BSc (with Honors) in Data Science

Key Points

  • Work permit while you study

  • Post Graduation Work Permit for 12 months

  • Guaranteed labor practices

  • Start dates: September

  • Duration: 4 years
  • Level 8 qualification

  • Type: Full Time
  • Hours: Daytime
  • Enrollment Fee: From € 15,000 / year

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Data science involves studying information, where it comes from and the patterns it forms, and how to turn this data into a resource for business, government, and business strategies. social. Data scientists are researchers, storytellers, and problem solvers who organize information, find unique ways to communicate its highlights, and think of creative ways to apply it to real-world situations.

Program description

As a Data Science undergraduate at DCU, you will learn theory in math, statistics, programming, cloud technologies, and machine learning. Your rating will be highly marketable, with global demand in numerous sectors.

The DCU BSc in Data Science combines the three key skill sets of computer science, mathematics, and business to provide the basic knowledge necessary to be successful in this growing area. The course will introduce students to the major concepts in data analysis, management, processing, modeling, visualization, and business. Industry partnership provides opportunities to address real-world data sets and problems. You will learn to program, study mathematics and apply these skills to real world data, communicating the results to different audiences.

Career options

Graduates can find employment in the following career areas:

  • Finance
  • Health care
  • Manufacturing
  • Media
  • Non-profit
  • Retail
  • Sport
  • Telecommunications
  • Business Intelligence Analyst
  • Chief Data Scientist
  • Know Your Customer Lead
  • Data Scheduler
  • Data scientist
  • Director of Analytics
  • Knowledge Engineer
  • Team Captain

Program structure

  • Computer programming I
  • Data Science and Database
  • Collaboration and innovation
  • Linear math I
  • Calculation
  • Computer Programming II
  • Linear Math II
  • Digital innovation management and business probability I
  • Computer Programming (Data Structure and Algorithms)
  • Probability II
  • Processing and display data
  • Statistics I
  • Calculation of variables
  • Computer Programming (Object Oriented Programming)
  • Storage Data and Mining Data
  • Introduction to machine learning
  • Statistics Data Analysis Programming
  • Data Analysis at speed and scale
  • Exploring data using graph theory
  • Creating complex computational models
  • Software Engineering: Building Better Software Application Domains
  • Intra (Job placement)
  • Experimental and research methods
  • Natural language technologies
  • Advanced machine learning application domains
  • Time series (Mathematics)
  • Professional Practice for Data Science Domains
  • Final year project

Admission requirements

  • As a general requirement, a Bachelor’s Degree / Baccalaureate Diploma / General Baccalaureate / Professional Degree from a recognized university with, minimum, is required a subject in mathematics.
  • For international candidates, the foreign equivalent is required. In addition, an officially translated degree will be required.
  • IELTS 6.5, with no less than 6.0 in any component (or its internationally recognized equivalent).

Learn more about our educational offer

Ireland
Dublin City University

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    2021-07-20T18:21:31+01:00