Course Summary
The growth in the field of Data Science and Analytics has been enormous in recent years with a growing demand for practitioners in a variety of industries. With the ever-increasing growth in data generation and collection, industries now rely heavily on appropriate analyses. Consequently, data science and analytics has become a core component of both the public and private sectors who seek to gain a competitive advantage.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
2.1 in a Level 8 Honours degree
Alternatively, graduates with a 2.2 Honours degree will be considered, subject to having three years relevant experience. See RPL for further details.
The language of academic instruction as well as administration is English. Non-native speakers of English require a minimum IELTS score of 6.0 to be considered for entry into this postgraduate programme. Appropriate EFL training courses are offered by MTU Cork to applicants who meet the academic programme entry requirements but who need to increase their proficiency in the English language.
Applicants are also required to
Provide an up-to-date CV with their application
Submit a 500-word statement detailing your motivation for applying for the programme and how it will enable them to meet their career goals
The application process also includes an interview.
Application Details
APPLICATION DEADLINE
Irish/EU Applications: 1st September 2024. Non-EU: 31st May 2024
Fees
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
Graduates of this programme will be of high academic and practical standards having gained key knowledge, skills and competences in Data Science, Machine Learning, Statistics, and Computer Science. Graduates will experience first hand the application of their newly developed skills to solving real-life problems.
Our alumni have gone onto a wide variety of roles as data scientists, as well as other technical and leadership roles in high tech industries such as financial services, pharmaceuticals, IT, brewing, consulting, official statistics, retail analytics, data science banking, and many more.
Duration
Three semesters
Semester 1 – September 2023 to January 2024
Semester 2 – January 2024 to June 2024
Semester 3 – June 2024 to September 2024 OR September 2024 to January 2025