官网 挪威生命科学大学

What can you use this qualification for?
Being an expert in the field of Data Science makes you highly attractive for the future labour market. Big Data challenges are present in all modern societies, all industrial sectors and research and are expected to grow rapidly in future. Experts for ‘making sense’ out of this data are urgently needed in labour markets such as the communication sector, the energy sector, economy, precision agriculture, the construction sector, in research and the medical sector.
What will you learn?

The program combines the disciplines of informatics, mathematics, statistics and data analysis. During the data science studies, you will deepen your knowledge in these subjects and learn to analyse real-world problems related to complex and big data. You will capitalise on the wide range of application areas of big data in technology, environmental and life sciences, as well as in business and economics.

Short description

Programming, computer science and data mining will give you basic skills in Data Science. Linear algebra and statistics are offered as optional courses if you lack these subjects in your bachelor degree. You will complement this basis with two specialisation courses in one of the following areas: Geographical Modelling and Analysis, Geographical Database Systems, Geographical data Mining, Climate Modelling Biostatistics, Biophysics, Bioinformatics, Computational Neuroscience, Energy Physics, Building Structures, Building Performance Simulation and Economics. In your 30 ECTS master thesis, you will apply your data science competence to a specific task and hone your problem-solving skills.

Learning outcomes

  • Upon completion, the candidates should be able to convey and communicate engineering related problems and solutions to both specialists and non-professionals.
  • Be able to contribute to innovation and entrepreneurship.
  • Complete an independent project, restricted to engineering related research- or development under supervision.

Knowledge:

  • Understand the engineering sciences overall role in a societal perspective, show insight into ethical requirements and respect to sustainable development, and be able to analyze ethical problems regarding engineering related work.
  • Have a broad knowledgebase in mathematics, natural sciences, technology and computer technology as a foundation for understanding methods, applications, professional innovation and adaptations.
  • Have deep knowledge in a defined area connected to active research, including an adequate professional understanding in using new research.
  • Knowledge of computer safety, law and ethics.

Skills:

  • Be able to develop overall solutions to engineering related problems, including creating solutions in a multidisciplinary context. Be able to evaluate tools for analyzing, methods, technical models, calculations and solutions independently and critically.
  • Plan and bring about data collection, as well as process, analyze and interpret the data. Collect and organize data, execute a multivariate analysis of high-dimensional data, pattern recognition and machine learning, evaluate the quality of data as well as the results.

Be able to analyze mathematical models for processes e.g. in physics, biology, technique

Programming, computer science and data mining will give you basic skills in Data Science. Linear algebra and statistics are offered as optional courses if you lack these subjects in your bachelor degree. You will complement this basis with two specialisation courses in one of the following areas: Geographical Modelling and Analysis, Geographical Database Systems, Geographical data Mining, Climate Modelling Biostatistics, Biophysics, Bioinformatics, Computational Neuroscience, Energy Physics, Building Structures, Building Performance Simulation and Economics. In your 30 ECTS master thesis, you will apply your data science competence to a specific task and hone your problem-solving skills.

Requirements

Bachelor’s degree

Higher Education Entrance Qualification and a completed bachelor’s degree comparable to a Norwegian bachelor’s degree included a specialization worth 80 ECTS.

Applicants with a Norwegian degree in Engineering must have the courses Mathematical Methods I, II and III (or comparable) and Statistics (worth 30 ECTS) included in their degree. Other applicants must have at least 30 ECTS Mathematics courses and 5 ECTS Statistics courses.

There is a minimum mark requirement of C for admission.

要申请此工作 请将您的详细情况发送到以下邮箱 info@hiias.com