Computer Science BSc programme offers students with basic analytic skills and a strong aptitude for mathematics, programming, and logical reasoning the best in the world opportunity for in-depth study of Computer science concepts and theories in highly practical and cutting edge educational environment. Core computer science skills such as software development, object orientated programming (OOP) and database engineering form the basis of the curriculum, with advanced exploratory courses such as data mining to follow.
Throughout the study students will continuously acquire an understanding of real-world computing needs, as demonstrated by their ability to address technical issues involving computing problems encountered in industry, government and graduate programs.
In the first year, students obtain the foundational knowledge in mathematics and the basics of programming upon which students will develop understanding of programming and computer science during following years. The courses are mostly given in a form of lectures and takeaway coursework. By the end of this year, students will be able to write programmes and use primary computer science tools.
In the second year the students will be offered both math courses in the field of discrete mathematics and courses in the field of software development and programming languages. Most courses require practical coursework and a course project enabling students to get a feel for the challenges and approaches used in this field. The students will also begin developing software for the Capstone project.
By the end of this year, students will be able to write programmes and use primary computer science tools.
In the third year, students will primarily focus on key computer science subjects including computational theory and cryptography. The practical side of the programme is focused on in-depth understanding of parallel computing, databases, compilers.
At the end of the third year, students will have sufficient theoretical and programming background to tackle computer science problems in professional real world scenarios. A significant amount of time will be dedicated to the development of the Capstone project. The courses are taught by researchers and professionals who practice the courses they teach either academically or by sharing their professional experiences in their field. The goal of the final year is to expose students to a range of real-world applications of the material that they've learned to ensure seamless transition into a professional roles.
The MSc programme is designed for those who desire to deepen their comprehension of all aspects of the computer sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a BSc in computer science.
The programme is heavily geared towards developing students’ professional skills needed for employment, while being able to adapt to rapidly changing technology, to work effectively, professionally and ethically in computing-related professions, as demonstrated by their communications, teamwork and leadership skills. It also motivates and engages students in life-long learning, including entering graduate programmes in Computer Science and related fields.
Students begin the programme already having foundational knowledge of programming and mathematics including data structures and algorithms, statistics and machine learning. During the first year their knowledge of mathematics, programming and data analysis will be significantly extended. The programme also offers opportunity to learn the key soft skills for the professional world including technical project management, writing and presenting.
Finally during the first year students are expected to attend many of the talks and workshops offered by the university and being work on the capstone project.
During the second year of the programme students will primarily focus on learning key applications of the computer science as well as advanced methods in programming. A significant part of the year will be allocated to the completion of the capstone project.
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Konstantin Mertsalov is European Director of Development at Rational Enterprise, a globally leading software development company specialising in enterprise information management.
Originally from Russia, he moved to New York in 1998 to study Computer Science and Applied Mathematics , and continued his academic career with a Rensselaer Polytechnic Institute PhD on large dynamic social networks. He's an expert on machine learning, information diffusion in social network, semantic web search, unstructured data, big data and data analytics in general. He developed U Rank, a search engine that allows people to organise, edit and annotate search results as well as share information. Konstantin aims to lead the Harbour.Space Data Science programme with unbridled enthusiasm about the relatively new field, and he’s determined to use his industry knowledge to share, teach and create for the future with his students.
Every career looks different: it depends on individual aspirations as a well as changes in the industry. We’ve selected some stories to illustrate and celebrate the diversity of the various career paths.
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