|Trends in ICT||5|
Advanced professional courses
(Select 15 ECTS)
|Artificial Intelligence and Machine Learning||5|
|Internet of Things||5|
(Select 5 ECTS)
|ECTS credits per period / semester / academic year||30||30||15||15||30||7.5||7.5||7.5||7.5||15||15|
Studies of syllabus is planned so 60 credits are studied in academic year. Planned syllabus may change during studies.
Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.
The degree consists of Professional Studies (30 ECTS credits) and Master’s thesis project (30 ECTS credits). Studies consist of lectures, laboratory work, workshops, assignments, and projects as well as independent studying. The professional studies are offered at the Leppävaara campus.
In the first study year, you will undertake a course in research methods and attend a seminar on Trends in ICT, and complete 20 ECTS from our course offerings for professional studies. You can broaden your studies by completing one course outside the advanced professional courses offering or by doing a research or innovation project on an agreed topic.
The methodological studies provide you the required knowledge to prepare and facilitate a high quality Master’s Thesis. The lectures on Trends in ICT -course are given by professionals from highly esteemed companies in the field of ICT and health technology and will provide you with a good understanding of the current status of the business and the challenges the industry is facing.
The advanced professional courses gives a broad and up-to-date knowledge on this fast developing field of networked applications. Cloud Computing gives an insight into existing and emerging technologies and tools for utilizing and creating cloud-based services and applications. The Big Data course provides understanding of the capabilities of big data in ICT business. The Internet of Things (IoT) course extends this knowledge into internetworking of devices to collect and exchange data to form “the infrastructure of the information society”. Students will also get knowledge of methods and tools used in Artificial Intelligence and Machine Learning.
The second study year (autumn) is reserved for the Master´s Thesis. The study is usually completed in cooperation with your employer.
• Broad view to information technology or health technology presented by leading companies in the ICT or health Technology field
• Up-to-date knowledge on selected topics
• Ability to conduct a professional research study
• Valuable network of experts to boost your career