Date Analytics

The objective of this course is to provide you a broad combination of themes around data analytics that creates valuable insight and professional expertise. The programme has been designed and developed with industry experts to ensure that graduates develop core theoretical and practical skills in specialist areas such as Statistics, Business Intelligence, Data Governance, Databases, Programming and Machine Learning. This course will equip you to enter the world of data and business analytics.

Who is the course for?
This programme is suitable for non-technical professionals and college graduates from non-technical disciplines, those with numeracy skills who wish to work as data analysts, business analysts or to enter into management roles across a range of sectors. You do not need to have previously studied programming. However, given the timeframe and the amount of technical and statistical content, applicants should be prepared to commit fully to the course.

Subjects taught

• Statistics I
• Programming for Data Analytics
• Data Governance
• Statistics II
• Databases for Analytics
• Business Intelligence
• Machine Learning
• Project

Entry requirements

Applicants holding an honours degree (level 8 or equivalent) in any discipline are eligible for direct access to the programme. In addition, applicants with level 7 degree in a cognate area (e.g. Computer Science/IT, Engineering, Mathematics, Physics, Information Systems, Accounting) are also considered for direct access into the programme.

For other non-standard applications the College operates a Recognition of Prior Experiential Learning (RPEL) scheme, meaning applicants who do not meet the normal academic entry requirements may be considered based on relevant work or other experience.

Typically, holders of more technical and numerate degrees or candidates that are able to demonstrate technical or mathematical problem-solving skills are likely to gain a higher ranking in the selection for the course.

Non-English-speaking applicants must demonstrate fluency in English evidenced by an IELTS academic score of at least 6.0 or equivalent.

Laptop Requirement
This programme has a BYOD (Bring Your Own Device) policy. Specifically, students are expected to successfully participate in lectures, laboratories and projects using a laptop computer with a substantial hardware configuration. A suitable configuration is 8GB of RAM (16 GB or more recommended); a 64-bit x86 processor (Intel i5 or superior); 250+ GB of hard disk; WiFi card; and a recent installed release of Windows operating system. It is the responsibility of the student to ensure their laptop is functioning correctly and that they have full administrator rights to the machine. NCI IT cannot provide support for personal devices. Some students may be able to avail of the Student Laptop Loan Scheme, subject to eligibility

Application dates

Application: Apply online at


(1-Year Option)
3 semesters delivered over 1 calendar year

(2-Year Option)
4 semesters delivered over 2 calendar years

Blended - Livestream with some on-campus stream classes, scheduled in advance.

Indicative Timetable
(1-Year Option)
Three evenings per week, 18.00 - 22.00

(2-Year Option)
Two nights a week, 18.00 – 22.00.

Enrolment dates

Start Date: September 2024.

Post Course Info

Award and Progression
Higher Diploma in Science in Data Analytics is awarded by QQI at level 8 on the National Framework of Qualifications. Students who successfully complete this course may be eligible to progress to a major award at level 9 on the NFQ.

More details
  • Qualification letters


  • Qualifications

    Higher Diploma (Level 8 NFQ)

  • Attendance type

    Blended,Daytime,Evening,Part time,Weekend

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    Course provider