Tuition Fee
EUR 8,400
Per year
Start Date
Medium of studying
Blended
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Data Analytics | Data Management | Data Science
Area of study
Information and Communication Technologies
Education type
Blended
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 8,400
Intakes
| Program start date | Application deadline |
| 2024-09-16 | - |
About Program
Program Overview
The MSc in Data Analytics is a blended-learning program designed for IT graduates and professionals seeking to specialize in data analytics. It provides a comprehensive foundation in data preparation, visualization, machine learning, and big data storage and processing. Graduates are equipped with the skills and knowledge to pursue careers in data analytics across various sectors, including business intelligence, finance, healthcare, and transportation.
Program Outline
Degree Overview:
The Master of Science (MSc) in Data Analytics is a blended-learning postgraduate masters degree course designed for IT graduates and professionals, and graduates from cognate
umeric disciplines. The program aims to produce graduates who can enter roles related to Data Analytics across all sectors of the economy.
Objectives:
- To provide a progression pathway for graduates of level 8 major awards in ICT or cognate disciplines to specialize in Data Analytics.
- To award graduates with a level 9 qualification on the National Framework of Qualifications.
- To enable graduates to improve their careers by earning a qualification that helps them secure or advance in employment in intermediate and advanced industry positions specific to Data Analytics.
- To provide the IT sector with graduates who have the necessary attributes to contribute positively to the industry.
- To provide graduates with the foundation for further studies at level 10 (PhD) in Computing or related disciplines.
Outline:
Stage 1 (Taught Stage)
- Programming for Data Analytics: Concepts, problem-solving techniques, data manipulation operations, optimization, concurrency, testing, quality control, and maintenance. Assessment: 100% continuous assessment (CA).
- Statistics for Data Analysis: Statistical methods, probability, and numerical methods. Includes an embedded "bootcamp" of basic statistics. Assessment: 100% continuous assessment (CA), comprising three assignments.
- Data Preparation and Visualization: Exploratory data analysis, data preparation, feature selection, dimensionality reduction, bias-variance trade-off, encoding, feature engineering, data visualization, and transmission media. Includes an embedded "bootcamp" of basic programming concepts. Assessment: 100% continuous assessment (CA), comprising three assignments.
- Machine Learning for Data Analysis: Machine learning methods, techniques, and algorithms for data analysis. Serves as a basis for more advanced data analytics introduced in adjoining modules. Assessment: 100% continuous assessment (CA), comprising three assignments.
- Research and Professional Ethics: Knowledge, skills, and competencies in research, professionalism, ethics, and governance. Includes embedded learning from other modules, particularly the applied data project in the final semester. Assessment: 100% continuous assessment (CA), completed throughout the module.
- Big Data Storage and Processing: Data management, storage, and processing for analysis. Assessment: 100% continuous assessment (CA), comprising three assignments.
- Advanced Data Analysis: Development of a learning system for data analysis, building upon statistical modelling knowledge and machine learning. Assessment: 100% continuous assessment (CA), comprising three assignments.
Stage 2 (Project)
- Data Analytics Project: Application of knowledge gained in taught modules in a structured environment, with freedom to engage with a specialist area of interest. Includes project management tools and theory, as well as the practical implementation of these tools to formulate, plan, and deliver on a chosen area of research and application.
Assessment:
- 100% continuous assessment for all taught modules, comprising three assignments for each module.
- Peer presentation and solution demonstration for the project stage.
- Integration of assessment and module-specific assessment utilizing both group and individual work.
- Formative assessment integrated into module delivery and feedback.
Teaching:
- Blended learning format, combining on-campus and online activities.
- Online activities include live or pre-recorded lectures, independent learning, assessments, research tasks, discussion forums, simulations, quizzes, and e-portfolio work.
- On-campus activities include small group tutorials, labs, project supervision, problem-solving case studies, library research, and seminars.
