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Science in Data Analytics

Course Description
This programme is designed for Level 8 graduates with strong numeracy skills. There is an increasing need from numeracy, mathematical skills and an ability to conduct effective data analytics, particularly in technologically advanced industries. This course will equip participants with the theoretical and practical skills to enter the world of data analytics. The course aims to provide candidates with a strong foundation in statistical techniques, spreadsheet technologies, advanced databases and statistical programming using R software. The combination of modules will help participants become more analytical and more data aware and give them the skills to conduct effective data and big data analytics.

Aspects of Statistical Machine Learning will also be explored as will the importance of ethics and social responsibility in the sourcing, handling and use of data. In the year-long Project module in year two participants will have the opportunity to combine the domain specific knowledge/skill from their primary degree(s) to the IT and Data Analytics sector.

Who Should Apply?
This course is created for those who wish to develop the skills, expertise and knowledge to work as Data Analysts. It will provide learners with the required skills in the areas of statistics, programming and databases that will enable them to transfer much of the domain specific knowledge/skill already gain in their primary degree(s) to the IT and Data Analytics sector.

The course will be delivered as an evening programme ideally suited to those who cannot commit to full time study. For face-to-face learning attendance is required on the DkIT campus two evenings per week and 4-6 Saturdays per year to accommodate intensive face-to-face interaction. Independent learning will be supported using an online virtual learning environment (Moodle).

Entry requirements

Applicants MUST already possess a Level 8 qualification (Honours Degree) which includes a strong numeracy element (15 credits Mathematics and Statistics of which 5 credits in Basic Data Analysis or Statistics), or demonstrate an equivalent level of numeracy and capacity to succeed, based on experiential learning acquired through extensive industrial experience. No prior programming exposure is required.

It is recommended that participants read in preparation for the course Cathy O'Neil: Weapons of Math Destruction, ISBN 978-0-141-98541-1.

Duration

2 Years

Monday and Wednesday evenings 18:00–21:00 plus 4–6 Saturdays per year on campus.

Number of credits

60

Further enquiries

Dr. Fiona Lawless
Department of Computing Science and Mathematics
T +353 (0)42 937 0200
E fiona.lawless@dkit.ie

Subjects taught

Course Content
→ Statistics using R (semester 1 and 2)
→ Spreadsheet Data Analytics (semester 1)
→ Research Methods (semester 1)
→ Real Time Data Analytics (semester 2)
→ Ethics and Social Responsibility (semester 2)
→ Applied Database Systems (semester 3)
→ Mathematics for Data Analytics (semester 3)
→ Applied Statistics (semester 4)
→ Data Visualisation (semester 4)
→ Project (semester 3 and 4)

Comment

Awarding Body
Dundalk Institute of Technology Higher Diploma level 8
Subject to Validation

Application date

Apply online Visit www.dkit.ie/partime for information on how to enrol online for this course
or see Application weblink below.

Please note that early registration is advisable as the number of places on many courses is limited. Applications will be dealt with in order of receipt of completed application and appropriate fee. Apply by 14th September 2018.

Course fee

€3820*

€1910 per annum

*Applicants may pay in instalments. Please visit www.dkit.ie/parttime for more information.

Enrolment and start dates

Starting Date 24 September 2018

Registration for a part-time course at DkIT could not be easier. Just click on www.dkit.ie/parttime to search for your course and follow the 'How To Apply' instructions on the course page.

Please note that early registration is advisable as the number of places on many courses is limited. Applications will be dealt with in order of receipt of completed application and appropriate fee.

Applicants must notify the Lifelong Learning Centre in writing in the event of your withdrawal from any course for any reason.

If you have any questions about registering for a course, contact our Lifelong Learning Team on E parttime@dkit.ie or call us on T +353 (0)42 9370 290.

Or Attend our Information Evening on 11th September 2018

Remember to mention gradireland when contacting institutions!