Higher Diploma in Science in Data Analytics

Overview

The Higher Diploma in Science in Data Analytics provides the practical knowledge and skills in the area of computing and data science for learners who wish to upskill or reskill in this area. The programme aims to develop learners' knowledge of the theory and practice of Data Analytics necessary for them to secure employment and perform as graduate level ICT /Data Analytical practitioners in a broad range of commercial, industrial and public sector environments. Learners will benefit from theoretical knowledge fundamental to apply advanced analytics in web and business application, predictive modelling, statistics, programming, machine learning, and advanced visualisation to data sets through a variety of tools and techniques in order to generate actionable insights for stakeholders and support strategic decision making.
 

 The objectives of the programme are to:

Delivery

For full-time students all learners are expected to attend in class in person.
For part-time students this programme is taught on a hybrid basis. This means learners are timetables either in-class or online, in a mix of online and in-class days.

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. maths 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.

   

Teaching and Assessment

This variety of learning approaches noted above can be offered including face-to-face, live online, recorded online, and directed e-learning. The experiential and practical nature of the programme is reflected in the most common learning approach in the program being lab-based lecturers and tutorials, together with classroom-based lecturers and tutorials.
 
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 examinations.

Student Testimonials

"I chose DBS for the social and networking opportunities. I chose the Higher Diploma in Science in Data Analytics programme for better career opportunities. The bonding with DBS teachers and the friendly and competetive environment in the classroom are the things I enjoyed the most!

The lectures were always lively and interesting. The DBS team is very friendly, active and helpful. Having a study environment like DBS helps to keep yourself on track, motivated and develop your personal skills.

I would recommend DBS to others. Along with their well planned academic curriculum and team of staff and lecturers DBS also has many societies and trainings which allows you to master yourself and clear the doubts of holding yourself back.       

My career prospects have improved and the understanding about the DA market is better. My career goal is to be a Senior Data Analyst at one of the top IT tech giants. I plan to upgrade my work experience in line with my DBS qualification. The course allowed me to take Internship as well as ICT project this allows me gain in depth knowledge and to applied skills learnt at DBS."

Vivian Quadros
Higher Diploma in Science in Data Analytics