This program is taught in ENGLISH. Anyone who lacks the strong math foundation they need for a career in tech, but is eager to learn has a home in our foundational course. Students acquire all the basic tools they need to continue studies in Computer Science, Data Science or Cyber Security. Graduating MSL means opening the doors to apply for a place at Harbour.Space University and any other top-rate tech university in the world.
If your Math level is not sufficient, you can first join our intensive, one year preparatory Math as a Second Language (MSL) course before starting the math intensive degree studies. After successful completion of MSL students are granted an automatic right to enter all math intensive degrees at Harbour.Space. Applicants who wish to acquire math skills in order to pursue studies in other elite technical universities at an undergraduate or graduate levels are also invited to apply to MSL. The foundational course gives students all the essential mathematical knowledge in programming, geometry, algebra, calculus and algorithms they need to develop their skills in technology.
- Basics of Discrete Mathematics, Numbers and Polynomials
- Basic Concepts of Functions; Roots, Degrees, Logarithms
- Complex Numbers; Elementary Probability Theory
- Basics of Calculus
- Basics of Elementary Geometry
- Polygons; Measurement of Geometric Quantities
- Computer Architecture, Data Representation, Operating Systems
- Data Structures and Algorithms
- Programming in a High Level Procedural Language (C)
- Programming Paradigms
PhD, Director of Software Development Europe, Rational Retention
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.
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Last updated November 4, 2017