| Course Name |
Data Analytics |
| Course Provider |
Dundalk Institute of Technology |
| Course Code |
Dk_ICDAN_9 |
| Course Type |
Postgraduate |
| Qualifications |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
| Degree - Masters (Level 9 NFQ)
More info...
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Major |
Dundalk Institute of Technology |
Level 9 NFQ |
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| Apply To |
Course provider |
| Attendance Options |
Full time, Part time, Online or Distance, Blended |
| Location (Districts) |
Dundalk |
| Qualification Letters |
MSc |
| Application Date |
You should apply using the DkIT Postgraduate Application. Please include an up-to-date CV with your application form and send your completed application to Admissions Office, Dundalk Institute of Technology, Dublin Road, Dundalk, Co. Louth. |
| Application Weblink |
Web Page - Click Here |
| Duration |
1-2 Years (Full time or Part-time).
Course Delivery
This course is delivered fully online over two semesters but participants will be required to attend campus once per semester for exams. |
| Financial Support |
Expand+Tax Relief / Other Funders
Tax relief at the standard rate of tax (20%) is available for certain tuition fees on courses which lead to third-level awards.
For further information visit revenue.ie to receive a copy of form IT31. This applies onl...
Hide-Tax Relief / Other Funders
Tax relief at the standard rate of tax (20%) is available for certain tuition fees on courses which lead to third-level awards.
For further information visit revenue.ie to receive a copy of form IT31. This applies only to students who are funding their studies from their own income. Always retain your receipt of payment from DkIT for tax purposes.
In certain circumstances students may receive financial aid in paying their fees from County Enterprise Boards, Leader Partnerships, Department of Social Protection and other organisations.
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| Entry Requirements |
Minimum Entry Requirements
The standard minimum entry requirement is a 2.2 Honours Degree (NFQ Level 8) or equivalent in the area of Mathematics, Statistics, Computing, Engineering, Science or equivalent qualification in a cognate discipline, which includes a minimum of 15 credits in Mathematics and Statistics and 10 credits of programming centric modules.
The Higher Diploma in Science in Data Analytics Level 8 award is seen as an entry route to this programme. |
| Number of Places |
20 |
| Course Summary |
The aim of this programme is to produce highly-skilled graduates with expertise that cuts across the core disciplines of Mathematics, Statistics and Computer Science. It emphasises the critical connection from data to information, from information to knowledge, and from knowledge to decision making, encompassed in the Data-Lifecycle. |
| Course Content |
Expand+Course Description
This Master of Science in Data Analytics is a one-year full-time or two-year part-time Level 9 programme primarily aimed at students with strong numeracy skills who wish to extend their skill-set to a more advanced level of theor...
Hide-Course Description
This Master of Science in Data Analytics is a one-year full-time or two-year part-time Level 9 programme primarily aimed at students with strong numeracy skills who wish to extend their skill-set to a more advanced level of theoretical knowledge and practice and to further develop their research capabilities and innovation skills in the area of Data Analytics. The programme takes an integrative approach, focusing on the synthesis of knowledge and practice from specialist areas within the data analytics and computing domains.
The educational aim is to develop students’ analytical, critical thinking, problem-solving and communication skills and to foster their research capabilities and innovation skills in the area of Data Analytics.
The primary aim is to develop expert knowledge in aspects of data required to become highly-skilled Data Analysts: with modules in Statistics, Data Visualisation, Time Series, Data Architecture, Machine Learning, Statistical Programming and Ethics in Data.
Who Should Apply?
- Individuals who are numerate, and have good programming skill-set;
- Individuals who like to be a part of cutting-edge technology that works to improve human-machine and machine-machine interactions;
- Individuals who wish to extend their skill-set to a more advanced level in the area of Data Analytics to improve their career prospects or make a career change.
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| Subjects Taught |
Data Architecture (part 1 of 2)
Statistics
Programming for Data Analytics
Research Process for Data Analytics
Data Architecture (part 2 of 2)
Data Visualization and Insight
Time Series Analysis
Machine Learning
Ethics in Data Analytics
Research Project
Further information on module content can be found on course webpage at dkit.ie |
| Number of Credits |
90 credits @ Level 9 |
| Careers or Further Progression |
Career Opportunities
These career paths can take place in many different sectors and industries including areas such as research; academia; business; finance; banking; healthcare; pharmaceuticals; commercialism; and technology.
Graduates from MSc in Data Analytics can find Industry roles such as Data Analyst, Data Scientist, Data Engineer, Data Architect, Business Data Analyst, Data Visualisation developer and Statistician. |
| Further Enquiries |
Dr Fiona Lawless (Head of Computing Science and Mathematics)
Phone: +353 42 9370200
Email: fiona.lawless@dkit.ie
Dr Jack McDonnell (Programme Director)
Email: jack.mcdonell@dkit.ie |
| Course Web Page |
Web Page - Click Here |
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