Careers:
- Business Intelligence Analyst
- Data Analyst
- Data Scientist
- Data Engineer
- Quantitative Analyst
- Data Analytics Consultant
- Operations Analyst
- Marketing Analyst
- Data Project Manager
- IT Systems Analyst
- Transportation Logistics Analyst
- Financial Data Analyst
- Healthcare Data Analyst
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About University
CCT College Dublin: A Summary
Overview:
CCT College Dublin is a private higher education institution specializing in computing, information and communications technology (ICT), and business. It offers a range of full-time and part-time undergraduate and postgraduate programs, including diplomas, degrees, and professional courses.
Services Offered:
Academic Programs:
CCT offers a variety of programs in computing, ICT, and business, including undergraduate and postgraduate degrees, diplomas, and professional courses.Springboard+ and HCI Courses:
The college provides government-funded courses in areas like Data Analytics, Artificial Intelligence, Software Development, and Cybersecurity. These courses are available at various levels, from Diploma to Masters.Professional Online Skill-based Training:
CCT offers online courses in areas like Cyber Security Fundamentals, Microsoft Azure, Predictive Data Analytics, Digital Marketing, and Python Programming.Admissions Support:
The Admissions Office provides guidance and support to prospective students, including one-on-one meetings and online chat services.Open Events and Information Sessions:
CCT regularly hosts information evenings for prospective students to learn about programs, meet lecturers, and connect with other students.Key Reasons to Study There:
Industry-Relevant Programs:
CCT's programs are designed to meet the demands of the modern workforce, providing students with practical skills and knowledge.Government-Funded Courses:
The Springboard+ and HCI courses offer significant financial assistance to eligible students.Flexible Learning Options:
CCT offers both full-time and part-time programs, as well as online courses, to accommodate diverse student needs.Experienced Faculty:
The college boasts a team of experienced and qualified lecturers who are dedicated to student success.Strong Industry Connections:
CCT has strong connections with industry partners, providing students with opportunities for internships, placements, and career development.Academic Programs:
Undergraduate Degree Courses:
CCT offers Level 8 Honours Undergraduate Degree courses in IT and Business.Postgraduate Courses:
The college offers Postgraduate Higher Diploma and Masters Degree courses in areas like Computing, Software Development, Cybersecurity, Artificial Intelligence, Data Analytics, and International Business.Professional Online Skill-based Training:
CCT provides online courses in various areas, including Cyber Security Fundamentals, Microsoft Azure, Predictive Data Analytics, Digital Marketing, and Python Programming.Other:
Location:
CCT College Dublin is located at 30-34 Westmoreland Street, Dublin 2.Quality Assurance:
The college is committed to quality assurance and holds various accreditations and memberships.Alumni Network:
CCT has a strong alumni network that provides support and networking opportunities for graduates.Total programs
34
Admission Requirements
Entry Requirements:
- Applicants require evidence of numerate, technical and analytical ability to a minimum of NFQ level 8 standard.
- The following are accepted as appropriate evidence for direct entry:
- An NFQ Level 8 major award or higher, in the disciplines of ICT/Computing, Business, Science or Engineering or cognate discipline.
- An NFQ Level 8 major award, along with relevant experience in the area of Data Analytics and/or professional certification, may also be considered.
- Applicants will also be required to evidence ability in the application of mathematical concepts such as algebra or spreadsheet analysis and formulas, database knowledge, for example, to a level 8 standard.
- This is essential to demonstrate applicants’ numerate, technical and analytical ability required to ensure capacity for the extent of mathematical and technical content related to the program.
- This program is designed for individuals who have previous knowledge in computing, analytics or similar through professional experience and/or educational qualifications.
- This program is not suitable for individuals with only basic computer literacy.
- Prior programming experience is not essential for admission.
- All learners will be required to complete the CCT Programming Induction Bootcamp.
- A learner who can present evidence of currency in programming using Python can apply to the Programme Leader for exemption from this element of the induction program. Such applications should normally be made not less than 2 weeks prior to program start.
Language Proficiency Requirements:
- Applicants whose first language isn’t English must demonstrate a minimum competency in the English Language of CEFR B2+.
Location
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