Master Degree in Information Technology: 17MIT
Code: 17MIT
- Degree title
- Master of Engineering
- Credits
- 60 ects
- Duration
- 1 years (60 cr)
- Start semester
- Spring 2017
Description
MASTER DEGREE IN INFORMATION TECHNOLOGY
Qualification: Master of Engineering
Extent and duration: 60 ECTS, 1 to 1.5 years
Implementation method: multi-modal
Language: English
Unit: School of Construction and Electrical Engineering, Kuntokatu 3, 33520 Tampere
Education coordinator: Head of Degree Programme Ari Rantala / Senior Lecturer Pekka Pöyry
Eligibility: see TAMK’s websites on application and eligibility master’s degrees at www.tamk.fi/en
COMPETENCES DEVELOPED
The objective of the programme is to educate specialized IT professionals who have the competence of a senior designer, system or software architect. The studies focus on the most important applications and methods of modern IT engineering. Internet of Things, big data and project management are also covered. The education adheres to national (NQF) and European (EQF) frameworks.
BASIC VALUES OF EDUCATION
The task of the producer is to bring together and lead various individuals and professional groups. The basis for creative and innovative work is respecting difference, multiple values and multiculturalism. An individual is an active and responsible actor, whose choices can affect cultural processes. Being an IT professional includes thinking of technical and social questions of one’s own professional ethics and expertise area. Responsibility also includes an independent and active attitude towards studying.
TEACHING METHODS
The scope of the degree programme is 60 credits. It consists of Master’s Thesis (30 credits) and advanced professional studies (25 credits), where the focus is on Internet of Things. The Master’s Thesis is a working-life based development project, which also includes writing a report.
The studies can be completed within 1 to 1.5 years alongside work as blended learning. The students are supported to work alongside studies by using an on-line environment and distance education forms a significant part of studies.
STRUCTURE OF DEGREE PROGRAMME
Professional studies 25 cr
Elective studies 5 cr
Master’s thesis 30 cr
In total 60 cr
Select timing, structure or classification view
Show study timings by academic year, semester or period
| Code | Name | Credits (cr) | 2016-2017 | 2017-2018 | Spring 2017 | Autumn 2017 | 3. / 2017 | 4. / 2017 | 1. / 2017 | 2. / 2017 |
|---|---|---|---|---|---|---|---|---|---|---|
| 17MIT-1000 |
ADVANCED PROFESSIONAL STUDIES
(Choose all ) |
25 | ||||||||
| 5I00CV65 | IoT Devices and Data Collection | 5 | 2.5 | 2.5 | 2.5 | 2.5 | 1.3 | 1.3 | 1.3 | 1.3 |
| 5I00CV66 | Data Repositories and APIs | 5 | 2.5 | 2.5 | 2.5 | 2.5 | 1.3 | 1.3 | 1.3 | 1.3 |
| 5I00CV67 | User Interface Applications | 10 | 5 | 5 | 5 | 5 | 2.5 | 2.5 | 2.5 | 2.5 |
| 5I00CV68 | System Engineering and Project Management | 5 | 2.5 | 2.5 | 2.5 | 2.5 | 1.3 | 1.3 | 1.3 | 1.3 |
| 17MIT-1001 |
FREE-CHOICE STUDIES
(Choose ects: 5 ) |
5 | ||||||||
| 5I00CV69 | Big Data and Data Analysis | 5 | 2.5 | 2.5 | 2.5 | 2.5 | 1.3 | 1.3 | 1.3 | 1.3 |
| 17MIT-1002 |
MASTER'S THESIS
(Choose all ) |
30 | ||||||||
| 5I00CI83 | Master's Thesis | 30 | 15 | 15 | 15 | 15 | 7.5 | 7.5 | 7.5 | 7.5 |
| Total | 60 | 30 | 30 | 30 | 30 | 15.2 | 15.2 | 15.2 | 15.2 |
Degree Certificate - Master's Degree (EQF 7)
Structuring for Degree Certificate for Master's Degree, according to AMK legislation. (Basic model).
| Advanced Professional Studies |
| IoT Devices and Data Collection |
| Data Repositories and APIs |
| User Interface Applications |
| System Engineering and Project Management |
| Free-Choice Studies |
| Big Data and Data Analysis |
| Master's Thesis |
| Master's Thesis |
| Unclassified |
| Code | Name | Credits (cr) |
|---|---|---|
| 17MIT-1000 |
ADVANCED PROFESSIONAL STUDIES
(Choose all ) |
25 |
| 5I00CV65 | IoT Devices and Data Collection | 5 |
| 5I00CV66 | Data Repositories and APIs | 5 |
| 5I00CV67 | User Interface Applications | 10 |
| 5I00CV68 | System Engineering and Project Management | 5 |
| 17MIT-1001 |
FREE-CHOICE STUDIES
(Choose ects: 5 ) |
5 |
| 5I00CV69 | Big Data and Data Analysis | 5 |
| 17MIT-1002 |
MASTER'S THESIS
(Choose all ) |
30 |
| 5I00CI83 | Master's Thesis | 30 |
Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.