Higher Diploma in Science in Data Analytics

Overview
Course Content
Structure
Career Opportunities
Fees
Next Steps

Overview

The Higher Diploma in Science in Data Analytics is a one-year full-time or two-year part-time programme aimed at individuals seeking to upskill or reskill in computing and data science. The programme is designed to provide learners with practical knowledge and skills in data analytics, covering areas such as web and business application, predictive modelling, statistics, programming, machine learning, and data visualisation. It also offers opportunities to analyse and solve real-world ICT projects through work placement and project work.

Objectives

The programme objectives of the Higher Diploma in Science in Data Analytics are:

Develop learners’ 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.

Delivery

This programme is delivered through both online and face-to-face modes of delivery.

Minimum Entry Requirements

To be eligible for the Higher Diploma in Science in Digital Data Analytics programme, applicants typically need to meet the following minimum entry requirements:

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, or 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.

All applicants, including EU and non-EU, apply directly to the Admissions Office, with non-EU applicants residing outside Ireland/EU applying to the International Admissions Office.

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

Student Testimonial

"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

Module Name	ECTS
Statistics for Data Analytics	5
Programming for Data Analytics	10
Databases and Business Applications	5
Data Visualisation and Communications	5
Data and Network Mining	5
Applied Data Analytics	10
Platforms for Data Analytics	10
Project (elective)	10
Placement (elective)	10

Teaching and Assessment

Here's a summary of the curriculum, teaching, and assessment approach for the Higher Diploma in Science in Data Analytics programme:

Curriculum:

It covers core modules providing a foundation in data analytics, alongside specialised modules that delve into areas like data mining, applied data analytics, and platforms for data analytics.
The programme emphasises the development of both practical computing skills and soft skills, such as communication and teamwork.

Teaching and Learning:

A variety of teaching methods are employed, including lectures, workshops, tutorials, and practical sessions.
The approach focuses on active learning, problem-solving, and critical reflection on real-world case studies.
Technology is integrated into the learning environment, with resources like the Moodle VLE and online tools used to support teaching and learning.

Assessment:

Assessments are designed to evaluate learners' achievement of learning outcomes and include a mix of methods.
These methods can include assignments, practical lab tasks, projects, presentations, and examinations.
There's an emphasis on assessments that reflect the applied nature of the programme, mirroring real-world challenges.

Module: Work Placement

Overview
The work placement module is a central component of the learning journey, designed to seamlessly bridge the gap between academic theory and practical application in the field of data analytics. This module challenges learners to integrate their acquired knowledge while developing critical self awareness, personal skills, and reflective practice. By engaging in real world projects, students gain firsthand insight into professional working life, build their professional network, and enhance their post graduation employability. The placement culminates in a comprehensive end of placement report where students reflect on their achievements and analyse their practical learning experiences.

Placement and Host Company Requirements
Host companies must provide a professional ICT or data focused environment that allows learners to engage with real world industry challenges. The placement provider should facilitate opportunities for the student to work both independently and as part of a team, taking responsibility for the timely delivery of defined goals. The environment must also allow the student to actively appraise the company's business model and mission statement. In return, host employers benefit from a flexible, cost effective source of skilled labour bringing fresh perspectives, new technical practices, and an opportunity to identify potential future graduate recruits.

Arranging Your Placement
Students are entirely responsible for sourcing and securing their own work placements. Learners are encouraged to leverage this search process to explore possible career paths, increase their awareness of the data and tech sectors, and build a network of potential industry contacts. While the onus remains on the student to arrange the role, the placement serves as a critical stepping stone, allowing learners to demonstrate self motivation, initiative, and communication skills before officially entering the data analytics workforce.

The Higher Diploma in Science in Data Analytics programme is structured across three semesters at full-time and four semesters at part-time.

Full-time

Semester 1:

Statistics for Data Analytics
Programming for Data Analytics
Databases and Business Applications
Data Visualisation and Communications

Semester 2:

Data and Network Mining
Applied Data Analytics
Platforms for Data Analytics

Semester 3:

Project OR Placement

Part-time

Semester 1:

Statistics for Data Analytics
Programming for Data Analytics
Databases and Business Applications

Semester 2:

Data Visualisation and Communications
Data and Network Mining
Applied Data Analytics

Semester 3:

Platforms for Data Analytics

Semester 4:

Project OR Placement

Career Opportunities

Graduates of the Higher Diploma in Science in Data Analytics programme can pursue diverse career opportunities across various industries. The programme equips learners with skills that are in demand in Ireland, Europe, and the US.

Business Analyst
Data Analyst
Data Scientist

Fees

Please email admissions@dbs.ie for course fees for the Higher Diploma in Science in Data Analytics.

International Fees

EU Fees

Visit Us

Open days are a great way to help you make your decision about DBS and learn more about the programme. As well as experiencing our outstanding facilities, you'll have the opportunity to receive personalised advice from academics from your subject area, meet current postgraduate students and also have your questions answered on general subjects such as entry requirements, student support and the admissions process.

EU Applicants

Applicants should complete the appropriate application form and return it to the Postgraduate Admissions Office along with the following documentation:

• Academic Transcripts (Original & Official English Translation where issued in another language). Applicants who have previously attended DBS need not provide this documentation.

• Proof of Identification (Birth Certificate, Drivers Licence or Passport)

• Detailed Curriculum Vitae

• Proof of English (i.e. IELTS, TOEFL or equivalent) where full time study has been conducted in a language other than English or applicants whose first language is not English

Please see programme content for any course-specific additional application procedures.

In addition to the above, in the instance of Non-EU applicants who have residency in Ireland:

• A copy of your GNIB (Garda National Immigration Bureau) Card, Work permit (if applicable) & Passport

• The letter that was issued to you by the Department of Justice, Equality & Law Reform stating why you were provided with the above documentation.

International Students/ Non EU Applicants

Applicants should complete the appropriate application form and return it to the Postgraduate Admissions Office along with the following documentation:

• Academic documents

• Academic transcripts

• Proof of English (i.e. IELTS, TOEFL or equivalent)

• A Curriculum Vitae

• A copy of your passport

Please note that copies of all documentation must be submitted, and that it must be translated into English where issued in another language. Please do not send original documents as these will not be returned. Dublin Business School has a number of overseas offices and representatives worldwide. Please contact us if you wish to receive further details on your closest DBS representative.

Categories:

Part-Time
Postgraduate Programmes
International
Information Technology
Full-Time

Course overview

Awarding Body:
Quality & Qualifications Ireland (QQI)

Duration: 1 Academic Year
Study Mode: Full-time
Award Level: Level 8 NFQ
Award Type: Major
ECTS Credits: 60
Next Intake:
September 2026