Programme structure
The master programme is a two-year programme on top of a relevant three-year bachelor degree.
You will specialize in software engineering with hands-on experience in designing cyber-secure and data intelligent industrial systems that provide innovative features with adaptive intelligence with a high security level.
It prepares you to engineer systems with data pipelines and artificial intelligence components and state-of-the-are cyber-security features. You will be particularly strong in creating industrial systems with novel features in small to large organizations regardless of the domain of application.
First semester
In the first semester, the student will gain knowledge and experience with scientific methods and advanced methods for Software Engineering. You will spend most of your time with two courses on advanced topics within the specialization for the master as follows:
- Machine Learning and Big Data Analytics (10 ECTS): This course in depth advanced topics in big data technologies, distributed data storage and processing frameworks, and methods of big data analytics. This course covers machine learning techniques for data preprocessing, data analysis and evaluation and the scalability of machine learning models to big data settings.
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Cryptology – in essence (10 ECTS): You will learn classical cryptography, Block ciphers and modes of operation, the RSA cryptosystem, digital signature system, key-exchange protocols, the discrete logarithm problem, and its applications. Secret sharing schemes and quantum-safe cryptology.
Second semester
In the second semester, the student will study advanced topics in the courses for the specialization of the master which are as follows:
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Advanced Artificial Intelligence (10 ECTS): The course provides students with the most cutting-edge AI techniques so that they can understand and use advanced AI techniques, and understand the possible applications of AI in real systems.
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Advanced Cyber-Security (10 ECTS): This course covers advanced cybersecurity principles and system protection techniques and methodologies. Students will learn about vulnerability assessments, security management systems, and risk assessment processes, along with privacy principles and compliance. The course also covers topics in threat detection and prevention strategies.
A research-oriented project will allow a student to work with scientific methods within the area of the specialization and to apply knowledge and work with the process of creating new knowledge within the area.
Third semester
In the third semester, the student will complete an innovation and development process within the area of specialization with the aim to prototype a new product or service that addresses existing markets or growth markets.
Half of the semester consists of elective modules. The student can choose to use part of the elective modules as part of the thesis work in the third semester. Another option is to choose an In-Company project or a project to develop a business idea further in collaboration with a start-up hub.
Fourth semester
In the last semester, the student will write a thesis in Software Engineering.
What makes this education stand out?
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Embedded in a quickly growing research environment in the SDU Centre of Industrial within software engineering, cyber-security and artificial intelligence
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Inclusive and welcoming study environment
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Strong collaboration with local industry and a vibrant start-up environment
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Excellent career opportunities for graduates in industry, start-ups or within research
