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CCT College Dublin Data Analytics is a postgraduate degree that is aimed at Information Technology graduates as well as professionals from related disciplines. Many companies in the current world realise the importance of a data-driven business strategy. Thus, they look for talented individuals who can provide insight into the constant stream of information. Using big data for business advantage has become a standard practice globally. This has resulted in a skill shortage that this programme aims to produce. The graduates studying this programme will be able to apply for roles in the industry of data analytics.
| University Name | CCT College Dublin |
| Course Name | Data Analytics |
| Eligibility | 10 + 2 from recognised board; Bachelors in relevant field; English Proficiency Test scores |
| Fees | €14,000 full-time or €9,250 part-time |
| Careers | Operations Analyst, Business Intelligence Analyst, Data Scientist, Data Analyst, Data Analytics Consultant, Data Engineer, Data Project Manager, Transportation Logistics Analyst, Marketing Analyst, Healthcare Data Analyst, Financial Data Analyst. |
This Blog Includes:
Why Study CCT Dublin Data Analytics?
The students pursuing the full-time course will become IT graduates or graduates of cognate disciplines. The part-time programme consists of students who are currently employed in the IT sector and/or graduates of cognate disciplines and require upskilling because of the accelerated pace of digital economic transformation. Thus, the college provides a flexible model, wherein the aspirants can select any model according to their needs.
Data Analytics Course at CCT Dublin: Types
CCT College Dublin offers master’s, higher diploma and diploma courses in Data Analytics. Let’s understand each of these types and what it offers:
MSc in Data Analytics Course
The MSc in Data Analytics is a postgraduate master’s degree program geared toward IT graduates and professionals, as well as graduates from cognate/numerical subjects.
The taught modules on the Master in Data Analytics are followed by a Data Analytics project that allows students to apply their knowledge to a specialized applied Data Analytics problem that has been initiated by the industry and will be used as the context for planning, designing, building, and testing potential analytical solutions. Programming, statistics, technology-enabled data analysis employing machine learning and artificial intelligence, data visualization, research, and ethical studies in the field are among the modules covered.
Time management, communication, critical thinking and analysis, research, presentation, as well as management and leadership development, ethics, project management and evaluation, and professional judgment are all interwoven throughout the program.
The Master of Science (MSc) in Data Analytics program will be delivered through blended learning. The program’s contact hours are a mix of traditional face-to-face classroom learning and virtual classroom learning, as well as face-to-face and virtual lab sessions/workshops.
Full-time students must attend 15 hours each week. Part-time students attend 8 hours each week, divided into two evenings, with some weekend attendance required for campus-based / virtual practical labs/workshops.
Higher Diploma in Science in Data Analytics for Business
The Higher Diploma in Science in Data Analytics for Business course aims to provide learners with a degree outside of computing as well as those currently involved in the IT sphere with the opportunity to refocus and reskill for careers that require Data Analytics knowledge and skills. This program is specifically created for people who have demonstrated numerate, technical, and analytical skills and who want to or are working in areas that need data analysis or data interpretation to inform corporate management and decision-making.
This Higher Diploma in Data Analytics for Business is a tough and skills-focused conversion course, so applicants must be highly driven and fully committed to the program to be successful. The course covers current business trends in big data use, as well as the tools and technology used to implement data analytics across a wide range of business types experiencing digital transformation. It also covers the many types of statistical analysis and their underlying implementation.
The course has begun to be provided on an expedited part-time blended learning basis in September 2023 as part of the HCI Pillar 1 course financing.
90% of the course expenses for the HCI-funded curriculum will be reimbursed for people who are already employed, as well as recent Level 8 Degree Graduates who are academically eligible for admission and want to specialize in Data Analytics. The program will be free for all qualifying applicants (including those with 3+ years of EU ordinary residency) who are unemployed, formerly self-employed, or ‘Returners’.
Diploma in Data Analytics for Business
The Diploma in Data Analytics for Business is aimed at learners who want to expand their knowledge, skills, and competence in the field of data analytics. It will be available starting in September 2023, financed by Springboard+. This program is designed to generate graduates with the characteristics demanded of Data Analysts today, as well as the ability to continue to improve knowledge, skill, and competence to remain competitive and marketable in an ever-changing industry.
