Careers rarely develop the way we plan them. Our career path often takes many twists and turns, with particular events, choices and people influencing our direction.

We asked Tracey Roche from Analog Devices to give some advice for people considering this job:

Tracey Roche

Design Engineer

Analog Devices

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Tracey Roche

3 main things:

1. Be organised.

2. Try to keep a positive attitude.

3. Persevere. Working in a Design Evaluation role or indeed any electronic engineering role, requires problem-solving skills and half the battle with this is having a positive attitude. If you have a negative/pessimistic attitude, the battle to find a solution is lost before you even start. In debugging an issue, start with the basics and work from there. Like peeling an onion, gradually peel off the outter layers to reveal the inner core of the onion...as you work, you get more clues and develop a better understanding of the product/issue you are working on.

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Many will seek out positions where there is direct contact with the public in some advisory role, whether a receptionist or a counsellor. Social people are motivated by an interest in different types of people, and like diversity in their work environments. Many are drawn towards careers in the caring professions and social welfare area, whilst others prefer teaching and other 'informing' roles.
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DC123
Data Science

Ed Zone

Undergraduate awards typically reflect three to five years of study after secondary school and include Ordinary (Level 7) and Honours Bachelor Degrees and Higher Diplomas (Level 8's).

Undergraduate awards may be achieved directly or through a series of progression steps. Learners may choose to progress upwards from a Level 5 to a Level 6, Level 7 and finally a Level 8.

Undergraduate awards are awarded by the QQI, HEA or Higher Education Institutes.

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3rd level Graduates are qualified for a wide range of occupations, and their education prepares them for roles involving specific skills, and for coordinating, supervising, managing, or training others. Examples include accountants, sales managers, computer programmers, teachers, chemists, environmental engineers, criminal investigators, and financial analysts.

Level on the National Framework of Qualifications
4 Years
Duration of course
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454

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Summary... header image

The BSc in Data Science, the first of its kind in Ireland, is aimed at students who are interested in a career in Big Data, data analytics and related data science roles.

Data Science is the study of information - where it comes from, what it tells us and how to turn it into a resource for business, government and social strategies.

The course offers modules on theory in mathematics, statistics, programming, cloud technologies and machine learning.  Students are also taught to apply their learning to industry and society.

DCU BSc Data Science
Course Details header image

From College Website...
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DC123 - Data Science
DCU

From Qualifax...
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DC123 - Data Science
Qualifax - The National Courses Database
DISCLAIMER: These links are to official sources of information for this course - we accept no responsibility for the information on them.


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To view Mature Entry requirements, or alternative requirements, please visit Qualifax or the Colleges' website from the links available in the Course Details section above.

If you believe the data above to be incorrect, please let us know at info@careersportal.ie - thank you.


QQI FET/FETAC Links header image

This course does not appear to accept applicants with Further Education and Training (FET) awards. Please check with the college directly - sometimes this data is not published openly, or special arrangements may be available.

Career Progression header image

In year three students explore real world scenario in in data science ‘pods’ where they work with enterprises and cultural institutions.

The second half of third year is dedicated to an INTRA work placement where students join a Data Science team in a large organisation and gain real understanding of their future work role.

Graduates enter careers as Data Scientists, Business Intelligence Analysts, Data Programmers in the fields of Finance, Healthcare, Telecommunications, Media, Retail and Sport.



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