Skymark Education
Griffith College
Griffith College

Postgraduate Diploma in Big Data Management and Analytics

Griffith College, Ireland

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Course Overview

Tailored to meet the industry's growing demands, Griffith College's Postgraduate Diploma in Big Data Management and Analytics is a one-year program, conducted on two evenings weekly and Saturdays. This program enhances students' computing science foundation to cultivate specialized skills in big data. Upon completion, you will: 1. Acquire specialized knowledge and skills crucial for a career in Big Data Management and Analytics. 2. Cultivate an analytical mindset vital for independent academic and professional research. 3. Develop a practical understanding of the appropriate design and implementation strategies employed in creating Big Data solutions. 4. Foster a team player attitude essential for effectively communicating problems, ideas, and solutions across all levels of an industrial team. 5. Expand your knowledge of supporting topics in the realm of Computing Science.

Course Type
PG DIPLOMA
Course Nature
Full Time
Course Duration
1 Year
Total Fee
€12000
Intake
September 2024 , February 2024
Language Proficiency

Under Graduation:60%

IELTS:6.5

Duolingo:115


Documents Required
  • 10TH
  • 12TH
  • DEGREE
  • DEGREE PROVISSIONAL CERTIFICATE
  • Degree Consolidated Marksheet
  • Degree Individual Marksheet
  • PASSPORT
  • CV
  • SOP
  • EXPERIANCE CERTIFICATES
University
Griffith College
University Details

Griffith College is among the largest colleges in Ireland, which was founded in 1974. The core faculties and schools of Griffith College include the Faculty of Business, Faculty of Journalism & Media Communications, Faculty of Computing, Griffith Institute of Language, Faculty of Counselling & Psychotherapy, Faculty of Design, Graduate Business School, Faculty of Engineering, Faculty of Professional Accountancy, Faculty of Law, Faculty of Music & Multimedia, Faculty of Pharmaceutical Science, Faculty of Professional Law, Faculty of Teaching and Learning, Faculty of Lifelong Learning and The Leinster School of Music & Drama.

Syllabus

Modules

  • Big Data Analytics

    • Focuses on analyzing large datasets to extract meaningful insights using various tools and techniques.

  • Information Retrieval and Web Search

    • Covers methods and algorithms for retrieving relevant information from the web and other sources.

  • Concurrent and Parallel Programming

    • Explores techniques for developing software that can execute multiple tasks concurrently or in parallel.

  • Cloud Computing

    • Examines the principles, technologies, and applications of cloud computing for scalable and efficient data processing.

  • Big Data Management

    • Discusses strategies and technologies for storing, managing, and processing large volumes of data.

  • Data Mining Algorithms and Techniques

    • Introduces algorithms and methodologies for discovering patterns and knowledge from large datasets.

  • Applied Data Science

    • Applies data science principles and techniques to solve real-world problems and make data-driven decisions.

  • Research Methods

    • Covers methodologies and approaches used in research, including qualitative and quantitative methods.

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