Bachelor’s Degree Programme in Data Science and Internet of Things, in partnership with Huan Nghe Group (Vietnam)
The Bachelor’s degree programme in Data Science and Internet of Things focuses on two important areas of ICT: Data Science and Internet of Things. The programme provides competencies to contribute to the information technology industry and the digitalization of society.
The programme educates future experts of the field that have strong and broad knowledge on Information Technology for data science and Internet of Things.
The programme is a Partnership Degree Programme with Huan Nghe Group (Vietnam). Admission to the programme is managed by Huan Nghe Group. The studies (3 years) are carried out in the University of Turku, Finland. The Bachelor’s degree is awarded by the University of Turku.
PROGRAMME IN BRIEF
The duration of the Programme is three academic years conducted in Salo IoT Campus and the University of Turku in Finland. The scope of the Programme is 180 ECTS in total.
The Specialization of the Programme is:
Data Science and Internet of Things, B.Sc., expertise path to competencies needed in development of the information technology industry and the digitalization of society. The specialization provides strong technological skills and abilities required for postgraduate studies in Master’s programmes and/or directly to employment.
The programme includes studies in:
- Software
- Embedded Electronics
- Networks & Security
- Science
- Introduction to Engineering Language and Communication
- Specialization: Data Science and Internet of Things
Department of Future Technologies is a scientific research and education unit covering the ICT field. The department does basic and applied research and gives higher research based education while working in active co-operation with the society.
Our computer science and bioinformatics research focuses on solving computationally complex problems and developing computational methods for such problems. Special emphasis is given for computational problems in the strategic areas of the University of Turku. Computer science has a strong algorithmic research tradition, which is applied to emerging bio and health informatics as well as computation intelligence related to big data problems. High level research is done in international collaboration.
Our research in engineering has also reached high international standards in the focused fields. Basing on a body of wide-ranging studies in software engineering, communications technology and embedded electronics, research in information technology focuses especially on developing methods, technological infrastructure and cybersecurity required for providing services for the information society.
The department provides versatile and high quality ICT education at both natural sciences and engineering fields with an established reputation in innovative interdisciplinary and international education. International education is advanced especially in
- co-operation with European Institute of Innovation and Technology (EIT), and with
- unique double-degree arrangement between the prestige Fudan University in Shanghai, China and the University of Turku.
CAREER OPTIONS
The programme provides students:
- fundamental knowledge and hands-on experience in Data Science and Internet of Things.
- sound and substantial education and expertise.
- strong technological, theoretical and practical understanding, and skills and abilities for continuing their studies at postgraduate level in Master’s degree programmes.
Engineering education does not only provide students with a broad technical competence but also with a professional profile based on the strengths of the multi-disciplinary University of Turku and good working life readiness.
Internationality and know-how in the future’s multicultural project environments is emphasized in engineering education. This education is profiled through our multi-disciplinary university and via various collaborations. Technical competence is supported by business, innovation and entrepreneurial knowledge as well as studies in work life readiness.
The Bachelor’s degree prepares the students to professions such as the Data Analyst, Data Scientist, Data Engineer, as well as IoT Engineer and IoT Scientist. In Finland, companies hire students as interns during their studies, especially during MSc studies. Working in Finland usually requires some level of Finnish language skills, however most Finns speak English and it is possible to find a job during and after the studies in Finland.
Local companies are often in touch with the university when they have specific needs and information is shared with the students. University of Turku also provides career assistance for international students looking for a job.
Employment rate of graduates in the ICT field in the Turku area is very high, and currently there is a high demand for experts due to rapid growth driven by the maritime and automotive industry. The industry would hire more capable and educated employees than there are currently available. The Turku area (Southwestern Finland) accounts half of all new jobs in Finland currently.
A student is eligible to continue studies towards MSc degree in Turku, Finland, Europe, US and other countries accepting a degree from Europe. Students can proceed in their academic path towards a Doctoral degree. PhD student positions are often paid vacancies at the Finnish universities. Tuition fee is required for MSc programmes, but Doctoral studies don’t charge any tuition fee in Finland.
INFORMATION FOR ADMISSION
Programme is designed for High School Graduates who have an interest in math, physics and/or ICT. Admission to the programme is managed by Huan Nghe Group (Vietnam). For more information, please contact
Jack Hao Nguyen
Marketing Specialist, Huan Nghe Group
Email: jacknguyen.bdsquocte@gmail.com
Tel: +84908761717
Language of instruction is English. All applicants must prove their knowledge of English according to the requirements of the University of Turku.https://www.utu.fi/en/study-at-utu/language-requirements-for-bachelors-degree-programmes