12 months (Full Time)

Course Level

PG Degree

International Students Admission Website

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Type of University


Year of establishment



  • This computing course aims to produce high-quality, technically competent, innovative graduates that will become leading practitioners in the field of data analytics
  • All students will also gain exposure to pertinent legal issues and product commercialization considerations associated with the data analytics field
  • Upon completion of this course, graduates will be able to:
  • Formulate and implement a novel research idea using the latest industry practices
  • Demonstrate expert knowledge of data analysis, statistics, and the tools, techniques, and technologies of data analytics utilized in both technical and business contexts
  • Critically assess and evaluate business and technical strategies for data analytics
  • Develop and implement effective business and technical solutions for data analytics
  • Critically appreciate ethical and data governance issues relevant to data analytics
  • The course will be delivered using academic research, industry-defined practical problems, and case studies
  • This approach will naturally foster a deeper knowledge of the subject area and create transferable skills for work such as critical thinking, problem-solving, creative thinking, communication, teamwork, and research skills
Fees & Expenses
1st year tuition fees
Fees componentsAmount
Tuition & feesINR 12,50,550
Other expenses in 1st Year
Fees componentsAmount
InsuranceINR 27,679
TotalINR 27,679

Calculated at the exchange rate of 1 Euro = INR 83.37


Tuition & expenses were last updated on 9ᵗʰ December 2021

Entry Requirements

QualificationEntry Criteria

No specific cutoff mentioned



  • Applicants must hold a bachelor degree from a recognized institution with an award of 2.2 or higher, depending on the subject area
  • Applicants may be from a cognate/STEM background. Standard Applicants for the program are those holders of computing or numerate degrees
  • All applicants for the program must provide evidence that they have prior programming experience


Marks - 86/120


Marks - 58/90


Marks - 6.5/9

Other eligibility criteria
This course is ideal for graduates that are looking to progress into the emerging data analytics market to increase their employment potential The course is suitable for graduates who have technical or mathematical problem-solving skills This programme has a BYOD (Bring Your Own Device) policy. Specifically, students are expected to successfully participate in lectures, laboratories and projects using a portable computer (laptop/notebook) with a substantial hardware configuration. The minimal suitable configuration is 8GB of RAM (16GB are recommended); a modern 64-bit x86 multi-core processor (Intel i5 or superior); 250+ GB of available space in hard disk; WiFi card; and a recent version of Ubuntu, macOS or Windows. A Laptop Loan Scheme is available for eligible students to assist them in completing their chosen course.
Conditional Offer

Not mentioned

Application Process

Step 1: Prepare documents for application

  • Copy of CV/ Resume

Step 2: Additional documents required

Step 3: Start your online application

Step 4: Application deadline

Scholarship information is not available. You can apply to non-college specific scholarships available for Ireland.

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National College of Ireland

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