Dublin Business School
Dublin Business School

Higher Diploma in Science in Data Analytics

Dublin Business School, Ireland

Course Overview

The Higher Diploma in Science in Data Analytics is designed to equip learners with practical knowledge and skills in computing and data science, enabling them to upskill or reskill in this field. This program aims to enhance participants' understanding of the theory and application of Data Analytics, preparing them for employment as graduate-level ICT/Data Analytical practitioners across diverse commercial, industrial, and public sector settings. Participants will gain theoretical insights essential for applying advanced analytics in areas such as web and business applications, predictive modeling, statistics, programming, machine learning, and advanced visualization. They will use various tools and techniques to analyse data sets, generating actionable insights for stakeholders and contributing to strategic decision-making.

Course Type
PG DIPLOMA
Course Nature
Full Time
Course Duration
1 Year
Total Fee
€10050
Intake
April 2024
Language Proficiency

Under graduation:55%

IELTS:6.5

Documents Required
  • 10TH
  • 12TH
  • DEGREE
  • DEGREE PROVISSIONAL CERTIFICATE
  • Degree Consolidated Marksheet
  • Degree Individual Marksheet
  • PASSPORT
  • LOR 1
  • LOR 2
  • CV
  • IELTS
  • SOP
  • EXPERIANCE CERTIFICATES
University
Dublin Business School
University Details

Syllabus

Module 1: Statistics for Data Analytics

  • Basic Concepts of Statistics for Data Analysis
  • Descriptive and Inferential Statistics
  • Probability Distributions and Hypothesis Testing

Module 2: Programming for Data Analytics

  • Introduction to Programming Languages for Data Analytics (e.g., Python, R)
  • Data Structures and Algorithms for Data Manipulation
  • Scripting and Automation for Data Processing

Module 3: Databases and Business Applications

  • Fundamentals of Database Management Systems (DBMS)
  • SQL for Data Retrieval and Manipulation
  • Business Applications of Database Systems

Module 4: Platforms for Data Analytics

  • Overview of Data Analytics Platforms (e.g., Hadoop, Spark)
  • Cloud Computing for Data Analytics
  • Implementing Data Pipelines and Workflows

Module 5: Big Data Managing and Processing

  • Introduction to Big Data Concepts and Technologies
  • Data Storage and Management in Big Data Environments
  • Distributed Processing and Scalability in Big Data Systems

Module 6: Data and Network Mining

  • Techniques for Data Mining and Pattern Discovery
  • Network Analysis and Graph Mining
  • Ethical and Legal Considerations in Data Mining

Module 7: Applied Data Analytics

  • Application of Data Analytics in Various Domains (e.g., Finance, Healthcare)
  • Case Studies and Real-World Applications of Data Analytics
  • Problem-Solving Approaches in Applied Data Analysis

Module 8: Data Visualization & Communications

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