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Students
Tuition Fee
Start Date
Medium of studying
Duration
24 months
Program Facts
Program Details
Degree
Diploma
Major
Data Analytics | Data Science
Area of study
Information and Communication Technologies
Course Language
English
About Program

Program Overview


The Higher Diploma in Data Analytics at TUS Athlone is a conversion course designed for those seeking to formalize their knowledge in Data Analytics or embark on a career in the field. It provides a comprehensive understanding of essential tools, techniques, and principles, equipping graduates with the skills to excel as Data Analytics practitioners. The program emphasizes flexibility, collaboration, and real-world application through a semester-long project. Graduates are well-prepared for careers as Data Analysts, Entry-level Data Scientists, and other roles in the rapidly growing field of Data Analytics.

Program Outline


Degree Overview:

This Higher Diploma in Science in Data Analytics is a conversion course designed for individuals holding a Level 8 honours degree, regardless of their field of study. It caters to those whose careers have led them towards analytics, seeking to formalize their knowledge with a recognized qualification. It also welcomes individuals with no prior experience in Data Analytics who aspire to work in this field.


Objectives:

The program aims to provide students with a comprehensive understanding of the essential skills, techniques, tools, and attitudes required to excel as Data Analytics practitioners. It equips graduates with the necessary skills and aptitudes to thrive in the emerging field of Data Analytics, enabling them to interpret data context, apply appropriate techniques, and utilize relevant tools to generate insightful data analysis.


Program Description:

The program emphasizes flexibility in learning and collaboration opportunities, utilizing platform-independent technologies to accommodate busy schedules.


Outline:


Program Content:

  • Database Systems
  • Programming
  • Probability and Statistics
  • Data Analytics 1
  • Advanced Databases
  • Interpretation of Data 1
  • Data Analytics 2
  • Data Analytics Project:
  • Interpretation of Data 2
  • Data Analytics Case Studies
  • Capstone (semester-long) Project

Structure:

The program is delivered online, with students potentially required to attend TUS Athlone Campus in person for examinations.


Course Schedule:

Two evenings per week (online) from 7.00 pm to 9.00 pm. Lectures are delivered live online, and recordings are available for students to access at their convenience.


Modules:

  • Database Systems: This module introduces students to the fundamentals of database systems, covering concepts such as relational databases, SQL, database design, and normalization.
  • Students will learn about data structures, algorithms, and object-oriented programming principles.
  • Probability and Statistics: This module provides a foundation in probability and statistics, covering topics such as descriptive statistics, probability distributions, hypothesis testing, and statistical inference.
  • Advanced Databases: This module delves deeper into database concepts, exploring advanced topics such as database security, transaction management, and data warehousing.
  • Data Analytics 2: This module builds upon the concepts introduced in Data Analytics 1, covering advanced data analytics techniques such as predictive modeling, machine learning, and deep learning.
  • Data Analytics Project: This module involves a semester-long project where students apply their acquired knowledge and skills to solve a real-world data analytics problem.
  • The project includes data collection, data analysis, model development, and presentation of findings.

Teaching:

The program is delivered online, with lectures delivered live and recordings available for students to access at their convenience. The program is taught by experienced and dedicated staff who are committed to student success.


Careers:

Graduates of this program are well-prepared for a variety of careers in the field of Data Analytics, including:

  • Data Analyst
  • Entry-level Data Scientist
  • Performance and Analytics Analyst
  • Data Operations Analyst
  • Business Intelligence Analyst

Other:

The program covers key areas of Data Analytics, including programming, SQL, mathematics (statistics), case studies, and project work. No prior knowledge is assumed, and students will develop skills in areas such as the Python programming language, statistics, databases, data analytics (utilizing the R language), case studies, and a semester-long capstone project.

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Admission Requirements

Entry Requirements:

A Level 8 Honours degree or equivalent in any discipline. Please note a Level 8 Higher Diploma does not meet the entry requirements. Those without the relevant qualifications, but with substantive and relevant experience, may be considered through the Recognition of Prior Learning process at TUS Athlone.

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