MSc in Sport Performance Practice
The MSc in Sport Performance Practice at Atlantic Technological University is a meticul...
MSc in Big Data Analytics
Letterkenny
INTAKE: September
Program Overview
The MSc in Big Data Analytics at Atlantic Technological University is a meticulously designed program that equips students with the knowledge and skills needed to excel in the field of big data analytics. This program focuses on harnessing the power of big data to gain insights and make data-driven decisions.
Curriculum: The program's curriculum is thoughtfully designed to provide students with a comprehensive understanding of big data analytics. It covers a wide range of topics, including data collection, data preprocessing, data mining, machine learning, and data visualization. Students gain practical experience through hands-on projects, data analysis, and real-world applications, ensuring they are well-prepared to address complex challenges in big data analytics.
Research Focus: Atlantic Technological University places a strong emphasis on research within the field of big data analytics. Students are encouraged to engage in research projects that explore emerging trends in big data, develop innovative data analytics techniques, and contribute to advancements in the field. The faculty, composed of experienced researchers, actively support and mentor students in their research endeavors, fostering a culture of inquiry and innovation.
Industry Engagement: One of ATU's strengths is its extensive industry connections. The Big Data Analytics program incorporates practical experiences, internships, and collaborations with leading tech companies, data-driven organizations, and research institutions. This ensures that students gain real-world exposure to the dynamic big data landscape. This practical engagement equips graduates with the skills and knowledge needed to excel in big data analytics roles.
Global Perspective: ATU promotes a global perspective within its programs, including the Big Data Analytics specialization. The curriculum explores international best practices in big data analytics, global trends in data-driven decision-making, and the importance of cross-cultural collaboration in data analytics. The diverse student body and faculty enrich the program with a multitude of global perspectives and insights, preparing graduates for big data analytics on a global scale.
Location
Letterkenny
Score
IELTS 6.5
Tuition Fee
€ 12000
Postgraduate Entry Requirements
Academic Qualifications: To be eligible for postgraduate programs, applicants should hold a bachelor's degree with a minimum grade of 60% or above. Applicants need to provide evidence of their undergraduate degree.
English Language Proficiency:
- IELTS: A minimum overall score of 6.5 to 7.0 is necessary, with a minimum of 6 in each section.
- TOEFL: An overall score of 80 or higher in the TOEFL exam is considered acceptable.
- DET (Duolingo English Test): Applicants must achieve a minimum overall score of 105 for the DET.
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.
Atlantic Technological University is dedicated to supporting international students in their pursuit of higher education. To this end, the university offers a range of scholarships and financial aid opportunities to help make studying in Ireland more affordable.
Merit-Based Scholarships: Atlantic Technological University offers merit-based scholarships for outstanding international students. These scholarships are awarded to students who have demonstrated exceptional academic performance and achievements.
Need-Based Financial Aid: The university provides financial aid to international students based on their financial needs. This assistance is designed to help students who may face financial challenges in pursuing their education.
Country-Specific Scholarships: Some scholarships may be available to students from specific countries. These scholarships are often established through government partnerships or institutional collaborations.
Research Scholarships: For students interested in research programs, Atlantic Technological University offers research scholarships that support research projects and endeavors. These scholarships can cover tuition fees, living expenses, and research-related costs.
Sports Scholarships: If you are a student-athlete with exceptional sporting talents, you may be eligible for sports scholarships. These scholarships can help you balance your academic and athletic pursuits.
External Scholarships: Atlantic Technological University encourages students to explore external scholarship opportunities provided by governments, foundations, and organizations in their home countries.
Graduates of the MSc in Big Data Analytics program at Atlantic Technological University have a wide array of career options available.
-
Data Scientist: Graduates can assume roles as data scientists, responsible for analyzing complex data sets, developing algorithms, and providing data-driven insights.
-
Big Data Engineer: Opportunities exist for graduates to work as big data engineers, specializing in the development and maintenance of big data platforms.
-
Machine Learning Specialist: Graduates may work as machine learning specialists, designing and implementing machine learning models for various industries.
-
Business Intelligence Analyst: Graduates can become business intelligence analysts, focusing on data visualization, reporting, and business analytics.
-
Big Data Consultant: Graduates can work as big data consultants, advising organizations on how to utilize big data for strategic decision-making.
-
Data Analyst: Opportunities are available for graduates to work as data analysts, responsible for collecting, cleaning, and interpreting data to support business objectives.
