Data Science and Big Data

Sub-disciplines

Cyber Security

Data Science & Big Data

Geographical Information Systems

Health Informatics

Human Computer Interaction

IT Security

Informatics & Information Science

Machine Learning

Software Engineering

Video Games & Multimedia

Web Technologies & Cloud Computing

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This field is an immensely important field with concepts that are becoming increasingly popular. At present, the entire world is storing a lot of data at a very fast rate, and it has become critical to take care of it significantly.

Data Science deals with several specific domains and skills to comprehend information and knowledge from data extraction. Big Data refers to massive data sets that necessitate prevailing logistical challenges in order to acquire, store, accumulate, operate, and evaluate information.

Data science programs combine math, business skills, tools, algorithms, and master methods to help students make effective business choices and predictions. Big data courses, on the contrary, teach students how to organise, analyse, interpret and apply Big Data to real-world issues. It prepares them to question the appropriate information, communicate efficiently with data scientists and conduct key research on comprehensive and complex datasets.

Study levels:

The study levels that offer Data Science and Big Data studies are:
Bachelor in Applied Data Analytics
Bachelor in Applied Data Science
Bachelor in Business Administration and Data Analytics
Bachelor in Communication and Media studies
Bachelor in Computer Programming
Bachelor in Computer Systems Technician
Bachelor in Data Analysis
Bachelor in Data Science and Big Data Technology
Bachelor in Mathematics and Statistics and Operational Research
Bachelor in Physics with Computing
Bachelor in Software Development
Bachelor of Applied Computer Science
Bachelor of Computing Science
Bachelor of Data Science
Bachelor of Data Science with Applied Business Informatics
Bachelor of Engineering
Bachelor of Information Management and Multimedia
Bachelor of Information Technology
Bachelor of Science
Master Data Analytics
Master in Applied Data Analytics
Master in Applied Data Science
Master in Business Administration and Data Analytics
Master in Communication and Media Studies
Master in Computer Programming
Master in Computer Systems Technician
Master in Data Analysis
Master in Mathematics and Statistics and Operational Research
Master in MBA Big Data & Management
Master in Physics with Computing
Master in Software Development
Master of Applied Computer Science
Master of Computing Science
Master of Data Science
Master of Data Science with Applied Business Informatics
Master of Engineering
Master of Information Management and Multimedia
Master of Information Technology
Master of Science

Specialisations:

The specialisation subjects offered in this sub-discipline are:

Specialisation

Business Intelligence and Strategy-Making
Cloud and Distributed Computing
Computational Biology and Bioinformatics
Cyber security Data Analysis
Data Engineering and Data Warehousing
Data Mining and Statistical Analysis
Data Visualisation and Presentation
Database Management and Data Architecture
Domain Expertise

Machine Learning and Cognitive Specialist
Market Data Analytics
Market-Related Data Analysis
ML/Cognitive Computing Development
Natural Language Processing
Operations-Related Data Analytics
Project Management
Sector-Specific Data Analytics (Healthcare, Finance, Insurance)

Employability:

Graduates of Data Science and Big Data can find work in a variety of private and public sectors. Banking and financial services, energy and utilities, pharmaceuticals and healthcare, e-commerce, media and entertainment, telecommunications, automobiles, retail and consumer goods, and travel and hospitality are among them.

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