Data Science & Analytics - Cork / Online
The programme aims to develop highly skilled and competent graduates in the rapidly expanding field of Data Science. The programme has been designed and developed with industry experts to ensure that graduates develop core skills in programming, database management, statistical modelling, time series analysis, machine learning, data visualisation and interpretation.
| Award Name | Higher Diploma (Level 8 NFQ) |
|---|---|
| NFQ Classification | Major |
| Awarding Body | Munster Technological University |
| NFQ Level | Level 8 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Higher Diploma (Level 8 NFQ) | Major | Munster Technological University | Level 8 NFQ |
Duration
2 years, part-time, blended.
Course Delivery
Prospective applicants should note that students in this programme will be required to attend on-campus classes at MTU Bishopstown for a number of assessments and examinations each semester. Dates will be advised to students early each semester.
Entry Requirements
Applicants will already hold a primary degree, and must be highly motivated, interested in data science and capable of independent learning. Preference will be given to applicants with a background in cognate and analytical disciplines, who would benefit from an opportunity to gain expertise in ICT (data science) skills which are particularly relevant to industry.
All candidates with a Level 8 qualification or equivalent will be considered. Candidates with a Level 7 qualification and significant relevant experiential learning may be eligible through our recognition of prior learning processes.
What is RPL?
Recognition of Prior Learning (RPL) is when formal recognition is given for what you already know prior to starting on a programme or module. With recognition of prior learning the focus is on learning and not on experience as such. You can apply for RPL in any MTU accredited programme or module. Programmes which are accredited by professional bodies or any external awarding bodies may have their own procedures for RPL which you should refer to.
Further information
€6,300
Please note that applicants will be required to pay an acceptance fee of €510 online if a place on a course is offered. This fee is deductible from the overall course fee.
Note: You will not be charged for applying for the programme by clicking the 'apply now' button; you are only asked to pay an acceptance fee if a place is offered to you, and you wish to accept it.
The importance of the field of Data Science has exploded in recent years with a growing demand for experts in a variety of different industries. With ever increasing growth in data generation and collection, the value of data to industries is highly dependent on appropriate analysis. Consequently, data science and analytics has become a core component of both government bodies and private industry wishing to maintain competitiveness and gain advantages.
The Higher Diploma in Science in Data Science & Analytics (NFQ Level 8) in MTU is a collaboration between the Department of Mathematics and the Department of Computer Science. The programme aims to develop highly skilled and competent graduates in the rapidly expanding field of Data Science. The programme has been designed and developed with industry experts to ensure that graduates develop core skills in programming, database management, statistical modelling, time series analysis, machine learning, data visualisation and interpretation.
Course Delivery
Prospective applicants should note that students in this programme will be required to attend on-campus classes at MTU Bishopstown for a number of assessments and examinations each semester. Dates will be advised to students early each semester.
This is a 60-credit programme, in which three core strands —Data Science, Statistics, and Computer Science —are developed over two semesters, with an increasing specialisation in statistical analysis and machine learning. There will be significant opportunities throughout to apply theoretical knowledge and develop problem-solving skills through practical and laboratory sessions. The learner will also undertake a capstone project, which will be a key opportunity to demonstrate the ability to synthesise the learning acquired in the programme, and to apply it to the solution of an authentic problem in Data Science and Analytics.
The graduate will gain significant practical experience, in software packages and programming languages including R, Python, Excel, SQL, NoSQL, Tableau, Spark and Hadoop for example.
Award
Higher Diploma in Science in Data Science & Analytics (Level 8 on the National Framework of Qualifications).
Modules
Mandatory:
Intro to R for Data Science
Data Science and Analytics
Scientific Programming in Python
Applied Statistics and Probability
Data Management Systems
Mathematical Methods and Modelling
Regression Analysis
Distributed Data Management
Data Visualisation and Analytics
Data Science Analytics Project
Electives:
Time Series and PCA
Machine Learning
Dr David Goulding
Tel: 021 433 5123
Email: mathematicsCork@mtu.ie