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Computer Science

Programme
Our Computer Science programme has solid roots in mathematics and engineering, while our innovative department optimises the relevance of the programme by including disciplines such as linguistics, psychology, economics, physics and music..

Programme overview

  • 3 years
  • Full-time Duration
  • 19 900 EUR Tuition Fee/Year
  • 240 ECTS ECTS
  • English Language of Instruction
  • All year round Application Period

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.

See full curriculum Programme structure
1
year

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.

Modules
  • Combinatorics and Graphs
  • Foundations of Programming: C/C++
  • Calculus – 1
  • Practical Unix
  • Linear Algebra - 1
  • Algorithms and Data Structures – 1
  • Combinatorics and Graphs – 2
  • Object Oriented Programming: Python
  • Calculus – 2
  • Algorithms and Data Structures – 2
  • Linear Algebra – 2
  • Computer Organisation and Systems
  • Combinatorics and Graphs – 3
  • Operating Systems
  • Calculus – 3
  • Capstone Project - 1
  • Seminars & Workshops - 1
More
2
year

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.

Modules
  • Introduction to Probability
  • Introduction to Statistics
  • Java Programming
  • Foundations of Mathematical Logic
  • Functional Programming
  • Introduction to Optimization
  • Machine Learning – 1
  • Formal Language Theory
  • Compilers
  • Introduction to Computer Networking
  • Database Systems Principles
  • Computational Complexity Theory
  • Introduction to Cryptography
  • Extremal Problems
  • Web Applications
  • Capstone Project - 2
  • Seminars & Workshops - 2
More
3
year

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.

Modules
  • Information Theory
  • Software Engineering
  • Computational Geometry
  • Machine Learning – 2
  • Parallel and Distributed Computing
  • Bioinformatics
  • Computer Graphics
  • Computer Vision
  • Introduction to Robotics
  • Software Development Process
  • Computational Genomics
  • Mobile Application Development
  • Technical Project Management
  • Algorithms in Bioinformatics
  • Data Visualization
  • Software Testing, Verification and Validation
  • Leadership and Group Dynamics
  • Writing, Documentation, TeX, JavaDoc, Academic
  • Numerical Methods
  • Capstone Project - 3
  • Seminars & Workshops - 3
More
  • 2 years
  • Full-time Duration
  • 22 900 EUR Tuition Fee/Year
  • 120 ECTS ECTS
  • English Language of Instruction
  • All year round Application Period

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.

See full curriculum Programme structure
1
year

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.

Modules
  • Combinatorics and Graph Theory
  • Object-Oriented Programming (C++)
  • Data Structures and Algorithms
  • Functional Programming
  • Theory of Probability and Statistics
  • Practical Unix
  • Introduction to Interaction Design
  • Advanced Databases
  • Master's Machine Learning
  • Python
  • Networks
  • Java Programming
  • Operating Systems
  • R
  • Robotics
  • Leadership and Group Dynamics
  • Technical Writing and Presenting
  • Сomplexity Theory
  • Technical Project Management
  • Bioinformatics
  • Statistical Data Analysis
  • Capstone Project-1
  • Seminars & Workshops-1
More
2
year

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.

Modules
  • Parallel and Disrtibuted Computing
  • Automata Theory, Languages, and Computation
  • Software Design
  • Foundations of Cryptography
  • Computer Vision
  • Computational Geometry
  • Compilers
  • Software Engineering
  • Neural Networks and Deep Learning
  • Discrete Optimization
  • Virtualization and Java VM
  • Nonlinear Optimization
  • Computer Graphics
  • Information Technology Management
  • Big Data Analysis
  • Information Theory
  • Mobile Application Development
  • Software Testing, Verification and Validation
  • Data Visualization
  • Algorithms in Bioinformatics
  • Spectral Graph Analysis and Data Science Applications
  • Capstone Project-2
  • Seminars & Workshops-2
More

Programme leadership

KONSTANTIN MERTSALOV
Faculty Leader Computer Science

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.

More

Career path

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.

  • Junior Software
    Engineer
    As part of the development team, junior software engineers learn to apply the knowledge in Computer Science obtained at the university to practical problems at the workplace. While handling entry level tasks, junior software engineer quickly builds up the experience necessary for taking on more responsibility at the next step of the career ladder.
  • Software
    Engineer
    Software engineer takes on the responsibility for the development of efficient and accurate software. The key knowledge and skills at this level include a deep understanding of the key programming concepts, software development experience, attention to detail, and focus on the quality and performance. The bulk of software is developed at this level.
  • Senior Software
    Engineer
    The senior developer is an expert in software engineering best practices and the force driving software quality. At this level, the engineer also takes on coaching and mentoring responsibilities to help other members of the team to reach their highest potential.
  • Systems
    Architect
    As a guru of a technical team, the systems architect possesses a deep understanding of programming and computer science in general as well as a strategic vision of the technical evolution of the software product. The systems architect brings in the expertise in system design and the modelling skills as well as knowledge of technical frameworks and components. It is also often the responsibility of the systems architect to develop the technical component of the requirements specification to ensure a consistent and coherent software product.
  • Director of
    Development
    As a leader of the engineering team, the director of development orchestrates the range of talent and abilities the team members possess to ensure the timely and efficient development of software product. Director of development succeeds by understanding the business requirements, mastering technical project management, learning to accurately estimate work effort, and demonstrating first-grade team leadership.
  • Chief Technology
    Officer
    Chief technology officer is a business leader with a big picture view of every aspect of the technological side of the organisation. The CTO understands the current state of business as well as the target benchmarks and is responsible for enrolling technology to advance business in the right direction. The responsibilities of the CTO often include leading the development, information technologies, support, technical operations, and infrastructure departments.
  • Software engineers develop the next-generation technologies that change how millions of users connect, explore, and interact with information and one another.
  • Google and Facebook employees earn a base salary of ~$125K, not counting benefits, 401k matching, stock options/grants, etc., and even Yahoo! developers pull in six figures.
  • We're looking for ideas and skills from every area of computer science, including information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, and user interface design. The list goes on and is growing every day.

Apply for 2017-2018

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