Overview

This programme has been designed to meet the ongoing need for Data Analysts throughout the workforce which can directly create added value and wealth to the Irish businesses and the society. Technological innovation applied to computing has created a wave of disruptive activity that will change the shape of the global information system over the next decade. The purpose of this programme is to provide students with advanced knowledge, critical thinking and computing skills to be able to meet the industry demands.

Aims of the Programme  

• Develop learner’s ability to enhance their employment opportunities in Data Science sector.

• Enable learners to progress their ability to demonstrate advanced skills in Data Analytics. 

• Develop abilities of an advanced nature in an array of Data Science disciplines.

• Contextualise newly gained practical skills in a real-world environment through placement and project work.

Objectives of the Programme 

• Develop learner’s criticality in order to analyse industry trends in Big Data.

• Develop learners who are capable of performing robust, significant reports on the
  future orientation of the field of data analytics with specific emphasis on the
  problem domain.

• Provide learners with a platform to develop the requisite technical and design skills
  required by industry and to deepen knowledge of statistical analysis and analytical
  models.

• Enable learners to implement scalable Big Data applications.

• Prepare learners to work effectively and collaboratively in the execution of common goals.

• Provide work opportunities where learners can apply knowledge to a real-world
  situation.

Assessment will reflect the applied nature of the programme and will include a combination of ‘take-home’ assignments; skills-based assessments, practical lab tasks, projects, demonstrations and presentations in addition to conventional summative examinations. Assessments will be designed to assess the achievement of learning outcomes and to measure and enhance the skill levels of the learners, in addition to consolidating the material covered. Timely and detailed assessment feedback will be provided to each learner.

Delivery

All learners are expected to attend in person in class.

Entry Requirements

The minimum entry requirements for the Higher Diploma in Science in Data Analytics are:

•  A Level 8 primary undergraduate honours degree with a minimum Pass classification from a recognised third level institution in a non-cognate area and ideally be able to demonstrate mathematical problem solving skills as part of previous programme
  learning. i.e. math's at Leaving Cert level would suffice.

  Or

• A minimum Level 7 Ordinary Bachelor’s degree in a cognate area such as computer science, technology, networking, information systems, engineering, general science, mathematics, statistics, data science.

       Or

• Applicants who do not have a Level 8 qualification and who have at least 3 years’
  work experience may also be considered through the college’s normal RPL
  procedures. Relevant professional experience may be taken into account and
  individuals will be assessed on a case-by-case basis through DBS RPL procedures (see below).

• For applicants whose first language is not English and who have not previously
  undertaken a degree taught through English, evidence must be provided of
  proficiency in English language equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFRL). This must be evidenced through a recognised English Language test such as IELTS, Cambridge Certificate, PTE or DBS English Assessment. Test certificates should be dated within the last two years to be considered valid.

Recognition of Prior Learning

Learners may also access this course on the basis of recognition of prior learning or by assessment of prior experiential learning/informal learning. For this particular programme applicants will be considered on a case-by-case basis based upon their educational record, work experience, their ability to demonstrate technical or mathematical problem solving skills and a capacity to successfully participate in the programme

 *Eligibility and entry requirements apply.