MA in Human Resource Management
The MA in Human Resource Management program at National College of Ireland is a prestig...
MSc in Data Analytics
Dublin
INTAKE: Jan & Sept
Program Overview
The MSc in Data Analytics program at National College of Ireland is a leading-edge offering designed to prepare students for careers in the rapidly evolving field of data analytics. In today's data-driven world, this program equips students with the essential skills and expertise to excel in data analysis, interpretation, and decision-making.
Curriculum: The curriculum of the MSc in Data Analytics is meticulously designed to cover a wide range of topics critical for data analytics professionals. Students delve into areas such as data modeling, statistical analysis, machine learning, data visualization, and big data technologies. The program ensures that students acquire a deep understanding of data analytics principles and practical applications.
Research Focus: National College of Ireland places a strong emphasis on research within the context of data analytics. Students have the opportunity to engage in research projects that tackle real-world data challenges, such as predictive analytics, data-driven decision support, and data mining. Faculty members, who are experts in the field, actively support and mentor students, fostering a culture of inquiry and critical thinking.
Industry Engagement: The program is closely aligned with industry partners, allowing students to participate in practical internships, industry projects, and collaborations with leading data-driven organizations. This real-world exposure equips graduates with hands-on experience and insights, enhancing their readiness for careers in the dynamic field of data analytics.
Global Perspective: Recognizing the global significance of data analytics, the program incorporates a global perspective. Students examine international data trends, explore the impact of data analysis on global organizations, and study data analytics standards and best practices from around the world. This global outlook enriches the program and prepares graduates to tackle data challenges on a global scale.
Location
Dublin
Score
IELTS 6.5
Tuition Fee
€ 15000
Postgraduate Entry Requirements
Academic Qualifications: To apply for postgraduate programs at NCI, international students are generally required to have a minimum academic score of 55% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall 6.5 or 7.0, with a minimum score of 6 in each section.
- TOEFL: Overall 86, with no section scoring less than 21.
- PTE: Overall 58, with a minimum score of 54.
- DET: Overall 110.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
National College of Ireland (NCI) is supporting talented and deserving international students by offering various scholarships and financial aid opportunities.
International Scholarships: NCI provides a range of scholarships specifically tailored for international students. These scholarships are merit-based and offer financial assistance to outstanding individuals. The criteria for these scholarships may vary but generally take into account academic achievements, leadership qualities, and community involvement.
Government Scholarships: In addition to NCI-specific scholarships, international students may be eligible for government-sponsored scholarships. These scholarships are typically awarded based on agreements and partnerships between the student's home country and Ireland.
External Scholarships: NCI encourages international students to explore external scholarship opportunities, including those offered by international organizations, foundations, and corporations. The institution provides guidance to help students identify and apply for these scholarships.
Financial Aid and Grants: NCI's financial aid office assists international students in understanding and accessing available grants and loans, including those provided by the Irish government. The institution is dedicated to making higher education more accessible to deserving students.
Work-Study Programs: International students at NCI can explore part-time work opportunities while studying in Ireland. These work-study programs allow students to gain valuable work experience and support their living expenses.
Graduates of the MSc in Data Analytics program at National College of Ireland have a wide array of career options, leveraging their expertise in data analytics.
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Data Analyst: Graduates can pursue careers as data analysts, responsible for collecting, interpreting, and presenting data to inform decision-making.
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Data Scientist: Opportunities exist for graduates to work as data scientists, using advanced techniques to analyze and extract insights from complex data sets.
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Business Intelligence Analyst: Graduates may choose roles as business intelligence analysts, focused on providing data-driven insights to guide strategic business decisions.
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Machine Learning Engineer: Graduates can explore careers as machine learning engineers, developing algorithms and models for predictive analytics.
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Data Engineer: Those interested in data infrastructure can enter roles as data engineers, responsible for designing and maintaining data systems.
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Quantitative Analyst (Quant): Graduates may pursue careers as quants, using statistical and mathematical models for financial analysis and risk management.
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Market Research Analyst: Opportunities are available for graduates to work as market research analysts, collecting and analyzing data to guide marketing strategies.
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Data Consultant: Those with a passion for consulting can enter roles as data consultants, advising organizations on data-related strategies and implementations.
