Bachelor of Computer Science

Harbour.Space

Program Description

Bachelor of Computer Science

Harbour.Space

BSIcon This program is taught in ENGLISH. The Harbour.Space Computer Science Bachelor program 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. It keeps abreast of and exposes students to state-of-the-art, as well as state-of-the-practice, computer applications and technologies. 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. The Bachelor programme in Computer Science 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 programs in Computer Science and related fields. As in all Harbour.Space programmes, the Computer Science Bachelor learning is problem-based. You should expect to work on many practical projects, such as programming a robot, which would help you develop strong problem-solving skills and quickly become experienced in multiple programming languages. All students should expect to roll out their real-world projects to the market at the end of studies. 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.

YEAR 1

In the first year, students obtain the foundational knowledge in mathematics and the basics of programming upon which students will develop an understanding of programming and computer science during following years. The courses are mostly given in a form of lectures and takeaway coursework.

Modules

  • Mathematical Foundations of Computing
  • Foundations of Programming
  • Calculus
  • Practical Unix
  • Linear Algebra
  • Algorithms and Data Structures
  • Graph Theory
  • Object-Oriented Programming
  • Algebraic Structured
  • Operating Systems
  • Combinatorics
  • Database Systems Principles
  • Capstone Project
  • Seminars & Workshops

YEAR 2

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 programs and use primary computer science tools.

Modules

  • Introduction to Probability
  • Java Programming
  • Mathematical Statistics for Computer Scientists
  • Computer Organisation and Systems
  • Introduction to Optimisation
  • Functional Programming
  • Introduction to Machine Learning
  • Formal Language Theory
  • Compilers
  • Introduction to Computer Networking
  • Writing, Documentation, Tex, Javadoc
  • Computational Complexity Theory
  • Introduction to Cryptography
  • Extremal Problems
  • Web Applications
  • Capstone Project
  • Seminars & Workshops

YEAR 3

In the third year, students will primarily focus on key computer science subjects including computational theory and cryptography. The practical side of the computer science programme is focused on an 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 a seamless transition into a professional role.

Modules

  • Information Theory
  • Software Engineering
  • Computational Geometry
  • Introduction to Data Mining
  • Introduction to Robotics
  • Parallel Computing
  • Bioinformatics
  • Computer Graphics
  • Computer Vision
  • Object-Oriented Systems Design
  • Mobile Application Development
  • Technical Project Management
  • Algorithms in Bioinformatics
  • Computational Genomics
  • Software Testing, Verification, and Validation
  • Leadership & Group Dynamics
  • Data Visualization
  • Numerical Methods
  • Capstone Project
  • Seminars & Workshops

MATH AS A SECOND LANGUAGE (M.S.L.)
A Harbour.Space major requirement for all students in tech is a very good level of math. Anyone who lacks the strong math foundation they need for a career in tech, but is eager to learn has a home in our foundation course (link). Students acquire all the basic tools they need to continue studies in Computer Science, Data Science or Cyber Security. Graduating from M.S.L. means opening the doors to apply for a place at Harbour.Space University and any other top-rated tech university in the world.

Programme Leadership

Konstantin MertsalovKonstantin Mertsalov
Ph.D., Director of Software Development Europe, Rational Retention

Konstantin Mertsalov is European Director of Development at Rational Enterprise, a globally leading software development company specializing 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 Ph.D. 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 organize, 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.

This school offers programs in:
  • English


Last updated August 6, 2018
Duration & Price
This course is Campus based
Start Date
Start date
Open Enrollment
Duration
Duration
3 years
Full time
Price
Price
- per year.
Information
Deadline
Locations
Spain - Barcelona, Catalonia
Start date : Open Enrollment
Application deadline Request Info
End date Request Info
Dates
Open Enrollment
Spain - Barcelona, Catalonia
Application deadline Request Info
End date Request Info