Academic Journey
M.Sc. in Data Science
University of Bergen
Semester 1
Introduction to Programming
Introduction to Programming
Calculus I
Calculus I
Introduction to Cybersecurity
Introduction to Cybersecurity
Semester 2
Object-Oriented Programming
Principles and practices of object-oriented design and programming
Linear Algebra
Vectors, matrices, and linear transformations
Discrete Structures
Logic, combinatorics, and graph theory
Semester 3
Basic Course in Statistics
Introduction to probability and statistical inference
Introduction to Data Science
Data Preparation, modeling and analysis
Algorithms, Data Structures and Programming
Solved problems by utilizing various algorithms and focused on optimization
Semester 4
Applied Statistics
Application of statistical methods to real-world problems
Databases and modelling
Create and normalize database schemas, and implement databases into applications
Introduction to Systems Development
Produce a software system from concept to deployment working in a team and utilizing AGILE methodologies
Semester 5
Signal and Systems Analysis
Analysis of signals and systems in engineering applications
Innovation by Design Thinking
Creative problem-solving and innovation methodologies
Modelling and Optimization
Mathematical modelling and optimization techniques
Semester 6In Progress
Foundations of data-oriented visual computing
Real world applications of data-oriented visual computing
Deep Learning
Neural network architectures and training methods
Examen Philosophicum
Studying the ethics of science practice and communication
More to come...