BSc (with Honors) in Computing (Data Analysis and Big Data)

Key Points

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Computer Science grades are global, as they have no boundaries. A Computer Science degree will give you the opportunity to work in a wide variety of sectors for companies in Ireland and abroad. The future opportunities in computing are many, and with a degree in computing, your future in a creative and innovative industry is assured.

An interesting feature of this program is that it incorporates labor practices. This gives you the opportunity to develop practical industry skills and gain ‘real world’ experience that will provide you with a smooth transition to the workplace after graduation.

The specific objectives of the program are:

• The BSc (Hons) in Computing (Data Analytics and Big Data) will prepare you for a career in a wide variety of industries. You will develop skills, competence and knowledge in current technologies, gain practical work experience, and specialize in data analysis and Big Data, a rapidly growing area in the IT industry.
• The Digital Universe is growing at a phenomenal rate. Big Data comes from everywhere, posts on social media sites like Facebook, Twitter, and Snapchat, GPS signals from mobile phones, your online footprint, and many more. As a result, there is a great demand for data analytics graduates to support this rapidly growing phenomenon.
• The BSc (Hons) in Computing (Data Analytics and Big Data) will provide you with the technical skills to investigate large amounts of data to discover hidden patterns , correlations and other knowledge.
• With these skills, you will analyze data and get responses from it almost immediately.
• As a graduate of this discipline, you will have a clear understanding of the theoretical and practical foundations of data analysis.
• You will experience the use of current technologies to interpret, analyze and visualize Big Data to solve problems related to large data sets.

Career options

The BSc (Hons) in Computing (Data Analytics and Big Data) is intended to position graduates for recruitment into positions in the areas of:

• Data manager
• Data analyst
• Database engineer
• Database support engineer
• Systems Engineer
• Big Data Engineer
• Data architect
• Business Intelligence Analyst
• Database developer
• SQL Database Administrator
• NoSQL database administrator
• MySQL database administrator
• SQL Analyst
• Data Warehouse Engineer

Program structure

This four-year, full-time course is divided into 9 required modules in Years 1 and 2. In Year 3, students will complete a 10-month internship. In year 4, students will complete 4 modules and a final project.

BSc (Hons) Computing (Data Analytics and Big Data) students specialize in Data Analytics and Big Data. A key focus of the program is to provide graduates with a systematic understanding of the principles, theory, and application of computer science.

The BSc (Hons) in Computing (Data Analytics and Big Data) program has been prepared in accordance with current developments within the ICT sector and is based on feedback from government stakeholders and employers. A key feature of the proposed program is its increased focus on employability.

As mentioned, an interesting feature of this program is that it incorporates a basic 10-month job placement.

Through this job placement, graduates of this program will have the opportunity to gain the practical experience and skills required in relation to program content that should ensure a smooth transition. problems and further progression within the workplace after completing the final year of the program.

Admission requirements

• S according to the new scale of common points for the certificate of Completion of 2019, applicants must earn a minimum of 2H5 and 4 O6 / H7, including one language. Subjects must include math, Irish or other language, and English.
• For international candidates, the foreign equivalent is required. In addition, an officially translated degree will be required.
• IELTS 6.0, with no less than 6.0 in any component (or its internationally recognized equivalent).

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