University of Nicosia
University of Nicosia Nicosia

Data Science (BSc)

Information

Department
School of Sciences and Engineering
Duration
4 years
Additional Information

The aim of the program is to provide students with technical skills and practical insight to Data Science. The DS program combines theory and practice, based on three main disciplines, Computer Science, Statistics and Mathematics, and real world application domains. It has been designed to enable graduates of the program to meet the demands of the data-driven economy of the future.

More specifically, the program aims at:

  1. Providing students with the technical and analytical skills required for acquiring, managing, analyzing and extracting insight from data.
  2. Provide students with a strong mathematical and statistics foundation that will enable them to appropriately formulate models and apply optimization techniques for data analyses challenges.
  3. Providing students with software engineering and machine learning skills to design and implement scalable, reliable and maintainable solutions for data-oriented problems.
  4. Enabling students to assess the level of privacy and security of a technical solution to a data science problem.
  5. Preparing students to pursue further postgraduate education and research that require expertise in data science and analytical reasoning (such as business analytics, finance, health, bioinformatics).
  6. Providing students with a strong sense of social commitment, global vision and independent self-learning ability.
Program's Webpage

Program

Semester 1

  • Introduction to Data Science
  • Programming Principles I    
  • Discrete Mathematics    
  • Calculus I    
  • English Composition    

Semester 2

  • Programming Principles II    
  • Software Development Tools for Data Science
  • Calculus II    
  • Probability and Statistics I
  • Principles of Sociology

Semester 3

  • Data Structures
  • Data Programming    
  • Probability and Statistics II    
  • Bayesian Statistics
  • Elements of Biology    

Semester 4

  • Algorithms    
  • Database Management Systems    
  • Linear Algebra I
  • Machine Learning and Data Mining I
  • Project in Data Science    

Semester 5

  • Machine Learning and Data Mining II    
  • Optimization Techniques    
  • Data Visualization    
  • Data Privacy and Ethics
  • Visual Programming    

Semester 6

  • Big Data    
  • Web and Social Data Mining    
  • Linear Models I
  • Technical Writing and Research    
  • Knowledge Management    

Semester 7

  • Artificial Intelligence
  • Neural Networks and Deep Learning    
  • Data Science Final Year Project I    
  • Blockchain Programming    
  • Marketing    

Semester 8

  • Data Science Final Year Project II
  • Industry Placement in Data Science    
  • Times Series Modeling and Forecasting
  • Cloud Computing    
  • Linear Algebra II