Autonomous Maritime Operations (AMO), 2021: Planering 2021
Code: HYH21-AMO
Descriptions
AMO
This Master's degree programme is for you who are interested to be a part of the fourth industrial revolution in maritime technology.
The Master's degree programme in Autonomous Maritime Operation comprises 60 ECTS and the degree title is Master of Engineering, Autonomous Maritime Operations.
The programme has a special focus concerning the digitalization of maritime operations. The target is to achieve state of the art competence and knowledge in the area of autonomous maritime operations. The studies include 6 courses of relevant subjects each of an extent of 5 credits. Following subjects are covered:
- Introduction to studies and introduction to research methods
- Autonomous vessels-automation
- Artificial Intelligence, Machine Learning, Human-Machine Interaction
- Remote Operations
- Cyber Security and Connectivity
- Classification, Qualification and Safety Perspectives
The part-time studies are constructed for flexible learning and studying, parallel with fulltime employment ashore or at sea. The meetings are mainly used for solving study technical problems, presenting assignments and group reports, and some lecturing. The great part of the studies and instruction is conducted using a learning platform.
The studies are arranged at site and online with the lecture materials, as well as the assignments to be completed online, in the system Moodle. We use Microsoft Teams for communication in the group, both students and teachers. For study administrative things the Peppi system is used. It is recommended but not mandatory for you during the studies to attend some sessions in person at campus. It can namely also be good to meet and network with your peers and thesis supervisor. The lectures that take place on campus will be recorded. We meet on average two days a month. Moreover you have in person, in Turku, to show the student Admission the original certificates used in the application. But we, in consideration of that exception, may with confidence say this is an online program and e.g. moving to Finland is not necessary for the studies. Moreover, such a thing would be something between Finnish Immigrations Service and the student. For people outside EU, this may need a significant amount of paper work and something that NOVIA UAS cannot do much about and the decision is fully made by Finnish Immigrations Service.
We will together make sure the lectures are arranged in a safe manner.
Sustainability and United Nations 17 Sustainable Development Goals, are taken into consideration in the program and moreover many thesises have incorporated sustainability.
Especially numbers 6, 7, 9, 13 and naturally 14 are taken into consideration.
OTHER
Novia UAS and Aboa Mare, the unit for maritime education, co-operates with several universities both internationally and nationally. Co-operation takes place e.g. within R&D projects, student and staff exchange and continuing education. International maritime actors visit Aboa Mare on a regular basis.
Aboa Mare’s location, in the same building as many representatives of maritime authorities, ensures potentials for co-operation with them.
Constructing a thesis subject and the potential collaboration with an organization is at the responsibility of the student.
Alternatives for the thesis are, for example:
an investigation, analysis
a development project, case/s
theoretical work
product development, such as a prototype, process or a model.
Objective
The degree programme has a special focus on the digitalization of maritime operations. The target is to achieve state of the art competence and knowledge in the area of autonomous maritime operations. The degree programme delivers generic competences and programme specific competences.
Select timing, structure or classification view
Show study timings by semester, study year or period
