Bachelor of Data Science

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 Hugescale 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

MATH AS A SECOND LANGUAGE (MSL)

At Harbour.Space, a major requirement for all students in technical degrees to have advanced mathematics skills. Anyone who lacks the strong math foundation but is eager to start their future in a technical discipline should apply for our maths foundation course, Math as a Second Language (MSL). MSL is an intensive, full–time, one-year preparatory programme for students without an academic background in STEM. It equips students with the necessary knowledge and fundamentals in math, physics, and computer science to pursue secondary education in STEM at the world’s most prestigious universities. After graduating from the MSL programme, students are automatically eligible to continue in a programme of their choice at Harbour.Space University.

Harbour.Space Employability Report:

Students and alumni are the centerpieces of the Harbour.Space ecosystem. We have seen four generations of students leave prepared for the industry’s challenges.

Employment By The Numbers:

As long as we provide opportunities for our students to excel, they’ll do everything that it takes to accomplish their goals.

95% | Employment Rate

83% | Secured a Job Within Three Months After Graduation

53% | Secured a Job Before Graduation

80% | Feel Happy with Their Current Job

Global Impact:

Borders are not a limit when your talent speaks for you. In numbers, here is the distribution of our alumni across the world.

56% | Europe

26% | Asia

17% | North America

1% | South America

Industry Type:

Whether at a local startup or an international enterprise, our alumni find their way to the industry they belong in.

34% | Startups

31% | Large Corporations

27% | Midsize Enterprises

8% | Freelance

ICPC Gold Medalists and Europe Champions

Harbour.Space University left behind not only Stanford but giants like MIT, Cambridge or Oxford. The International Collegiate Programming Contest, or ICPC, the top rendez-vous for coders, awarded this Barcelona centre a place of privilege among the main tech universities of the world. In an exciting last-minute catch-up, the revelation team of the competition in Luxor secured one of the gold medals (awarded to the 4 first positions), thus becoming also the front performer in Europe and the Western world.