Applied Computer Science

The programme is designed to develop individuals in a variety of professional roles in the IT sector, with managerial competencies that will allow them to successfully lead on IT projects, become entrepreneurs in computing-related business and so forth. A distinctive feature of this Programme is its diverse and comprehensive curriculum, which includes hot topics in computer science, and provides an understanding of the fundamental set of skills, knowledge and practices needed in the sector. Furthermore, the Programme aims to provide valuable employability skills with a problem-based, practice-focused approach that clearly evaluates learning as a lifelong attitude, through labs and projects to teach students how to design, develop and implement projects and systems.

The programme offers a solid basis for all students in their professional development, providing them with a clear understanding of the career path and field they might choose. Teaching and learning focus on computing fundamentals as applied to AI, blockchain and cybersecurity, with a specific emphasis on developing core employability skills such as teamwork, coach-ability, problem-solving and a deep understanding of the latest research and its practical implications.

Due to the experiential nature of this Programme, speakers and influential professionals from other countries will also be invited to explain in practical detail their job and mentor students with a specific interest in that area. It is important to stress that placement and internships opportunities are facilitated but not mandatory, and may differ from one another in terms of length, year of access, commitment and skills required, according to specific employers’ conditions.

Year 1: Computational Thinking, Mathematics for Computing, Algorithms and Data Structure, Basics of Cryptocurrency, Computer Architecture, Networks and Operating Systems, Programming Lab, Technology Management. Year 2: Data Science, IoT and Big Data, Object-orientated Programming and Design, Software Engineering, Theory and Application of Artificial Intelligence, Introduction to Blockchain, Cybersecurity and Cryptocurrency. Year 3: Machine Learning, Advanced Programming Lab, Human Computer Interaction and Ethical Aspects, Interaction Design, Software Project Management, Data Mining, Final Project

You will be assessed through a variety of coursework, from essays to projects, group work to portfolios. No written exams in the mix!

We use a block teaching schedule, which allows us to concentrate on two 15 credit modules or one 30 credit module every 6 weeks. To promote engagement, students will attend group preparation classes in the morning, as a way of facilitating learning through independent research, peer feedback and critical thinking.
All our classes are delivered live, with students from a variety of countries - this allows us to offer a truly international experience to all, including those studying in distance learning.