
1. Ratio of National / International students: 24 % / 76 %
2. Ratio of Men / Women: 97 % / 3 %
3. Age range: 30-55

Admission requirements
See below / opposite

Principal Lecturer
Ray Pörn
Ray.Poern(at)novia.fi
Mobile: +358 50 431 1281

Contact for application
Admissions office
Address: P.O.Box 6, 65201 Vaasa, Finland
Telephone / Fax: +358 (0)6 328 5055 / +358 (0)6 328 5510



Novia University of Applied Sciences

Master of Engineering in Intelligent Systems


The Master’s degree programme in Intelligent Systems is designed for the professional engineer who wants to deepen his or her knowledge and understanding of the modern techniques for designing and implementing intelligent solutions for industrial purposes. A special emphasis is put on the use of machine learning methods to enable industrial automation, augmented assistance in decision making and exploring the possibilities with generative models.

The ideal candidate for the programme is an engineer with knowledge of data science and programming, industrial automation and equipped with an analytical mindset.

Study Content

The degree title is Master of Engineering and the extension of the studies are 60 ECTS. The degree programme is located in Vaasa, Finland.

Novia UAS offers a renewed curriculum from 2024 for the Master’s programme in Intelligent Systems, with a distinct profile in machine learning and artificial intelligence for industrial applications. The curricula include the practical application of machine learning methods for intelligent industrial automation. Both model-based and data-based methods are covered. Specific applications may include automatic quality control, data-driven fault detection, techniques for predictive and forecasting purposes and the study of generative models.

The degree program is linked to the Intelligent Systems Institute at Novia, which focuses on making applied intelligent systems knowledge and recourses readily available for companies. More information about the Intelligent Systems Institute can be found here on Novia's website.

The Master’s degree programme in Intelligent Systems (60 ECTS) consists of:
  • Introduction to intelligent systems, 5 ECTS
  • Dynamical systems, 5 ECTS
  • Machine learning methods, 5 ECTS
  • Development of intelligent automation systems, 5 ECTS
  • Industrial artificial intelligence, 5 ECTS
  • Machine sensing project, 5 ECTS
  • Master’s thesis, 30 ECTS
The studies are primarily designed for students who are working. Tuition in the Master’s degree programme is organized so that studying can be combined with full-time work during a period of two years. During these two years, the studies are scheduled for two days a month from September to June.

The studies consist of virtual parts and intensive course days mainly at Campus Vaasa. The studies of the programme involve not only theoretical lectures but also practical ways of learning, laboratory assignments and hands-on exercises in innovative learning environments.

The learning process is characterized by a strong integration of real working life problems and development projects. The thesis work is realized as a research and development project related to working life.


Degree Project

The Master’s thesis comprises of 30 ECTS. In the Master’s thesis work the student plans and implements a development project in and/or for real working life, typically for his/her employee organization, applying case specific research and/or development approaches. In the Master’s thesis student completes research and contributes to knowledge and understanding in the field of intelligent systems.

Alternatives for the thesis are for example contributing to research work at the university community, development projects for the laboratory research equipment or studies regarding solving intelligent automation tasks with the industry or working life.


Application

Apply online here at Studyinfo.fi.
Application begins: January 3, 2024 at 08:00 AM UTC+2.
Application ends: January 17, 2024 at 03:00 PM UTC+2. Read more at Novia.fi about the application process.


Cost / Fees

The studies at Novia UAS are free for EU citizens. Non-EU/EEA students are liable to pay tuition fees. Information about tuition fees for students that commence their studies in the fall of 2024 will be published here on Novias webpagein October 2023.

More information about tuition fees can be found in the Am I required to pay tuition fees? section at Studyinfo.


Student grants / Financial assistance

Information about the scholarships criteria for students that commence their studies in the fall of 2024 will be published here on Novias webpagein October 2023.


Other courses offered by Novia University of Applied Sciences

  • MEng in Autonomous Maritime Operations
  • MEng / M.Sc. in Maritime Management



  • About Novia University of Applied Sciences

    Novia University of Applied Sciences is the largest Swedish-speaking UAS in Finland with over 4 750 students. With traditions dating back to 1813, Novia UAS offers multidisciplinary higher education with a practical orientation. We train students to become experts and developers based on the requirements of working life and has a close working relationship with the business community as well as an active alumni network. High quality degree programs provide students with a proper platform for their future careers.

    Novia's area of activity is located along the Finnish coast and the University of Applied Sciences operates in Vaasa, Turku, Raasepori, and Pietarsaari. We offer higher education at both Bachelor's and Master's levels as well as further education in Swedish and English within the following fields:
    • Technology and Seafaring
    • Health and Welfare
    • Business
    • Bioeconomy
    • Arts and Humanities
    The Master's degree programme in Intelligent Systems is located at Campus Vaasa. The campus is an active and international environment for students at Novia UAS. The modern facilities, wide range of degree programmes, and good workplace/internship opportunities within the relevant industries, both in the private and the public sector, provide an attractive study environment.

    In the city of Vaasa, energy is a positive force that is not only visible in business, but also in people's everyday lives and the development of the city. The Nordic Energy Capital is a unique combination of modern internationalism, young enthusiasm, innovative know-how as well as peace and tranquillity.