Data Science and Information Engineering
This programme teaches methods for analysis, processing and transmission of large-scale data and signals, using tools from machine learning, signal processing, and information and communication theory. Choose among three specialisations: Images and Vision, Data Science, and Connectivity. Project work is offered in collaboration with tech companies.
We are living in an increasingly networked society. The emergence of new applications such as augmented, virtual and extended reality, and the Internet of Things, are set to revolutionise the coming decades. The exponential growth in the capability of artificial intelligence and machine learning, and the proliferation of wireless communication devices, require skilled engineers to drive technological development and inspire new inventions. This programme provides tools to develop these new technologies. It is highly competitive – you must possess advanced skills in mathematics, programming, and a dedication to your education.
Complex networks and signal analysis
Mandatory courses include machine learning, complex networks and big data, multidimensional signal analysis, information and communications engineering, as well as distributed information processing and learning.
From the second semester you follow one of these specialisations:
- Images and Vision: Courses mainly on image processing and computer vision.
- Data Science: Advanced information processing and machine-learning knowledge for the analysis of and inference from big data.
- Connectivity: Wireless systems and their fundamentals, with a range of courses on communications and information storage, compression, and transmission.
Į magistro studijų programas gali stoti visi, baigę universitetą arba besimokantys paskutiniame kurse. Studijos kurias baigei ar tebesimokai turi būti panašios krypties kaip ir tos, į kurias nori stoti, kadangi priėmimas yra paremtas ECTS kreditų suderinamumu.
ECTS kreditų išrašas - jei dar nesi baigęs aukštosios mokyklos, būtina prisegti ECTS kreditų išrašą, kuriame būtų matyti, kokius dalykus Tu mokeisi bei kokius pažymius ir kiek kreditų už juos gavai. Kai siunti anketą paskutiniame kurse, diplomą reikia prisegti vėliau, kai tik jį gausi.
Jei dar nesi baigęs aukštosios mokyklos, prie anketos būtinai turi prisegti šį užpildytą dokumentą, patvirtinantį, kad studijuoji ir šiais metais baigsi savo studijas. Dokumentas turi būti patvirtinas universiteto administracijos.
Bakalauro diplomas – jei jau esi baigęs aukštąją mokyklą, išrašo nereikia, užtenka prie anketos prisegti savo Bakalauro diplomą.
Svarbu, jog anglų kalbos testo sertifikatą ir visus kitus reikalingus dokumentus atsiųstum iki balandžio 10d. Anglų kalbos žinias gali patvirtinti vienu iš šių būdų:
IELTS – 6.5 (ne mažiau nei 5.5 iš kiekvienos dalies).
TOEFL - 90. Ne mažiau 20 (iš 30) taškų turi būti surinkta writing dalyje. TOEFL testo rezultatai privalo būti nusiųsti tiesiogiai iš centro, kuriame laikei testą.
Išimtis! Asmenims, turintiems brandos atestatą, kuriame nurodytas anglų kalbos B2 lygis anglų kalbos testo laikyti nereikia
A bachelor's degree with a major in one of the following or equivalent subject areas:
- electrical engineering
- computer engineering
- computer science
- applied physics
- mathematics
30 ECTS credits in mathematics/applied mathematics, including courses in linear algebra and probability theory.
A course in basic programming.
A course in signals and systems.
English corresponding to the level of English in Swedish upper secondary education (English 6).
Work as an engineer or continue with research
The programme prepares you for a career as engineer in industry. If you are interested in research, you will also be qualified for postgraduate studies towards a PhD degree.
Excellent research opportunities
Linköping University has world-class research in computer vision, data science, and the development of 6G – the next-generation cellular network technology. As a student, you will be fully immersed in this environment. We can help put you in touch with groups and companies in these fields.
