数据分析硕士

Description:

MSc in Data Analytics – full time

Location:

IFSC Campus

Duration:

1 year

NFQ Level:

Masters

 

在线申请

Please note this course is currently subject to QQI validation

The computing course aims to produce high-quality, technically competent, innovative graduates that will become leading practitioners in the field of data analytics.

The course structure accomodates a wide audience of learners whose specific interests in data analytics may be either technically focused or business focused. All students will also gain exposure to pertinent legal issues and product commercialisation considerations associated with the data analytics field. The course will be delivered using academic research, industry-defined practical problems, and case studies. This approach will naturally foster a deeper knowledge of the subject area and create transferable skills for work such as critical thinking, problem- solving, creative thinking, communication, teamwork and research skills. The course is completely delivered by faculty and industry practitioners with proven expertise in data analytics.

Who is the course for?

This course is ideal for graduates that are looking to progress into the emerging data analytics market to increase their employment potential. The course is suitable for graduates who have technical or mathematical problem solving skills. Graduates from disciplines that have not developed these skills will need to be able to demonstrate an aptitude for technical or mathematical problem solving.

 

As a graduate of this course you will be able to:

  • Conduct independent research and analysis in the field of data analytics
  • Implement a research idea using the latest industry practices
  • Demonstrate expert knowledge of data analysis and statistics
  • Critcally assess and evaluate business and technical strategies for data analytics
  • Develop and implement business and technical solutions for data analytics

Indicative Schedule

Students need to be available 09.00-18.00 Monday – Friday. Class days and times vary.

Duration

This course extends over 1 year of 2 semesters.

Entry Requirements

An honours (level 8) primary degree with a 2.2 award or higher in a cognate discipline. The college operates a Recognition of Prior Experiential Learning (RPEL) scheme meaning applicants who do not meet the normal academic requirements may be considered based on relevant work and other experience.

Award and Progression

The Master of Science in Data Analytics is awarded by QQI at level 9 on the National Framework of Qualifications (Subject to validation). Students who successfully complete this course may progress to a major award at level 10 on the NFQ.