About Data Science - Barcelona, Spain, BSc - at Harbour.Space University
Harbour.Space's Data Science Bachelor’s programme prepares students to become industry leaders in the field. Utilizing an innovative curriculum, experienced professors, real-world experience, and a network of like-minded driven individuals the Harbour.Space Data Science Master’s programme is pioneering this new frontier of human knowledge. Develop the analytical and programming skills needed to extract valuable knowledge out of data.
Year 1 | In the first year, students obtain the foundational theoretical knowledge they need to become data scientists. The programme builds the mathematical basis upon which students will develop understanding of programming, statistics, machine learning and data management 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
- Data Structures And Algorithms
- Combinatorics And Graphs
- Operating Systems
- Databases
Year 2 | In the second year, students learn programming, statistics, and machine learning in addition to courses that will further establish the mathematical foundations they need in data science.
The second-year also contains courses that start covering tremendously useful data science tools as well as technical writing instruments. 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, use primary data science tools and conduct data analysis and will be ready to study applied courses during the final year of the programme.
Modules:
- Probability Theory
- JAVA
- Introduction To Statistics
- Parallel And Distributed Computing
- Introduction To Optimisation
- Machine Learning
- Python For Massive Data Analysis
- Stochastic Processes
- Introduction To Computer Networking
- Convex Optimisation
- Writing, Documentation, Tex, Javadoc
- Computability and Complexity
- R, MATLAB, SPSS
- Introduction to Cryptography
Year 3 | During the third, the final year, students will complete their studies of programming and data analysis and will primarily focus on applications of data science. The programme offers many practical and interdisciplinary courses. 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.
Modules:
- Information Theory
- Software Development Process
- Machine Learning
- Mapreduce
- Stochastic and Huge scale Optimization
- Bioinformatics
- Performance-Oriented Computing
- Big Data & Emerging Technologies
- Computational Genomics
- Introduction to Interaction Design
- Image Analysis
- Technical Project Management
- Algorithms In Bioinformatics
- Data Visualization
- Econometrics
- Leadership & Group Dynamics
- Web-Graphs
- Text Mining
The applied degree includes work experience as part of the curriculum.
Choosing this degree option means alternating between academic and work terms in each study year. This programme is most suitable for students who wish to gain relevant work experience throughout their degree, which can boost your resume and give you an edge for graduate roles.
Open University - Short Courses
Are you interested in a particular course? Let us help you discover the field that most interests you.
The Open University offers studies to everyone with no enrollment restrictions. Courses begin every three weeks throughout the year, corresponding to Harbour.Space University’s degree programmes.
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