Queen's University Belfast

Source: https://www.qub.ac.uk/courses/undergraduate/data-science-year-professional-experience-bsc-g420/ Parent: https://www.qub.ac.uk/courses/undergraduate/

Share
Facebook;void(0);)
Linkedin;void(0);)
Email

Undergraduate 2027

Undergraduate 2025

BSc | Undergraduate

Data Science with Year of Professional Experience

Apply via UCAS Register Interest

Entry year : Academic Year 2027/28

Entry requirements : AAB/A*BB

Attendance : 4 years (Full-time) \

UCAS Code : G420

Placement : Yes

Overview
Course content
Modules
Entry requirements
Careers
Fees and funding
Apply

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.

Course highlights

Industry Links

Our students are constantly given the opportunity to put theory into practice. We regularly consult a large number of employers including, for example, Civica and Sensata Technologies, who provide sponsorship for our students as well as Kainos and Liberty IT who are members of the employer liaison panel for the course.\ \ In addition, students will complete a year of professional experience on data analytics with one of our partners companies.

World Class Facilities

A new Teaching Centre for Mathematics and Physics opened in September 2016. This provides a dedicated space for teaching within the School. Facilities for mathematics include new lecture and group-study rooms, a new student social area and state-of-the-art computer facilities. Computer Science teaching takes place in the Computer Science Building on the Malone Road, just a short walk from the Mathematics department. The building was recently refurbished at a cost of £14M, and is welcoming with a modern style and approach to students with spaces which include computer laboratories, lecture theatre and options of break-out areas.

NEXT \ Course content

[##### Take a Virtual Tour of Campus

Explore our immersive 360 degree tours of campus buildings, facilities, accommodation and Belfast city.](https://virtualexperience.qub.ac.uk/)

[##### Undergraduate Events

Join us for an insight into life at Queen's and advice on your journey to university.](https://www.qub.ac.uk/Study/Undergraduate/events/)

[##### Your Future Career

Queen’s is ranked 9th in the UK for Graduate Prospects (Times and Sunday Times Good University Guide 2026).](https://www.qub.ac.uk/Study/Undergraduate/careers-and-employability/)

[##### Student Accommodation

The most affordable, purpose-built student accommodation in Belfast.](https://www.qub.ac.uk/accommodation/)

Course location

Electronics, Electrical Engineering and Computer Science

Facebook

Can't find something?

We're here to help with any questions or queries you may have about this course

Ask a question