The curriculum follows a carefully planned program schedule, with modules centred on data analysis themes. Significant industry consultation was used to inform the design and development of courses in this program. The program includes classroom and laboratory instruction, as well as participatory workshops. All of this takes place in an industry-specific setting. Real-world challenges generated by industry will be presented and used as the framework for planning and constructing assessment solutions, as well as assistance for problem-solving sessions. The integrated learning from all modules seeks to prepare learners for career and/or academic advancement.
In addition to the data analytics and related technical skills that will be fostered during the participants’ studies, transferable skills that will be developed throughout the programme through the varied teaching and assessment methods include: critical analysis, advanced evaluation, self-analysis and personal reflection, problem-solving, communication skills, written communication skills, team management and group-work, and professionalism.
This is a one-year, part-time Diploma in Data Analytics for Business course with contact hours delivered during evening and weekend schedule slots (to allow any enrolled student who is not currently employed to accept a daytime job offer and continue to completion of the course, as well as to allow those who are employed to balance course work with other full-time commitments).
Diploma in Predictive Data Analytics
This data analytics course is meant to educate the learner with the skills needed to collect data from any data source and extract previously unknown beneficial insights, delivering a new perspective on the difficulties encountered during the business decision-making process.
In this training, the learner will become acquainted with a variety of leading tools for gathering information from various sources and applying generally used algorithms to derive answers to typical business issues from data, namely Rapidminer. Data mining assists decision-making by informing important stakeholders using the most reliable source, available data. This technique aids decision-making by allowing for informed decisions before making significant adjustments or alterations to any business process.
This course is designed for students who have no prior expertise with data mining or data analysis and want to learn how data is collected, cleansed, and used in data mining procedures.
CCT College Dublin Professional Certification validates completion of the Diploma in Predictive Data Analytics. Professional certification promotes job advancement by demonstrating upskilling. This program does not result in a National Framework of Qualifications (NFQ) award.
Admission Procedure
Below is the complete list of documents required, eligibility criteria, as well as a description of the application process.
Eligibility Requirement
For entry to this programme, applicants need to submit evidence that numerates technical and analytical ability to a minimum of NFQ level 8 standard.
English Proficiency Scores
The students who have completed their previous education in a country where English is not the mother tongue must provide the university with English Language Proficiency requirements.
General Requirements
- Minimum second class lower grade in 10+2 is required
- Undergraduate degree in any subject
- Equivalent industrial work experience
- Minimum English Language Entry Requirement is mandatory for International Students whose mother tongue is not English
How to Apply?
- The students will have to fill out an application form
- The students will have to prove all minimum eligibility by providing relevant documents
- The students will have to pay an application fee
- The students will have to submit a Statement of Purpose
- Resume or Curriculum Vitae
Documents Required
- Application Form
- Statement of Purpose
- English Proficiency Test Scores
- Letter of Recommendation
- Resume or Curriculum Vitae
Career Prospects After CCT Dublin Data Analytics
Graduates of the Data Analytics at CCT Dublin University should be able to secure advanced positions in data analysis in the industry and progress to leadership and research roles. Potential roles include Operations Analyst, Business Intelligence Analyst, Data Scientist, Data Analyst, Quantitative Analyst, Data Analytics Consultant, Data Engineer, Data Project Manager, IT Systems Analyst, Transportation Logistics Analyst, Marketing Analyst, Healthcare Data Analyst, and Financial Data Analyst.
The college aims to produce graduates who are problem solvers, technically skilled, good communicators, as well as effective team players or leaders.
Fees for CCT Dublin Data Analytics
| Course Name | Tuition Fees |
| MSc in Data Analytics | €14,000 |
| Higher Diploma in Science in Data Analytics for Business | €9,250 |
FAQs
Ans. The country is one of the top European countries for students who want to pursue data science courses. The competition for courses in data science in Ireland is quite high. Hence, applicants are suggested to prepare well.
Ans. Employers expect candidates to have a Bachelor’s degree in computer science or any related discipline for entry-level data analyst roles. But it should also be noted that candidates who do not have relevant degrees may also be considered if they have relevant skills that they may have acquired through previous work.
Ans. It is a known fact that a Master’s degree can dramatically increase the aspirants earning potential. If the aspirants hope to earn good then they must do some research on the sectors experiencing gaps in particular skills. Other than that they can find out sectors which have a large market and generally lead to employment. The aspirants should also watch for trends within the industry they want to work in.
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