Data Science and Big Data is a hugely important field with notions that are growing more popular. At the moment, the entire globe is storing a lot of data at a very fast rate, and it has become important to take substantial care of it.

Data Science is concerned with numerous distinct fields and abilities for comprehending information and knowledge extracted from data. Massive data sets necessitate current logistical issues in order to obtain, store, accumulate, operate, and assess information.

Data science programmes combine math, business skills, tools, algorithms, and master methodologies to assist students in making sound business decisions and forecasts. On the contrary, big data courses educate students how to organise, analyse, interpret, and apply Big Data to real-world problems. It prepares them to ask pertinent questions, communicate effectively with data scientists, and conduct critical research on large and complicated datasets.

Study Levels

Data Science and Big Data studies are available at the following study levels:

• 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

Specialisation

This sub-discipline offers the following specialisation subjects:

• Business Intelligence and Strategy-Making
• Cloud and Distributed Computing
• Computational Biology and Bioinformatics
• Cybersecurity Data Analysis
• Data Engineering and Data Warehousing
• Data Mining and Statistical Analysis
• Data Visualization 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

Data Science and Big Data graduates can find jobs in a number of business and public industries. Among them are banking and finance, energy and utilities, pharmaceuticals and healthcare, e-commerce, media and entertainment, telecommunications, autos, retail and consumer goods, and travel and hospitality. The jobs available for data science and big data in India are:

• Data Analyst
• Data Engineers
• Database Administrator
• Machine Learning Engineer
• Data Scientist
• Data Architect and Administrators
• Statistician and Mathematician
• Business Intelligence Analyst
• Data and Analytics Manager
• Marketing Analyst
• Clinical Data Managers

Graduates of Data Science and Big Data courses have the following employment options abroad:

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Data Engineer
• Machine Learning Scientist
• Data Architect
• Business Intelligence Developer
• Statistician
• Enterprise Architect
• Infrastructure Architect
• Business Intelligence Analyst
• Quantitative Analyst
• Data Analytics Consultant
• Operations Analyst
• Marketing Analyst
• IT Systems Analyst
• Transportation Logistics Specialist
• Data Management Professional
• Data-Oriented Professional
• Application Architect