Letterkenny Campus

Master of Science

Big Data Analytics

1 year & 2 Years / Level 9 / Full-time & Part-time

Is this course for me?

Our Master of Science in Computing in Big Data Analytics is a one year, full-time or two year, part-time programme. It focuses on the processes involved in examining and interpreting large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information.

Certain semesters of this course are taken in common with other courses.

Year One

SEMESTER	MODULES	MANDATORY/ELECTIVE	CREDITS	CONTACT HOURS
1	Business Intelligence	Mandatory	10	5
	Machine Learning	Mandatory	10	5
	Big Data Analytics	Mandatory	10	5
	Mathematics for Analytics	Mandatory	10	5
	Big Data Architecture	Mandatory	10	5
	Data Science	Mandatory	10	5
	Dissertation	Mandatory	30	0

Follow-on Courses

Follow up programmes elsewhere include:

Level 10 studies (Doctoral) at Letterkenny Institute of Technology or other institutions and universities at home and abroad.
Master Degree by Research at LYIT
Master Degree in Institutes and Universities at home and abroad.

Entry Requirements

Minimum Entry Requirements

Level 8 Honours Degree in Computing, or equivalent, second class honours (2.2), or Higher Diploma in Computing (Conversion Course into Computing). Non computing applicants must have a minimum of 30 ECT credits in Computing or Computing related modules, or computer industry experience. If you do not have an honours degree but have relevant experience you may also be eligible to apply via Recognition of Prior Learning (RPL). Applicants may also attend a one week bridging course where necessary.

Number of Places	20

Information for:

Student Experience

Amber Iqbal

After completing my BSc Hons Degree and Post-Graduate Computing Program from LYIT, I was looking for a Master's course that would further enhance my knowledge and open up better job prospects for the future. This is where LYIT’s master’s program in Big data caught my interest. I checked the program contents, and they fit in well with my objectives. On the path to becoming a Data Scientist, this program expanded my vision through case studies in different sectors, continuous assessments, and particularly with practical studies on data visualization, an area that involved both logic and design. The course introduced me to current technologies such as Hadoop, Amazon AWS, data visualization tools such as Tableau, R-Studio and scientific data analysis languages such as R, Python and SQL. Although it is difficult to juggle time between work and school, you will realize that you made the right decision and significantly boosted your future employment opportunities at the end of the program. With the help of lectures by professional experts at LYIT, I was able to successfully complete this two-year intensive program with distinction and currently working as a Senior Business Intelligence Analyst in a fast-paced tech environment.

Career Pathways

The main employers are:

Companies in business & computing
Finance Companies of all types
Health Care Providers,Logistics,Retail

Graduate Careers

Graduate careers typically include:

Business Intelligence Analyst
Data Analyst
Data Scientist
Data Engineer
Data Analytics Consultant
Operations Analyst
Marketing Analyst
Data Project Manager
Logistics Specialist

Employer Testimonials

How To Apply Download Application Form Download Prospectus

Key Information

Non Eu students will apply via https://noneuapply.atudonegal.ie/
There is a €20 application fee that all non eu students need to pay in order to submit their application .
All programmes will start in Sept 2022
Students can apply from Jan 2022 onwards

Fees

EU Fees: €5,750

Non-EU Fees: €12,000

Further Information

Department Administration: +353 (0)74 9186351

Head of Department Jade Lyons
Email: computing.donegal@atu.ie
Telephone: +353 (0)74 9186304

School and Department
Faculty of Engineering & Technology
Department of Computing