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 John Smith from Intel to give some advice for people considering this job:

 

John Smith

Engineer - Process

Intel

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  John Smith
On a personal level you need to be a good team player, good communicator and organised. From a technical viewpoint a background in physical sciences or engineering is essential. A PhD in semiconductor related field would prove extremely beneficial. The opportunities are vast within a company the size of Intel so you do have the option to change career direction if needed.
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Course Details

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DT302
Business Analytics

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 HETAC or Higher Education Institutes.

Career Opportunities
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
Druation goes here.....
360

2016 Points

360

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Summary... header image

“Business analytics” is about the conversion of business data into valuable information through the use of statistical techniques and advanced software. Combining such analysis with intuition can provide insights to businesses and public sector organisations for the achievement of their respective objectives. “Big Data” refers to the storage and analysis of datasets that are so large and complex that they become difficult to process through standard database management tools. Big Data is associated with the massive amounts of data that are now being generated in business and in other fields, often in real time, through for example: information sensing mobile devices, radio frequency identification readers and wireless sensor networks.

This programme provides a strong foundation in empirical Business Analytics grounded in theory and applied in practice. The aim of the programme is to produce a professional capable of providing the business analytics expertise required by organisations to strengthen their strategic decision making processes and to produce a graduate with interpersonal and leadership qualities, underpinned by sound technical and business knowledge by using a range of learning approaches throughout the programme.

Technical skills include a high level of proficiency in Software Development & Programming, Database Systems, Quantitative and Statistical Analysis and Business Intelligence. Communication Skills, Project Management and Work Placement all enhance the individual’s personal development, while Sales/Marketing, Strategic Information Systems and Principles of Management provide a framework for workplace effectiveness.

Work placement is an integral part of the programme. All students are encouraged to participate in a work placement in year 3 of the programme.

Course Details header image

From College Website...
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DT302 - Business Analytics
DIT

From Qualifax...
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DT302 - Business Analytics
Qualifax - The National Courses Database
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Entry Requirementsheader image

To view the Leaving Certificate minimum entry requirements for this course, Click Here [Source: Qualifax]

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.

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

It is estimated that data collected and generated by companies and governments is growing by approximately 40% per year. Global companies that leverage this data smartly have created significant value; estimates suggest c.4% higher productivity, c.6% higher profitability, and up to 50% greater market share.

It is also estimated that within the European public sector, there is $250 billion annual value in correctly applying new data technologies to government functions. In the US alone, it is estimated that there will be unmet demand in 5 to 10 years of 140,000 – 190,000 analysts and 1.5 million data-savvy managers.



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