Master of Data Science Harbour.Space University

The Harbour.Space Master's in Data Science 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.

Check out our Master's in Data Science programme for more information!

Year 1

Students begin the programme already having foundational knowledge of programming and mathematics including data structures, algorithms, statistics, and machine learning. During the first year, their knowledge of mathematics, programming, and data analysis will be significantly built upon. This programme also offers the opportunity to learn the key soft skills for the professional world including technical project management, writing, and presenting.

Modules:

• Combinatorics And Graphs
• Object-Oriented Programming (C++)
• Data Structures and Algorithms
• Databases
• Theory of Probability and Statistics
• Practical Unix
• Introduction to Interaction Design
• Discrete Optimization
• Master's Machine Learning
• Python
• Networks
• Java Programming
• Big Data Analysis/Machine Learning - 2
• R
• Convex Optimization
• Leadership and Group Dynamics
• Technical Writing and Presenting
• Сomplexity Theory
• Technical Project Management
• Nonlinear Optimization
• Statistical Data Analysis

Year 2

During the second year of the program, students will primarily focus on learning the key applications of data science as well as advanced methods in mathematics and data analysis. Through completion of the program, students will learn to conduct data analysis on any scale, develop the software necessary for analysis and present the results in a professional and efficient way.

Modules:

• Parallel and Distributed Computing
• Statistical Data Analysis - 2
• Software Design
• Stochastic and Huge-scale Optimization
• Foundations of Cryptography
• Map Reduce
• Distributed Databases
• Text Mining
• Game Theory
• Neural Networks and Deep Learning
• Social Network Analysis
• Time Series
• Robust Optimization
• Image and Video Analysis - 1
• Information Retrieval
• Auctions
• Statistical Data Analysis - 3
• Information Theory
• Image and Video Analysis - 2
• Machine Translation
• Data Visualization
• Algorithms in Bioinformatics
• Spectral Graph Analysis and Data Science Applications
• Web Graphs

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 a 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