Program Description

This 4-year level 8 course is aimed at students who enjoyed Mathematics and Statistics at second level and are looking to develop the skills needed to enter the fast growing ICT sector, in particular in the area of Data Science and Data Analytics.

The course is well suited to numerate students who are looking to develop a more applied, industry-focussed skillset than offered by traditional mathematics courses.

The course takes an integrative approach, focusing on first building strong foundational knowledge in the areas of Mathematics, Statistics and Programming, and later facilitating the synthesis of knowledge and practice from high-tech areas within the data and computing domains. The primary aim is to develop specialist knowledge in aspects of data required to become highly-skilled sought-after Data Analysts:

• Fundamental and Advanced Statistics techniques
• Applied Probability
• Data Visualisation techniques that bring the data to life
• Time Series Analysis to investigate copious amounts of time data and trends
• Machine Learning, the fast-paced and popular technique that is big data-driven.

Two great reasons to consider this course

• Data Analytics is identified, both nationally and internationally, as a key future skill and the demand for Data Scientists, Data Analysts and highly numerate graduates continues to grow alongside the massive amounts of available data.
• This course will prepare students to work in the computing industry by helping to develop both their personal and professional skills in a supportive, positive, and student-centred environment .

Career Options

This course builds advanced skills in programming, mathematics and statistics, databases and data mining, combined with highly developed problem-solving skills and will allow graduates to take on different roles in a variety of sectors. This course provides a stepping-stone to many others careers that value those who can think on their feet such as teaching, research and finance.

The typical roles that a graduate could take on include:

• Data Analyst
• Data Scientist
• Data Wrangler
• Data Curator
• Data Architect
• Business Analytics Specialist
• Data Visualisation Developer
• Junior Intelligence designer or Statistician

Admission Requirements

Garde 12 with a minimum of 55% from a CBSE, State board or equivalent. Subjects must include English and Mathematics.

IELTS Requirements

Listening	Reading	Writing	Speaking	Overall
5.5	5.5	5.5	5.5	6

Remarks:

Students who apply first will receive free housing for the first year. The student will receive a rebate of Euros 1400 on the room rent for the second and third years.