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Data Science with Year of Professional Experience

Entry requirements


A level

A*,B,B-A,A,B

Inclusing A-level Mathematics grade A*/A and at least one from Computing/Software Systems Development, Physics, Biology, Chemistry, Technology and Design, Electronics, Further Mathematics or Double Award Life & Health Sciences.

UCAS Tariff

136

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About this course


Course option

4years

Sandwich | 2024

Subject

Computational mathematics

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.

**Data Science With Year Of Professional Experience Degree HighlightsIndustry 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.

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£25,300
per year
International
£25,300
per year
Northern Ireland
£4,750
per year
Republic of Ireland
£4,750
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Queen's University Belfast

Department:

School of Electronics, Electrical Engineering and Computer Science

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What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

70%
Computational mathematics

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Mathematics

Teaching and learning

58%
Staff make the subject interesting
79%
Staff are good at explaining things
77%
Ideas and concepts are explored in-depth
68%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

84%
Library resources
86%
IT resources
94%
Course specific equipment and facilities
64%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

91%
UK students
9%
International students
61%
Male students
39%
Female students
73%
2:1 or above
10%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

A
A
A

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Mathematics

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£19,000
low
Average annual salary
96%
med
Employed or in further education
76%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

58%
Business, finance and related associate professionals
11%
Business, research and administrative professionals
11%
Information technology and telecommunications professionals

Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.

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Post-six month graduation stats:

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It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

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