Code | Name | Credits (cr) | 2021-2022 | 2022-2023 | Autumn 2021 | Spring 2022 | Autumn 2022 | Spring 2023 | 1. / 2021 | 2. / 2021 | 3. / 2022 | 4. / 2022 | 5. / 2022 | 1. / 2022 | 2. / 2022 | 3. / 2023 | 4. / 2023 | 5. / 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ADPRO-1009 |
ADVANCED PROFESSIONAL STUDIES
(Choose all) |
30 | 30 | 20 | 10 | 10 | 10 | 10 | ||||||||||
AMO18MI-1003 |
Master Studies - Introduction
(Choose all) |
5 | ||||||||||||||||
MM21AE41 | Studying in the Master's Program | 1 | 1 | 1 | 0.5 | 0.5 | ||||||||||||
AMO21MI02 | Research and Research Methods | 4 | 4 | 4 | 2 | 2 | ||||||||||||
AMO18AV-1003 |
Autonomous Vessels - Automation
(Choose all) |
5 | ||||||||||||||||
AMO18AV01 | Autonomous Vessels - Automation | 5 | 5 | 2.5 | 2.5 | 1.3 | 1.3 | 2.5 | ||||||||||
AMO18AI-1003 |
Artificial Intelligence, Machine Learning, Human - Machine Interaction
(Choose all) |
5 | ||||||||||||||||
AMO18AI01 | Artificial Intelligence, Machine Learning, Human - Machine Interaction | 5 | 5 | 5 | 5 | |||||||||||||
AMO18CS-1003 |
Cyber Security and Connectivity
(Choose all) |
5 | ||||||||||||||||
AMO18CS01 | Cyber Security and Connectivity | 5 | 5 | 5 | 2.5 | 2.5 | ||||||||||||
AMO18RO-1003 |
Remote Operations
(Choose all) |
5 | ||||||||||||||||
AMO18RO01 | Remote Operations | 5 | 5 | 5 | 2.5 | 2.5 | ||||||||||||
AMO18CQ-1003 |
Classification, Qualification and Safety Perspectives
(Choose all) |
5 | ||||||||||||||||
AMO18CQ01 | Classification, Qualification and Safety Perspectives | 5 | 5 | 5 | 2.5 | 2.5 | ||||||||||||
MDT-1003 |
MASTER'S THESIS
(Choose all) |
30 | 10 | 20 | 10 | 10 | 10 | 3.3 | 3.3 | 3.3 | 5 | 5 | 10 | |||||
AMO18MT-1003 |
Master's Thesis
(Choose all) |
30 | ||||||||||||||||
AMO18MT01 | Master's Thesis - Part 1 | 10 | 10 | 10 | 3.3 | 3.3 | 3.3 | |||||||||||
AMO18MT02 | Master's Thesis - Part 2 | 10 | 10 | 10 | 5 | 5 | ||||||||||||
AMO18MT03 | Master's Thesis - Part 3 | 10 | 10 | 10 | 3.3 | 3.3 | 3.3 | |||||||||||
Total | 60 | 30 | 30 | 12.5 | 17.5 | 20 | 10 | 6.3 | 6.3 | 10.8 | 3.3 | 3.3 | 10 | 10 | 3.33 | 3.33 | 3.33 |
Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.
Masters degree
In accordance with F1129/2014 A Master's Degree contains the following studies: 1) Advanced Professional Studies, 2) Elective Studies, 3) Degree Thesis.
Advanced Professional Studies |
Autonomous Vessels - Automation |
Artificial Intelligence, Machine Learning, Human - Machine Interaction |
Cyber Security and Connectivity |
Remote Operations |
Classification, Qualification and Safety Perspectives |
Elective Studies |
No attached course units |
Masters Thesis |
Master's Thesis - Part 1 |
Master's Thesis - Part 2 |
Master's Thesis - Part 3 |
Not grouped |
Studying in the Master's Program |
Research and Research Methods |
Code | Name | Credits (cr) |
---|---|---|
ADPRO-1009 |
ADVANCED PROFESSIONAL STUDIES
(Choose all) |
30 |
AMO18MI-1003 |
Master Studies - Introduction
(Choose all) |
5 |
MM21AE41 | Studying in the Master's Program | 1 |
AMO21MI02 | Research and Research Methods | 4 |
AMO18AV-1003 |
Autonomous Vessels - Automation
(Choose all) |
5 |
AMO18AV01 | Autonomous Vessels - Automation | 5 |
AMO18AI-1003 |
Artificial Intelligence, Machine Learning, Human - Machine Interaction
(Choose all) |
5 |
AMO18AI01 | Artificial Intelligence, Machine Learning, Human - Machine Interaction | 5 |
AMO18CS-1003 |
Cyber Security and Connectivity
(Choose all) |
5 |
AMO18CS01 | Cyber Security and Connectivity | 5 |
AMO18RO-1003 |
Remote Operations
(Choose all) |
5 |
AMO18RO01 | Remote Operations | 5 |
AMO18CQ-1003 |
Classification, Qualification and Safety Perspectives
(Choose all) |
5 |
AMO18CQ01 | Classification, Qualification and Safety Perspectives | 5 |
MDT-1003 |
MASTER'S THESIS
(Choose all) |
30 |
AMO18MT-1003 |
Master's Thesis
(Choose all) |
30 |
AMO18MT01 | Master's Thesis - Part 1 | 10 |
AMO18MT02 | Master's Thesis - Part 2 | 10 |
AMO18MT03 | Master's Thesis - Part 3 | 10 |