International Foundation for Science and Engineering (4-Term), Leading to Bachelor of Science (Hons) in Data Science with Year of Professional Experience

INTO Group - Queens University Belfast International Study Centre

UK,Northern Ireland

 0 Shortlist

60 Months

Duration

CAD 20,550/year

Tuition Fee

CAD 0 FREE

Application Fee

Apply Date

UK, Northern Ireland

Type: University

Location Type: Urban

Founded: 1845

Total Students: 25,000 +

Campus Detail

Main Campus Address

2-8 Lennoxvale, Belfast BT9 5BY, United Kingdom

International Foundation for Science and Engineering (4-Term), Leading to Bachelor of Science (Hons) in Data Science with Year of Professional Experience

Program Overview

International Foundation – helping you to develop specialist knowledge, language and study skills, this intensive one-year study abroad pathway program will bridge the gap between high school and undergraduate study.

Prepare for entry to Year 1 of an undergraduate degree in a range of subjects including biomedical sciences, computing, engineering, nursing, pharmacy and science at Queen's University Belfast.

Leading to:- Bachelor of Science (Hons) in Data Science with Year of Professional Experience
The aim of the programme is to offer a deep and up-to-date education in data science, machine learning and artificial intelligence that prepares graduates with key knowledge, skills and competencies necessary for employment in data engineering, data analysis, data architect (as well as managerial positions on those topics), or as preparation for further research and innovation careers.

In particular the programme aims to provide students with:

  • Comprehensive knowledge and understanding of the fundamental principles of artificial intelligence, data science and machine learning, which will remain applicable through changes in technology.
  • Advanced knowledge and practical skills in the theory and practice of data analytics.
  • The necessary skills, tools and techniques needed to embark on careers as data scientist, or professional developers skilled in data science.
  • Skills in a range of practices, processes, tools and methods applicable to data science in commercial and research contexts.
  • Timely exposure to, and practical experience in, a range of current technologies and emerging trends at the forefront of data science, such as Deep Learning, Natural Language Processing and Trustworthy AI.
  • Opportunities for the development of practical skills in a commercial context.

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