Master's Degree Programme in Information Technology (in English): Master´s Degree Programme in Information Techonology
Code: T1620S6
Descriptions
The program is targeted for professionals in working life wishing to become a Master in Information Technology. Studies are designed and implemented in such a way that students in full-time employment can participate. Prerequisite for participation is a bachelor level degree in engineering and at least two years of working life experience is required. There is no entrance exam. The student selection is based on two preliminary assignments, see details in application pages.
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 Karamalmi campus.
In the first study year, you will undertake a course in research methods and attend a seminar on Trends in ICT (total 10 ECTS). In addition, you need to complete 15 ECTS from our course offerings for advanced professional studies plus one elective course (which can be from our course offering for advanced professional studies). The elective course can be a course from other Metropolia Master's program or an online course (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 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. Cyber Security gives an insight into existing and emerging technologies and challenges faced in this increasingly important field. The IT Project Management provides understanding on how to conduct a successful IT project from business, technical and ethical point of view. 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”. The Artificial Intelligence (AI) and Machine Learning course will provide students with an overview of recent developments in AI with emphasis on machine learning and reinforcement learning.
The second study year (autumn) is reserved for the Master´s Thesis. The study is usually completed in cooperation with your employer.
Objective
• Broad view to information technology presented by leading companies in the ICT
• Up-to-date knowledge on selected topics
• Ability to conduct a professional research study
• Ability to evaluate and develop your own knowledge and capabilities
• Valuable network of international experts to boost your career
Select timing, structure or classification view
Show study timings by semester, study year or period
| Code | Name | Credits (cr) | 2020-2021 | 2021-2022 | Autumn 2020 | Spring 2021 | Autumn 2021 | 1. / 2020 | 2. / 2020 | 3. / 2021 | 4. / 2021 | 1. / 2021 | 2. / 2021 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| T1620S6-1001 |
Common Courses
(Choose all ) |
10 | |||||||||||
| IT00CE19 | Trends in ICT | 5 | |||||||||||
| XX00EJ16 | Research Methods and Skills | 5 | |||||||||||
| T1620S6-1002 |
Advanced Professional Courses
(Choose ects: 15) |
15 | |||||||||||
| IT00DP82 | Artificial Intelligence and Machine Learning | 5 | |||||||||||
| IT00CR95 | Internet of Things | 5 | |||||||||||
| IT00DV52 | Cyber Security | 5 | |||||||||||
| IT00DV53 | IT Project Management | 5 | |||||||||||
| T1620S6-1003 |
Elective Studies
(Choose ects: 5) |
5 | |||||||||||
| T1620S6-1004 |
Master’s Thesis
(Choose all ) |
30 | |||||||||||
| IT00EF16 | Master’s Thesis | 30 | |||||||||||
| Total | 60 | 30 | 30 | 15 | 15 | 30 | 7.6 | 7.6 | 7.6 | 7.6 | 15 | 15 |
Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.
STRUCTURE Master (A18.12.2014/1129)
Asetuksen 18.12.2014/1129 mukainen rakenne. 2 § Opintojen rakenne Ylempään ammattikorkeakoulututkintoon johtaviin opintoihin kuuluu: 1) syventäviä ammattiopintoja; 2) vapaasti valittavia opintoja; 3) opinnäytetyö.
| Master´s Thesis |
No attached course units |
| Advanced Professional Studies |
| Trends in ICT |
| Research Methods and Skills |
| Artificial Intelligence and Machine Learning |
| Internet of Things |
| Cyber Security |
| IT Project Management |
| Master’s Thesis |
| Elective Studies |
No attached course units |
| Not grouped |
Metropolia's Generic Competences::Master's Degree, UAS
Metropolian johtoryhmä hyväksynyt 10.9.2019. Esityksen valmisteli työryhmä: Tapani Martti, Marjatta Kelo, Kari Björn, Elina Värtö, Tiina Kokko. Lähteinä on käytetty mm. ARENEn suositus tutkintojen yhteisten kompetenssien soveltamisesta ammattikorkeakouluissa (2010), Valtioneuvoston asetus tutkintojen ja muiden osaamiskokonaisuuksien viitekehyksestä 120/2017, Valtioneuvoston tulevaisuusselonteot 1 & 2 (2017-2018) sekä Opetus- ja kulttuuriministeriön tulevaisuuskatsaus 2018.
|
Ethical Competence
- is able to take responsibility for the actions of a community and their consequences as well as to evaluate the effects of the actions |
| Research Methods and Skills |
| Artificial Intelligence and Machine Learning |
| IT Project Management |
|
Innovation Competence
- is able to create new knowledge and improve existing working methods by combining expertise from different fields |
| Trends in ICT |
| Research Methods and Skills |
| Master’s Thesis |
|
Multicultural Competence
- is capable of managing and developing multicultural,international networks and working communities |
| Trends in ICT |
| IT Project Management |
|
Learning Competence
- lifelong learning competence:is able to self-evaluate and develop one's expertise in a versatile and focused way |
| Research Methods and Skills |
| IT Project Management |
| Master’s Thesis |
|
Technological Competence
- is able to apply technological opportunities in management, expert and development work |
| Artificial Intelligence and Machine Learning |
| Internet of Things |
| Cyber Security |
|
Working Community Competence
- is able to develop and lead the operation of a diverse and multidisciplinary work community and to improve its wellbeing and productivity |
| Trends in ICT |
| IT Project Management |
| Master’s Thesis |
| Not grouped |
| Code | Name | Credits (cr) |
|---|---|---|
| T1620S6-1001 |
Common Courses
(Choose all) |
10 |
| IT00CE19 | Trends in ICT | 5 |
| XX00EJ16 | Research Methods and Skills | 5 |
| T1620S6-1002 |
Advanced Professional Courses
(Choose ects: 15) |
15 |
| IT00DP82 | Artificial Intelligence and Machine Learning | 5 |
| IT00CR95 | Internet of Things | 5 |
| IT00DV52 | Cyber Security | 5 |
| IT00DV53 | IT Project Management | 5 |
| T1620S6-1003 |
Elective Studies
(Choose ects: 5) |
5 |
| T1620S6-1004 |
Master’s Thesis
(Choose all) |
30 |
| IT00EF16 | Master’s Thesis | 30 |