MSc in Applied Data Analytics – Online
|Date:||1st September 2017|
|Duration:||2 years part time|
|Grant Aided Cost:||Email: email@example.com|
|Location:||ONLINE with IT Blanchardstown|
The MSc in Applied Data Science and Analytics is a 2 Year part-time programme delivered entirely online by the Institute of Technology Blanchardstown.
Data Analytics is one of the fastest growing areas of IT, across a variety of organizations and industries, and remains mission critical for businesses as it turns information into an asset for deriving insight and making decisions. This reflects the need for companies to do business more smartly, enabled by business intelligence.
The course will focus on the knowledge and skills to select, apply and evaluate data science and big data analytics techniques to discover knowledge that can add value to a company. Students will gain both an in-depth theoretical understanding and practical hands-on experience, including implementing novel and emerging techniques. Participants will be kept abreast of current research and state of the art developments in data science related topics.
All lectures are delivered live online, two-evenings a week, using the Adobe Connect online classroom environment. Students are not required to attend campus for any aspect of the course.
Recordings of all lectures are made available immediately after the lecture. Students have access to lecture recordings for the duration of the course. This, coupled with other learning resources made available through Moodle (virtual learning environment) provides a truly flexible learning environment for all participants.
Modules are assessed through continuous assessment work only.
BI architecture, BI front-end, Data privacy and ethics; Business Intelligence and Data Mining methodologies, and the Business Intelligence life cycle.
Standard Data Mining algorithms for descriptive modeling, classification, clustering, prediction, sequence analysis and association analysis.
Data visualisation; Descriptive Statistics; Improving data quality; Transforming data in preparation for data mining;
Project module: complete an analysis task to meet a business objective.
Additional Electives, students can select two electives:
Natural Language Processing techniques to extract data from unstructured text. Mining data from unstructured text.
Data Mining techniques and algorithms for mining data from Geographic Information Systems.
The algorithms and challenges for processing large datasets; students will need fundamental knowledge and skills in computer programming.
The learner will cover the fundamental ideas of probability and descriptive statistics, moving on to hypothesis testing and the design of experiments
Data Mining techniques and algorithms for mining digital media content
Research Project which can be industry based
The MSc will be delivered by experienced lecturers in ITB and will also include guest lectures from individual subject experts in industry. ITB lecturers include:
- Geraldine Gray (Course Coordinator)
- Markus Hoffman
- Laura Keyes
- Simon McLoughlin
The minimum entry requirement is a 2nd Class Honours Grade 2 (GPA 2.5 or equivalent) in an NFQ level 8 degree in Computing, Science, Engineering, Business with IT or equivalent.
Applicants not meeting this entry requirement may be admitted to the programme on the basis of extensive practical and/or professional experience which can be assessed by the Institute’s APL/APEL process.
Applications are now being accepted for a place on the September 2017 programme, simply forward your CV to firstname.lastname@example.org