A master degree in Data Science and Analytics provide graduates with the knowledge and skills required to help companies and public bodies deal with ever increasing and complex data.
Data Analytics is the process of examining vast quantities of data, often referred to as Big Data, in order to draw conclusions and insights about the information they contain. Some examples of Data Analytics applications include real-time fraud detection, complex competitive commercial analysis, website optimisation, intelligent air, road and other traffic management and consumer spending patterns.
Big Data presents three primary problems: there's too much data to handle easily; the speed of data flowing in and out makes it difficult to analyse; and the range and type of data sources are too great to assimilate. With the right analytics and techniques, these big data can deliver hidden and unhidden insights, patterns and relationships from multiple sources using Data Analytics techniques.
The programme emphasizes the application of Statistics and Data science methodologies helping transform data into useful information that can support decision making. This program provides students with the necessary fundamental of mathematical and statistical skills required in a variety of Data analytics study areas.
The program provides graduates with an opportunity, to investigate the more applied elements of the disciplines through development of a research project. Advanced Analytics transforms data into informative, adaptive and accessible information.
Data analysis masters programs are available in 13 colleges/universities and institutes of technologies. Data analytics is coupled with other streams such as computing or social work also. Below is a list of institutions that offer the courses and the eligibility criteria for the same.
The programme will equip graduates with the skills and aptitudes necessary to excel in the emerging field of Big Data and Data Analytics. After completing the course you will be able to understand the data context, apply appropriate techniques and utilize the most relevant tools to generate insights into such data.
Students will develop their skills in areas including database technologies, data manipulation languages including SQL and the R programming language. Programming for Big Data, statistics and probabilities and the interpretation of data will be taught in order to understand the data. Interwoven within these modules is the use of industry-standard data analytics software tools. Students will develop skills to become data-savvy practitioners, gaining insights into data from which strategic decisions can be made.
Minimum Entry Requirements: A Level 8 or equivalent honours degree in Business, Science or Engineering, with a minimum grade of 2.1 (60%), comprising of at least 30 ECTS credits in any combination of maths, computer science or engineering.
Non-native English speakers are required to have an IELTS level of 6.5 or higher.
Course fees for MSc Data Analytics for international students is €10,000
A 2H1 in a Level 8 Honours degree or graduates with a 2H2 Honours degree will be considered, subject to having three years relevant experience. The language of academic instruction as well as administration is English. Non-native speakers of English require a minimum score of IELTS 6.0 is required for entry into postgraduate programmes.
Course fees - €12,000
Entry requirements: A minimum Second Class Level 8 Honours Degree (2.2) in a cognate discipline from a recognised third level institution or equivalent.
Course fees - €12,000
The entry requirements for this programme are a 2.1 or higher in computer science or a closely related discipline. Students with a 2.2 may, in exceptional circumstances be considered but may have to attend DCU for an interview or may be asked to carry out a short exercise to ascertain their suitability for this programme (to demonstrate their mathematical and programming ability)
Course fees - €17000
The minimum admission requirements for entry to the programme are a B.Sc. (Honours) in Computer Science, Mathematics or other suitably numerate discipline with computing as a significant component. The degree should be at the level of Honours 2.1 or better or at Honours 2.2 or better with at least 2 years of relevant work experience. Applicants with other qualifications at Honours 2.1 or better level and relevant experience may also be considered.
Applicants must present a minimum IELTS score of 6.5 overall with at least level 6.0 for each component.
Course fees - €12,500
Candidates applying for this course should have a 2.2 Level 8 honours degree in Computing Science, or a 2.2 Higher Diploma in Computing or related discipline or international equivalent and/or relevant work experience.
Course fees - €1,000
A second class honours level 8 primary degree (or equivalent) in computer science or mathematical sciences or hold a degree with a strong numerate content (e.g. engineering, finance, physics, biosciences or economics) is considered as the minimum requirement for admission.
Applicants who do not meet the above standard entry requirements will also be considered if they have an undergraduate degree (at Level 7 or Level 8) and a minimum of 5 years verifiable relevant industrial experience. Applicants who do not have a primary degree will only be considered with a minimum of 10 years verifiable relevant industrial experience.
Course fees - €10,750
Entry requirements include, a Level 8 Honours Degree in Computing, or equivalent, second class honours (2.2), or Higher Diploma in Computing (Conversion Course into Computing). Non computing applicants must have a minimum of 30 ECT credits in Computing or Computing related modules, or computer industry experience. If you do not have an honours degree but have relevant experience you may also be eligible to apply via Recognition of Prior Learning (RPL). Applicants may also attend a one week bridging course where necessary.
Course fees - €9,000
Applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level. The degree should be at level 8 in any subject with some mathematical content.
Minimum English language requirements: please visit Maynooth University International Office website for information about English language tests accepted and required scores. The requirements specified are applicable for both EU and non-EU applicants.
Course fees - €13,500
An honours (level 8) primary degree with a 2.2 award or higher. 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.
For non-EU students the cost of this course is €13,000
The minimum requirement for entry to the full-time and part- time programme is normally a 2.1 degree. Additionally, part-time applicants should have 3+ years of relevant industry experience and availability to attend lectures in NUI Galway. Entry to the Data Analytics MSc GYE06 programme requires a minimum score of 6.5 IELTS, with no less than 6.5 in the writing ability category and no less that 6 in the other categories.
Course fees - €15,500
A II.1 (60%) grade or higher from a reputable university in Computing or strongly related discipline is required. Minimum score of at least 90 on the Internet-based (iBT) TOEFL test (with a written score of 21)
Course fees - €20,500
Candidates must have obtained either a honours level 8 primary degree (minium 2H1 honours or equivalent) in computer science or mathematical sciences or an honours level 8 primary degree (minium 2H1 honours or equivalent) with a strong numerate content (e.g. engineering, finance, physics, biosciences or economics). In such cases the programme team must be satisfied that the numerate content is sufficient for entry to the programme and that applicants have an aggregate grade of a 2H1 in appropriate modules.
Applicants who do not meet the above standard entry requirements will also be considered if they have an undergraduate degree (at Level 8) and a minimum of 5 years verifiable relevant industrial experience.
The Non-EU fee for this course is €18,000
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